{"title":"支持covid - 19实时响应的高性能模拟","authors":"M. Marathe","doi":"10.1145/3384441.3395993","DOIUrl":null,"url":null,"abstract":"The COVID-19 pandemic represents an unprecedented global crisis and serves as a reminder of the social, economic and health burden of infectious diseases. The ongoing trends towards urbanization, global travel, climate change and a generally older and immuno-compromised population continue to make epidemic planning and control challenging. Recent advances in computing, AI, and bigdata have created new opportunities for realizing the vision of real-time epidemic science. In this talk I will describe our group's work developing scalable and pervasive computing-based concepts, theories and tools for planning, forecasting and response in the event of epidemics. I will draw on our work in supporting federal agencies as they plan and respond to the COVID-19 pandemic outbreak. I will end the talk by outlining directions for future work.","PeriodicalId":422248,"journal":{"name":"Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"High Performance Simulations to Support Real-time COVID19 Response\",\"authors\":\"M. Marathe\",\"doi\":\"10.1145/3384441.3395993\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The COVID-19 pandemic represents an unprecedented global crisis and serves as a reminder of the social, economic and health burden of infectious diseases. The ongoing trends towards urbanization, global travel, climate change and a generally older and immuno-compromised population continue to make epidemic planning and control challenging. Recent advances in computing, AI, and bigdata have created new opportunities for realizing the vision of real-time epidemic science. In this talk I will describe our group's work developing scalable and pervasive computing-based concepts, theories and tools for planning, forecasting and response in the event of epidemics. I will draw on our work in supporting federal agencies as they plan and respond to the COVID-19 pandemic outbreak. I will end the talk by outlining directions for future work.\",\"PeriodicalId\":422248,\"journal\":{\"name\":\"Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation\",\"volume\":\"103 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3384441.3395993\",\"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 of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3384441.3395993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High Performance Simulations to Support Real-time COVID19 Response
The COVID-19 pandemic represents an unprecedented global crisis and serves as a reminder of the social, economic and health burden of infectious diseases. The ongoing trends towards urbanization, global travel, climate change and a generally older and immuno-compromised population continue to make epidemic planning and control challenging. Recent advances in computing, AI, and bigdata have created new opportunities for realizing the vision of real-time epidemic science. In this talk I will describe our group's work developing scalable and pervasive computing-based concepts, theories and tools for planning, forecasting and response in the event of epidemics. I will draw on our work in supporting federal agencies as they plan and respond to the COVID-19 pandemic outbreak. I will end the talk by outlining directions for future work.
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