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Outbreak detection and evaluation of a school-based influenza-like-illness syndromic surveillance in Tianjin, China

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  • Wenti Xu
  • Tianmu Chen
  • Xiaochun Dong
  • Mei Kong
  • Xiuzhi Lv
  • Lin Li

Abstract

School-based influenza-like-illness (ILI) syndromic surveillance can be an important part of influenza community surveillance by providing early warnings for outbreaks and leading to a fast response. From September 2012 to December 2014, syndromic surveillance of ILI was carried out in 4 county-level schools. The cumulative sum methods(CUSUM) was used to detect abnormal signals. A susceptible-exposed-infectious/asymptomatic-recovered (SEIAR) model was fit to the influenza outbreak without control measures and compared with the actual influenza outbreak to evaluate the effectiveness of early control efforts. The ILI incidence rates in 2014 (14.51%) was higher than the incidence in 2013 (5.27%) and 2012 (3.59%). Ten school influenza outbreaks were detected by CUSUM. Each outbreak had high transmissibility with a median Runc of 4.62. The interventions in each outbreak had high effectiveness and all Rcon were 0. The early intervention had high effectiveness within the school-based ILI syndromic surveillance. Syndromic surveillance within schools can play an important role in controlling influenza outbreaks.

Suggested Citation

  • Wenti Xu & Tianmu Chen & Xiaochun Dong & Mei Kong & Xiuzhi Lv & Lin Li, 2017. "Outbreak detection and evaluation of a school-based influenza-like-illness syndromic surveillance in Tianjin, China," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-10, September.
    • Handle: RePEc:plo:pone00:0184527
    DOI: 10.1371/journal.pone.0184527
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    References listed on IDEAS

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    1. Tianmu Chen & Ross Ka-kit Leung & Zi Zhou & Ruchun Liu & Xixing Zhang & Lijie Zhang, 2014. "Investigation of Key Interventions for Shigellosis Outbreak Control in China," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-9, April.
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    Cited by:

    1. Yuan Jiang & Ye-qing Tong & Bin Fang & Wen-kang Zhang & Xue-jie Yu, 2022. "Applying the Moving Epidemic Method to Establish the Influenza Epidemic Thresholds and Intensity Levels for Age-Specific Groups in Hubei Province, China," IJERPH, MDPI, vol. 19(3), pages 1-16, February.
    2. Haocheng Wu & Chen Wu & Qinbao Lu & Zheyuan Ding & Ming Xue & Junfen Lin, 2019. "Evaluating the effects of control interventions and estimating the inapparent infections for dengue outbreak in Hangzhou, China," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-16, August.

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