Estimating the effectiveness of early control measures through school absenteeism surveillance in observed outbreaks at rural schools in Hubei, China.

<h4>Background</h4>School absenteeism is a common data source in syndromic surveillance, which allows for the detection of outbreaks at an early stage. Previous studies focused on its correlation with other data sources. In this study, we evaluated the effectiveness of control measures b...

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Main Authors: Yunzhou Fan, Mei Yang, Hongbo Jiang, Ying Wang, Wenwen Yang, Zhixia Zhang, Weirong Yan, Vinod K Diwan, Biao Xu, Hengjin Dong, Lars Palm, Li Liu, Shaofa Nie
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0106856
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spelling doaj-df199bd33e03431cbc80bd1df52d32232021-03-04T08:59:24ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0199e10685610.1371/journal.pone.0106856Estimating the effectiveness of early control measures through school absenteeism surveillance in observed outbreaks at rural schools in Hubei, China.Yunzhou FanMei YangHongbo JiangYing WangWenwen YangZhixia ZhangWeirong YanVinod K DiwanBiao XuHengjin DongLars PalmLi LiuShaofa Nie<h4>Background</h4>School absenteeism is a common data source in syndromic surveillance, which allows for the detection of outbreaks at an early stage. Previous studies focused on its correlation with other data sources. In this study, we evaluated the effectiveness of control measures based on early warning signals from school absenteeism surveillance in rural Chinese schools.<h4>Methods</h4>A school absenteeism surveillance system was established in all 17 primary schools in 3 adjacent towns in the Chinese region of Hubei. Three outbreaks (varicella, mumps, and influenza-like illness) were detected and controlled successfully from April 1, 2012, to January 15, 2014. An impulse susceptible-exposed-infectious-recovered model was used to fit the epidemics of these three outbreaks. Moreover, it simulated the potential epidemics under interventions resulting from traditional surveillance signals. The effectiveness of the absenteeism-based control measures was evaluated by comparing the simulated datasets.<h4>Results</h4>The school absenteeism system generated 52 signals. Three outbreaks were verified through epidemiological investigation. Compared to traditional surveillance, the school absenteeism system generated simultaneous signals for the varicella outbreak, but 3 days in advance for the mumps outbreak and 2-4 days in advance for the influenza-like illness outbreak. The estimated excess protection rates of control measures based on early signals were 0.0%, 19.0-44.1%, and 29.0-37.0% for the three outbreaks, respectively.<h4>Conclusions</h4>Although not all outbreak control measures can benefit from early signals through school absenteeism surveillance, the effectiveness of early signal-based interventions is obvious. School absenteeism surveillance plays an important role in reducing outbreak spread.https://doi.org/10.1371/journal.pone.0106856
collection DOAJ
language English
format Article
sources DOAJ
author Yunzhou Fan
Mei Yang
Hongbo Jiang
Ying Wang
Wenwen Yang
Zhixia Zhang
Weirong Yan
Vinod K Diwan
Biao Xu
Hengjin Dong
Lars Palm
Li Liu
Shaofa Nie
spellingShingle Yunzhou Fan
Mei Yang
Hongbo Jiang
Ying Wang
Wenwen Yang
Zhixia Zhang
Weirong Yan
Vinod K Diwan
Biao Xu
Hengjin Dong
Lars Palm
Li Liu
Shaofa Nie
Estimating the effectiveness of early control measures through school absenteeism surveillance in observed outbreaks at rural schools in Hubei, China.
PLoS ONE
author_facet Yunzhou Fan
Mei Yang
Hongbo Jiang
Ying Wang
Wenwen Yang
Zhixia Zhang
Weirong Yan
Vinod K Diwan
Biao Xu
Hengjin Dong
Lars Palm
Li Liu
Shaofa Nie
author_sort Yunzhou Fan
title Estimating the effectiveness of early control measures through school absenteeism surveillance in observed outbreaks at rural schools in Hubei, China.
title_short Estimating the effectiveness of early control measures through school absenteeism surveillance in observed outbreaks at rural schools in Hubei, China.
title_full Estimating the effectiveness of early control measures through school absenteeism surveillance in observed outbreaks at rural schools in Hubei, China.
title_fullStr Estimating the effectiveness of early control measures through school absenteeism surveillance in observed outbreaks at rural schools in Hubei, China.
title_full_unstemmed Estimating the effectiveness of early control measures through school absenteeism surveillance in observed outbreaks at rural schools in Hubei, China.
title_sort estimating the effectiveness of early control measures through school absenteeism surveillance in observed outbreaks at rural schools in hubei, china.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description <h4>Background</h4>School absenteeism is a common data source in syndromic surveillance, which allows for the detection of outbreaks at an early stage. Previous studies focused on its correlation with other data sources. In this study, we evaluated the effectiveness of control measures based on early warning signals from school absenteeism surveillance in rural Chinese schools.<h4>Methods</h4>A school absenteeism surveillance system was established in all 17 primary schools in 3 adjacent towns in the Chinese region of Hubei. Three outbreaks (varicella, mumps, and influenza-like illness) were detected and controlled successfully from April 1, 2012, to January 15, 2014. An impulse susceptible-exposed-infectious-recovered model was used to fit the epidemics of these three outbreaks. Moreover, it simulated the potential epidemics under interventions resulting from traditional surveillance signals. The effectiveness of the absenteeism-based control measures was evaluated by comparing the simulated datasets.<h4>Results</h4>The school absenteeism system generated 52 signals. Three outbreaks were verified through epidemiological investigation. Compared to traditional surveillance, the school absenteeism system generated simultaneous signals for the varicella outbreak, but 3 days in advance for the mumps outbreak and 2-4 days in advance for the influenza-like illness outbreak. The estimated excess protection rates of control measures based on early signals were 0.0%, 19.0-44.1%, and 29.0-37.0% for the three outbreaks, respectively.<h4>Conclusions</h4>Although not all outbreak control measures can benefit from early signals through school absenteeism surveillance, the effectiveness of early signal-based interventions is obvious. School absenteeism surveillance plays an important role in reducing outbreak spread.
url https://doi.org/10.1371/journal.pone.0106856
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