The 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19
作者： Andreas Züfle , Taylor Anderson , Jia Yu
关键词:
摘要: In response to the COVID-19 pandemic, a number of spatially-explicit models have been developed better explain pathways disease, predict trajectory and test effect different health guidelines policies on cases deaths. The 1st ACM SIGSPATIAL International Workshop Modeling Understanding Spread workshop (COVID'2020) featured research efforts that aim understand spatial processes patterns spread using variety modeling, simulation, mining approaches. goal this was bring together range interdisciplinary researchers in community fields computer science, social sciences, epidemiology. Also, advertised for anyone interested infectious disease data modelling, including but not limited COVID-19.
acm.org
sci-hub.st 参考文章(13)
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