Skip Navigation
Skip to contents

Epidemiol Health : Epidemiology and Health

OPEN ACCESS
SEARCH
Search
Advanced Search
mobile menu button

Page Path
HOME > Browse articles
196
Filter
Filter
Keywords
More +
Original Articles
Persistence of vaccine-induced antibodies to A/H5N1 at 30 months and 36 months after vaccination in Vietnam
Chien Vien Chinh, Viet Phu Quoc, Loc Huynh Tan, Duoc Nguyen Van, Thai Pham Quang, Be Le Van
Epidemiol Health. 2021;43:e2021076.   Published online October 6, 2021
DOI: https://doi.org/10.4178/epih.e2021076
  • 3,744 View
  • 71 Download
AbstractAbstract PDF
Abstract
OBJECTIVES
An A/H5N1 vaccine (IVACFLU-A/H5N1) was accepted for use in Vietnam; however, antibody persistence after vaccination has not been well characterized. We examined post-vaccination antibody persistence and related risk factors in individuals enrolled in the phase II IVACFLU-A/ H5N1 vaccine trial in Ninh Hoa, Vietnam, who received a 15-μg dose (2 injections 21 days apart).
METHODS
We used a longitudinal study design to follow 86 participants, without a control group. The participants tested as anti-A/H5N1 immunoglobulin G seronegative at baseline and received both doses of the vaccine. Blood was drawn at 30 months and 36 months after the complete vaccination to assess antibody status. Antibody persistence status was compared by demographic characteristics and exposure risk factors using univariate logistic regression.
RESULTS
In total, 84.9% and 52.3% of the population showed persistence of at least 1/10 of the A/H5N1 antibodies at 30 months and 36 months after IVACFLU-A/H5N1 vaccination, respectively. The odds of antibody persistence were higher in older people, but lower in people who had experienced flu-like symptoms in the past 18 months or between 2 visits. We recorded no differences between A/H5N1 antibody persistence and exposure risk factors, including having a poultry farm, coming into contact with poultry, and slaughtering and processing poultry.
CONCLUSIONS
This study demonstrated noteworthy antibody persistence, indicated by the seroconversion rate and geometric mean titer at 30 months and 36 months after the IVACFLU-A/H5N1 vaccine. Further studies should investigate older people and those who experienced flu-like symptoms to determine a suitable time for a booster shot.
Summary
Korean summary
Key Message
A longitudinal un-controlled study followed participants enrolled in the phase II IVACFLU-A/ H5N1 vaccine trial in Ninh Hoa, Vietnam. The participants tested for anti-A/H5N1 IgG at baseline, 30 months, and 36 months after the complete vaccination to assess antibody status. 84.9% and 52.3% of the population have persistence of at least 1/10 of the A/H5N1 antibodies at 30 months and 36 months, respectively. Antibody persistence was higher in older people but lower in people who had experienced flu-like symptoms in the past or between 2 visits. The result can interpret that remarkable antibody persistence long after vaccination.
Epidemiology and treatment status of hepatitis C virus infection among people who have ever injected drugs in Korea: a prospective multicenter cohort study from 2007 to 2019 in comparison with non-PWID
Kyung-Ah Kim, Gwang Hyun Choi, Eun Sun Jang, Young Seok Kim, Youn Jae Lee, In Hee Kim, Sung Bum Cho, Moran Ki, Hwa Young Choi, Dahye Paik, Sook-Hyang Jeong
Epidemiol Health. 2021;43:e2021077.   Published online October 6, 2021
DOI: https://doi.org/10.4178/epih.e2021077
  • 5,157 View
  • 225 Download
  • 1 Citations
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
Injection drug use is a major risk factor for hepatitis C virus (HCV) infection; however, limited data on this topic are available in Korea. Thus, this study aimed to investigate the epidemiological and clinical characteristics, treatment uptake, and outcomes of HCV infection among people who inject drugs (PWID).
METHODS
We used the data from the Korea HCV cohort, which prospectively enrolled patients with HCV infection between 2007 and 2019. Clinical data and results of a questionnaire survey on lifetime risk factors for HCV infection were analyzed according to a self-reported history of injection drug use (PWID vs. non-PWID group).
RESULTS
Among the 2,468 patients, 166 (6.7%) were in the PWID group, which contained younger patients (50.6±8.2 vs. 58.2±13.1 years) and a higher proportion of male (81.9 vs. 48.8%) than the non-PWID group. The distribution of PWID showed significant regional variations. Exposure to other risk factors for HCV infection was different between the groups. The proportion of patients with genotype non-2 infection was higher in the PWID group. Treatment uptake was higher in the PWID group in the interferon era; however, it was comparable between the groups in the direct-acting antiviral era. The rate of sustained virological response did not significantly differ between the groups.
CONCLUSIONS
As of 2019, PWID constituted a minority of HCV-infected people in Korea. The epidemiological characteristics, but not treatment uptake and outcomes, were different between the PWID and non-PWID groups. Therefore, active HCV screening and treatment should be offered to PWID in Korea.
Summary
Korean summary
1. 국내 C형간염 환자 중 정맥주사 사용자의 비율은 6.7%로 서구에 비하면 낮은 편이며, 지역별로 차이가 있다. 2. C형간염 환자 중 정맥주사 사용자는 비사용자에 비하여 연령, 성별 및 C형간염 위험 요인 노출 등에서 상이한 역학적 특성을 보인다. 3. 정맥주사 사용자의 C형간염 치료 수용률이나 치료 성공률은 비사용자와 비슷하다.
Key Message
As of 2019, PWID comprised a minority (6.7%) of all HCV-infected people in South Korea. The epidemiological features of the PWID group were different from those of the non-PWID group in terms of age, sex and exposure to risk factors of HCV infection. However, the treatment uptake and outcomes were not significantly different between these 2 groups in DAA era. Therefore, considering the global and national increase in the number of PWID and the contribution of PWID to new cases of HCV infection, active screening and treatment should be offered to PWID in Korea.

Citations

Citations to this article as recorded by  
  • Prevalence and factors associated with hepatitis C among pregnant women in China: a cross-sectional study
    Sun He, Gao Shuang, Wu Yinglan, Wang Lan, Wang Wei, Wang Ailing, Wang Changhe, Wang Xiaoyan, Gao Qun, Lu Zechun, Huang Dongxu, Wang Yu, Mo Phoenix Kit Han, Chen Zhongdan, Polin Chan, Wang Qian
    Scientific Reports.2023;[Epub]     CrossRef
The effects of information-seeking behaviours on prevention behaviours during the COVID-19 pandemic: the mediating effects of anxiety and fear in Korea
Kwanghyun Kim, Jisu Yang, Ye Jin Jeon, Yu Jin Lee, Youngrong Lee, Hyeon Chang Kim, Karestan Koenen, Yong-Chan Kim, Sun Jae Jung
Epidemiol Health. 2021;43:e2021085.   Published online October 19, 2021
DOI: https://doi.org/10.4178/epih.e2021085
  • 5,668 View
  • 173 Download
  • 4 Citations
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
Identifying determinants of prevention behaviours during the emergence of a new infectious disease is important. We investigated the associations between information-seeking and prevention behaviours during the coronavirus disease 2019 (COVID-19) pandemic and mediating effects of psychiatric factors.
METHODS
In total, 1,970 participants from the Cardiovascular and Metabolic Etiology Research Center cohort participated in an online survey 55 days after the first COVID-19 case in Korea was diagnosed. Time spent seeking information related to COVID-19; information sources; psychiatric factors, including anxiety, depression, post-traumatic stress symptoms (PTSS), and the fear of COVID-19; and prevention behaviours were examined. The mediating effect of psychiatric factors was estimated using mediation analysis.
RESULTS
Time spent seeking information and information sources affected several behavioural responses. In men, anxiety mediated associations between information-seeking and prevention behaviours, including purchasing sanitary supplies (effect size [ES], 0.038; 95% confidence interval [CI], 0.002 to 0.095) and hoarding (ES, 0.029; 95% CI, 0.002 to 0.068). The fear of COVID-19 also mediated associations between information-seeking and prevention behaviours including refraining from going out (men: ES, 0.034; 95% CI, 0.009 to 0.068; women: ES, 0.052; 95% CI, 0.030 to 0.080), wearing face masks (men: ES, 0.085; 95% CI, 0.031 to 0.184), avoiding public transportation (men: ES, 0.020; 95% CI, 0.000 to 0.044; women: ES, 0.031; 95% CI, 0.015 to 0.051), hoarding (women: ES, 0.051; 95% CI, 0.029 to 0.792), and trying alternative remedies (men: ES, 0.024; 95% CI, 0.004 to 0.053). Depressive symptoms and PTSS did not have any mediating effects.
CONCLUSIONS
While the availability of information related to COVID-19 can help prevent infections, it can also promote anxiety and fear, leading to negative behaviours such as hoarding and trying unverified alternative treatments.
Summary
Korean summary
-본 연구는 한국인에서 코로나-19 관련 정보탐색이 예방 행동과 상관관계가 있는지를 확인하고 불안, 공포, 우울을 비롯한 심리 상태가 이 상관관계를 매개하는 메커니즘으로 작용하는지를 확인하고자 하였다. - 본 코호트 연구에서 정보 탐색 시간이 길어질수록 예방 행동을 취하는 빈도가 증가하였으며 불안 및 코로나-19에 대한 공포가 이 둘 사이의 상관관계를 일부 매개하였다. - 정보탐색이 증가할수록 외출 자제, 마스크 착용, 대중교통 이용 자제와 같은 권장되는 예방 행동을 취할 가능성도 증가하였지만 사재기를 하거나 검증되지 않은 대체요법에 의지하는 등 권장되지 않는 예방 행동을 취할 가능성 또한 같이 증가하였다.
Key Message
In this study, we tried to test the association between information-seeking behavior and preventive measures during COVID-19 pandemic. We also tried to understand whether psychologic factors such as anxiety, fear against COVID-19 and depression mediate the association. We found that time used for searching COVID-19-related information is positively associated with preventive behaviors, and that anxiety and fear mediate the association. Information seeking increased the probability of utilizing recommended prevention strategy such as wearing facial masks and refraining from going out, but also promoted prevention behavior not recommended by government officials such as hoarding and trying alternative remedies.

Citations

Citations to this article as recorded by  
  • Coronavirus disease 2019 information-seeking behavior globally: a systematic review
    Tadele Fentabil Anagaw, Habtamu Alganeh Guadie
    SAGE Open Medicine.2023; 11: 205031212311535.     CrossRef
  • Assessing Knowledge, Preventive Practices, and Depression Among Chinese International Students and Local Korean Students in South Korea During the COVID-19 Pandemic: An Online Cross-Sectional Study
    Xiaoxu Jiang, Bo Zhao, Eun Woo Nam, Fanlei Kong
    Frontiers in Psychiatry.2022;[Epub]     CrossRef
  • Association between fear of COVID-19 and hoarding behavior during the outbreak of the COVID-19 pandemic: The mediating role of mental health status
    Ye Zhao, Yang Yu, Ruofan Zhao, Yiming Cai, Shuai Gao, Ye Liu, Sheng Wang, Huifeng Zhang, Haiying Chen, Youdong Li, Haishui Shi
    Frontiers in Psychology.2022;[Epub]     CrossRef
  • Fear of COVID-19 and Prevention Behaviors: Cross-Lagged Panel Analysis
    Katherine M Anderson, Jamila K Stockman
    JMIR Formative Research.2022; 6(11): e35730.     CrossRef
The BRAIN-Q, a tool for assessing self-reported sport-related concussions for epidemiological studies
Laura James, Madeline Davies, Saba Mian, Giulia Seghezzo, Elizabeth Williamson, Simon Kemp, Nigel Arden, Damien McElvenny, Neil Pearce, Valentina Gallo
Epidemiol Health. 2021;43:e2021086.   Published online October 19, 2021
DOI: https://doi.org/10.4178/epih.e2021086
  • 4,232 View
  • 112 Download
  • 1 Citations
AbstractAbstract PDFSupplementary Material
Abstract
OBJECTIVES
The BRAIN-Q is a tool aimed at maximising the accuracy and minimising measurement error for retrospectively assessing concussions. This paper reports the agreement of the BRAIN-Q tool when compared to extant questionnaire questions, and its reproducibility when compared with its telephonic version (tBRAIN-Q).
METHODS
The BRAIN-Q entails a 3-stage process: defining a concussion, creating a visual timeline with life events, and establishing detailed characteristics for each reported concussion. It was designed to be administered in-person by trained personnel, and was used in the BRAIN study. Its performance was compared with the MSK study, which previously collected a few questions in a broader self-administered questionnaire, and with the tBRAIN-Q Recall, its telephonic version.
RESULTS
In total, 101 participants were included, of whom 9 were re-assessed with the tBRAIN-Q. The agreement of the BRAIN-Q with the muscle skeletal-questionnaire for rugby-related concussion was 86.7% (κ=0.6). Rugby-related concussion with loss of consciousness showed lower agreement (82.0%; κ=0.6). The comparison between the BRAIN-Q and the tBRAIN-Q showed good reproducibility.
CONCLUSIONS
The BRAIN-Q is a relatively easy tool to administer in face-to-face assessments, and it showed optimal reproducibility. It includes a well-established definition of concussion, and is used to collect detailed information on each concussion, allowing for a number of subgroup analyses (e.g., by severity, age, or context). The BRAIN-Q is easily adaptable to other sporting settings.
Summary
Korean summary
Key Message
The BRAIN-Q is a new tool for assessing self-reported sport-related concussion in epidemiological studies. It is relatively easy to administer, it showed optimal reproducibility, and can be used by phone.

Citations

Citations to this article as recorded by  
  • Concussion and long‐term cognitive function among rugby players—The BRAIN Study
    Valentina Gallo, Damien M. McElvenny, Giulia Seghezzo, Simon Kemp, Elizabeth Williamson, Kirsty Lu, Saba Mian, Laura James, Catherine Hobbs, Donna Davoren, Nigel Arden, Madeline Davies, Andrea Malaspina, Michael Loosemore, Keith Stokes, Matthew Cross, Seb
    Alzheimer's & Dementia.2022; 18(6): 1164.     CrossRef
COVID-19: Systematic Review
Quality of biosafety guidelines for dental clinical practice throughout the world in the early COVID-19 pandemic: a systematic review
Renata Cristina Soares, Juliana Schaia Rocha, Saulo Vinicius da Rosa, Jéssica Rodrigues da Silva Noll Gonçalves, Priscilla Lesly Perlas Condori, Ana Elisa Ribeiro, Samuel Jorge Moysés, Márcia Helena Baldani
Epidemiol Health. 2021;43:e2021089.   Published online October 22, 2021
DOI: https://doi.org/10.4178/epih.e2021089
  • 5,422 View
  • 170 Download
AbstractAbstract PDFSupplementary Material
Abstract
OBJECTIVES
To conduct a systematic review of coronavirus disease 2019 (COVID-19)-related biosafety guidelines for dental clinical practice in the early stage of the pandemic, focusing on quality assessment.
METHODS
Electronic (via PubMed, Scopus, Web of Science, Latin American and Caribbean Health Sciences Literature database, Brazilian Library in Dentistry, and Cochrane Library) and gray literature searches were performed for documents published up to May 12, 2020. Guidelines updated until April 17, 2021 were identified. Documents were included as guidelines if they (1) consisted of a set of statements, directions, or principles presenting current or future rules or policy; (2) were developed by government agencies, institutions, organizations, or expert panels; and (3) were related to the general conduct of healthcare activities rather a particular condition. Two researchers, using the Appraisal of Guidelines for Research & Evaluation II, independently extracted the recommendations and evaluated the quality of the guidelines.
RESULTS
Twenty-seven documents from 19 countries were included in the review. These documents presented 122 recommendations related to (1) professional biosafety; (2) patients’/companions’ safety; (3) the organization and biosafety of the physical dental facility environment; and (4) the work process in dental care. Overall, the scientific quality of the guidelines was considered low. Some recommendations presented in these guidelines would require further research to establish their effectiveness.
CONCLUSIONS
We found a wide variety of biosafety guidelines for dental practice regarding COVID-19 in the early months of the pandemic, but their quality was low. Biosafety recommendations should be frequently updated.
Summary
Korean summary
Key Message
Despite the wide variety of biosafety guidelines for dental practice regarding COVID-19 in the early months of the pandemic, their quality was low. These findings demonstrate the need for more guidelines for dental practice with more high-quality evidence, focusing on clarification of the strictness of development, financing, conflicts of interest, and applicability. Guidelines with high scientific quality are essential for the formation of a robust scientific consensus facilitating the ability to offer safer and more reliable procedures in the pandemic context.
Original Articles
A comprehensive study of deaths due to exposure to humidifier disinfectant in Korea: focusing on medical records, assessment of exposure to humidifier disinfectants, and causes of death
Yeong Jun Ju, Seungho Lee, Seungsoo Sheen, Dong-Woo Choi, Jong-Han Leem, Soon Young Lee
Epidemiol Health. 2021;43:e2021091.   Published online November 1, 2021
DOI: https://doi.org/10.4178/epih.e2021091
  • 5,926 View
  • 260 Download
  • 2 Citations
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
We aimed to determine the characteristics of the deceased victims of deaths caused by exposure to humidifier disinfectants, and present the distribution of the victims’ data submitted for damage application, demographic characteristics, imaging findings, characteristics of humidifier disinfectant exposure, and distribution of the causes of death.
METHODS
An integrated database of victims was established using the medical records data of 1,413 victims submitted during the application for death damage caused by exposure to humidifier disinfectants, and the demographic characteristics, medical records, imaging findings, exposure characteristics, and cause of death were examined.
RESULTS
The average numbers of data submissions of each applicant for death damage were 3.0 medical use records. A total of 608 (43.0%) victims had more than one finding of acute, subacute, or chronic interstitial lung diseases. The average daily and cumulative use times of the victims were 14.40 and 24,645.81 hours, respectively, indicating greater exposure in this group than in the survivors. The humidifier disinfectants’ components comprised polyhexamethylene guanidine (72.8%), chloromethylisothiazolinone/methylisothiazolinone (10.5%), other components (15.0%), and oligo-[2-(2-ethoxy)-ethoxyethyl] guanidine chloride (1.5%). The components’ distribution was 67.8% for single-component use, which was higher than that in the survivors (59.8%). The distribution of the causes of death were: respiratory diseases (54.4%), neoplasms (16.8%), and circulatory diseases (6.3%). Other interstitial lung diseases (65.5%) were the most common cause of death among those who died due to respiratory diseases.
CONCLUSIONS
Careful discussions of appropriate remedies should be conducted based on a comprehensive understanding of the characteristics of the deceased victims, considering their specificities and limitations.
Summary
Korean summary
가습기 살균제 사망 피해 신청자 들 중 건강피해를 인정받지 못한 신청자들이 여전히 많이 남아있으며 (약 40%), 피해판정의 복잡성과 다양한 이슈들이 산적해 있어 사망 피해 신청자들의 적정 구제를 위해 종합적인 특성파악을 바탕으로 세심한 관점에서의 검토가 필요하다. 특히, 가습기 살균제 사망 피해 신청자의 특수성과 피해구제의 제한점을 고려하여야 하며, 기계적인 건강피해 판정을 지양하고 사망 피해 신청자 중심의 세밀한 특성 파악을 바탕으로 다양한 전문가집단이 참여하는 종합적인 논의를 통해 적정구제를 이루어 나가야 함을 제안한다.
Key Message
Careful discussions of appropriate remedies should be conducted based on a comprehensive understanding of the characteristics of the deceased victims, considering their specificities and limitations.

Citations

Citations to this article as recorded by  
  • Gene expression related to lung cancer altered by PHMG-p treatment in PBTE cells
    Yoon Hee Park, Sang Hoon Jeong, Hyejin Lee, Cherry Kim, Yoon Jeong Nam, Ja Young Kang, Jin Young Choi, Yu-Seon Lee, Su A. Park, Jaeyoung Kim, Eun-Kee Park, Yong-Wook Baek, Hong Lee, Ju-Han Lee
    Molecular & Cellular Toxicology.2023; 19(1): 205.     CrossRef
  • Health Effects Associated With Humidifier Disinfectant Use: A Systematic Review for Exploration
    Ji-Hun Song, Joonho Ahn, Min Young Park, Jaeyoung Park, Yu Min Lee, Jun-Pyo Myong, Jung-Wan Koo, Jongin Lee
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
Effect of chemotherapy and radiotherapy on cognitive impairment in colorectal cancer: evidence from Korean National Health Insurance Database Cohort
Kwanghyun Kim, Chang Woo Kim, Aesun Shin, Hyunseok Kang, Sun Jae Jung
Epidemiol Health. 2021;43:e2021093.   Published online November 2, 2021
DOI: https://doi.org/10.4178/epih.e2021093
  • 4,555 View
  • 133 Download
  • 2 Citations
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
We investigated the risk of chemotherapy-related and radiotherapy-related cognitive impairment in colorectal cancer patients.
METHODS
Medical use data of colorectal cancer patients were obtained from the Korean National Health Insurance Database from 2004 to 2018. We randomly selected 40% of all colorectal cancer patients (n=148,848). Cognitive impairment was defined as having 1 or more International Classification of Diseases, 10th revision diagnostic codes for dementia or mild cognitive impairment. Patients aged 18 years or younger, patients diagnosed with cognitive impairment before colorectal cancer diagnosis (n=8,225), and patients who did not receive primary resection (n=45,320) were excluded. The effects of individual chemotherapy regimens on cognitive impairment were estimated. We additionally estimated the effect of radiotherapy in rectal cancer patients. Time-dependent competing risk Cox regression was conducted to estimate the overall and age-specific hazard ratios (HR) separately for colon and rectal cancer. Landmark analyses with different lag times were conducted as sensitivity analyses.
RESULTS
Chemotherapy did not increase the risk of cognitive impairment in colorectal cancer patients (colon cancer: HR, 0.92; 95% confidence interval [CI], 0.83 to 1.03; rectal cancer: HR, 0.88; 95% CI, 0.75 to 1.04), while radiotherapy was negatively associated with cognitive impairment in rectal cancer patients (HR, 0.01; 95% CI, 0.84 to 0.99). Varying directions of the associations between regimens and cognitive impairment were detected. The adverse effect of certain chemotherapy regimens on cognition was more prominent in older adults.
CONCLUSIONS
Chemotherapy and radiotherapy did not increase the risk of cognitive impairment. Older patients with low cognitive reserve could be affected by the adverse cognitive effects of chemotherapy.
Summary
Korean summary
- 대장암 환자를 대상으로 한 항암화학요법 및 방사선요법은 인지기능저하의 위험을 높이지 않았다 - 일부 항암화학요법의 경우 고령의 대장암 환자에서 인지기능저하의 위험을 증가시킬 수 있다
Key Message
Results from nationwide cohort of Korea showed that chemotherapy and radiotherapy did not increase the risk of cognitive impairment in colorectal cancer patients.

Citations

Citations to this article as recorded by  
  • Chemotherapy-induced functional brain abnormality in colorectal cancer patients: a resting‐state functional magnetic resonance imaging study
    Siwen Liu, Yesong Guo, Jie Ni, Na Yin, Chenchen Li, Xuan Pan, Rong Ma, Jianzhong Wu, Shengwei Li, Xiaoyou Li
    Frontiers in Oncology.2022;[Epub]     CrossRef
  • Association between multimorbidity status and incident dementia: a prospective cohort study of 245,483 participants
    He-Ying Hu, Ya-Ru Zhang, Qiaolifan Aerqin, Ya-Nan Ou, Zuo-Teng Wang, Wei Cheng, Jian-Feng Feng, Lan Tan, Jin-Tai Yu
    Translational Psychiatry.2022;[Epub]     CrossRef
Real-world incidence of endopthalmitis after intravitreal anti-VEGF injections in Korea: findings from the Common Data Model in ophthalmology
Yongseok Mun, Seng Chan You, Da Yun Lee, Seok Kim, Yoo-Ri Chung, Kihwang Lee, Ji Hun Song, Young Gun Park, Young Hoon Park, Young-Jung Roh, Se Joon Woo, Kyu Hyung Park, Rae Woong Park, Sooyoung Yoo, Dong-Jin Chang, Sang Jun Park
Epidemiol Health. 2021;43:e2021097.   Published online November 9, 2021
DOI: https://doi.org/10.4178/epih.e2021097
  • 4,649 View
  • 203 Download
  • 3 Citations
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
The aim of this study was to evaluate the real-world incidence of endophthalmitis after intravitreal anti-vascular endothelial growth factor (VEGF) injections using data from the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM).
METHODS
Patients with endophthalmitis that developed within 6 weeks after intravitreal anti-VEGF injections were identified in 3 large OMOP CDM databases.
RESULTS
We identified 23,490 patients who received 128,123 intravitreal anti-VEGF injections. The incidence rates of endophthalmitis were 15.75 per 10,000 patients and 2.97 per 10,000 injections. The incidence rates of endophthalmitis for bevacizumab, ranibizumab, and aflibercept (per 10,000 injections) were 3.64, 1.39, and 0.76, respectively. The annual incidence has remained below 5.00 per 10,000 injections since 2011 despite the increasing number of intravitreal anti-VEGF injections. Bevacizumab presented a higher incidence rate for endophthalmitis than ranibizumab and aflibercept (incidence rate ratio, 3.17; p=0.021).
CONCLUSIONS
The incidence of endophthalmitis after intravitreal anti-VEGF injections has stabilized since 2011 despite the explosive increase in anti-VEGF injections. The off-label use of bevacizumab accounted for its disproportionately high incidence of endophthalmitis. The OMOP CDM, which includes off-label uses, laboratory data, and a scalable standardized database, could provide a novel strategy to reveal real-world evidence, especially in ophthalmology.
Summary
Korean summary
- 공통데이터모델 (Observational Medical Outcomes Partnership Common Data Model, OMOP CDM)을 통해 유리체강내 항혈관내피성장인자 주입술 후 발생한 안내염의 실세계 발생률 (Real-world incidence)은 1만명 당 15.75명, 주사 1만회 당 2.97회였음을 알 수 있었다. - 베바시주맙에서 다른 항혈관내피성장인자에 비해 유리체강내 주사 후 안내염 발생 비율이 높았으며, 이는 약제의 분주로 인한 오염과 관련이 있을 것이다. - 공통데이터모델은 건강보험 청구자료가 포함하지 않는 유리체강내 베바시주맙 사용과 같은 오프라벨 의약품 사용 자료까지 포함하기 때문에, 유리체강내 항혈관내피성장인자 주입 후 발생한 안내염의 인구기반 발생률 추정을 가능케 했다.
Key Message
- The real-world incidence of endophthalmitis after intravitreal anti-vascular endothelial growth factor (VEGF) injections was 15.75 per 10,000 patients and 2.97 per 10,000 injections based on data from the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). - Patients treated with bevacizumab showed a significantly higher incidence rate of post-injection endophthalmitis, which might have resulted from contamination related to the division of bevacizumab. - OMOP CDM provides insights into the population-based incidence rate of endophthalmitis since it covers off-label prescriptions including intravitreal bevacizumab, which the national claims database does not cover.

Citations

Citations to this article as recorded by  
  • Real-world treatment intensities and pathways of macular edema following retinal vein occlusion in Korea from Common Data Model in ophthalmology
    Yongseok Mun, ChulHyoung Park, Da Yun Lee, Tong Min Kim, Ki Won Jin, Seok Kim, Yoo-Ri Chung, Kihwang Lee, Ji Hun Song, Young-Jung Roh, Donghyun Jee, Jin-Woo Kwon, Se Joon Woo, Kyu Hyung Park, Rae Woong Park, Sooyoung Yoo, Dong-Jin Chang, Sang Jun Park
    Scientific Reports.2022;[Epub]     CrossRef
  • Blueprint for harmonising unstandardised disease registries to allow federated data analysis: prepare for the future
    Johannes A. Kroes, Aruna T. Bansal, Emmanuelle Berret, Nils Christian, Andreas Kremer, Anna Alloni, Matteo Gabetta, Chris Marshall, Scott Wagers, Ratko Djukanovic, Celeste Porsbjerg, Dominique Hamerlijnck, Olivia Fulton, Anneke ten Brinke, Elisabeth H. Be
    ERJ Open Research.2022; 8(4): 00168-2022.     CrossRef
  • Towards effective data sharing in ophthalmology: data standardization and data privacy
    William Halfpenny, Sally L. Baxter
    Current Opinion in Ophthalmology.2022; 33(5): 418.     CrossRef
Late eating, blood pressure control, and cardiometabolic risk factors among adults with hypertension: results from the Korea National Health and Nutrition Examination Survey 2010-2018
Jee-Seon Shim, Hyeon Chang Kim
Epidemiol Health. 2021;43:e2021101.   Published online November 24, 2021
DOI: https://doi.org/10.4178/epih.e2021101
  • 4,805 View
  • 129 Download
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
Despite growing concerns regarding the timing of eating, little is known about the association between late eating and health. This study aimed to investigate whether late eating is associated with blood pressure (BP) control and cardiometabolic risk factors among Korean adults with hypertension.
METHODS
Data from the Korea National Health and Nutrition Examination Survey 2010-2018 were used. Adults with hypertension aged 30-79 years (n=13,361) were included in this study. Dietary intake and information on meal timing were assessed using 1-day 24-hour recall. Late eating was defined as after the median midpoint between the times of the first and the last eating episode during the recall day. Logistic and linear regression models were used to estimate the associations of late eating with BP control and cardiometabolic risk factors.
RESULTS
Among late eaters, there were more men than women. Compared to early eaters, late eaters were younger, had a higher body mass index (BMI) and unhealthier habits, and their overall dietary quality score was lower. A negative association between late eating and BP control was found in a univariate model (odds ratio [OR], 0.82; 95% confidence interval [CI], 0.94 to 1.12), but this association disappeared after adjustment for confounders (OR, 1.03; 95% CI, 0.94 to 1.12). Late eating was independently associated with higher BMI (p=0.03) and blood triglyceride concentration (p<0.01).
CONCLUSIONS
Our results do not support a link between late eating and BP control among adults with hypertension, but suggest that late eating is associated with cardiometabolic risk factors.
Summary
Korean summary
식사시간이 건강에 미치는 영향에 대한 관심이 증가하고 있지만, 이에 대한 근거는 많지 않다. 이 연구는 국민건강영양조사 자료를 활용하여 고혈압이 있는 성인의 늦은 식사와 혈압 조절, 심장대사 위험인자의 연관성을 분석하였다. 늦은 식사와 혈압 조절의 독립적 연관성은 찾지 못했지만, 늦은 식사는 높은 체질량지수, 혈중 지질 농도와 연관성을 보여 식사 시간 조정이 고혈압 환자의 예후 개선을 위한 유용한 대책이 될 수 있으리라는 근거를 지지한다.
Key Message
This study investigated whether late eating is associated with blood pressure (BP) control and cardiometabolic risk factors among Korean adults with hypertension using data from the Korea National Health and Nutrition Examination Survey 2010–2018. We did not find an independent association between late eating and BP control among Korean adults with hypertension, but found that late eating was significantly associated with higher BMI and a higher blood concentration of triglycerides, independent of potential confounders. Our findings support the suggestion that a time-based dietary approach can be used as a useful strategy to improve the prognosis of adults with hypertension.
Effects of early medication treatment and metformin use for cancer prevention in diabetes patients: a nationwide sample cohort study in Korea using extended landmark time analysis
Hwa Jeong Seo, Hyun Sook Oh
Epidemiol Health. 2021;43:e2021103.   Published online December 17, 2021
DOI: https://doi.org/10.4178/epih.e2021103
  • 4,025 View
  • 150 Download
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
This study investigated the effectiveness of early medication treatment and metformin use for cancer prevention in type 2 diabetes patients.
METHODS
Population-based cohort data were used from the Korean National Health Insurance Service-National Sample Cohort database (KNHIS-NSC) for 2002-2013. Patient-specific medication prescription status was defined by the landmark time (LMT; a fixed time after cohort entry), considering both pre- and post-LMT prescriptions to control methodological biases in observational research. The LMT was set to 2 years. Logistic regression analysis with multivariable adjustment was conducted to analyze cancer incidence by patient-specific medication prescription status.
RESULTS
Only 33.4% of the subjects were prescribed medication early (before the LMT) with compliance. Cancer incidence in individuals with early prescription and compliance was 25% lower (odds ratio [OR], 0.75; 95% confidence interval [CI], 0.67 to 0.84) than in those without. As early-prescribed medications, metformin monotherapy and metformin combination therapy were associated with 34% (OR, 0.66; 95% CI, 0.51 to 0.83) and 25% (OR, 0.75; 95% CI, 0.64 to 0.88) lower cancer risk than non-use, respectively. Patients who were prescribed late (post-LMT) but did not comply with the prescription had a 24% (OR, 1.24; 95% CI, 0.97 to 1.58) higher cancer incidence than non-users. Among patients who started monotherapy early without changes throughout the entire follow-up period, those who started on metformin had a 37% (OR, 0.63; 95% CI, 0.41 to 0.99) lower risk of cancer than non-metformin users.
CONCLUSIONS
Doctors must prescribe antidiabetic medication early, and patient compliance is required, regardless of the prescription time, to prevent cancer. Metformin monotherapy or combination therapy is recommended as an early prescription.
Summary
Korean summary
당뇨 환자는 암 발병 위험이 높으며 암은 주요 사망 원인이다. 당뇨환자의 암발생 예방을 위한 관리로서, 당뇨병 진단 후 약물 치료 시기에 대한 연구는 부족하다. 또한, 전 세계적으로 가장 흔히 처방되는 당뇨병 치료제인 메트포민은 암 예방 효과가 있다고 알려져 왔으나 관측연구에서 발생하는 선택 편향의 문제가 제기되었고, 최근 일부 연구에서 기존의 암 예방 효과와 상충되는 결과가 나오고 있어 논쟁이 이어지고 있다. 본 연구는 선택 편향을 통제한 코호트 연구에서 조기 약물 치료와 메트포민 사용이 당뇨환자의 암 예방에 효과적임을 밝혔다. 따라서 의사들은 처음 당뇨 진단을 받은 환자에게 조기에 약물 처방을 하고, 환자들은 처방에 잘 따라야 한다. 조기 처방 약물로서 메트포민이 권장된다.
Key Message
Diabetic patients have a high risk of developing cancer, and cancer is the leading cause of death. There are few studies on the timing of medication treatment after diagnosis of diabetes. In addition, metformin, the most commonly prescribed diabetes treatment worldwide, is known to have cancer-preventive effects, but the problem of selection bias that occurs in observational studies has been raised, and some studies have recently been contradicting the existing cancer-preventing effects of metformin. This study, in a cohort study controlled for selection bias, demonstrated that early medication treatment and metformin use were effective in preventing cancer in diabetic patients.
Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand
Nayyereh Aminisani, Christine Stephens, Joanne Allen, Fiona Alpass, Seyed Morteza Shamshirgaran
Epidemiol Health. 2020;42:e2020001.   Published online December 27, 2019
DOI: https://doi.org/10.4178/epih.e2020001
  • 11,076 View
  • 293 Download
  • 13 Citations
AbstractAbstract PDFSupplementary Material
Abstract
OBJECTIVES
The incidence of multimorbidity (MM) and its correlates among older adults remain poorly understood. This study aimed to examine the socio-demographic and lifestyle factors associated with MM in New Zealand.
METHODS
People aged 55-70 years were invited to participate in a population-based cohort study, the Health Work and Retirement Study, in 2006. Those who accepted the invitation and completed the baseline questionnaire were followed up on a biennial basis. Data on socio-demographic factors, health and lifestyle behaviours, and diagnoses of chronic diseases were obtained from baseline and 6 waves of follow-up. Generalised estimating equations (GEE) adjusted for both time-constant and time-varying factors were used to model factors associated with the onset of MM.
RESULTS
A total of 1,673 participants (with 0 or 1 chronic condition) contributed to an overall 8,616 person-years of observation. There were 590 new cases of MM over 10 years of follow-up, corresponding to an overall incidence of 68.5 per 1,000 person-years. The results of the age- and sex-adjusted GEE analysis showed that age, ethnicity, living alone, obesity, hypertension, and having 1 chronic condition at baseline were significant predictors of MM onset. Higher education, income, physical activity, and regular alcohol consumption were protective factors. In a fully adjusted model, marital status (odds ratio [OR], 1.18; 95% confidence interval [CI], 1.01 to 1.37; p=0.039), hypertension (OR, 1.23; 95% CI, 1.02 to 1.48; p=0.032) and having 1 chronic condition at baseline (OR, 2.92; 95% CI, 2.33 to 3.67; p<0.001) remained significant.
CONCLUSIONS
The higher incidence of MM among Māori people, socioeconomically disadvantaged groups, those with low physical activity, and obese individuals highlights the importance of targeted prevention strategies.
Summary
Korean summary
Key Message

Citations

Citations to this article as recorded by  
  • Epidemiology and predictors of multimorbidity in Kharameh cohort study: A population‐based cross‐sectional study in southern Iran
    Leila Moftakhar, Ramin Rezaeianzadeh, Masoumeh Ghoddusi Johari, Seyed Vahid Hosseini, Abbas Rezaianzadeh
    Health Science Reports.2023;[Epub]     CrossRef
  • Overweight, obesity and risk of multimorbidity: A systematic review and meta‐analysis of longitudinal studies
    Felipe Mendes Delpino, Ana Paula dos Santos Rodrigues, Glenda Blaser Petarli, Karla Pereira Machado, Thaynã Ramos Flores, Sandro Rodrigues Batista, Bruno Pereira Nunes
    Obesity Reviews.2023;[Epub]     CrossRef
  • Predictors of health‐related quality of life in older New Zealanders with cardiovascular health problems
    Jed Montayre, Mu‐Hsing Ho, Hui‐Chen (Rita) Chang, Megan F. Liu, Chia‐Chi Chang, Ritin Fernandez
    Australasian Journal on Ageing.2022; 41(2): 274.     CrossRef
  • Physical Activity and Multimorbidity Among Community-Dwelling Older Adults: A Systematic Review With Meta-Analysis
    Felipe Mendes Delpino, Ana Paula Maciel de Lima, Bruna Gonçalves Cordeiro da Silva, Bruno Pereira Nunes, Eduardo Lucia Caputo, Renata Moraes Bielemann
    American Journal of Health Promotion.2022; 36(8): 1371.     CrossRef
  • Incidence and predictors of multimorbidity among older adults in Korea: a 10-year cohort study
    Tae Wha Lee, Jane Chung, Kijun Song, Eunkyung Kim
    BMC Geriatrics.2022;[Epub]     CrossRef
  • Examining the prevalence and correlates of multimorbidity among community-dwelling older adults: cross-sectional evidence from the Canadian Longitudinal Study on Aging (CLSA) first-follow-up data
    James H B Im, Rebecca Rodrigues, Kelly K Anderson, Piotr Wilk, Saverio Stranges, Kathryn Nicholson
    Age and Ageing.2022;[Epub]     CrossRef
  • Association between healthy lifestyle and the occurrence of cardiometabolic multimorbidity in hypertensive patients: a prospective cohort study of UK Biobank
    Hejian Xie, Jinchen Li, Xuanmeng Zhu, Jing Li, Jinghua Yin, Tianqi Ma, Yi Luo, Lingfang He, Yongping Bai, Guogang Zhang, Xunjie Cheng, Chuanchang Li
    Cardiovascular Diabetology.2022;[Epub]     CrossRef
  • A cross-sectional study investigating the relationship between handgrip strength with multimorbidity in Korean adults
    Mee-Ri Lee, Sung Min Jung
    Medicine.2021; 100(1): e23994.     CrossRef
  • The incidence of multimorbidity and patterns in accumulation of chronic conditions: A systematic review
    Prtha Kudesia, Banafsheh Salimarouny, Meagan Stanley, Martin Fortin, Moira Stewart, Amanda Terry, Bridget L Ryan
    Journal of Multimorbidity and Comorbidity.2021; 11: 263355652110328.     CrossRef
  • Prevalence of chronic conditions and multimorbidity in Estonia: a population-based cross-sectional study
    Mikk Jürisson, Heti Pisarev, Anneli Uusküla, Katrin Lang, M Oona, Ruth Kalda
    BMJ Open.2021; 11(10): e049045.     CrossRef
  • Prevalence of Multimorbidity among Asian Indian, Chinese, and Non-Hispanic White Adults in the United States
    Yifan Zhang, Ranjita Misra, Usha Sambamoorthi
    International Journal of Environmental Research and Public Health.2020; 17(9): 3336.     CrossRef

  • Lifestyle Behaviors and Socio-Demographic Factors Associated with Overweight or Obesity Among Saudi Females Attending Fitness Centers


    Abeer A AlTamimi, Nada M Albawardi, Mezna A AlMarzooqi, Mohanad Aljubairi, Hazzaa M Al-Hazzaa
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 2613.     CrossRef
  • Video Consultations for Older Adults With Multimorbidity During the COVID-19 Pandemic: Protocol for an Exploratory Qualitative Study
    Eng Sing Lee, Poay Sian Sabrina Lee, Evelyn Ai Ling Chew, Gayathri Muthulingam, Hui Li Koh, Shu Yun Tan, Yew Yoong Ding
    JMIR Research Protocols.2020; 9(10): e22679.     CrossRef
Geographical distribution of at fault drivers involved in fatal traffic collisions in Tehran, Iran
Amir Kavousi, Ali Moradi, Khaled Rahmani, Salahdin Zeini, Pegah Ameri
Epidemiol Health. 2020;42:e2020002.   Published online January 13, 2020
DOI: https://doi.org/10.4178/epih.e2020002
  • 8,673 View
  • 165 Download
  • 2 Citations
AbstractAbstract PDF
Abstract
OBJECTIVES
According to Traffic Police, about 35% of deaths and more than 50% of injuries caused by traffic collision in the roads of Tehran are among drivers and car occupants. This study was conducted to determine areas with the highest number of traffic collisions and perform spatial analysis of traffic collisions involving drivers in Tehran during April 2014 to March 2017.
METHODS
The present study was a cross-sectional and descriptive-analytic research. In this study, all traffic collision that driver was accounted (100 percent or less) for crash occurrence which resulted in the death of at least one person (driver, pedestrian or passenger) were included in the analyses. Geographic information system software was used to show spatial distribution of events from zoning maps. Moran index was used in the mathematical analysis in order to determine the distribution pattern of the events from and Getis-Ord G statistics was applied to analyze the hot spots (high risk points).
RESULTS
A total number of 519 traffic collisions were investigated in this study. Moreover, 283 cases (54.5%) of the incidents took place in direct routes and 236 cases (45.5%) occurred at intersections. The most frequent events were in the region 4 (57 cases) and the least frequent events were reported in the region 10 (6 cases). Moran statistics show that the distribution of the studied events significantly follows the cluster pattern (p<0.001).
CONCLUSIONS
The northeastern and northwest margins of Tehran are the most prone areas for drivers involved with traffic collisions leading to death. Most traffic collisions leading to death take place at highways located at the entrance and exit points of Tehran and highways in regions 2 and 5.
Summary
Korean summary
Key Message

Citations

Citations to this article as recorded by  
  • GIS-based risk mapping of cutaneous leishmaniasis: a survey in an endemic area of Central Iran
    Mohammad Reza Maracy, Fariba Jaffary, Afshin Ebrahimi, Fatemeh Sokhanvari, Asieh Heidari, Hanieh Sharifian-Koupaiee, Reza Fadaei, Javad Ramazanpour, Malihe Moazeni
    Environmental Science and Pollution Research.2021; 28(41): 57470.     CrossRef
  • Identifying and prioritizing risk factors involved in motorcyclists' traffic accidents in Tehran
    Ali Moradi, Amir Kavousi, Pegah Ameri, Mohyeddin Amjadian, MohammadHossein Vaziri
    Archives of Trauma Research.2021; 10(3): 153.     CrossRef
Systematic Review
Risk factors for stomach cancer: a systematic review and meta-analysis
Jalal Poorolajal, Leila Moradi, Younes Mohammadi, Zahra Cheraghi, Fatemeh Gohari-Ensaf
Epidemiol Health. 2020;42:e2020004.   Published online February 2, 2020
DOI: https://doi.org/10.4178/epih.e2020004
  • 20,351 View
  • 753 Download
  • 83 Citations
AbstractAbstract PDFSupplementary Material
Abstract
OBJECTIVES
This report provides information on 14 behavioral and nutritional factors that can be addressed in stomach cancer prevention programs.
METHODS
PubMed, Web of Science, and Scopus were searched through December 2018. Reference lists were also screened. Observational studies addressing the associations between stomach cancer and behavioral factors were analyzed. Between-study heterogeneity was investigated using the χ2, τ2, and I2 statistics. The likelihood of publication bias was explored using the Begg and Egger tests and trim-and-fill analysis. Effect sizes were expressed as odds ratios (ORs) with 95% confidence intervals (CIs) using a random-effects model.
RESULTS
Of 52,916 identified studies, 232 (including 33,831,063 participants) were eligible. The OR (95% CI) of factors associated with stomach cancer were as follows: Helicobacter pylori infection, 2.56 (95% CI, 2.18 to 3.00); current smoking, 1.61 (95% CI, 1.49 to 1.75); former smoking 1.43 (95% CI, 1.29 to 1.59); current drinking, 1.19 (95% CI, 1.10 to 1.29); former drinking, 1.73 (95% CI, 1.17 to 2.56); overweight/obesity, 0.89 (95% CI, 0.74 to 1.08); sufficient physical activity, 0.83 (95% CI, 0.68 to 1.02); consumption of fruits ≥3 times/wk, 0.48 (95% CI, 0.37 to 0.63); consumption of vegetables ≥3 times/wk, 0.62 (95% CI, 0.49 to 0.79); eating pickled vegetables, 1.28 (95% CI, 1.09 to 1.51); drinking black tea, 1.00 (95% CI, 0.84 to 1.20); drinking green tea, 0.88 (95% CI, 0.80 to 0.97); drinking coffee, 0.99 (95% CI, 0.88 to 1.11); eating fish ≥1 time/wk 0.79 (95% CI, 0.61 to 1.03); eating red meat ≥4 times/wk 1.31 (95% CI, 0.87 to 1.96), and high salt intake 3.78 (95% CI, 1.74 to 5.44) and 1.34 (95% CI, 0.88 to 2.03), based on two different studies.
CONCLUSIONS
This meta-analysis provided a clear picture of the behavioral and nutritional factors associated with the development of stomach cancer. These results may be utilized for ranking and prioritizing preventable risk factors to implement effective prevention programs.
Summary
Korean summary
Key Message

Citations

Citations to this article as recorded by  
  • Characteristics of gastric cancer around the world
    María J. López, Junior Carbajal, Alejandro L. Alfaro, Luis G. Saravia, Daniel Zanabria, Jhajaira M. Araujo, Lidia Quispe, Alejandra Zevallos, José L. Buleje, Cristina Eunbee Cho, Marisol Sarmiento, Joseph A. Pinto, Williams Fajardo
    Critical Reviews in Oncology/Hematology.2023; 181: 103841.     CrossRef
  • Association of Dietary Antioxidant Vitamin Intake and Gastric Cancer Risk According to Smoking Status and Histological Subtypes of Gastric Cancer: A Case-Control Study in Korea
    Shin Ah Kim, Jung Hyun Kwak, Chang Soo Eun, Dong Soo Han, Yong Sung Kim, Kyu Sang Song, Bo Youl Choi, Hyun Ja Kim
    Nutrition and Cancer.2023; 75(2): 652.     CrossRef
  • Cancer and brassinosteroids: Mechanisms of action, SAR and future perspectives
    Marcos Lorca, David Cabezas, Ileana Araque, Andrés Terán, Santiago Hernández, Marco Mellado, Luis Espinoza, Jaime Mella
    Steroids.2023; 190: 109153.     CrossRef
  • Risk factors for gastric cancer: A comprehensive analysis of observational studies
    Yuqing Hui, Chunyi Tu, Danlei Liu, Huijie Zhang, Xiaobing Gong
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • Smoking history and severe atrophic gastritis assessed by pepsinogen are risk factors for the prevalence of synchronous gastric cancers in patients with gastric endoscopic submucosal dissection: a multicenter prospective cohort study
    Waku Hatta, Tomoyuki Koike, Sho Asonuma, Hideki Okata, Kaname Uno, Tomoyuki Oikawa, Wataru Iwai, Makoto Yonechi, Daisuke Fukushi, Shoichi Kayaba, Ryosuke Kikuchi, Motoki Ohyauchi, Jun Fushiya, Ryuhei Maejima, Yasuhiko Abe, Masashi Kawamura, Junya Honda, Y
    Journal of Gastroenterology.2023;[Epub]     CrossRef
  • Association between soy products, fruits, vegetables, and dairy products and gastric cancer risk in Helicobacter pylori-infected subjects: a case-control study in Korea
    Jung Hyun Kwak, Chang Soo Eun, Dong Soo Han, Yong Sung Kim, Kyu Sang Song, Bo Youl Choi, Hyun Ja Kim
    Nutrition Research and Practice.2023; 17(1): 122.     CrossRef
  • Evaluation of polygenic risk score for risk prediction of gastric cancer
    Xiao-Yu Wang, Li-Li Wang, Lin Xu, Shu-Zhen Liang, Meng-Chao Yu, Qiu-Yue Zhang, Quan-Jiang Dong
    World Journal of Gastrointestinal Oncology.2023; 15(2): 276.     CrossRef
  • Mediating Role of Lifestyle Behaviors in the Association between Education and Cancer: Results from the European Prospective Investigation into Cancer and Nutrition
    Alessandra Macciotta, Alberto Catalano, Maria Teresa Giraudo, Elisabete Weiderpass, Pietro Ferrari, Heinz Freisling, Sandra M. Colorado-Yohar, Carmen Santiuste, Pilar Amiano, Alicia K. Heath, Heather A. Ward, Sofia Christakoudi, Paolo Vineis, Deependra Si
    Cancer Epidemiology, Biomarkers & Prevention.2023; 32(1): 132.     CrossRef
  • Food Environment Index is Inversely Associated with Gastric Cancer Incidence in the United States
    Shenghui Wu, Yanning Liu, Martie Thompson, Adam Hege
    Nutrition and Cancer.2023; : 1.     CrossRef
  • Willingness to Undergo Gastroscopy for Early Gastric Cancer Screening and Its Associated Factors During the COVID-19 Pandemic – A Nationwide Cross-Sectional Study in China
    Kejia Ma, Xuejie Chen, Xin Xiang, Xueyi Mao, Ningxin Zhu, Tianyu Wang, Shuyu Ye, Xiaoyan Wang, Minzi Deng
    Patient Preference and Adherence.2023; Volume 17: 505.     CrossRef
  • Constructing a novel mitochondrial-related gene signature for evaluating the tumor immune microenvironment and predicting survival in stomach adenocarcinoma
    Jingjia Chang, Hao Wu, Jin Wu, Ming Liu, Wentao Zhang, Yanfen Hu, Xintong Zhang, Jing Xu, Li Li, Pengfei Yu, Jianjun Zhu
    Journal of Translational Medicine.2023;[Epub]     CrossRef
  • Decreased expression of TRIM3 gene predicts a poor prognosis in gastric cancer
    Javad Farhadi, Ladan Goshayeshi, Alireza Motavalizadehkakhky, Jamshid Mehrzad, Hassan Mehrad-Majd
    Journal of Gastrointestinal Cancer.2022; 53(1): 179.     CrossRef
  • Association between the Persistence of Obesity and the Risk of Gastric Cancer: A Nationwide Population-Based Study
    Joo Hyun Lim, Cheol Min Shin, Kyung-Do Han, Seung Woo Lee, Eun Hyo Jin, Yoon Jin Choi, Hyuk Yoon, Young Soo Park, Nayoung Kim, Dong Ho Lee
    Cancer Research and Treatment.2022; 54(1): 199.     CrossRef
  • Decisional balance, self-leadership, self-efficacy, planning, and stages of change in adopting exercise behaviors in patients with stomach cancer: A cross-sectional study
    Myung Kyung Lee
    European Journal of Oncology Nursing.2022; 56: 102086.     CrossRef
  • Epidemiology of Helicobacter pylori
    Amnon Sonnenberg
    Alimentary Pharmacology & Therapeutics.2022;[Epub]     CrossRef
  • Functional polysaccharide lentinan: Role in anti-cancer therapies and management of carcinomas
    Sagar Trivedi, Krishna Patel, Veena Belgamwar, Kamlesh Wadher
    Pharmacological Research - Modern Chinese Medicine.2022; 2: 100045.     CrossRef
  • Ultrasound Image-Guided Nerve Block Combined with General Anesthesia under an Artificial Intelligence Algorithm on Patients Undergoing Radical Gastrectomy for Gastric Cancer during and after Operation
    Wanqiu Fan, Liuyingzi Yang, Jing Li, Biqian Dong, Osamah Ibrahim Khalaf
    Computational and Mathematical Methods in Medicine.2022; 2022: 1.     CrossRef
  • The impact of excessive salt intake on human health
    Robert W. Hunter, Neeraj Dhaun, Matthew A. Bailey
    Nature Reviews Nephrology.2022; 18(5): 321.     CrossRef
  • Gastric epithelial histology and precancerous conditions
    Hang Yang, Wen-Juan Yang, Bing Hu
    World Journal of Gastrointestinal Oncology.2022; 14(2): 396.     CrossRef
  • ELP6 and PLIN5 Mutations Were Probably Prognostic Biomarkers for Patients With Gastric Cancer
    Ji Di, Yan Chai, Xin Yang, Haibin Dong, Bo Jiang, Faxiang Ji
    Frontiers in Medicine.2022;[Epub]     CrossRef
  • Involvement of microRNA modifications in anticancer effects of major polyphenols from green tea, coffee, wine, and curry
    Tomokazu Ohishi, Sumio Hayakawa, Noriyuki Miyoshi
    Critical Reviews in Food Science and Nutrition.2022; : 1.     CrossRef
  • H. pylori Infection and Virulence Factors cagA and vacA (s and m Regions) in Gastric Adenocarcinoma from Pará State, Brazil
    Igor Brasil-Costa, Cintya de Oliveira Souza, Leni Célia Reis Monteiro, Maria Elisabete Silva Santos, Edivaldo Herculano Correa De Oliveira, Rommel Mario Rodriguez Burbano
    Pathogens.2022; 11(4): 414.     CrossRef
  • Investigating the Prognostic Significance of Pyroptosis-Related Genes in Gastric Cancer and Their Impact on Cells’ Biological Functions
    Jie Yin, Gang Che, Wankun Wang, Shitu Chen, Jian Liu
    Frontiers in Oncology.2022;[Epub]     CrossRef
  • Epidemiology of stomach cancer
    Milena Ilic, Irena Ilic
    World Journal of Gastroenterology.2022; 28(12): 1187.     CrossRef
  • Effect of Apatinib Combined with Seggio on the Expression of Serum AFP and CA724 and Long-Term Survival Rate in Patients with Advanced Gastric Cancer Undergoing Comfortable Nursing Intervention
    Dawei Ren, Mi Feng, Shengmin Zhang, Yun Zhang, Ji Li, Suneet Kumar Gupta
    Journal of Healthcare Engineering.2022; 2022: 1.     CrossRef
  • Parent Fruit and Vegetable Consumption Outcomes from the Translational ‘Time for Healthy Habits’ Trial: Secondary Outcomes from a Partially Randomized Preference Trial
    Rebecca J. Wyse, Jacklyn K. Jackson, Megan L. Hammersley, Fiona Stacey, Rachel A. Jones, Anthony Okely, Amanda Green, Sze Lin Yoong, Christophe Lecathelinais, Christine Innes-Hughes, Joe Xu, Karen Gillham, Chris Rissel
    International Journal of Environmental Research and Public Health.2022; 19(10): 6165.     CrossRef
  • Tea consumption and gastric cancer: a pooled analysis from the Stomach cancer Pooling (StoP) Project consortium
    Georgia Martimianaki, Gianfranco Alicandro, Claudio Pelucchi, Rossella Bonzi, Matteo Rota, Jinfu Hu, Kenneth C. Johnson, Charles S. Rabkin, Linda M. Liao, Rashmi Sinha, Zuo-Feng Zhang, Michela Dalmartello, Nuno Lunet, Samantha Morais, Domenico Palli, Moni
    British Journal of Cancer.2022; 127(4): 726.     CrossRef
  • Sex and gender disparities in patients with advanced gastroesophageal adenocarcinoma: data from the AGAMENON-SEOM registry
    J. Gallego Plazas, A. Arias-Martinez, A. Lecumberri, E. Martínez de Castro, A. Custodio, J.M. Cano, R. Hernandez, A.F. Montes, I. Macias, A. Pieras-Lopez, M. Diez, L. Visa, R.V. Tocino, N. Martínez Lago, M.L. Limón, M. Gil, P. Pimentel, M. Mangas, M. Gran
    ESMO Open.2022; 7(3): 100514.     CrossRef
  • Vitamin D—The Nutritional Status of Post-Gastrectomy Gastric Cancer Patients—Systematic Review
    Tomasz Muszyński, Karina Polak, Aleksandra Frątczak, Bartosz Miziołek, Beata Bergler-Czop, Antoni Szczepanik
    Nutrients.2022; 14(13): 2712.     CrossRef
  • Serum Pepsinogen as a Biomarker for Gastric Cancer in the United States: A Nested Case–Control Study Using the PLCO Cancer Screening Trial Data
    Haejin In, Srawani Sarkar, Jessica Ward, Patricia Friedmann, Michael Parides, Julie Yang, Meira Epplein
    Cancer Epidemiology, Biomarkers & Prevention.2022; 31(7): 1426.     CrossRef
  • A prospective cohort study on the association between waterpipe tobacco smoking and gastric cancer mortality in Northern Vietnam
    Hung Xuan Le, Dung Thi Thuy Truong, Long Bao Tran, Phuoc Hong Le, Binh Uyen Duong Pham, Koji Wada, Shunya Ikeda, Ariuntuul Garidkhuu, Can Van Phan, Ngoan Tran Le
    BMC Cancer.2022;[Epub]     CrossRef
  • Microbiota and the Immune System—Actors in the Gastric Cancer Story
    Marek Majewski, Paulina Mertowska, Sebastian Mertowski, Konrad Smolak, Ewelina Grywalska, Kamil Torres
    Cancers.2022; 14(15): 3832.     CrossRef
  • Benefit-to-harm ratio and cost-effectiveness of government-recommended gastric cancer screening in China: A modeling study
    Shuxia Qin, Xuehong Wang, Sini Li, Chongqing Tan, Xiaohui Zeng, Meiyu Wu, Ye Peng, Liting Wang, Xiaomin Wan
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Machine learning: A non-invasive prediction method for gastric cancer based on a survey of lifestyle behaviors
    Siqing Jiang, Haojun Gao, Jiajin He, Jiaqi Shi, Yuling Tong, Jian Wu
    Frontiers in Artificial Intelligence.2022;[Epub]     CrossRef
  • Effects of the Wnt/β-Catenin Signaling Pathway on Proliferation and Apoptosis of Gastric Cancer Cells
    Jia Chen, Xingyu Wang, Jianlin Zhang, Jiawei Chang, Chuanjun Han, Zhouwei Xu, Hongzhu Yu, Yuvaraja Teekaraman
    Contrast Media & Molecular Imaging.2022; 2022: 1.     CrossRef
  • Microbial Proteins in Stomach Biopsies Associated with Gastritis, Ulcer, and Gastric Cancer
    Shahid Aziz, Faisal Rasheed, Tayyab Saeed Akhter, Rabaab Zahra, Simone König
    Molecules.2022; 27(17): 5410.     CrossRef
  • The role of bariatric and metabolic surgery in the development, diagnosis, and treatment of endometrial cancer
    Robert C. Ross, Yetunde M. Akinde, Philip R. Schauer, Carel W. le Roux, Donal Brennan, Amelia M. Jernigan, Marco Bueter, Vance L. Albaugh
    Frontiers in Surgery.2022;[Epub]     CrossRef
  • A prognostic signature of pyroptosis-related lncRNAs verified in gastric cancer samples to predict the immunotherapy and chemotherapy drug sensitivity
    Yanan Wang, Xiaowei Chen, Fei Jiang, Yan Shen, Fujin Fang, Qiong Li, Chuanli Yang, Yu Dong, Xiaobing Shen
    Frontiers in Genetics.2022;[Epub]     CrossRef
  • Prediction of gastric cancer risk by a polygenic risk score of Helicobacter pylori
    Xiao-Yu Wang, Li-Li Wang, Shu-Zhen Liang, Chao Yang, Lin Xu, Meng-Chao Yu, Yi-Xuan Wang, Quan-Jiang Dong
    World Journal of Gastrointestinal Oncology.2022; 14(9): 1844.     CrossRef
  • The origin of gastric cancer stem cells and their effects on gastric cancer: Novel therapeutic targets for gastric cancer
    Ying Yang, Wen-Jian Meng, Zi-Qiang Wang
    Frontiers in Oncology.2022;[Epub]     CrossRef
  • Analysis of the Preventive Action of Rivaroxaban against Lower Extremity Deep Venous Thrombosis in Patients after Laparoscopic Radical Gastrectomy
    Qinhui Dong, Xiayin Zhu, Yafen Gao, Zhengrong Wang, Dexing Zheng, Jian Zhu, Pan Zheng
    Computational and Mathematical Methods in Medicine.2022; 2022: 1.     CrossRef
  • LASTR is a novel prognostic biomarker and predicts response to cancer immunotherapy in gastric cancer
    Jun-Yan Liu, Jing Yao, Jia-Jia Liu, Tao He, Fang-Jie Wang, Tian-Yu Xie, Jian-Xin Cui, Xiao-Dong Yang
    Frontiers in Oncology.2022;[Epub]     CrossRef
  • Diet and carcinogenesis of gastric cancer
    Gautam Maddineni, Jesse J. Xie, Bhaumik Brahmbhatt, Pritesh Mutha
    Current Opinion in Gastroenterology.2022; 38(6): 588.     CrossRef
  • The stomach cancer prognosis map is the basis for the formation of a register of patients with precancerous diseases
    A. Yu. Baranovsky, T. L. Tsvetkova
    Experimental and Clinical Gastroenterology.2022; (9): 39.     CrossRef
  • A Survey on the Actual Use of and Reasons for Heated Tobacco Products in Patients with Rheumatoid Arthritis
    Hisaaki Isaji, Kiyofumi Yamada
    International Journal of Environmental Research and Public Health.2022; 19(19): 12465.     CrossRef
  • Prevalence of Her2-neu status and its clinicopathological association in newly diagnosed gastric cancer patients
    Joseph Kattan, Fady el Karak, Fadi Farhat, Dany Abi Gerges, Walid Mokaddem, Georges Chahine, Saad Khairallah, Najla Fakhruddin, Jawad Makarem, Fadi Nasr
    BMC Cancer.2022;[Epub]     CrossRef
  • Topical issues of prevention of stomach cancer: A review
    Yury P. Uspenskiy, Natalia V. Baryshnikova, Alexey A. Krasnov, Sergey V. Petlenko, Vera A. Apryatina
    Consilium Medicum.2022; 24(5): 358.     CrossRef
  • Helicobacter pylori-Positive Gastric Biopsies—Association with Clinical Predictors
    Anca Negovan, Andreea-Raluca Szőke, Simona Mocan, Claudia Bănescu
    Life.2022; 12(11): 1789.     CrossRef
  • Meat Intake, Cooking Methods, Doneness Preferences and Risk of Gastric Adenocarcinoma in the MCC-Spain Study
    Elena Boldo, Nerea Fernández de Larrea, Marina Pollán, Vicente Martín, Mireia Obón-Santacana, Marcela Guevara, Gemma Castaño-Vinyals, Jose María Canga, Beatriz Pérez-Gómez, Inés Gómez-Acebo, Guillermo Fernández-Tardón, Mercedes Vanaclocha-Espi, Rocío Olme
    Nutrients.2022; 14(22): 4852.     CrossRef
  • The Regulatory Network of Gastric Cancer Pathogenesis and Its Potential Therapeutic Active Ingredients of Traditional Chinese Medicine Based on Bioinformatics, Molecular Docking, and Molecular Dynamics Simulation
    Peng Yang, Peng Liu, Junmao Li, Mohammad Jahoor Alam
    Evidence-Based Complementary and Alternative Medicine.2022; 2022: 1.     CrossRef
  • IL-17 Receptor Signaling through IL-17A or IL-17F Is Sufficient to Maintain Innate Response and Control of Helicobacter pylori Immunopathogenesis
    Beverly R. E. A. Dixon, Tiffany J. Lee, Diana C. Contreras Healey, Jing Li, Jeremy A. Goettel, M. Blanca Piazuelo, Holly M. Scott Algood
    ImmunoHorizons.2022; 6(2): 116.     CrossRef
  • Hydrogen inhibits the proliferation and migration of gastric cancer cells by modulating lncRNA MALAT1/miR-124-3p/EZH2 axis
    Baocheng Zhu, Hengguan Cui, Weiqiang Xu
    Cancer Cell International.2021;[Epub]     CrossRef
  • Diet and cancer of the esophagus and stomach
    Shu Wen Tay, James Weiquan Li, Kwong Ming Fock
    Current Opinion in Gastroenterology.2021; 37(2): 158.     CrossRef
  • Gastric Cancer Risk Prediction Using an Epidemiological Risk Assessment Model and Polygenic Risk Score
    Boyoung Park, Sarah Yang, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim
    Cancers.2021; 13(4): 876.     CrossRef
  • Transcriptome Analysis of Subcutaneous Adipose Tissue from Severely Obese Patients Highlights Deregulation Profiles in Coding and Non-Coding Oncogenes
    Federica Rey, Letizia Messa, Cecilia Pandini, Rossella Launi, Bianca Barzaghini, Giancarlo Micheletto, Manuela Teresa Raimondi, Simona Bertoli, Cristina Cereda, Gian Vincenzo Zuccotti, Raffaella Cancello, Stephana Carelli
    International Journal of Molecular Sciences.2021; 22(4): 1989.     CrossRef
  • Risk of gastric cancer in the environs of industrial facilities in the MCC-Spain study
    Javier García-Pérez, Virginia Lope, Nerea Fernández de Larrea-Baz, Antonio J. Molina, Adonina Tardón, Juan Alguacil, Beatriz Pérez-Gómez, Víctor Moreno, Marcela Guevara, Gemma Castaño-Vinyals, José J. Jiménez-Moleón, Inés Gómez-Acebo, Ana Molina-Barceló,
    Environmental Pollution.2021; 278: 116854.     CrossRef
  • Factors Related to Lacking Knowledge on the Recommended Daily Salt Intake among Medical Professionals in Mongolia: A Cross-Sectional Study
    Naoko Hikita, Enkhtungalag Batsaikhan, Satoshi Sasaki, Megumi Haruna, Ariunaa Yura, Otgontogoo Oidovsuren
    International Journal of Environmental Research and Public Health.2021; 18(8): 3850.     CrossRef
  • A Physically Active Status Affects the Circulating Profile of Cancer-Associated miRNAs
    Martina Faraldi, Laura Gerosa, Marta Gomarasca, Veronica Sansoni, Silvia Perego, Ewa Ziemann, Giuseppe Banfi, Giovanni Lombardi
    Diagnostics.2021; 11(5): 820.     CrossRef
  • Association between obesity and the risk of gastric cancer in premenopausal and postmenopausal women: A nationwide cohort study
    In Young Choi, Yoon Jin Choi, Dong Wook Shin, Kyung Do Han, Keun Hye Jeon, Su‐Min Jeong, Jung Eun Yoo
    Journal of Gastroenterology and Hepatology.2021; 36(10): 2834.     CrossRef
  • Dose–Effect Relationship Between Gastric Cancer and Common Digestive Tract Symptoms and Diagnoses in Anhui, China
    Mengsha Tang, Xingrong Shen, Jing Chai, Jing Cheng, Debin Wang
    Cancer Management and Research.2021; Volume 13: 4955.     CrossRef
  • Metaplot: A new Stata module for assessing heterogeneity in a meta-analysis
    Jalal Poorolajal, Shahla Noornejad, Mohammad Asghari Jafarabadi
    PLOS ONE.2021; 16(6): e0253341.     CrossRef
  • NF-κB in Gastric Cancer Development and Therapy
    Supattra Chaithongyot, Phatcharida Jantaree, Olga Sokolova, Michael Naumann
    Biomedicines.2021; 9(8): 870.     CrossRef
  • Does coffee, tea and caffeine consumption reduce the risk of incident breast cancer? A systematic review and network meta-analysis
    Shu Wang, Xiang Li, Yue Yang, Jingping Xie, Mingyue Liu, Ya Zhang, Yingshi Zhang, Qingchun Zhao
    Public Health Nutrition.2021; 24(18): 6377.     CrossRef
  • Risk factors for gastric cancer: a large-scale, population-based case-control study
    Rui Zhang, He Li, Ni Li, Ju-Fang Shi, Jiang Li, Hong-Da Chen, Yi-Wen Yu, Chao Qin, Jian-Song Ren, Wan-Qing Chen, Jie He
    Chinese Medical Journal.2021; 134(16): 1952.     CrossRef
  • Gastric cancer mortality related to direct radiographic and endoscopic screening: A retrospective study
    Hiroaki Hagiwara, Fumitaka Moki, Yukiko Yamashita, Kazuki Saji, Keigo Iesaki, Hiromitsu Suda
    World Journal of Gastroenterology.2021; 27(33): 5595.     CrossRef
  • Factores de riesgo para cáncer gástrico: ¿cuál es su papel?
    Ricardo Oliveros Wilches, Helena Facundo Navia, Ana Deise Bonilla Castañeda, Raúl Eduardo Pinilla Morales
    Revista colombiana de Gastroenterología.2021; 36(3): 366.     CrossRef
  • Development and External Validation of a Nomogram for Predicting Overall Survival in Stomach Cancer: A Population-Based Study
    Haonan Ji, Huita Wu, Yu Du, Li Xiao, Yiqin Zhang, Qiuhua Zhang, Xin Wang, Wenfeng Wang, Nahrizul Adib Kadri
    Journal of Healthcare Engineering.2021; 2021: 1.     CrossRef
  • Fruit consumption and multiple health outcomes: An umbrella review
    Liuqiao Sun, Xiaoping Liang, Yaoyao Wang, Sui Zhu, Qian Ou, Hang Xu, Fangyuan Li, Xuying Tan, Zhiwei Lai, Liuzhen Pu, Xingyi Chen, Jun Wei, Feng Wu, Huilian Zhu, Lijun Wang
    Trends in Food Science & Technology.2021; 118: 505.     CrossRef
  • Testing and Treating Helicobacter pylori Infection in Individuals With Family History of Gastric Cancer is Cost-effective
    Sheila D. Rustgi, Aaron Oh, Chin Hur
    Gastroenterology.2021; 161(6): 2051.     CrossRef
  • Factors for the Primary Prevention of Breast Cancer: A Meta-Analysis of Prospective Cohort Studies
    Jalal Poorolajal, Fatemeh Heidarimoghis, Manoochehr Karami, Zahra Cheraghi, Fatemeh Gohari-Ensaf, Fatemeh Shahbazi, Bushra Zareie, Pegah Ameri, Fatemeh Sahraei
    Journal of Research in Health Sciences.2021; 21(3): e00520.     CrossRef
  • Risk Prediction for Gastric Cancer Using GWAS-Identifie Polymorphisms, Helicobacter pylori Infection and Lifestyle-Related Risk Factors in a Japanese Population
    Naoyo Ishikura, Hidemi Ito, Isao Oze, Yuriko N. Koyanagi, Yumiko Kasugai, Yukari Taniyama, Yukino Kawakatsu, Tsutomu Tanaka, Seiji Ito, Masahiro Tajika, Yasuhiro Shimizu, Yasumasa Niwa, Keitaro Matsuo
    Cancers.2021; 13(21): 5525.     CrossRef
  • Long noncoding RNA NR2F1-AS1 plays a carcinogenic role in gastric cancer by recruiting transcriptional factor SPI1 to upregulate ST8SIA1 expression
    Fang Zuo, Yong Zhang, Jianting Li, Shaoxiang Yang, Xiaolu Chen
    Bioengineered.2021; 12(2): 12345.     CrossRef
  • Histórico familiar de câncer gástrico em pacientes dispépticos indicados à triagem endoscópica
    Maria Carolina Pereira Rodrigues, Victor Pereira Lima, Flavia Ferreira Monari, Roberta de Araújo e Silva, Liana Mara Rocha Teles, Eveline Pinheiro Beserra, Maria Alzete de Lima, Maria Aparecida Alves de Oliveira Serra
    Acta Paulista de Enfermagem.2021;[Epub]     CrossRef
  • Contributing factors common to COVID‑19 and gastrointestinal cancer
    Ronald Kostoff, Michael Briggs, Darja Kanduc, Darla Shores, Leda Kovatsi, Nikolaos Drakoulis, Alan Porter, Aristidis Tsatsakis, Demetrios Spandidos
    Oncology Reports.2021;[Epub]     CrossRef
  • Perfil de citocinas Th1, Th2, Th17 y otras citocinas pro inflamatorias (IL-1β, IL-6 y TNFα) en el plasma de pacientes con cáncer gástrico
    Carmen Villagran, Rafael Fernández-Botrán, Elisa Hernandez, Federico Nave, Irmgardt A. Wellmann, Jose F. Muñoz-Valle
    Ciencia, Tecnologí­a y Salud.2021; 8(2): 166.     CrossRef
  • SOLUBLE FORMS OF PD-1 AND PD-L1 IN BLOOD PLASMA OF GASTRIC CANCER PATIENTS AND THEIR ASSOCIATIONS WITH CLINICAL AND MORPHOLOGICAL CHARACTERISTICS OF THE DISEASE
    E. S. Gershtein, N. A. Ognerubov, V. L. Chang, V. V. Delektorskaya, E. A. Korotkova, N. Yu. Sokolov, S. B. Polikarpova, I. S. Stilidi, Nikolay Evgenievich Kushlinskii
    Russian Clinical Laboratory Diagnostics.2020; 65(6): 347.     CrossRef
  • Gastric carcinoma: Insights into risk factors, methods of diagnosis, possible lines of management, and the role of primary care
    AliyahM Marghalani, ThekraO Bin Salman, FawazJ Faqeeh, MohammedK Asiri, AhmedM Kabel
    Journal of Family Medicine and Primary Care.2020; 9(6): 2659.     CrossRef
  • Progress in cancer mortality, incidence, and survival: a global overview
    Claudia Santucci, Greta Carioli, Paola Bertuccio, Matteo Malvezzi, Ugo Pastorino, Paolo Boffetta, Eva Negri, Cristina Bosetti, Carlo La Vecchia
    European Journal of Cancer Prevention.2020; 29(5): 367.     CrossRef
  • Pathways of Gastric Carcinogenesis, Helicobacter pylori Virulence and Interactions with Antioxidant Systems, Vitamin C and Phytochemicals
    James W. T. Toh, Robert B. Wilson
    International Journal of Molecular Sciences.2020; 21(17): 6451.     CrossRef
  • Alterations in Gastric Microbial Communities Are Associated with Risk of Gastric Cancer in a Korean Population: A Case-Control Study
    Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jaekyung Yoon, Woo Jun Sul, Jihyun F. Kim, Jeongseon Kim
    Cancers.2020; 12(9): 2619.     CrossRef
  • Identification of Key Genes in Gastric Cancer by Bioinformatics Analysis
    Xinyu Chong, Rui Peng, Yan Sun, Luyu Zhang, Zheng Zhang
    BioMed Research International.2020; 2020: 1.     CrossRef
  • Anti-Cancer Effects of Green Tea Epigallocatchin-3-Gallate and Coffee Chlorogenic Acid
    Sumio Hayakawa, Tomokazu Ohishi, Noriyuki Miyoshi, Yumiko Oishi, Yoriyuki Nakamura, Mamoru Isemura
    Molecules.2020; 25(19): 4553.     CrossRef
  • Bioinformatics Analysis Reveals an Association Between Cancer Cell Stemness, Gene Mutations, and the Immune Microenvironment in Stomach Adenocarcinoma
    Zaisheng Ye, Miao Zheng, Yi Zeng, Shenghong Wei, Yi Wang, Zhitao Lin, Chen Shu, Yunqing Xie, Qiuhong Zheng, Luchuan Chen
    Frontiers in Genetics.2020;[Epub]     CrossRef
COVID-19: Special Article
Epidemiologic characteristics of early cases with 2019 novel coronavirus (2019-nCoV) disease in Korea
Moran Ki
Epidemiol Health. 2020;42:e2020007.   Published online February 9, 2020
DOI: https://doi.org/10.4178/epih.e2020007
  • 47,707 View
  • 4,423 Download
  • 138 Citations
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
In about 20 days since the diagnosis of the first case of the 2019 novel coronavirus (2019-nCoV) in Korea on January 20, 2020, 28 cases have been confirmed. Fifteen patients (53.6%) of them were male and median age of was 42 years (range, 20-73). Of the confirmed cases, 16, 9, and 3 were index (57.2%), first-generation (32.1%), and second-generation (10.7%) cases, respectively. All first-generation and second-generation patients were family members or intimate acquaintances of the index cases with close contacts. Fifteen among 16 index patients had entered Korea from January 19 to 24, 2020 while 1 patient had entered Korea on January 31, 2020. The average incubation period was 3.9 days (median, 3.0), and the reproduction number was estimated as 0.48. Three of the confirmed patients were asymptomatic when they were diagnosed. Epidemiological indicators will be revised with the availability of additional data in the future. Sharing epidemiological information among researchers worldwide is essential for efficient preparation and response in tackling this new infectious disease.
Summary
Korean summary
2020년 1월 20일 한국의 신종코로나바이러스 감염자가 확진된 이후 약 20일만에 28명이 확진되었다. 확진자중 지표환자가 16명(57.2%), 1세대환자 9명(32.1%), 2세대환자가 3명(10.7%)이다. 지표환자 16명중 15명은 1월 19일-24일에, 1명은 1월 31일에 국내에 입국하였다. 환자들의 잠복기는 평균 3.9일 (중위값 3일), 감염재생산수(R)는 0.48로 추정되었다. 확진자 중 3명은 증상이 없는 상태에서 확진이 되었다. 향후 새로운 정보가 나오면 역학 지표들이 수정될 것이다.
Key Message

Citations

Citations to this article as recorded by  
  • Combating the Progression of Novel Coronavirus SARS-CoV-2 Infectious Disease: Current State and Future Prospects in Molecular Diagnostics and Drug Discovery
    Arbind Kumar, Aashish Sharma, Narendra Vijay Tirpude, Sharad Thakur, Sanjay Kumar
    Current Molecular Medicine.2023; 23(2): 127.     CrossRef
  • Modeling the impact of combined use of COVID Alert SA app and vaccination to curb COVID-19 infections in South Africa
    Musyoka Kinyili, Justin B. Munyakazi, Abdulaziz Y. A. Mukhtar, Jun Tanimoto
    PLOS ONE.2023; 18(2): e0264863.     CrossRef
  • Asthma and risk of infection, hospitalization, ICU admission and mortality from COVID-19: Systematic review and meta-analysis
    Anthony P. Sunjaya, Sabine M. Allida, Gian Luca Di Tanna, Christine Jenkins
    Journal of Asthma.2022; 59(5): 866.     CrossRef
  • Incubation period for COVID-19: a systematic review and meta-analysis
    Balram Rai, Anandi Shukla, Laxmi Kant Dwivedi
    Journal of Public Health.2022; 30(11): 2649.     CrossRef
  • Serial Intervals and Case Isolation Delays for Coronavirus Disease 2019: A Systematic Review and Meta-Analysis
    Sheikh Taslim Ali, Amy Yeung, Songwei Shan, Lin Wang, Huizhi Gao, Zhanwei Du, Xiao-Ke Xu, Peng Wu, Eric H Y Lau, Benjamin J Cowling
    Clinical Infectious Diseases.2022; 74(4): 685.     CrossRef
  • An interaction Neyman–Scott point process model for coronavirus disease-19
    Jaewoo Park, Won Chang, Boseung Choi
    Spatial Statistics.2022; 47: 100561.     CrossRef
  • SARS, MERS and CoVID-19: An overview and comparison of clinical, laboratory and radiological features
    Manas Pustake, Isha Tambolkar, Purushottam Giri, Charmi Gandhi
    Journal of Family Medicine and Primary Care.2022; 11(1): 10.     CrossRef
  • Forecasting COVID-19 cases by assessing control-intervention effects in Republic of Korea: A statistical modeling approach
    Hyojung Lee, Geunsoo Jang, Giphil Cho
    Alexandria Engineering Journal.2022; 61(11): 9203.     CrossRef
  • Linking genomic and epidemiologic information to advance the study of COVID-19
    Yiwei Wang, Jiaxin Yang, Xinhao Zhuang, Yunchao Ling, Ruifang Cao, Qingwei Xu, Peng Wang, Ping Xu, Guoqing Zhang
    Scientific Data.2022;[Epub]     CrossRef
  • COVID-19 outbreak and risk factors for infection in a taekwondo gym in the Republic of Korea
    Seung Hwan Shin, Eonjoo Park, Sookhyun Kim, Minji Jang, Subin Park, Dong-Hwi Kim, Tae Jong Son, Ji-Hyuk Park
    Osong Public Health and Research Perspectives.2022; 13(2): 162.     CrossRef
  • Reinfection by SARS CoV2 in Valle Del Cauca, Colombia: A Descriptive Retrospective Study
    Isabel Cristina Hurtado, Juan Sebastián Hurtado, Sandra Lizeth Valencia, Elisa María Pinzón, Ana Roció Guzmán, María Cristina Lesmes
    INQUIRY: The Journal of Health Care Organization, Provision, and Financing.2022; 59: 004695802210965.     CrossRef
  • Predicting Anxiety and Depression Among Patients With COVID-19 in Concentrated Isolation at Medical Camps in Vietnam: A Descriptive Cross-Sectional Study
    Vu Thi Thu Trang, Khoa Le Anh Huynh, Huyen Thi Truong, Hue Thi Nguyen, Giang Truong Hoang, Dat Quang Dao, Ut Van Vu, Zair Hassan, My Ngoc Ha Nguyen, Le Van Truong
    Frontiers in Psychiatry.2022;[Epub]     CrossRef
  • Evaluation of clinical, epidemiological and paraclinical characteristics of patients diagnosed with COVID-19 and its relationship with disease severity in Amir Al-Momenin Hospital in Tehran
    Masoumeh Mesgarian, Termeh Tarjoman, Masuod Karimloo, Mahnaz Valizadeh, Zahra Hanifezadeh, Omid Ameli, Mohsen Alijani, Behnam Farhoodi, Mehrangiz Zangeneh
    MEDICAL SCIENCES JOURNAL.2022; 32(1): 64.     CrossRef
  • Mathematical modeling of the impact of Omicron variant on the COVID-19 situation in South Korea
    Jooha Oh, Catherine Apio, Taesung Park
    Genomics & Informatics.2022; 20(2): e22.     CrossRef
  • Do the Self-Reported Changes in Physical Activity After the Emergence of the COVID-19 Pandemic Associate With Major Depression According to Moderate to Vigorous Physical Activity Status?
    Jeong Hyun Ahn, Jin Young Nam
    Journal of Physical Activity and Health.2022; 19(7): 518.     CrossRef
  • Development of Lateral Flow Immunochromatographic Test for Rapid Detection of SARS-CoV-2 Virus Antigens in Clinical Specimens
    Rafik Hamed Sayed, Mohamed Samy Abousenna, Shaimaa Abdelall Elsaady, Rafik Soliman, Mohamed Ahmed Saad
    Nanomaterials.2022; 12(14): 2477.     CrossRef
  • Incubation period of wild type of SARS-CoV-2 infections by age, gender, and epidemic periods
    Chiara Achangwa, Huikyung Park, Sukhyun Ryu
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • A Multiscale Model of COVID-19 Dynamics
    Xueying Wang, Sunpeng Wang, Jin Wang, Libin Rong
    Bulletin of Mathematical Biology.2022;[Epub]     CrossRef
  • An update of serial interval estimates for COVID-19: a meta-analysis
    Jean-François Jusot
    4open.2022; 5: 16.     CrossRef
  • Seroprevalence of SARS-CoV-2 antibodies in the community based on participants in the 2020 Korea National Health and Nutrition Examination Survey
    Ah-Ra Kim, Dohsik Minn, Su Hwan Kim, Hyeon Nam Do, Byoungguk Kim, Young Sill Choi, Dong-Hyun Kim, Eun-Jee Oh, Kyungwon Oh, Donghyok Kwon, Jun-Wook Kwon, Sung Soon Kim, June-Woo Lee
    Epidemiology and Health.2022; 44: e2022028.     CrossRef
  • Adjusting non-pharmaceutical interventions based on hospital bed capacity using a multi-operator differential evolution
    Victoria May P. Mendoza, Renier Mendoza, Jongmin Lee, Eunok Jung
    AIMS Mathematics.2022; 7(11): 19922.     CrossRef
  • Quantifying the Effects of Non-Pharmaceutical and Pharmaceutical Interventions Against Covid-19 Epidemic in the Republic of Korea: Mathematical Model-Based Approach Considering Age Groups and the Delta Variant
    Youngsuk Ko, Victoria May P. Mendoza, Yubin Seo, Jacob Lee, Yeonju Kim, Donghyok Kwon, Eunok Jung, E. Augeraud, M. Banerjee, J.-S. Dhersin, A. d'Onofrio, T. Lipniacki, S. Petrovskii, Chi Tran, A. Veber-Delattre, E. Vergu, V. Volpert
    Mathematical Modelling of Natural Phenomena.2022; 17: 39.     CrossRef
  • Modelling the Potential Impact of Stigma on the Transmission Dynamics of COVID-19 in South Africa
    Siphokazi Princess Gatyeni, Faraimunashe Chirove, Farai Nyabadza
    Mathematics.2022; 10(18): 3253.     CrossRef
  • COVID‐19 in one region of New Zealand: a descriptive epidemiological study
    Vanessa Hammond, Michael Butchard, Hohepa Stablein, Susan Jack
    Australian and New Zealand Journal of Public Health.2022; 46(6): 745.     CrossRef
  • A systematic review of asymptomatic infections with COVID-19
    Zhiru Gao, Yinghui Xu, Chao Sun, Xu Wang, Ye Guo, Shi Qiu, Kewei Ma
    Journal of Microbiology, Immunology and Infection.2021; 54(1): 12.     CrossRef
  • Estimates of serial interval for COVID-19: A systematic review and meta-analysis
    Balram Rai, Anandi Shukla, Laxmi Kant Dwivedi
    Clinical Epidemiology and Global Health.2021; 9: 157.     CrossRef
  • A model based on cellular automata to estimate the social isolation impact on COVID-19 spreading in Brazil
    P.H.T. Schimit
    Computer Methods and Programs in Biomedicine.2021; 200: 105832.     CrossRef
  • Spread of COVID-19 and policy responses in Vietnam: An overview
    Quang Van Nguyen, Dung Anh Cao, Son Hong Nghiem
    International Journal of Infectious Diseases.2021; 103: 157.     CrossRef
  • Período de incubación de la COVID-19: revisión sistemática y metaanálisis
    J.A. Quesada, A. López-Pineda, V.F. Gil-Guillén, J.M. Arriero-Marín, F. Gutiérrez, C. Carratala-Munuera
    Revista Clínica Española.2021; 221(2): 109.     CrossRef
  • Clinical, epidemiological, laboratory, and radiological characteristics of novel Coronavirus (2019-nCoV) in retrospective studies: A systemic review and meta-analysis
    Ebrahim Kouhsari, Khalil Azizian, Mohammad Sholeh, Mohammad Shayestehpour, Marzieh Hashemian, Somayeh Karamollahi, Sajad Yaghoubi, Nourkhoda Sadeghiifard
    Indian Journal of Medical Microbiology.2021; 39(1): 104.     CrossRef
  • Incubation period of COVID-19: A systematic review and meta-analysis
    J.A. Quesada, A. López-Pineda, V.F. Gil-Guillén, J.M. Arriero-Marín, F. Gutiérrez, C. Carratala-Munuera
    Revista Clínica Española (English Edition).2021; 221(2): 109.     CrossRef
  • Comparative profile for COVID-19 cases from China and North America: Clinical symptoms, comorbidities and disease biomarkers
    Alaa Badawi, Denitsa Vasileva
    World Journal of Clinical Cases.2021; 9(1): 118.     CrossRef
  • Serial Interval and Generation Interval for Imported and Local Infectors, Respectively, Estimated Using Reported Contact-Tracing Data of COVID-19 in China
    Menghui Li, Kai Liu, Yukun Song, Ming Wang, Jinshan Wu
    Frontiers in Public Health.2021;[Epub]     CrossRef
  • COVID‐19 and Immunological Dysregulation: Can Autoantibodies be Useful?
    Simona Pascolini, Antonio Vannini, Gaia Deleonardi, Michele Ciordinik, Annamaria Sensoli, Ilaria Carletti, Lorenza Veronesi, Chiara Ricci, Alessia Pronesti, Laura Mazzanti, Ana Grondona, Tania Silvestri, Stefano Zanuso, Marcello Mazzolini, Claudine Lalann
    Clinical and Translational Science.2021; 14(2): 502.     CrossRef
  • Delving Into the Origin of Destructive Inflammation in COVID-19: A Betrayal of Natural Host Defense Peptides?
    Rebeca Garcia-Fandino, Ángel Piñeiro
    Frontiers in Immunology.2021;[Epub]     CrossRef
  • Subcritical Transmission in the Early Stage of COVID-19 in Korea
    Yong Sul Won, Jong-Hoon Kim, Chi Young Ahn, Hyojung Lee
    International Journal of Environmental Research and Public Health.2021; 18(3): 1265.     CrossRef
  • Do Stay at Home Orders and Cloth Face Coverings Control COVID-19 in New York City? Results From a SIER Model Based on Real-world Data
    Jian Li, Yuming Wang, Jing Wu, Jing-Wen Ai, Hao-Cheng Zhang, Michelle Gamber, Wei Li, Wen-Hong Zhang, Wen-Jie Sun
    Open Forum Infectious Diseases.2021;[Epub]     CrossRef
  • Steps and Challenges in Creating and Managing Quarantine Capacity During a Global Emergency – Qatar’s Experience
    Naseer Masoodi, Abdul-Badi Abou-Samra, Roberto Bertollini, Anas Halabi, Fatima Haidar, Nadya Al Anzi, Adeel A. Butt
    Journal of Infection and Public Health.2021; 14(5): 598.     CrossRef
  • COVID‐19: Current knowledge in clinical features, immunological responses, and vaccine development
    Ramandeep Singh, Alisha Kang, Xiangqian Luo, Mangalakumari Jeyanathan, Amy Gillgrass, Sam Afkhami, Zhou Xing
    The FASEB Journal.2021;[Epub]     CrossRef
  • Systematic Assessment of South Korea’s Capabilities to Control COVID-19
    Katelyn J. Yoo, Soonman Kwon, Yoonjung Choi, David M. Bishai
    Health Policy.2021;[Epub]     CrossRef
  • Epidemiology, clinical spectrum, viral kinetics and impact of COVID ‐19 in the Asia‐Pacific region
    Kin On Kwok, Ying Huang, Margaret Ting Fong Tsoi, Arthur Tang, Samuel Yeung Shan Wong, Wan In Wei, David Shu Cheong Hui
    Respirology.2021; 26(4): 322.     CrossRef
  • COVID-19: Famotidine, Histamine, Mast Cells, and Mechanisms
    Robert W. Malone, Philip Tisdall, Philip Fremont-Smith, Yongfeng Liu, Xi-Ping Huang, Kris M. White, Lisa Miorin, Elena Moreno, Assaf Alon, Elise Delaforge, Christopher D. Hennecker, Guanyu Wang, Joshua Pottel, Robert V. Blair, Chad J. Roy, Nora Smith, Jul
    Frontiers in Pharmacology.2021;[Epub]     CrossRef
  • Assessment and management of asymptomatic COVID-19 infection: A systematic review
    Joshuan J. Barboza, Diego Chambergo-Michilot, Mariana Velasquez-Sotomayor, Christian Silva-Rengifo, Carlos Diaz-Arocutipa, Jose Caballero-Alvarado, Franko O. Garcia-Solorzano, Christoper A. Alarcon-Ruiz, Leonardo Albitres-Flores, German Malaga, Patricia S
    Travel Medicine and Infectious Disease.2021; 41: 102058.     CrossRef
  • COVID-19 Detection Empowered with Machine Learning and Deep Learning Techniques: A Systematic Review
    Amir Rehman, Muhammad Azhar Iqbal, Huanlai Xing, Irfan Ahmed
    Applied Sciences.2021; 11(8): 3414.     CrossRef
  • Ongoing COVID-19 Pandemic: A Concise but Updated Comprehensive Review
    Chao Wang, Xiong Xiao, Hongyan Feng, Zhengyuan Hong, Meng Li, Ning Tu, Xuerong Li, Ke Wang, Lihong Bu
    Current Microbiology.2021; 78(5): 1718.     CrossRef
  • Differentially expressed immune response genes in COVID-19 patients based on disease severity
    Shasha Li, Xiaoqiong Duan, Yujia Li, Ming Li, Yong Gao, Tuantuan Li, Shilin Li, Lin Tan, Tuo Shao, Andre J. Jeyarajan, Limin Chen, Mingfeng Han, Wenyu Lin, Xiuyong Li
    Aging.2021; 13(7): 9265.     CrossRef
  • Assessment of basic reproductive number for COVID-19 at global level
    Cheng-Jun Yu, Zi-Xiao Wang, Yue Xu, Ming-Xia Hu, Kai Chen, Gang Qin
    Medicine.2021; 100(18): e25837.     CrossRef
  • Challenges Caused by Imported Cases Abroad for the Prevention and Control of COVID-19 in China
    Jianfei Zhu, Qingqing Zhang, Chenghui Jia, Shuonan Xu, Jie Lei, Jiakuan Chen, Yanmin Xia, Wenchen Wang, Xuejiao Wang, Miaomiao Wen, Hongtao Wang, Zhipei Zhang, Wuping Wang, Jinbo Zhao, Tao Jiang
    Frontiers in Medicine.2021;[Epub]     CrossRef
  • Epidemiology and Clinical Outcomes of COVID-19 Patients in Northwestern China Who Had a History of Exposure in Wuhan City: Departure Time-Originated Pinpoint Surveillance
    Qingqing Zhang, Jianfei Zhu, Chenghui Jia, Shuonan Xu, Tao Jiang, Shengyu Wang
    Frontiers in Medicine.2021;[Epub]     CrossRef
  • Inherently high uncertainty in predicting the time evolution of epidemics
    Seung-Nam Park, Hyong-Ha Kim, Kyoung Beom Lee
    Epidemiology and Health.2021; 43: e2021014.     CrossRef
  • COVID-19 Vaccine Priority Strategy Using a Heterogenous Transmission Model Based on Maximum Likelihood Estimation in the Republic of Korea
    Youngsuk Ko, Jacob Lee, Yeonju Kim, Donghyok Kwon, Eunok Jung
    International Journal of Environmental Research and Public Health.2021; 18(12): 6469.     CrossRef
  • Is it enough for COVID-19 screening test? Limitation of swab test and general characteristics of mild symptom patients
    Sungwoo Choi, Hyo Jeong Choi, Ho Jung Kim
    Science Progress.2021; 104(2): 003685042110261.     CrossRef
  • Quality of life during the epidemic of COVID-19 and its associated factors among enterprise workers in East China
    Xiaoxiao Chen, Qian Xu, Haijiang Lin, Jianfu Zhu, Yue Chen, Qi Zhao, Chaowei Fu, Na Wang
    BMC Public Health.2021;[Epub]     CrossRef
  • Rapid and Visual Detection of SARS-CoV-2 Using Multiplex Reverse Transcription Loop-Mediated Isothermal Amplification Linked With Gold Nanoparticle-Based Lateral Flow Biosensor
    Xu Chen, Qingxue Zhou, Shijun Li, Hao Yan, Bingcheng Chang, Yuexia Wang, Shilei Dong
    Frontiers in Cellular and Infection Microbiology.2021;[Epub]     CrossRef
  • Effect of Non-lockdown Social Distancing and Testing-Contact Tracing During a COVID-19 Outbreak in Daegu, South Korea, February to April 2020: A Modeling Study
    Yi-Hsuan Chen, Chi-Tai Fang, Yu-Ling Huang
    International Journal of Infectious Diseases.2021; 110: 213.     CrossRef
  • Asymptomatic SARS-CoV-2 infection: A systematic review and meta-analysis
    Pratha Sah, Meagan C. Fitzpatrick, Charlotte F. Zimmer, Elaheh Abdollahi, Lyndon Juden-Kelly, Seyed M. Moghadas, Burton H. Singer, Alison P. Galvani
    Proceedings of the National Academy of Sciences.2021;[Epub]     CrossRef
  • Transmission dynamics of SARS-CoV-2 in a mid-size city of China
    Hongjun Zhao, Xiaoxiao Lu, Wenhui Lun, Tiegang Li, Boqi Rao, Dedong Wang, Di Wu, Fuman Qiu, Zhicong Yang, Jiachun Lu
    BMC Infectious Diseases.2021;[Epub]     CrossRef
  • The incubation period of COVID-19: a global meta-analysis of 53 studies and a Chinese observation study of 11 545 patients
    Cheng Cheng, DongDong Zhang, Dejian Dang, Juan Geng, Peiyu Zhu, Mingzhu Yuan, Ruonan Liang, Haiyan Yang, Yuefei Jin, Jing Xie, Shuaiyin Chen, Guangcai Duan
    Infectious Diseases of Poverty.2021;[Epub]     CrossRef
  • How Important Is Behavioral Change during the Early Stages of the COVID-19 Pandemic? A Mathematical Modeling Study
    Jongmin Lee, Seok-Min Lee, Eunok Jung
    International Journal of Environmental Research and Public Health.2021; 18(18): 9855.     CrossRef
  • Experience from five Asia-Pacific countries during the first wave of the COVID-19 pandemic: Mitigation strategies and epidemiology outcomes
    Clotilde El Guerche-Séblain, Lina Chakir, Gopinath Nageshwaran, Rebecca C. Harris, Caroline Sevoz-Couche, Olivier Vitoux, Philippe Vanhems
    Travel Medicine and Infectious Disease.2021; 44: 102171.     CrossRef
  • Healthcare practice strategies for integrating personalized medicine: Management of COVID-19
    Wen-Yi Liu, Ching-Wen Chien, Tao-Hsin Tung
    World Journal of Clinical Cases.2021; 9(29): 8647.     CrossRef
  • Rapid transmission of coronavirus disease 2019 within a religious sect in South Korea: A mathematical modeling study
    Jong-Hoon Kim, Hyojung Lee, Yong Sul Won, Woo-Sik Son, Justin Im
    Epidemics.2021; 37: 100519.     CrossRef
  • Intestinal Collinsella may mitigate infection and exacerbation of COVID-19 by producing ursodeoxycholate
    Masaaki Hirayama, Hiroshi Nishiwaki, Tomonari Hamaguchi, Mikako Ito, Jun Ueyama, Tetsuya Maeda, Kenichi Kashihara, Yoshio Tsuboi, Kinji Ohno, Francois Blachier
    PLOS ONE.2021; 16(11): e0260451.     CrossRef
  • Mathematical modeling and impact analysis of the use of COVID Alert SA app
    Musyoka Kinyili, Justin B Munyakazi, Abdulaziz YA Mukhtar
    AIMS Public Health.2021; 9(1): 106.     CrossRef
  • One Health, “Disease X” & the challenge of “Unknown” Unknowns
    Pranab Chatterjee, Parvati Nair, Matthew Chersich, Yitagele Terefe, AbhimanyuSingh Chauhan, Fabiola Quesada, Greg Simpson
    Indian Journal of Medical Research.2021; 153(3): 264.     CrossRef
  • Psychological well-being of foreign university students during the COVID-19 pandemic: a cross-sectional study in South Korea using the Kessler Psychological Distress Scale (K10)
    Achangwa Chiara, Tae-Jun Lee, Moo-Sik Lee
    Journal of Global Health Science.2021;[Epub]     CrossRef
  • Risk of COVID-19 transmission in heterogeneous age groups and effective vaccination strategy in Korea: a mathematical modeling study
    Youngsuk Ko, Jacob Lee, Yubin Seo, Eunok Jung
    Epidemiology and Health.2021; 43: e2021059.     CrossRef
  • The SARS-CoV-2 outbreak from a one health perspective
    Maged Gomaa Hemida, Mohammed M. Ba Abduallah
    One Health.2020; 10: 100127.     CrossRef
  • Clinical features of severe pediatric patients with coronavirus disease 2019 in Wuhan: a single center’s observational study
    Dan Sun, Hui Li, Xiao-Xia Lu, Han Xiao, Jie Ren, Fu-Rong Zhang, Zhi-Sheng Liu
    World Journal of Pediatrics.2020; 16(3): 251.     CrossRef
  • Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing
    Luca Ferretti, Chris Wymant, Michelle Kendall, Lele Zhao, Anel Nurtay, Lucie Abeler-Dörner, Michael Parker, David Bonsall, Christophe Fraser
    Science.2020;[Epub]     CrossRef
  • Novel Coronavirus Infection (COVID-19) in Humans: A Scoping Review and Meta-Analysis
    Israel Júnior Borges do Nascimento, Nensi Cacic, Hebatullah Mohamed Abdulazeem, Thilo Caspar von Groote, Umesh Jayarajah, Ishanka Weerasekara, Meisam Abdar Esfahani, Vinicius Tassoni Civile, Ana Marusic, Ana Jeroncic, Nelson Carvas Junior, Tina Poklepovic
    Journal of Clinical Medicine.2020; 9(4): 941.     CrossRef
  • A Systematic Review of COVID-19 Epidemiology Based on Current Evidence
    Minah Park, Alex R. Cook, Jue Tao Lim, Yinxiaohe Sun, Borame L. Dickens
    Journal of Clinical Medicine.2020; 9(4): 967.     CrossRef
  • Clinical characteristics of non-critically ill patients with novel coronavirus infection (COVID-19) in a Fangcang Hospital
    X. Wang, J. Fang, Y. Zhu, L. Chen, F. Ding, R. Zhou, L. Ge, F. Wang, Q. Chen, Y. Zhang, Q. Zhao
    Clinical Microbiology and Infection.2020; 26(8): 1063.     CrossRef
  • Estimating the reproductive number and the outbreak size of COVID-19 in Korea
    Sunhwa Choi, Moran Ki
    Epidemiology and Health.2020; 42: e2020011.     CrossRef
  • Renal Involvement and Early Prognosis in Patients with COVID-19 Pneumonia
    Guangchang Pei, Zhiguo Zhang, Jing Peng, Liu Liu, Chunxiu Zhang, Chong Yu, Zufu Ma, Yi Huang, Wei Liu, Ying Yao, Rui Zeng, Gang Xu
    Journal of the American Society of Nephrology.2020; 31(6): 1157.     CrossRef
  • Epidemiological and clinical characteristics of 136 cases of COVID-19 in main district of Chongqing
    Peng Chen, Ying Zhang, Yongsheng Wen, Jinjun Guo, Jinwei Jia, Yu Ma, Yi Xu
    Journal of the Formosan Medical Association.2020; 119(7): 1180.     CrossRef
  • Characteristics of asymptomatic patients with SARS-CoV-2 infection in Jinan, China
    Yan Ma, Qing-nan Xu, Feng-li Wang, Xiao-man Ma, Xiao-yan Wang, Xiao-guo Zhang, Zhong-fa Zhang
    Microbes and Infection.2020; 22(4-5): 212.     CrossRef
  • An infant with a mild SARS-CoV-2 infection detected only by anal swabs: a case report
    Juan Li, Jing Feng, Tian-hu Liu, Feng-cheng Xu, Guo-qiang Song
    The Brazilian Journal of Infectious Diseases.2020; 24(3): 247.     CrossRef
  • Epidemiological and clinical characteristics of 333 confirmed cases with coronavirus disease 2019 in Shanghai, China
    Xiao Yu, Xiaodong Sun, Peng Cui, Hao Pan, Sheng Lin, Ruobing Han, Chenyan Jiang, Qiwen Fang, Dechuan Kong, Yiyi Zhu, Yaxu Zheng, Xiaohuan Gong, Wenjia Xiao, Shenghua Mao, Bihong Jin, Huanyu Wu, Chen Fu
    Transboundary and Emerging Diseases.2020; 67(4): 1697.     CrossRef
  • COVID-19 pandemic—a focused review for clinicians
    M. Cevik, C.G.G. Bamford, A. Ho
    Clinical Microbiology and Infection.2020; 26(7): 842.     CrossRef
  • Commentary on COVID-19 and African Americans. The Numbers are Just a Tip of a Bigger Iceberg
    Cindy Ogolla Jean-Baptiste, Tyeastia Green
    SSRN Electronic Journal .2020;[Epub]     CrossRef
  • Characteristics and diagnosis rate of 5630 subjects receiving SARS-CoV-2 nucleic acid tests from Wuhan, China
    Na Shen, Yaowu Zhu, Xiong Wang, Jing Peng, Weiyong Liu, Feng Wang, Yanjun Lu, Liming Cheng, Ziyong Sun
    JCI Insight.2020;[Epub]     CrossRef
  • Epidemiological and Clinical Characteristics of COVID-19 in Adolescents and Young Adults
    Jiaqiang Liao, Shibing Fan, Jing Chen, Jianglin Wu, Shunqing Xu, Yuming Guo, Chunhui Li, Xianxiang Zhang, Chuansha Wu, Huaming Mou, Chenxi Song, Feng Li, Guicheng Wu, Jingjing Zhang, Lian Guo, Huawen Liu, Jinglong Lv, Lixin Xu, Chunhui Lang
    The Innovation.2020; 1(1): 100001.     CrossRef
  • A case series describing the epidemiology and clinical characteristics of COVID-19 infection in Jilin Province
    Na Du, Haiying Chen, Qing Zhang, Lihe Che, Lixin Lou, Xiaohua Li, Kaiyu Zhang, Wanguo Bao
    Virulence.2020; 11(1): 482.     CrossRef
  • New Insights of Emerging SARS-CoV-2: Epidemiology, Etiology, Clinical Features, Clinical Treatment, and Prevention
    Gangqiang Guo, Lele Ye, Kan Pan, Yu Chen, Dong Xing, Kejing Yan, Zhiyuan Chen, Ning Ding, Wenshu Li, Hong Huang, Lifang Zhang, Xiaokun Li, Xiangyang Xue
    Frontiers in Cell and Developmental Biology.2020;[Epub]     CrossRef
  • A novel IDEA: The impact of serial interval on a modified-Incidence Decay and Exponential Adjustment (m-IDEA) model for projections of daily COVID-19 cases
    Ben A. Smith
    Infectious Disease Modelling.2020; 5: 346.     CrossRef
  • First Mildly Ill, Nonhospitalized Case of Coronavirus Disease 2019 (COVID-19) Without Viral Transmission in the United States—Maricopa County, Arizona, 2020
    Sarah E Scott, Karen Zabel, Jennifer Collins, Katherine C Hobbs, Melissa J Kretschmer, Mitchell Lach, Katie Turnbow, Lindsay Speck, Jessica R White, Keila Maldonado, Brandon Howard, Jeanene Fowler, Sonia Singh, Susan Robinson, Alexandra Peterson Pompa, Ke
    Clinical Infectious Diseases.2020; 71(15): 807.     CrossRef
  • School Opening Delay Effect on Transmission Dynamics of Coronavirus Disease 2019 in Korea: Based on Mathematical Modeling and Simulation Study
    Soyoung Kim, Yae-Jean Kim, Kyong Ran Peck, Eunok Jung
    Journal of Korean Medical Science.2020;[Epub]     CrossRef
  • Case fatality rate analysis of Italian COVID‐19 outbreak
    Giovanni Giangreco
    Journal of Medical Virology.2020; 92(7): 919.     CrossRef
  • Sociodemographic, clinical and laboratory factors on admission associated with COVID-19 mortality in hospitalized patients: A retrospective observational study
    Mario Rivera-Izquierdo, María del Carmen Valero-Ubierna, Juan Luis R-delAmo, Miguel Ángel Fernández-García, Silvia Martínez-Diz, Arezu Tahery-Mahmoud, Marta Rodríguez-Camacho, Ana Belén Gámiz-Molina, Nicolás Barba-Gyengo, Pablo Gámez-Baeza, Celia Cabrero-
    PLOS ONE.2020; 15(6): e0235107.     CrossRef
  • Propuesta del modelo para control de infecciones en la consulta odontológica ante la pandemia de COVID-19.
    Laura María Díaz Guzmán, José L Castellanos Suárez
    Revista de la Asociación Dental Mexicana.2020; 77(3): 137.     CrossRef
  • Why lockdown? Why national unity? Why global solidarity? Simplified arithmetic tools for decision-makers, health professionals, journalists and the general public to explore containment options for the 2019 novel coronavirus
    Gerry F. Killeen, Samson S. Kiware
    Infectious Disease Modelling.2020; 5: 442.     CrossRef
  • Incubation period of the coronavirus disease 2019 (COVID-19) in Busan, South Korea
    Hansol Lee, Kyungtae Kim, Kwonkyu Choi, Sangbum Hong, Hyunjin Son, Sukhyun Ryu
    Journal of Infection and Chemotherapy.2020; 26(9): 1011.     CrossRef
  • Global trends of clinical presentation of COVID-19
    Ragini Sharma, MradulK Daga, Govind Mawari, VijayKumar Karra, Naresh Kumar, ManishKumar Jha, Suresh Kumar
    Indian Journal of Medical Specialities.2020; 11(2): 59.     CrossRef
  • Epidemiological characteristics of COVID-19: a systematic review and meta-analysis
    Malahat Khalili, Mohammad Karamouzian, Naser Nasiri, Sara Javadi, Ali Mirzazadeh, Hamid Sharifi
    Epidemiology and Infection.2020;[Epub]     CrossRef
  • Epidemiological and clinical characteristics of a familial cluster of COVID-19
    Yong Sun, Lin Tian, Xiaomei Du, Hua Wang, Yueshan Li, Rangbing Wu
    Epidemiology and Infection.2020;[Epub]     CrossRef
  • Clinical Performance of the Luminex NxTAG CoV Extended Panel for SARS-CoV-2 Detection in Nasopharyngeal Specimens from COVID-19 Patients in Hong Kong
    Jonathan Hon-Kwan Chen, Cyril Chik-Yan Yip, Jasper Fuk-Woo Chan, Rosana Wing-Shan Poon, Kelvin Kai-Wang To, Kwok-Hung Chan, Vincent Chi-Chung Cheng, Kwok-Yung Yuen, Alexander J. McAdam
    Journal of Clinical Microbiology.2020;[Epub]     CrossRef
  • Detection of SARS-CoV-2 by Use of the Cepheid Xpert Xpress SARS-CoV-2 and Roche cobas SARS-CoV-2 Assays
    Angelica Moran, Kathleen G. Beavis, Scott M. Matushek, Carol Ciaglia, Nina Francois, Vera Tesic, Nedra Love, Alexander J. McAdam
    Journal of Clinical Microbiology.2020;[Epub]     CrossRef
  • Evidence for transmission of COVID-19 prior to symptom onset
    Lauren C Tindale, Jessica E Stockdale, Michelle Coombe, Emma S Garlock, Wing Yin Venus Lau, Manu Saraswat, Louxin Zhang, Dongxuan Chen, Jacco Wallinga, Caroline Colijn
    eLife.2020;[Epub]     CrossRef
  • Diagnostic serial interval as a novel indicator for contact tracing effectiveness exemplified with the SARS-CoV-2/COVID-19 outbreak in South Korea
    Sofia K. Mettler, Jihoo Kim, Marloes H. Maathuis
    International Journal of Infectious Diseases.2020; 99: 346.     CrossRef
  • Epidemiological Characteristics of COVID-19 Outbreak at Fitness Centers in Cheonan, Korea
    Sanghyuk Bae, Hwami Kim, Tae-Young Jung, Ji-Ae Lim, Da-Hye Jo, Gi-Seok Kang, Seung-Hee Jeong, Dong-Kwon Choi, Hye-Jin Kim, Young Hee Cheon, Min-kyo Chun, Miyoung Kim, Siwon Choi, Chaemin Chun, Seung Hwan Shin, Hee Kyoung Kim, Young Joon Park, Ok Park, Ho-
    Journal of Korean Medical Science.2020;[Epub]     CrossRef
  • Pulmonary and Extra-Pulmonary Clinical Manifestations of COVID-19
    Kemmian D. Johnson, Christen Harris, John K. Cain, Cicily Hummer, Hemant Goyal, Abhilash Perisetti
    Frontiers in Medicine.2020;[Epub]     CrossRef
  • Mask or no mask for COVID-19: A public health and market study
    Tom Li, Yan Liu, Man Li, Xiaoning Qian, Susie Y. Dai, Kednapa Thavorn
    PLOS ONE.2020; 15(8): e0237691.     CrossRef
  • COVID-19 induced liver function abnormality associates with age
    Shasha Li, Jinsong Li, Zhenhua Zhang, Lin Tan, Tuo Shao, Ming Li, Xiuyong Li, Jacinta A. Holmes, Wenyu Lin, Mingfeng Han
    Aging.2020; 12(14): 13895.     CrossRef
  • Incubation period of COVID-19: a rapid systematic review and meta-analysis of observational research
    Conor McAloon, Áine Collins, Kevin Hunt, Ann Barber, Andrew W Byrne, Francis Butler, Miriam Casey, John Griffin, Elizabeth Lane, David McEvoy, Patrick Wall, Martin Green, Luke O'Grady, Simon J More
    BMJ Open.2020; 10(8): e039652.     CrossRef
  • Lessons from the Mainland of China’s Epidemic Experience in the First Phase about the Growth Rules of Infected and Recovered Cases of COVID-19 Worldwide
    Chuanliang Han, Yimeng Liu, Jiting Tang, Yuyao Zhu, Carlo Jaeger, Saini Yang
    International Journal of Disaster Risk Science.2020; 11(4): 497.     CrossRef
  • China’s practice to prevent and control COVID-19 in the context of large population movement
    Tie-Long Xu, Mei-Ying Ao, Xu Zhou, Wei-Feng Zhu, He-Yun Nie, Jian-He Fang, Xin Sun, Bin Zheng, Xiao-Fan Chen
    Infectious Diseases of Poverty.2020;[Epub]     CrossRef
  • Lung Mechanics of Mechanically Ventilated Patients With COVID-19: Analytics With High-Granularity Ventilator Waveform Data
    Huiqing Ge, Qing Pan, Yong Zhou, Peifeng Xu, Lingwei Zhang, Junli Zhang, Jun Yi, Changming Yang, Yuhan Zhou, Limin Liu, Zhongheng Zhang
    Frontiers in Medicine.2020;[Epub]     CrossRef
  • Early Research on COVID-19: A Bibliometric Analysis
    Yue Gong, Ting-can Ma, Yang-yang Xu, Rui Yang, Lan-jun Gao, Si-hua Wu, Jing Li, Ming-liang Yue, Hui-gang Liang, Xiao He, Tao Yun
    The Innovation.2020; 1(2): 100027.     CrossRef
  • Modeling the Prevalence of Asymptomatic COVID-19 Infections in the Chinese Mainland
    Xiaoqian Jia, Junxi Chen, Liangjing Li, Na Jia, Bahabaike Jiangtulu, Tao Xue, Le Zhang, Zhiwen Li, Rongwei Ye, Bin Wang
    The Innovation.2020; 1(2): 100026.     CrossRef
  • COVID-19 in Nursing Facilities: Experience in Republic of Korea
    Rok Song, Hee-Sook Kim, Seok-Ju Yoo, Kwan Lee, Ji-Hyuk Park, Joon Ho Jang, Gyoung-Sook Ahn, Jun-Nyun Kim
    Osong Public Health and Research Perspectives.2020; 11(4): 164.     CrossRef
  • Estimating the Effectiveness of Non-pharmaceutical Interventions on COVID-19 Control in Korea
    Kyung-Duk Min, Heewon Kang, Ju-Yeun Lee, Seonghee Jeon, Sung-il Cho
    Journal of Korean Medical Science.2020;[Epub]     CrossRef
  • The transmission modes and sources of COVID-19: A systematic review
    Heshu Sulaiman Rahman, Masrur Sleman Aziz, Ridha Hassan Hussein, Hemn Hassan Othman, Shirwan Hama Salih Omer, Eman Star Khalid, Nusayba Abdulrazaq Abdulrahman, Kawa Amin, Rasedee Abdullah
    International Journal of Surgery Open.2020; 26: 125.     CrossRef
  • The impact of social distancing and public behavior changes on COVID-19 transmission dynamics in the Republic of Korea
    Soyoung Kim, Youngsuk Ko, Yae-Jean Kim, Eunok Jung, Yury E. Khudyakov
    PLOS ONE.2020; 15(9): e0238684.     CrossRef
  • Coronavirus, la epidemia que cambió el mundo
    Leonardo López Almejo,  Luis Gerardo  Padilla Rojas, Darío Esaú  Garín Zertuche, Michael  Dittmar Johnson
    Ortho-tips.2020; 16(2): 54.     CrossRef
  • Laboratory Diagnosis of Coronavirus Disease 19 (COVID-19) in Korea: Current Status, Limitation, and Challenges
    Gi Seon Song, You-Rim Lee, Sungmin Kim, Wontae Kim, Jungwon Choi, Dahyeon Yoo, Jungyoung Yoo, Kyung-Tae Jang, Jaewang Lee, Jin Hyun Jun
    The Korean Journal of Clinical Laboratory Science.2020; 52(3): 284.     CrossRef
  • Response to COVID-19 in South Korea and implications for lifting stringent interventions
    Amy Dighe, Lorenzo Cattarino, Gina Cuomo-Dannenburg, Janetta Skarp, Natsuko Imai, Sangeeta Bhatia, Katy A. M. Gaythorpe, Kylie E. C. Ainslie, Marc Baguelin, Samir Bhatt, Adhiratha Boonyasiri, Nicholas F. Brazeau, Laura V. Cooper, Helen Coupland, Zulma Cuc
    BMC Medicine.2020;[Epub]     CrossRef
  • Incubation Period of Severe Acute Respiratory Syndrome Novel Coronavirus 2 that Causes Coronavirus Disease 2019: A Systematic Review and Meta-Analysis
    Gizachew Tadesse Wassie, Abebaw Gedef Azene, Getasew Mulat Bantie, Getenet Dessie, Abiba Mihret Aragaw
    Current Therapeutic Research.2020; 93: 100607.     CrossRef
  • Definition and retrospective application of a clinical scoring system for COVID-19 triage at presentation
    Jun Duan, Mei Liang, Yongpu Li, Dan Wu, Ying Chen, Shui Gao, Ping Jia, Mei Yang, Wei Xia, Xiaolan Wu, Quan Li, Fulin Zuo, Yahong Zhang, Yongfang He, Jianghua Nie, Wenxiu Zhou, Xueqin Fu, Xiaobin Peng, Zhoujun Ma, Xiaofeng Fu, Lingwei Zeng, Wenyi You, Yuan
    Therapeutic Advances in Respiratory Disease.2020; 14: 175346662096301.     CrossRef
  • Early epidemiological indicators, outcomes, and interventions of COVID-19 pandemic: A systematic review
    Urvish Patel, Preeti Malik, Deep Mehta, Dhaivat Shah, Raveena Kelkar, Candida Pinto, Maria Suprun, Mandip Dhamoon, Nils Hennig, Henry Sacks
    Journal of Global Health.2020;[Epub]     CrossRef
  • Hospital admission rates, length of stay, and in-hospital mortality for common acute care conditions in COVID-19 vs. pre-COVID-19 era
    A.A. Butt, A.B. Kartha, N.A. Masoodi, A.M. Azad, N.A. Asaad, M.U. Alhomsi, H.A.H. Saleh, R. Bertollini, A.-B. Abou-Samra
    Public Health.2020; 189: 6.     CrossRef
  • SARS-CoV-2 y RT-PCR en pacientes asintomáticos: resultados de una cohorte de trabajadores del Aeropuerto Internacional El Dorado de Bogotá, 2020
    Jeadran Malagón-Rojas, Claudia Gómez-Rendón , Eliana L. Parra , Julia Almentero , Ruth Palma , Ronald López , Yesith Guillermo Toloza-Pérez , Vivian Rubio , Juan Felipe Bedoya , Fernando López-Díaz , Carlos Franco-Muñoz , Jhonnatan Reales-Gonzá
    Biomédica.2020; 40(Supl. 2): 166.     CrossRef
  • Transmissibility of coronavirus disease 2019 in Chinese cities with different dynamics of imported cases
    Ka Chun Chong, Wei Cheng, Shi Zhao, Feng Ling, Kirran N. Mohammad, Maggie Wang, Benny CY Zee, Lai Wei, Xi Xiong, Hengyan Liu, Jingxuan Wang, Enfu Chen
    PeerJ.2020; 8: e10350.     CrossRef
  • Compositional cyber-physical epidemiology of COVID-19
    Jin Woo Ro, Nathan Allen, Weiwei Ai, Debi Prasad, Partha S. Roop
    Scientific Reports.2020;[Epub]     CrossRef
  • Reproductive number of coronavirus: A systematic review and meta-analysis based on global level evidence
    Md. Arif Billah, Md. Mamun Miah, Md. Nuruzzaman Khan, Maria Elena Flacco
    PLOS ONE.2020; 15(11): e0242128.     CrossRef
  • Evidence of Long-Distance Droplet Transmission of SARS-CoV-2 by Direct Air Flow in a Restaurant in Korea
    Keun-Sang Kwon, Jung-Im Park, Young Joon Park, Don-Myung Jung, Ki-Wahn Ryu, Ju-Hyung Lee
    Journal of Korean Medical Science.2020;[Epub]     CrossRef
  • Rapid review of available evidence on the serial interval and generation time of COVID-19
    John Griffin, Miriam Casey, Áine Collins, Kevin Hunt, David McEvoy, Andrew Byrne, Conor McAloon, Ann Barber, Elizabeth Ann Lane, SImon More
    BMJ Open.2020; 10(11): e040263.     CrossRef
  • Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic
    Luciana Guerra Gallo, Ana Flávia de Morais Oliveira, Amanda Amaral Abrahão, Leticia Assad Maia Sandoval, Yure Rodrigues Araújo Martins, Maria Almirón, Fabiana Sherine Ganem dos Santos, Wildo Navegantes Araújo, Maria Regina Fernandes de Oliveira, Henry Mai
    Frontiers in Public Health.2020;[Epub]     CrossRef
  • Coronavirus Disease 2019 (COVID-19): The Singapore Experience. A Review of the First Eight Months
    Trevor Hwee Yong Tan, Matthias Paul Han Sim Toh, Shawn Vasoo, David Chien Boon Lye, Brenda Sze Peng Ang, Yee Sin Leo, Vernon Jian Ming Lee, Ser Hon Puah, Asok Kurup
    Annals of the Academy of Medicine, Singapore.2020; 49(10): 764.     CrossRef
  • Keeping Low Reproductive Number Despite the Rebound Population Mobility in Korea, a Country Never under Lockdown during the COVID-19 Pandemic
    Soyoung Kim, Yae-Jean Kim, Kyong Ran Peck, Youngsuk Ko, Jonggul Lee, Eunok Jung
    International Journal of Environmental Research and Public Health.2020; 17(24): 9551.     CrossRef
  • Operating a National Hotline in Korea During the COVID-19 Pandemic
    Rok Song, Yuh Seog Choi, Jae Young Ko
    Osong Public Health and Research Perspectives.2020; 11(6): 380.     CrossRef
  • Using Automated-Machine Learning to Predict COVID-19 Patient Mortality (Preprint)
    Kenji Ikemura, Eran Bellin, Yukako Yagi, Henny Billett, Mahmoud Saada, Katelyn Simone, Lindsay Stahl, James Szymanski, D.Y. Goldstein, Morayma Reyes Gil
    Journal of Medical Internet Research.2020;[Epub]     CrossRef
  • El desafío de los portadores asintomáticos de COVID-19: una revisión rápida de la literatura
    Cidronio Albavera-Hernández, Jorge Martin Rodríguez-Hernández, Flor Stella Piñeros-Garzón, Sandra Milena Montoya-Sanabria
    Revista de Salud Pública.2020; 22(6): 1.     CrossRef
  • Global Cities and Socioeconomic Inequality: A Pathways Inquiry
    Herman L. Boschken
    SSRN Electronic Journal .2020;[Epub]     CrossRef
  • The agreed experts’ position of the Eurasian Association of Therapists on tactics of management of patients with comorbid pathology infected with SARS-Cov-2
    G. P. Arutiunov, E. I. Tarlovskaia, N. A. Koziolova, M. V. Boldina, M. M. Batiushin, A. S. Ametov, A. G. Arutiunov, A. S. Belevskii, G. R. Galstian, N. I. Grigor’eva, G. A. Dzhunusbekova, A. M. Esaian, S. V. Mal’chikova, N. P. Mit’kovskaia, A. M. Mkrtumia
    Terapevticheskii arkhiv.2020; 92(9): 108.     CrossRef
  • Digitalisation and COVID-19: The Perfect Storm
    Denis Horgan, Joanne Hackett, C. Benedikt Westphalen, Dipak Kalra, Etienne Richer, Mario Romao, Antonio L. Andreu, Jonathan A. Lal, Chiara Bernini, Birute Tumiene, Stefania Boccia, Antoni Montserrat
    Biomedicine Hub.2020; 5(3): 1.     CrossRef
  • ROLE OF TOLL-LIKE RECEPTORS IN CORONAVIRUS INFECTION AND IMMUNE RESPONSE
    Muhammad Sarfaraz Iqbal, Nimra Sardar, Wajiha Akmal, Rabia Sultan, Humaira Abdullah, Maimoona Qindeel, Kuldeep Dhama, Muhammad Bilal
    Journal of Experimental Biology and Agricultural Sciences.2020; 8(Spl-1-SARS): S66.     CrossRef
  • Literature Review of Epidemiological Phenomena: Corona Virus Disease Pandemic 2019
    Yarmaliza Yarmaliza, Teungku Nih Farisni, Fitriani Fitriani, Zakiyuddin Zakiyuddin, Fitrah Reynaldi, Safrizal Safrizal, Lili Eky Nursia N
    European Journal of Medical and Health Sciences.2020;[Epub]     CrossRef
Original Article
Prevalence of sexual experience among Korean adolescent: age-period-cohort analysis
Yongho Jee, Gyuyoung Lee
Epidemiol Health. 2020;42:e2020008.   Published online March 3, 2020
DOI: https://doi.org/10.4178/epih.e2020008
  • 9,509 View
  • 191 Download
  • 3 Citations
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
Since exposure to sexual content and early sexual initiation among adolescents have become serious social issues in Korea, an in-depth analysis of trends in the prevalence of sexual experience among Korean adolescents is necessary to project the trends and policies required for the next 10 years. The objective of this study was to identify the contributions of age, period, and birth cohort effects on the prevalence of sexual experience in Korean adolescents.
METHODS
We analyzed age-specific, period-specific, and birth cohort–specific trends in the prevalence of sexual experience among 911,502 adolescents (469,593 boys, 51.5%; 441,909 girls, 48.5%) aged 12 years to 17 years from the 2006 to 2017 Korean Youth Risk Behavior Web-based Survey. Joinpoint regression analysis was conducted to examine significant changes in the prevalence of sexual experience and to find the optimal number and location of places where trends changed.
RESULTS
The prevalence of sexual experience generally increased with age in all periods in both boys and girls. In boys, the prevalence of sexual experience increased in recent periods, especially in the age group of 12-13 years, while the prevalence of sexual experience decreased in the age group of 16-17 years. In girls, the age group of 12-13 years showed an increased prevalence of sexual experience in recent periods. However, the prevalence showed a decreasing trend in the age group of 16-17 years.
CONCLUSIONS
In boys and girls, sexual experience increased with age, although this tendency has slowed in recent cohorts. Therefore, early sex education is needed.
Summary
Korean summary
성경험 유병률은 일반적으로 남녀 공히 모든 시기에서 연령대에 따라 증가했다. 공통적으로 최근 연도에서 12-13세 연령군의 성 경험 유병률이 증가한 반면 16-17세 연령군에서 성경험 유병률이 감소했다. 전반적으로 2006 년부터 2017 년까지 청소년들의 성경험률은 소폭 감소했지만, 조기 성경험의 빈도는 증가하고 있다. 따라서 피임이나 순결 교육뿐만 아니라 성적자기결정능력같은 보다 실질적인 성교육이 어릴 때부터 강화되어야 할 것으로 보인다.
Key Message

Citations

Citations to this article as recorded by  
  • Human Papillomavirus (HPV) Vaccination Intent among Mothers of Adolescent Sons: A National Survey on HPV Knowledge, Attitudes and Beliefs in South Korea
    Jihye Choi, Seyoung Kim, Seung-Ju Lee, Sangrak Bae, Sooyoun Kim
    The World Journal of Men's Health.2023; 41(2): 413.     CrossRef
  • Sexual-Related Knowledge, School and Family Sexuality Education and Its Association with Experience of Sexual Intercourse among Vocational Secondary School Students in China
    Yuhang Fang, Yujia Zheng, Yan Jin, Chunyan Yu, Xiayun Zuo, Qiguo Lian, Chaohua Lou, Lihe Li, Ping Hong, Xiaowen Tu
    Children.2022; 9(8): 1206.     CrossRef
  • Factors associated with adolescents’ sexual experience based on the biopsychosocial model: a cross-sectional study using the Korea Youth Risk Behavior Web-based Survey (KYRBS)
    Ka Young Kim, Hye Young Shin
    BMJ Open.2022; 12(11): e066307.     CrossRef
Epidemiol Health : Epidemiology and Health
© Korean Society of Epidemiology.