Evaluation of an influenza-like illness sentinel surveillance system in South Korea, 2017-2023

被引:3
|
作者
Kim, Bryan Inho [1 ]
Cho, Seonghui [2 ]
Achangwa, Chiara [2 ]
Kim, Yumi [1 ]
Cowling, Benjamin J. [3 ]
Ryu, Sukhyun [2 ]
机构
[1] Korea Dis Control & Prevent Agcy, Div Infect Dis Control, Cheongju, South Korea
[2] Catholic Univ Korea, Coll Med, Dept Prevent Med, R6117,Banpo Daero 222, Seoul, South Korea
[3] Univ Hong Kong, Li Ka Shing Fac Med, World Hlth Org Collaborating Ctr Infect Dis Epidem, Sch Publ Hlth, Hong Kong, Peoples R China
基金
新加坡国家研究基金会;
关键词
Influenza; Respiratory virus; Surveillance; Evaluation; Sentinel; CARE;
D O I
10.1016/j.jiph.2024.102515
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Guided by the data from the surveillance system, public health efforts have contributed to reducing the burden of influenza in many countries. During the COVID-19 pandemic, many surveillance resources were directed at tracking the severe acute respiratory syndrome-Coronavirus 2. However, most countries have not reported surveillance evaluations during the COVID-19 pandemic. Methods: Using the U.S. CDC surveillance evaluation method, we evaluated the influenza-like illness (ILI) sentinel surveillance performance in South Korea between January 2017 and September 2023. For the timeliness, we measured the mean time lag between the reports from the sentinel sites to the Korea Disease Control and Prevention Agency (KDCA) and surveillance result dissemination from KDCA. For the completeness, we measured the submission rate of complete reports per overall number of reports from each sentinel site to the KDCA. For the sensitivity, we calculated the correlation coefficient between the monthly number of ILI reports and the patients with ILI from the Korea national reimbursement data by either Pearson's or Spearman's test. For the representativeness, we compared the age-specific distribution of ILI between the surveillance data and the national reimbursement data using a chi-squared test. Results: We found that the surveillance performance of timeliness (less than 2 weeks) and completeness (97 %-98 %) was stable during the study period. However, we found a reduced surveillance sensitivity (correlation coefficient: 0.73 in 2020, and 0.84 in 2021) compared to that of 2017-2019 (0.96-0.99), and it recovered in 2022-2023 (0.93-0.97). We found no statistical difference across the proportion of age groups between the surveillance and reimbursement data during the study period (all P-values > 0.05). Conclusions: Ongoing surveillance performance monitoring is necessary to maintain efficient policy decision-making for the control of the influenza epidemic. Additional research is needed to assess the overall influenza surveillance system including laboratory and hospital-based surveillance in the country.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] MoSAIC: Mobile Surveillance for Acute Respiratory Infections and Influenza-Like Illness in the Community
    Stockwell, Melissa S.
    Reed, Carrie
    Vargas, Celibell Y.
    Camargo, Stewin
    Garretson, Aaron F.
    Alba, Luis R.
    LaRussa, Philip
    Finelli, Lyn
    Larson, Elaine L.
    Saiman, Lisa
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2014, 180 (12) : 1196 - 1201
  • [22] National surveillance for influenza and influenza-like illness in Vietnam, 2006-2010
    Nguyen, Yen T.
    Graitcer, Samuel B.
    Nguyen, Tuan H.
    Tran, Duong N.
    Pham, Tho D.
    Le, Mai T. Q.
    Tran, Huu N.
    Bui, Chien T.
    Dang, Dat T.
    Nguyen, Long T.
    Uyeki, Timothy M.
    Dennis, David
    Kile, James C.
    Kapella, Bryan K.
    Iuliano, A. D.
    Widdowson, Marc-Alain
    Nguyen, Hien T.
    VACCINE, 2013, 31 (40) : 4368 - 4374
  • [23] Evaluation of the 2017/18 Influenza Epidemic Season in Poland Based on the SENTINEL Surveillance System
    Luniewska, K.
    Szymanski, K.
    Hallmann-Szelinska, E.
    Kowalczyk, D.
    Salamatin, R.
    Masny, A.
    Brydak, L. B.
    PULMONOLOGY, 2019, 1222 : 63 - 68
  • [24] Evaluation of an Internet-Based Monitoring System for Influenza-Like Illness in Sweden
    Rehn, Moa
    Carnahan, AnnaSara
    Merk, Hanna
    Kuhlmann-Berenzon, Sharon
    Galanis, Ilias
    Linde, Annika
    Nyren, Olof
    PLOS ONE, 2014, 9 (05):
  • [25] Virological surveillance of influenza-like illness in the community using PCR and serology
    Wallace, LA
    Collins, TC
    Douglas, JDM
    McIntyre, S
    Millar, J
    Carman, WF
    JOURNAL OF CLINICAL VIROLOGY, 2004, 31 (01) : 40 - 45
  • [26] Influenza-like illness in Australia: A comparison of general practice surveillance system with electronic medical records
    Bernardo, Carla De Oliveira
    Gonzalez-Chica, David Alejandro
    Chilver, Monique
    Stocks, Nigel
    INFLUENZA AND OTHER RESPIRATORY VIRUSES, 2020, 14 (06) : 605 - 609
  • [27] Five years of hospital based surveillance of influenza-like illness and influenza in a short-stay geriatric unit
    Régis C.
    Voirin N.
    Escuret V.
    Kim B.-A.
    Robert O.
    Lina B.
    Comte B.
    Vanhems P.
    BMC Research Notes, 7 (1)
  • [28] Evaluation of mechanistic and statistical methods in forecasting influenza-like illness
    Kandula, Sasikiran
    Yamana, Teresa
    Pei, Sen
    Yang, Wan
    Morita, Haruka
    Shaman, Jeffrey
    JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2018, 15 (144)
  • [29] Monitoring School Absenteeism for Influenza-Like Illness Surveillance: Systematic Review and Meta-analysis
    Tsang, Tim K.
    Huang, Xiaotong
    Guo, Yiyang
    Lau, Eric H. Y.
    Cowling, Benjamin J.
    Ip, Dennis K. M.
    JMIR PUBLIC HEALTH AND SURVEILLANCE, 2023, 9
  • [30] Hospital-based influenza morbidity and mortality surveillance system for influenza-like illnesses: a comparison with national influenza surveillance systems
    Seo, Yu Bin
    Song, Joon Young
    Cheong, Hee Jin
    Cho, Young Duck
    Wie, Seong-Heon
    Jeong, Hye Won
    Kim, Woo Joo
    INFLUENZA AND OTHER RESPIRATORY VIRUSES, 2014, 8 (01) : 17 - 20