{"title":"印度城市COVID监测框架","authors":"Preetam Debasish Saha Roy, Sangeeta Jayadevan","doi":"10.1080/09332480.2021.1981052","DOIUrl":null,"url":null,"abstract":"In this article, we discuss the attempt to synthesize disparate sources of information Non-profit Organizations India Excellence Forum (IEF) and Statistics without Borders (SWB) collaborated to develop a platform that would aid in decision making for different stakeholders. The goal was to leverage pre-existing infectious disease models and COVID-19 related open data to provide relevant monitoring metrics at different granular levels such as States, Districts, City and Wards.","PeriodicalId":88226,"journal":{"name":"Chance (New York, N.Y.)","volume":"18 1","pages":"W73 - W81"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"COVID Monitoring Framework for Indian Cities\",\"authors\":\"Preetam Debasish Saha Roy, Sangeeta Jayadevan\",\"doi\":\"10.1080/09332480.2021.1981052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we discuss the attempt to synthesize disparate sources of information Non-profit Organizations India Excellence Forum (IEF) and Statistics without Borders (SWB) collaborated to develop a platform that would aid in decision making for different stakeholders. The goal was to leverage pre-existing infectious disease models and COVID-19 related open data to provide relevant monitoring metrics at different granular levels such as States, Districts, City and Wards.\",\"PeriodicalId\":88226,\"journal\":{\"name\":\"Chance (New York, N.Y.)\",\"volume\":\"18 1\",\"pages\":\"W73 - W81\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chance (New York, N.Y.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/09332480.2021.1981052\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chance (New York, N.Y.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09332480.2021.1981052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this article, we discuss the attempt to synthesize disparate sources of information Non-profit Organizations India Excellence Forum (IEF) and Statistics without Borders (SWB) collaborated to develop a platform that would aid in decision making for different stakeholders. The goal was to leverage pre-existing infectious disease models and COVID-19 related open data to provide relevant monitoring metrics at different granular levels such as States, Districts, City and Wards.
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