Evaluation of outbreak detection performance using multi-stream syndromic surveillance for influenza-like illness in rural Hubei Province, China

• Verfasst von: Fan, Yunzhou [VerfasserIn]
• Verfasst von: Dong, Hengjin [VerfasserIn]
• Titel: Evaluation of outbreak detection performance using multi-stream syndromic surveillance for influenza-like illness in rural Hubei Province, China
• Titelzusatz: a temporal simulation model based on healthcare-seeking behaviors
• Verf.angabe: Yunzhou Fan, Ying Wang, Hongbo Jiang, Wenwen Yang, Miao Yu, Weirong Yan, Vinod K. Diwan, Biao Xu, Hengjin Dong, Lars Palm, Shaofa Nie
• E-Jahr: 2014
• Jahr: November 19, 2014
• Fussnoten: Gesehen am 15.09.2020
• Titel Quelle: Enthalten in: PLOS ONE
• Ort Quelle: San Francisco, California, US : PLOS, 2006
• Jahr Quelle: 2014
• Band/Heft Quelle: 9(2014,11) Artikel-Nummer e112255, 13 Seiten
• ISSN Quelle: 1932-6203
• DOI: doi:10.1371/journal.pone.0112255
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1732490333

Abstract

Background: Syndromic surveillance promotes the early detection of diseases outbreaks. Although syndromic surveillance has increased in developing countries, performance on outbreak detection, particularly in cases of multi-stream surveillance, has scarcely been evaluated in rural areas. - Objective: This study introduces a temporal simulation model based on healthcare-seeking behaviors to evaluate the performance of multi-stream syndromic surveillance for influenza-like illness. - Methods: Data were obtained in six towns of rural Hubei Province, China, from April 2012 to June 2013. A SusceptibleExposed-Infectious-Recovered model generated 27 scenarios of simulated influenza A (H1N1) outbreaks, which were converted into corresponding simulated syndromic datasets through the healthcare-behaviors model. We then superimposed converted syndromic datasets onto the baselines obtained to create the testing datasets. Outbreak performance of single-stream surveillance of clinic visit, frequency of over the counter drug purchases, school absenteeism, and multi-stream surveillance of their combinations were evaluated using receiver operating characteristic curves and activity monitoring operation curves. - Results: In the six towns examined, clinic visit surveillance and school absenteeism surveillance exhibited superior performances of outbreak detection than over the counter drug purchase frequency surveillance; the performance of multistream surveillance was preferable to signal-stream surveillance, particularly at low specificity (Sp ,90%). - Conclusions: The temporal simulation model based on healthcare-seeking behaviors offers an accessible method for evaluating the performance of multi-stream surveillance.