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Myung-Jae Hwang 4 Articles
Clinical severity according to the primary infection variant in patients with suspected SARS-CoV-2 reinfection in Korea
Myung-Jae Hwang, Insob Hwang, Chungmin Park, Hanul Park, Taejong Son, Jong-Hun Kim
Epidemiol Health. 2023;45:e2023007.   Published online December 21, 2022
DOI: https://doi.org/10.4178/epih.e2023007
  • 5,521 View
  • 214 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
We aimed to evaluate the severity of suspected severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinfection according to variants of concern in Gyeongsangbuk-do and Daegu, Korea.
METHODS
The database of coronavirus disease 2019 (COVID-19) cases reported from epidemiological investigations through the integrated system operated by the Korea Disease Control and Prevention Agency, from January 20, 2020 to May 7, 2022 was combined with data from the Health Insurance Review and Assessment Service system. The severity odds ratio (SOR) in secondary infection episodes compared with primary infection was estimated using a generalized linear model with a binomial distribution.
RESULTS
In all patients, the SOR of SARS-CoV-2 reinfection was 0.89 (95% confidence interval [CI], 0.82 to 0.95), and the severity was lower than in the first infection. Patients who had been vaccinated within 91 days showed a more attenuated SOR (0.85; 95% CI, 0.74 to 0.98). However, despite vaccination, in patients with both primary and secondary infections caused by the Omicron variant, the severity was reduced to a lesser extent than in patients primarily infected with other variants.
CONCLUSIONS
We could make efforts to relieve the severity of COVID-19 in vulnerable populations, in which death is more likely, by recommending booster vaccinations in case of a resurgence.
Summary
Korean summary
국내 COVID-19 확진자들의 중증도 증가 위험은 재감염(2차감염) 시 감소하였지만, 1차감염과 재감염 모두 오미크론론 변이가 우세하였던 시기인 경우에는 오히려 증가하였다. 특히 마지막 예방접종일로부터 91일 이상인 확진자들과 60세이상 인구에서는 중증도 증가 위험이 더 높았다. 우리는 COVID-19가 장기화됨에 따라 취약인구집단에 대해 추가 예방접종을 권고함으로써 재감염시 중증도가 증가하는 것을 예방해야 할 필요가 있다.
Key Message
As COVID-19 prolongs, there is a need to recommend booster vaccinations for vulnerable populations to prevent the potential for increased severity in the event of reinfection.

Citations

Citations to this article as recorded by  
  • Changes in the intrinsic severity of severe acute respiratory syndrome coronavirus 2 according to the emerging variant: a nationwide study from February 2020 to June 2022, including comparison with vaccinated populations
    Boyeong Ryu, Eunjeong Shin, Dong Hwi Kim, HyunJu Lee, So Young Choi, Seong-Sun Kim, Il-Hwan Kim, Eun-Jin Kim, Sangwon Lee, Jaehyun Jeon, Donghyok Kwon, Sungil Cho
    BMC Infectious Diseases.2024;[Epub]     CrossRef
  • The effect of shortening the quarantine period and lifting the indoor mask mandate on the spread of COVID-19: a mathematical modeling approach
    Jung Eun Kim, Heejin Choi, Minji Lee, Chang Hyeong Lee
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • Previous infection with seasonal coronaviruses does not protect male Syrian hamsters from challenge with SARS-CoV-2
    Magen E. Francis, Ethan B. Jansen, Anthony Yourkowski, Alaa Selim, Cynthia L. Swan, Brian K. MacPhee, Brittany Thivierge, Rachelle Buchanan, Kerry J. Lavender, Joseph Darbellay, Matthew B. Rogers, Jocelyne Lew, Volker Gerdts, Darryl Falzarano, Danuta M. S
    Nature Communications.2023;[Epub]     CrossRef
Effect of socioeconomic disparities on the risk of COVID-19 in 8 metropolitan cities in the Korea: a community-based study
Myung-Jae Hwang, Shin Young Park, Tae-Ho Yoon, Jinhwa Jang, Seon-Young Lee, Myeongsu Yoo, Yoo-Yeon Kim, Hae-Kwan Cheong, Donghyok Kwon, Jong-Hun Kim
Epidemiol Health. 2022;44:e2022107.   Published online November 15, 2022
DOI: https://doi.org/10.4178/epih.e2022107
  • 5,395 View
  • 189 Download
  • 1 Web of Science
  • 2 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
Socioeconomic disparities have been reported as major risk factors contributing to the spread of coronavirus disease 2019 (COVID-19) at the community level. We conducted an epidemiological study on COVID-19 incidence risk using area-based deprivation indices (DIs) reflecting the characteristics of the susceptible population.
METHODS
A database of the confirmed COVID-19 cases in 8 metropolitan cities in Korea from January 20, 2020 to December 31, 2021 was combined with area-based DI scores and standardized prevalence rates of diabetes and hypertension from the Korean Community Health Survey. Relative risk (RR) levels were estimated using a generalized linear model with a Poisson distribution by age group.
RESULTS
The risk of COVID-19 incidence generally increased with increasing age, especially in patients aged ≥75 years. The RR of COVID-19 incidence per interquartile range increment of the composite deprivation index (composite DI) was 1.54 (95% confidence interval [CI], 1.34 to 1.70). Notably, in the first wave, the risk of COVID-19 incidence was approximately 3 times higher in the region with the lowest socioeconomic status than in the region with the highest status (RR, 3.08; 95% CI, 2.42 to 3.78 based on the the composite DI and RR, 3.13; 95% CI, 2.53 to 3.83 based on the social deprivation index).
CONCLUSIONS
This study provides scientific evidence that socioeconomic deprivation is an important risk factor for the spread of COVID-19. This finding suggests that a mid-term to long-term strategy is needed to protect susceptible populations and reduce the burden of COVID-19 in the community.
Summary
Korean summary
한국의 COVID-19 발생 위험은 지역박탈수준이 높은 지역에서 증가하였고, 특히 유행 초기 75세이상 연령층에서 뚜렷하게 증가하는 것으로 나타났다. 따라서 지역사회수준에서 사회경제적 여건을 고려하여 취약집단에서의 발생위험을 감소시키기 위해 중장기 전략을 세워야 한다는 것을 시사한다.
Key Message
There is a need to develop long-term strategies to reduce the risk of COVID-19 outbreaks in vulnerable populations in areas with poor socioeconomic conditions

Citations

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  • The current state of graphical abstracts and how to create good graphical abstracts
    Jieun Lee, Jeong-Ju Yoo
    Science Editing.2023; 10(1): 19.     CrossRef
  • Social deprivation and SARS-CoV-2 testing: a population-based analysis in a highly contrasted southern France region
    Jordi Landier, Léa Bassez, Marc-Karim Bendiane, Pascal Chaud, Florian Franke, Steve Nauleau, Fabrice Danjou, Philippe Malfait, Stanislas Rebaudet, Jean Gaudart
    Frontiers in Public Health.2023;[Epub]     CrossRef
Establishment of the Korea National Health and Nutrition Examination Survey air pollution study dataset for the researchers on the health impact of ambient air pollution
Myung-Jae Hwang, Jisun Sung, Miryoung Yoon, Jong-Hun Kim, Hui-Young Yun, Dae-Ryun Choi, Youn-Seo Koo, Kyungwon Oh, Sungha Yun, Hae-Kwan Cheong
Epidemiol Health. 2021;43:e2021015.   Published online February 8, 2021
DOI: https://doi.org/10.4178/epih.e2021015
  • 14,626 View
  • 393 Download
  • 4 Web of Science
  • 7 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
To provide a nationwide representative dataset for the study on health impact of air pollution, we combined the data from the Korea National Health and Nutrition Examination Survey with the daily air quality and weather data by matching the date of examination and the residential address of the participants. The database of meteorological factors and air quality as sources of exposure data were estimated using the Community Multiscale Air Quality model. The linkage dataset was merged by three ways; administrative district, <i>si-gun-gu</i> (city, county, and district), and geocode (in latitude and longitude coordinate units) based on the participants’ residential address, respectively. During the study period, the exposure dataset of 85,018 individuals (38,306 men and 46,712 women) whose examination dates were recorded were obtained. According to the definition of exposure period, the dataset was combined with the data on short-term, mid-term, and long-term exposure to air pollutants and the meteorological indices. Calculation of the daily merged dataset’s average air pollution linked by <i>si-gun-gu</i> and geocode units showed similar results. This study generated a daily average of meteorological indices and air pollution exposure dataset for all regions including rural and remote areas in Korea for 11 years. It is expected to provide a platform for the researchers studying the health impact of air pollution and climate change on the representative population and area, which may facilitate the establishment of local health care plans by understanding the residents’ health status at the local as well as national level.
Summary
Korean summary
-2007년부터 2017년까지 11년간 국민건강영양조사의 검진조사 대상자의 검진일자와 지리정보를 기준으로 85,018명에 대해 기상 및 대기오염 모델링 자료를 결합하여 조사 대상자의 거주지주소를 이용하여 시·군·구 단위와 주소 기반 위경도 좌표를 기준으로 각각 노출자료를 결합함. -대기오염의 단기노출, 중기노출, 장기노출의 건강영향을 평가하기 위해 지연효과(lag effect)를 적용하여 각 건강자료와 결합함. -기상 및 대기오염 모델링 자료와 연계된 국민건강영양조사의 활용을 위한 data profile을 제시함.
Key Message
-We built a dataset for air pollution research by combining meteorological and air pollution modeling data through CMAQ for 85,018 individuals based on the date of examination and geographic information of the Korea National Health and Nutrition Examination Survey participants for 11 years, from 2007 to 2017. -Each exposure data was combined based on si-gun-gu (city, county, and district) and geocode (in latitude and longitude coordinate units) based on the participants’ residential address. -To evaluate the health effects of short-, medium- and long-term air pollution exposure, the lag values of days, months, and years was applied and combined with each health data. -A data profile was presented for the Korea National Health and Nutrition Examination Survey linked to meteorological and air pollution modeling data.

Citations

Citations to this article as recorded by  
  • Joint effect of long-term exposure to ambient air pollution on the prevalence of chronic obstructive pulmonary disease using the Korea National Health and Nutrition Examination Survey 2010–2019
    Eunjin Kwon, Taiyue Jin, Young-Ah You, Byungmi Kim
    Chemosphere.2024; 358: 142137.     CrossRef
  • Associations between short-term exposure to air pollution and thyroid function in a representative sample of the Korean population
    Kyoung-Nam Kim, SoHyun Park, Junseo Choi, Il-Ung Hwang
    Environmental Research.2024; 252: 119018.     CrossRef
  • Association between short- and medium-term exposure to air pollutants and depressive episode using comprehensive air quality index among the population in South Korea
    Yohwan Lim, Yunseo Choi, Eunseok Kang, Yeojin Jeong, Jihyeon Park, Hyun Wook Han
    Journal of Affective Disorders.2024; 356: 307.     CrossRef
  • Association between ambient particulate matter levels and hypertension: results from the Korean Genome and Epidemiology Study
    Sewhan Na, Jong-Tae Park, Seungbeom Kim, Jinwoo Han, Saemi Jung, Kyeongmin Kwak
    Annals of Occupational and Environmental Medicine.2023;[Epub]     CrossRef
  • Effect of Short- to Long-Term Exposure to Ambient Particulate Matter on Cognitive Function in a Cohort of Middle-Aged and Older Adults: KoGES
    Jane J. Lee, Ji Hyun Kim, Dae Sub Song, Kyoungho Lee
    International Journal of Environmental Research and Public Health.2022; 19(16): 9913.     CrossRef
  • Long-Term Effects of Ambient Particulate and Gaseous Pollutants on Serum High-Sensitivity C-Reactive Protein Levels: A Cross-Sectional Study Using KoGES-HEXA Data
    Ji Hyun Kim, Hae Dong Woo, Sunho Choi, Dae Sub Song, Jung Hyun Lee, Kyoungho Lee
    International Journal of Environmental Research and Public Health.2022; 19(18): 11585.     CrossRef
  • Effects of exposure to ambient air pollution on pulmonary function impairment in Korea: the 2007-2017 Korea National Health and Nutritional Examination Survey
    Soo Beom Choi, Sungha Yun, Sun-Ja Kim, Yong Bum Park, Kyungwon Oh
    Epidemiology and Health.2021; 43: e2021082.     CrossRef
Ambient air quality and subjective stress level using Community Health Survey data in Korea
Myung-Jae Hwang, Hae-Kwan Cheong, Jong-Hun Kim, Youn Seo Koo, Hui-Young Yun
Epidemiol Health. 2018;40:e2018028.   Published online June 28, 2018
DOI: https://doi.org/10.4178/epih.e2018028
  • 12,999 View
  • 209 Download
  • 8 Web of Science
  • 9 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
Air pollution causes various disease in exposed populations, and can lead to premorbid health effects manifested as both physical and psychological functional impairment. The present study investigated the subjective stress level in daily life in relation to the level of air pollution.
METHODS
Data from the Community Health Survey (2013), comprising 99,162 men, and 121,273 women residing in 253 healthcare administrative districts, were combined with air pollutant concentration modelling data from the Korean Air Quality Forecasting System, and were stratified by subjective stress levels into five strata for multiple logistic regression. Levels of exposure were divided into five quintiles according to the annual concentration of nitrogen dioxide (NO2), and were analyzed using a single-pollutant model using NO2 concentration only, and a multi-pollutant model adjusted for the concentration of particulate matter <10 μm in diameter.
RESULTS
Analysis of men and women in various age groups showed the highest odds ratio (OR) for subjective stress level at the highest NO2 concentration quintile in men and women aged 30–64 years (men: 2.91; 95% confidence interval [CI], 2.12 to 4.01; women: 1.82; 95% CI, 1.32 to 2.51). As the NO2 concentration quintile increased, the OR increased. Men showed higher ORs than women in all strata.
CONCLUSIONS
In the present study, annual NO2 concentrations were found to be associated with subjective stress levels. This association was especially clear among socioeconomically active men and women aged 30-64 years.
Summary
Korean summary
2013년 지역사회건강조사를 이용하여 253개 보건행정지역단위로 Korean Air Quality Forecasting System (KAQFS) 대기물질농도 모델링자료를 결합하여 주관적 스트레스 정도에 따라 5분위로 범주화하여 다항로지스틱회귀을 하였다. 본 연구에서는 연평균 NO2농도와 주관적 스트레스 정도가 관련이 있는 것으로 나타났다. 특히, 사회 경제적 활동이 활발한30세 이상 65세 미만의 남성과 여성에서 관련성이 뚜렷하게 나타났다.

Citations

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    Jiyoung Shin, Juha Baek, Sumi Chae
    Journal of Climate Change Research.2023; 14(6-2): 989.     CrossRef
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  • The impact of black carbon (BC) on mode-specific galvanic skin response (GSR) as a measure of stress in urban environments
    Xiuleng Yang, Juan Pablo Orjuela, Emma McCoy, Guillem Vich, Esther Anaya-Boig, Ione Avila-Palencia, Christian Brand, Glòria Carrasco-Turigas, Evi Dons, Regine Gerike, Thomas Götschi, Mark Nieuwenhuijsen, Luc Int Panis, Arnout Standaert, Audrey de Nazelle
    Environmental Research.2022; 214: 114083.     CrossRef
  • Effects of ambient air pollution on psychological stress and anxiety disorder: a systematic review and meta-analysis of epidemiological evidence
    Tanwi Trushna, Vikas Dhiman, Dharma Raj, Rajnarayan R. Tiwari
    Reviews on Environmental Health.2021; 36(4): 501.     CrossRef
  • Green space, air pollution, traffic noise and saliva cortisol in children
    Lizan D. Bloemsma, Alet H. Wijga, Jochem O. Klompmaker, Gerard Hoek, Nicole A. H. Janssen, Marieke Oldenwening, Gerard H. Koppelman, Erik Lebret, Bert Brunekreef, Ulrike Gehring
    Environmental Epidemiology.2021; 5(2): e141.     CrossRef
  • Effects of exposure to ambient air pollution on pulmonary function impairment in Korea: the 2007-2017 Korea National Health and Nutritional Examination Survey
    Soo Beom Choi, Sungha Yun, Sun-Ja Kim, Yong Bum Park, Kyungwon Oh
    Epidemiology and Health.2021; 43: e2021082.     CrossRef
  • Impacts of ambient air pollution on glucose metabolism in Korean adults: a Korea National Health and Nutrition Examination Survey study
    Myung-Jae Hwang, Jong-Hun Kim, Youn-Seo Koo, Hui-Young Yun, Hae-Kwan Cheong
    Environmental Health.2020;[Epub]     CrossRef
  • A Development of PM Concentration Reanalysis Method using CMAQ with Surface Data Assimilation and MAIAC AOD in Korea
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    Journal of Korean Society for Atmospheric Environment.2020; 36(4): 558.     CrossRef
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    Myung-Jae Hwang, Jong-Hun Kim, Hae-Kwan Cheong
    International Journal of Environmental Research and Public Health.2020; 17(23): 9128.     CrossRef

Epidemiol Health : Epidemiology and Health