{"title":"使用多州生命表模型改善人口健康。","authors":"M. Roberts, M. Tobias","doi":"10.1093/IMAMMB/18.2.119","DOIUrl":null,"url":null,"abstract":"We demonstrate how incidence, prevalence, remission, mortality (IPRM) models may be constructed on population life-tables, how the incidence of a condition may be calculated, and how the consequences of demographic changes and public health interventions may be predicted. We illustrate the methodology by applying it to the epidemiology of diabetes, physical inactivity and obesity in New Zealand.","PeriodicalId":77168,"journal":{"name":"IMA journal of mathematics applied in medicine and biology","volume":"18 2 1","pages":"119-30"},"PeriodicalIF":0.0000,"publicationDate":"2001-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/IMAMMB/18.2.119","citationCount":"9","resultStr":"{\"title\":\"The use of multistate life-table models for improving population health.\",\"authors\":\"M. Roberts, M. Tobias\",\"doi\":\"10.1093/IMAMMB/18.2.119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We demonstrate how incidence, prevalence, remission, mortality (IPRM) models may be constructed on population life-tables, how the incidence of a condition may be calculated, and how the consequences of demographic changes and public health interventions may be predicted. We illustrate the methodology by applying it to the epidemiology of diabetes, physical inactivity and obesity in New Zealand.\",\"PeriodicalId\":77168,\"journal\":{\"name\":\"IMA journal of mathematics applied in medicine and biology\",\"volume\":\"18 2 1\",\"pages\":\"119-30\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1093/IMAMMB/18.2.119\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IMA journal of mathematics applied in medicine and biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/IMAMMB/18.2.119\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IMA journal of mathematics applied in medicine and biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/IMAMMB/18.2.119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The use of multistate life-table models for improving population health.
We demonstrate how incidence, prevalence, remission, mortality (IPRM) models may be constructed on population life-tables, how the incidence of a condition may be calculated, and how the consequences of demographic changes and public health interventions may be predicted. We illustrate the methodology by applying it to the epidemiology of diabetes, physical inactivity and obesity in New Zealand.
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