Balancing timeliness of reporting with increasing testing probability for epidemic data

作     者：Alexander J.Pritchard Matthew J.Silk Simon Carrignon R.Alexander Bentley Nina H.Fefferman 

作者机构：NIMBioSNational Institute for Mathematical and Biological SynthesisUniversity of TennesseeKnoxvilleUSA Centre for Ecology and ConservationUniversity of Exeter Penryn CampusUK Department of AnthropologyUniversity of TennesseeKnoxvilleUSA McDonald Institute for Archaeological ResearchUniversity of CambridgeUK Ecology and Evolutionary BiologyUniversity of TennesseeKnoxvilleUSA Department of MathematicsUniversity of TennesseeKnoxvilleUSA 

出 版 物：《Infectious Disease Modelling》 (传染病建模（英文）)

年 卷 期：2022年第7卷第2期

页      面：106-116页

学科分类：1004[医学-公共卫生与预防医学(可授医学、理学学位)] 100401[医学-流行病与卫生统计学] 10[医学] 

基　　金：supported by the National Science Foundation DEB#2028710 

主　　题：Behavioral science Communicable diseases Disease outbreaks Disease reporting Surveillance 

摘      要：Reporting of epidemiological data requires coordinated action by numerous agencies,across a multitude of logistical *** collated and reported information to inform direct interventions can be challenging due to associated *** can,however,occur indirectly through the public generation of concern,which facilitates adherence to protective *** utilized a coupled-dynamic multiplex network model with a communication-and disease-layer to examine how variation in reporting delay and testing probability are likely to impact adherence to protective behaviors,such as reducing physical *** concern mediated adherence and was informed by new-or active-case reporting,at the population-or *** received information from the communication layer:direct connections that were sick or adherent to protective behaviors increased their concern,but absence of illness eroded *** revealed that the relative benefit of timely reporting and a high probability of testing was contingent on how much information was already *** low rates of testing,increasing testing probability was of greater mitigating *** high rates of testing,maximizing timeliness was of greater ***-level reporting provided advanced warning of disease risk from nearby communities;but we explore the relative costs and benefits of delays due to scale against the assumption that people may prioritize community-level *** findings emphasize the interaction of testing accuracy and reporting timeliness for the indirect mitigation of disease in a complex social system.