{"title":"流行病对常规收集数据的影响建模","authors":"Xiaoming Zeng, M. Wagner","doi":"10.1197/JAMIA.M1219","DOIUrl":null,"url":null,"abstract":"The use of routinely collected data, such as absenteeism, to provide an early warning of an epidemic will depend on better understanding of the effects of epidemics on such data. We reviewed studies in behavioral medicine and health psychology in order to build a model relating known factors related to human health information and treatment seeking behavior and effects on routinely collected data. This review and modeling effort may be useful to researchers in early detection, simulation, and response policy analysis.","PeriodicalId":79712,"journal":{"name":"Proceedings. AMIA Symposium","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2002-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1197/JAMIA.M1219","citationCount":"32","resultStr":"{\"title\":\"Modeling the Effects of Epidemics on Routinely Collected Data\",\"authors\":\"Xiaoming Zeng, M. Wagner\",\"doi\":\"10.1197/JAMIA.M1219\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of routinely collected data, such as absenteeism, to provide an early warning of an epidemic will depend on better understanding of the effects of epidemics on such data. We reviewed studies in behavioral medicine and health psychology in order to build a model relating known factors related to human health information and treatment seeking behavior and effects on routinely collected data. This review and modeling effort may be useful to researchers in early detection, simulation, and response policy analysis.\",\"PeriodicalId\":79712,\"journal\":{\"name\":\"Proceedings. AMIA Symposium\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1197/JAMIA.M1219\",\"citationCount\":\"32\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. AMIA Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1197/JAMIA.M1219\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. AMIA Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1197/JAMIA.M1219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling the Effects of Epidemics on Routinely Collected Data
The use of routinely collected data, such as absenteeism, to provide an early warning of an epidemic will depend on better understanding of the effects of epidemics on such data. We reviewed studies in behavioral medicine and health psychology in order to build a model relating known factors related to human health information and treatment seeking behavior and effects on routinely collected data. This review and modeling effort may be useful to researchers in early detection, simulation, and response policy analysis.
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