LEADER 01703nam 2200349 450 001 9910510479003321 005 20230823062055.0 035 $a(CKB)5470000000736559 035 $a(NjHacI)995470000000736559 035 $a(EXLCZ)995470000000736559 100 $a20230823d2020 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aProceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 /$fedited by Taylor Anderson 210 1$aNew York :$cAssociation for Computing Machinery,$d2020. 215 $a1 online resource (68 pages) 225 0 $aACM Conferences 311 $a1-4503-8168-5 330 $aThe 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19 workshop (COVID'2020) will focus on all aspects of modeling, simulating, mining, and understanding the spatial processes and patterns of the spread of COVID-19 and other infectious diseases. This cross-disciplinary workshop is a forum to bring together researchers in the SIGSPATIAL community as well as researchers in epidemiology. Also, this workshop is of interest to everyone who works with infectious disease data and models (not necessarily COVID19). 606 $aCOVID-19 (Disease) 615 0$aCOVID-19 (Disease) 676 $a614.592414 702 $aAnderson$b Taylor 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910510479003321 996 $aProceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19$92136009 997 $aUNINA