Abstract
- The Korea Centers for Disease Control and Prevention (KCDC) operate infectious disease surveillance systems to monitor national disease incidence. Since 1954, Korea has collected data on various infectious diseases in accordance with the Infectious Disease Control and Prevention Act. All physicians (including those working in Oriental medicine) who diagnose a patient with an infectious disease or conduct a postmortem examination of an infectious disease case are obliged to report the disease to the system. These reported data are incorporated into the database of the National Infectious Disease Surveillance System, which has been providing web-based real-time surveillance data on infectious diseases since 2001. In addition, the KCDC analyzes reported data and publishes the Infectious Disease Surveillance Yearbook annually.
-
Keywords: National notifiable diseases; Infectious disease; Surveillance data; Mandatory surveillance system; Sentinel surveillance system
INTRODUCTION
- In general, national notifiable infectious diseases are those that cause severe infections with poor prognoses; are highly contagious and can be prevented with appropriate quarantine, vaccination, or chemical therapy; or require management and control by conducting research. The designation of a notifiable disease is multi factorial. As a result, there are numerous discrepancies in the definition of these diseases across various countries. The incidence of infectious diseases and issues related to these diseases change with time; therefore, frequent updates to relevant information are required. The purpose of designating national notifiable infectious diseases is to protect the public from the threat of infectious diseases by effectively controlling the disease using an accurate and sensitive surveillance system and by appropriately allocating the available resources.
- The incidence of national notifiable infectious diseases is calculated using data reported by medical providers (Western and Oriental medical doctors) to health institutions in accordance with the Infectious Disease Control and Prevention Act [1]. Physicians working at clinics or hospitals report cases of infectious disease to their regional health center. These data are reviewed by local health authorities and transferred to the Korea Centers for Disease Control and Prevention (KCDC). After final confirmation from the KCDC, a report of these national statistics is published. According to the diagnosis and reporting standards in the “case definitions for national notifiable infectious diseases [2],” cases with an infectious disease are classified as three groups; an infectious disease patient (pathogen identifier), a patient with a suspected infection (unidentified pathogen carrier), or a pathogen carrier. The scope of each infectious disease report varies depending on the disease characteristics.
- The Mandatory Surveillance System requires obligatory reporting on infectious diseases ‘without delay’ to a district health center. In comparison, the Sentinel Surveillance System receives the report on weekly from the designated sites. In addition, the Complementary Sentinel Surveillance System consists of a school-based infectious disease surveillance program and ocular infectious disease surveillance program.
- Since the start of the surveillance system, many changes to the computer system structure have made. In the early stages of the construction of the surveillance system, a client-server based method between health institutions was the main way of data collection. However, from January 18, 2007, the reporting method using paper-based assessment was converted to a computer-based assessment. This computerized disease surveillance system was more efficient, flexible, and convenient than the paper-based assessment. In 2009, an internet-based reporting system was developed for use in clinics and hospitals. This system allowed for near real-time assessments the incidence of infectious diseases nationwide as well as quick data collection and a rapid response. From May 18, 2007, a web statistics system on infectious disease (http://stat.cdc.go.kr) was established. These efforts improved public accessibility to system data. In 2011, this website was updated as the infectious disease web-statistics system (http://is.cdc.go.kr/nstat/index.jsp) and it provides data on 54 infectious diseases that are mandatorily reported. In addition, the Infectious Disease Surveillance Yearbook, which organizes and analyzes the overall incidence of national notifiable infectious diseases, is published and distributed annually [3]. Reported infectious disease surveillance data since 1954 which is based on the Infectious Disease Control and Prevention Act is presented in Table 1.
DATA ACCESSIBILITY
- The Disease Web Statistics System (http://is.cdc.go.kr/nstat/index.jsp) provides real-time data on 54 national notifiable infectious diseases specified by area, sex, age, infected region, and period. Moreover, it is possible to compare the current weekly incidence to that of the previous year. These data can be presented as tables or figures, and downloaded as a spreadsheet.
KEY FINDINGS AND PUBLICATIONS
- The Sentinel Surveillance System monitors 24 of the 78 national notifiable infectious diseases. The KCDC uses these data to estimate the trends and patterns of some infectious diseases. The data only consists of the number of reported cases at each sentinel site and does not contain detailed information of each individual case; therefore, the national incidence of sentinel infectious diseases is difficult to estimate using the sentinel surveillance data. The main purpose of this data is to determine trends and patterns of infectious diseases.
- For example, one study used these sentinel surveillance data to analyze influenza cases and hospitalizations of severe pneumonia nationwide [4]. This analysis used the sentinel surveillance data on sentinel influenza sites from 2005 to 2010 as well as national health insurance claims data from the Health Insurance Review and Assessment Service (influenza diagnostic codes J09-J11). In addition, the number of influenza patients per month, the total numbers of out-patients, and the total numbers of hospital visits were extracted for analysis. With these data, an estimation model was created (Figure 1) [4].
- In this paper, the number of influenza patients in Seoul on November 2009 was estimated using this formula; final number of patients=constant + C1×(estimated number of patients ×W3)+C2×(year-2004). Minor differences between the estimated value based on the model and the health insurance claims data were found.
STRENGTHS AND WEAKNESSES
- The reporting of national notifiable diseases is standardized and provides up-to-date information including diagnostics and the epidemiological characteristics of each infectious disease. Moreover, these data are distributed to healthcare sites regularly. However, the reporting of national notifiable infectious diseases in South Korea relies on the passive reporting of healthcare workers. Thus, the reporting rate is relatively low. Nevertheless, the number of patients with an infectious disease can be estimated using existing data. The KCDC not only seeks to encourage the reporting of infectious diseases that present at healthcare sites but also continues to develop ways to improve the current systems using multidimensional approaches, not limited to passive reporting.
NOTES
-
The authors have no conflicts of interest to declare for this study.
SUPPLEMENTARY MATERIAL
Supplementary material is available at http://www.e-epih.org/.
Figure 1.
Procedure of model development to calculate influenza incidence. KCDC, Korea Centers for Disease Control and Prevention; a is constant, B1, B2, B3, C1, C2, and C3 are coefficients from this regression model.
From Roh YK. Modeling the national pandemic influenza cases and inpatients of pneumonia in Korea. Osong: Korea Centers for Disease Control and Prevention; 2011 [4].
Table 1.Reported cases of national infectious diseases in South Korea, 1954-2013
Disease |
1954-1959 |
1960-1969 |
1970-1979 |
1980-1989 |
1990-1999 |
2000-2009 |
2010-2013 |
Total |
Cholera |
0 |
1,972 |
206 |
145 |
196 |
210 |
14 |
2,743 |
Typhoid fever |
5,398 |
40,790 |
13,018 |
2,481 |
3,012 |
2,198 |
566 |
67,463 |
Paratyphoid fever |
193 |
440 |
64 |
172 |
164 |
795 |
223 |
2,051 |
Shigellosis |
1,004 |
2,705 |
1,703 |
534 |
3,368 |
6,986 |
783 |
17,083 |
Enterohemorrhagic Escherichia coli
|
- |
- |
- |
- |
- |
431 |
246 |
677 |
Viral hepatitis A |
- |
- |
- |
- |
- |
- |
7,585 |
7,585 |
Pertussis |
75,941 |
75,002 |
18,187 |
8,381 |
444 |
186 |
390 |
178,531 |
Tetanus |
0 |
0 |
6 |
53 |
12 |
109 |
72 |
252 |
Measles |
67,901 |
116,435 |
48,877 |
26,075 |
13,327 |
56,061 |
266 |
328,942 |
Mumps |
25,314 |
32,945 |
15,186 |
10,483 |
13,084 |
28,099 |
36,747 |
161,858 |
Rubella |
- |
- |
- |
- |
- |
413 |
142 |
555 |
Japanese encephalitis |
11,763 |
14,587 |
862 |
1,641 |
18 |
33 |
63 |
28,967 |
Varicella |
- |
- |
- |
- |
- |
81,291 |
125,773 |
207,064 |
Malaria |
- |
8,497 |
35,689 |
0 |
9,765 |
18,576 |
3,585 |
76,112 |
Hansen’s disease |
- |
1,891 |
10,952 |
2,881 |
1,166 |
423 |
25 |
17,338 |
Scarlet fever |
19 |
37 |
170 |
1,808 |
1,210 |
977 |
5,158 |
9,360 |
Meningococcal meningitis |
116 |
157 |
36 |
81 |
40 |
114 |
29 |
457 |
Legionellosis |
- |
- |
- |
- |
- |
106 |
104 |
210 |
Vibrio vulnificus sepsis |
- |
- |
- |
- |
- |
536 |
244 |
780 |
Murine typhus |
- |
0 |
4 |
4 |
136 |
378 |
137 |
659 |
Scrub typhus |
- |
- |
- |
- |
3,534 |
42,761 |
29,791 |
76,086 |
Leptospirosis |
- |
- |
- |
596 |
432 |
1,193 |
193 |
2,414 |
Brucellosis |
- |
- |
- |
- |
- |
620 |
83 |
703 |
Rabies |
- |
268 |
28 |
2 |
1 |
5 |
0 |
304 |
Hemorrhagic fever with renal syndrome |
- |
- |
349 |
450 |
1,230 |
3,683 |
1,734 |
7,446 |
Primary/secondary/congenital syphilis |
- |
- |
- |
- |
- |
- |
2,551 |
2,551 |
Creutzfeldt-Jakob disease |
- |
- |
- |
- |
- |
- |
108 |
108 |
Dengue fever |
- |
- |
- |
- |
- |
321 |
598 |
919 |
Q fever |
- |
- |
- |
- |
- |
51 |
42 |
93 |
West Nile fever |
- |
- |
- |
- |
- |
- |
1 |
1 |
Lyme borreliosis |
- |
- |
- |
- |
- |
- |
16 |
16 |
Melioidosis |
- |
- |
- |
- |
- |
- |
3 |
3 |
Chikungunya fever |
- |
- |
- |
- |
- |
- |
2 |
2 |
Sever fever with thrombocytopenia syndrome |
- |
- |
- |
- |
- |
- |
36 |
36 |
REFERENCES
- 1. Korea Ministry of Government Legislation. Infectious Disease Control and Prevention Act. [cited 2014 Nov 10]. Available from: http://law.go.kr/ (Korean).
- 2. Korea Ministry of Government Legislation. Case definitions for national notifiable infectious diseases. [cited 2014 Nov 10]. Available from: http://law.go.kr/ (Korean).
- 3. Korea Centers for Disease Control and Prevention(KCDC). 2013 Infectious diseases surveillance yearbook. Osong: KCDC; 2014. p 50-63 (Korean).
- 4. Roh YK. Modeling the national pandemic influenza cases and inpatients of pneumonia in Korea. Osong: Korea Centers for Disease Control and Prevention; 2011. (Korean).
Citations
Citations to this article as recorded by

- Incidence of Guillain–Barré syndrome in South Korea during the early COVID-19 pandemic
Sun Ah Choi, Junho Hwang, Byung Chan Lim, Soo Ahn Chae
Frontiers in Neurology.2023;[Epub] CrossRef - Trends in gastrointestinal infections before and during non-pharmaceutical interventions in Korea in comparison with the United States
Soyeoun Kim, Jinhyun Kim, Bo Youl Choi, Boyoung Park
Epidemiology and Health.2022; 44: e2022011. CrossRef - Characterization and Trend of Co-Infection withNeisseria gonorrhoeaeandChlamydia trachomatisfrom the Korean National Infectious Diseases Surveillance Database
Yumi Seo, Kyung-Hwa Choi, Gilho Lee
The World Journal of Men's Health.2021; 39(1): 107. CrossRef - Impact of social distancing on incidence of vaccine‐preventable diseases, South Korea
Hyo Eun Yun, Bo Young Ryu, Young June Choe
Journal of Medical Virology.2021; 93(3): 1814. CrossRef - Prediction for Global Peste des Petits Ruminants Outbreaks Based on a Combination of Random Forest Algorithms and Meteorological Data
Bing Niu, Ruirui Liang, Guangya Zhou, Qiang Zhang, Qiang Su, Xiaosheng Qu, Qin Chen
Frontiers in Veterinary Science.2021;[Epub] CrossRef - A systematic review of the burden of pertussis in South Korea
Bruce A. Mungall, Hyungwoo Kim, Kyu-Bin Oh
Human Vaccines & Immunotherapeutics.2021; 17(6): 1747. CrossRef - The Effect of Long-lasting Permethrin Impregnated Socks on Tick Bite in Korea
Mi Ah Han, Choon-Mee Kim, Na Ra Yun, Dong-Min Kim, Sun Mi Park, Hyoju Kim, Hwan Ho Shin
Journal of Korean Medical Science.2021;[Epub] CrossRef - Bordetella pertussis in School-Age Children, Adolescents, and Adults: A Systematic Review of Epidemiology, Burden, and Mortality in Asia
Denis Macina, Keith E. Evans
Infectious Diseases and Therapy.2021; 10(3): 1115. CrossRef - Syphilis Notification Systems in Korea over the Last 20 Years
Yumi Seo, Gilho Lee
Urogenital Tract Infection.2021; 16(1): 16. CrossRef - Infectious Respiratory Diseases Decreased during the COVID-19 Pandemic in South Korea
Da Hae Kim, Thi Mai Nguyen, Jin Hee Kim
International Journal of Environmental Research and Public Health.2021; 18(11): 6008. CrossRef - Molecular detection and identification of Culex flavivirus in mosquito species from Jeju, Republic of Korea
Shilpa Chatterjee, Choon-Mee Kim, Na Ra Yun, Dong-Min Kim, Hyeon Je Song, Kyeoung A Chung
Virology Journal.2021;[Epub] CrossRef - Predicting Regional Outbreaks of Hepatitis A Using 3D LSTM and Open Data in Korea
Kwangok Lee, Munkyu Lee, Inseop Na
Electronics.2021; 10(21): 2668. CrossRef - History and Epidemiology of Bacillary Dysentery in Korea: from Korean War to 2017
Hyunjoo Pai
Infection & Chemotherapy.2020; 52(1): 123. CrossRef - Coronavirus Disease-19: The First 7,755 Cases in the Republic of Korea
Osong Public Health and Research Perspectives.2020; 11(2): 85. CrossRef - Surveillance of Chigger Mite Vectors for Tsutsugamushi Disease in the Hwaseong Area, Gyeonggi-do, Republic of Korea, 2015
Young Yil Bahk, Hojong Jun, Seo Hye Park, Haneul Jung, Seung Jegal, Myung-Deok Kim-Jeon, Jong Yul Roh, Wook-Gyo Lee, Seong Kyu Ahn, Jinyoung Lee, Kwangsig Joo, Young Woo Gong, Mun Ju Kwon, Tong-Soo Kim
The Korean Journal of Parasitology.2020; 58(3): 301. CrossRef - Letter to the Editor: Epidemiological Comments on the Effectiveness of the Varicella Vaccine in Korea
BongKyoo Choi, Ji-hyeun Shin, Jee Eun Lee, Sangbaek Ko
Journal of Korean Medical Science.2020;[Epub] CrossRef - Protective effect of predator species richness on human hantavirus infection incidence
Kyung-Duk Min, Ho Kim, Seung-sik Hwang, Seongbeom Cho, Maria Cristina Schneider, Jusun Hwang, Sung-il Cho
Scientific Reports.2020;[Epub] CrossRef - Classification of Spatiotemporal Data for Epidemic Alert Systems: Monitoring Influenza-Like Illness in France
Pavel Polyakov, Cécile Souty, Pierre-Yves Böelle, Romulus Breban
American Journal of Epidemiology.2019; 188(4): 724. CrossRef - Epidemiological Impact of the Korean National Immunization Program on Varicella Incidence
Jaehun Jung, Young-Jin Ko, Young-Eun Kim, Kyungmin Huh, Byung-Joo Park, Seok-Jun Yoon
Journal of Korean Medical Science.2019;[Epub] CrossRef - Neonatal Pertussis, an Under-Recognized Health Burden and Rationale for Maternal Immunization: A Systematic Review of South and South-East Asian Countries
Ashish Agrawal, Sanjeev Singh, Shafi Kolhapure, Walid Kandeil, Rishma Pai, Tanu Singhal
Infectious Diseases and Therapy.2019; 8(2): 139. CrossRef - Incidence of Scarlet Fever in Children in Jeju Province, Korea, 2002-2016: An Age-period-cohort Analysis
Jinhee Kim, Ji-Eun Kim, Jong-Myon Bae
Journal of Preventive Medicine and Public Health.2019; 52(3): 188. CrossRef - Increasing varicella incidence rates among children in the Republic of Korea: an age–period–cohort analysis
Young Hwa Lee, Young June Choe, Sung-Il Cho, Ji Hwan Bang, Myoung-don Oh, Jong-Koo Lee
Epidemiology and Infection.2019;[Epub] CrossRef - Viral etiology of sporadic cases of parotitis among children in Korea during 2013-2014
Hae J. Kang, Sun H. Kim, Jae K. Chung, Soon W. Lee, Seung B. Choi, Hye E. Eom, Ok Park, Kisoon Kim, Sung S. Kim
Journal of Medical Virology.2018; 90(1): 61. CrossRef - Increasing Number of Scarlet Fever Cases, South Korea, 2011–2016
Jong-Hun Kim, Hae-Kwan Cheong
Emerging Infectious Diseases.2018; 24(1): 172. CrossRef - Hand Hygiene and Tuberculosis Risk in Korea: An Ecological Association
Mi Ah Han
Asia Pacific Journal of Public Health.2018; 30(1): 67. CrossRef - The Epidemiological Influence of Climatic Factors on Shigellosis Incidence Rates in Korea
Yeong-Jun Song, Hae-Kwan Cheong, Myung Ki, Ji-Yeon Shin, Seung-sik Hwang, Mira Park, Moran Ki, Jiseun Lim
International Journal of Environmental Research and Public Health.2018; 15(10): 2209. CrossRef - Increasing mumps incidence rates among children and adolescents in the Republic of Korea: age–period–cohort analysis
Young-June Choe, Young Hwa Lee, Sung-Il Cho
International Journal of Infectious Diseases.2017; 57: 92. CrossRef - Sexually Transmitted Infections and First Sexual Intercourse Age in Adolescents: The Nationwide Retrospective Cross-Sectional Study
Seo Yoon Lee, Hyo Jung Lee, Tae Kyoung Kim, Sang Gyu Lee, Eun-Cheol Park
The Journal of Sexual Medicine.2015; 12(12): 2313. CrossRef