LEADER 01484nam 2200409 450 001 996464553203316 005 20220829090952.0 010 $a3-030-79753-8 035 $a(MiAaPQ)EBC6826372 035 $a(Au-PeEL)EBL6826372 035 $a(CKB)20133876600041 035 $a(OCoLC)1288632838 035 $a(PPN)259389501 035 $a(EXLCZ)9920133876600041 100 $a20220829d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAssessing COVID-19 and other pandemics and epidemics using computational modelling and data analysis /$fSubhendu Kumar Pani [and four others], editors 210 1$aCham, Switzerland :$cSpringer,$d[2022] 210 4$dİ2022 215 $a1 online resource (416 pages) 311 08$aPrint version: Pani, Subhendu Kumar Assessing COVID-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis Cham : Springer International Publishing AG,c2022 9783030797522 606 $aArtificial intelligence 615 0$aArtificial intelligence. 676 $a006.3 700 $aHooper$b Jane$f1981-$01254115 702 $aKumar Pani$b Subhendu 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996464553203316 996 $aAssessing COVID-19 and other pandemics and epidemics using computational modelling and data analysis$92908042 997 $aUNISA