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

被引:0
|
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
  • [31] Influenza-like illness sentinel surveillance in one hospital in Medellin, Colombia. 2007-2012
    Eugenia Arango, Ana
    Jaramillo, Sergio
    Perez, Juan
    Ampuero, Julia S.
    Espinal, David
    Donado, Jorge
    Felices, Vidal
    Garcia, Josefina
    Laguna-Torres, Alberto
    [J]. INFLUENZA AND OTHER RESPIRATORY VIRUSES, 2015, 9 (01) : 1 - 13
  • [32] Age- and Influenza Activity-Stratified Case Definitions of Influenza-Like Illness: Experience from Hospital-Based Influenza Surveillance in South Korea
    Yang, Tae Un
    Cheong, Hee Jin
    Song, Joon Young
    Lee, Jin Soo
    Wie, Seong-Heon
    Kim, Young Keun
    Choi, Won Suk
    Lee, Jacob
    Jeong, Hye Won
    Kim, Woo Joo
    [J]. PLOS ONE, 2014, 9 (01):
  • [33] Assessment of the influenza-like illness virologic surveillance in the Philippines, 2018
    Manalili, D. L.
    de Guzman, A.
    de Los Reyes, V. C.
    Sucaldito, M. N.
    [J]. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2020, 101 : 352 - 352
  • [34] Evaluation of Electronic Ambulatory Care Data for Influenza-Like Illness Surveillance, Washington State
    Stigi, Kathleen
    Baer, Atar
    Duchin, Jeffrey S.
    Lofy, Kathy
    [J]. JOURNAL OF PUBLIC HEALTH MANAGEMENT AND PRACTICE, 2014, 20 (06): : 580 - 582
  • [35] Surveillance and characterisation of influenza among patients with influenza-like illness in Bali, Indonesia
    Rudge, J.
    Budayanti, N. S.
    Adisasmito, W.
    Smith, G.
    Handayani, L.
    Prashinta, M.
    Aisyah, D. N.
    Subrata, K.
    Sutedja, I. N.
    Coker, R.
    [J]. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2012, 16 : E14 - E14
  • [36] 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.
    [J]. VACCINE, 2013, 31 (40) : 4368 - 4374
  • [37] An evaluation of the Zambia influenza sentinel surveillance system, 2011-2017
    Simusika, Paul
    Tempia, Stefano
    Chentulo, Edward
    Polansky, Lauren
    Mazaba, Mazyanga Lucy
    Ndumba, Idah
    Mbewe, Quinn K.
    Monze, Mwaka
    [J]. BMC HEALTH SERVICES RESEARCH, 2020, 20 (01)
  • [38] 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
    [J]. PLOS ONE, 2014, 9 (05):
  • [39] 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
    [J]. JOURNAL OF CLINICAL VIROLOGY, 2004, 31 (01) : 40 - 45
  • [40] Enabling Near Real-time Surveillance of Influenza-like Illness
    Adnan, Mehnaz
    Waite, Ben
    Dean, Richard
    Newbern, Claire
    Wood, Tim
    Campbell, Raewyn
    Poonawala-Lohani, Nooriyan
    [J]. PROCEEDINGS OF THE AUSTRALASIAN COMPUTER SCIENCE WEEK MULTICONFERENCE (ACSW 2020), 2020,