{"title":"基于EHTERAZ的人工智能辅助第三波疫情热点预测","authors":"Mustafa Ahmed, Mohammed Houkan, K. K. Sadasivuni","doi":"10.29117/quarfe.2021.0156","DOIUrl":null,"url":null,"abstract":"The present study conceptualizes fusion of artificial intelligence and contract tracking mobile application for predicting the COVID-19 hot spots. The findings suggest that mobile technology can be used to provide real-time data on the national and local state of the pandemic, enabling policy makers to make informed decisions in a quickly moving pandemic.","PeriodicalId":9295,"journal":{"name":"Building Resilience at Universities: Role of Innovation and Entrepreneurship","volume":"55 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Artificial Intelligence assisted Prediction of COVID-19 Hotspots in Third Wave using EHTERAZ\",\"authors\":\"Mustafa Ahmed, Mohammed Houkan, K. K. Sadasivuni\",\"doi\":\"10.29117/quarfe.2021.0156\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present study conceptualizes fusion of artificial intelligence and contract tracking mobile application for predicting the COVID-19 hot spots. The findings suggest that mobile technology can be used to provide real-time data on the national and local state of the pandemic, enabling policy makers to make informed decisions in a quickly moving pandemic.\",\"PeriodicalId\":9295,\"journal\":{\"name\":\"Building Resilience at Universities: Role of Innovation and Entrepreneurship\",\"volume\":\"55 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Building Resilience at Universities: Role of Innovation and Entrepreneurship\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29117/quarfe.2021.0156\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Building Resilience at Universities: Role of Innovation and Entrepreneurship","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29117/quarfe.2021.0156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial Intelligence assisted Prediction of COVID-19 Hotspots in Third Wave using EHTERAZ
The present study conceptualizes fusion of artificial intelligence and contract tracking mobile application for predicting the COVID-19 hot spots. The findings suggest that mobile technology can be used to provide real-time data on the national and local state of the pandemic, enabling policy makers to make informed decisions in a quickly moving pandemic.
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