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10.1007/s10273-020-2631-5 http://scihub22266oqcxt.onion/10.1007/s10273-020-2631-5 32336803!7174816!32336803     free     free     free       Wirtschaftsdienst 2020 ; 100 (4): 272-276 Nephropedia Template TP {{tp|p=32336803|t=2020. Projektion der COVID-19-Epidemie in Deutschland |pdf=|usr=}}{{32336803}} gab.com Text Projektion der COVID-19-Epidemie in Deutschland JO: Wirtschaftsdienst http://www.kidney.de/pget.php?&tw=1&pmid=32336803 #FOAvip The authors model the evolution of the number of confi rmed cases of COVID-19 in Germany. Their theoretical framework builds on a continuous time Markov chain with four physical states: healthy, sick, recovered or asymptomatic infected, and dead. Their quantitative solution matches the number of sick individuals based on the most recent fi gures with the share of sick individuals following from infection rates and sickness probabilities. They employ this framework to study the expected peak of the number of sick individuals in a scenario without public regulation of social contacts. They also study the impact of public regulations. For all scenarios, they report the expected end of the COVID-19 epidemic. Twit Text FOAVip Projektion der COVID-19-Epidemie in Deutschland ????Wirtschaftsdienst http://www.kidney.de/pget.php?&tw=1&pmid=32336803 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32336803 #FOAvip English Wikipedia <ref>{{Cite pmid|32336803}}</ref> Projektion der COVID-19-Epidemie in Deutschland #MMPMID32336803 Donsimoni JR; Glawion R; Plachter B; Walde K Wirtschaftsdienst 2020[]; 100 (4): 272-276 PMID32336803show ga The authors model the evolution of the number of confi rmed cases of COVID-19 in Germany. Their theoretical framework builds on a continuous time Markov chain with four physical states: healthy, sick, recovered or asymptomatic infected, and dead. Their quantitative solution matches the number of sick individuals based on the most recent fi gures with the share of sick individuals following from infection rates and sickness probabilities. They employ this framework to study the expected peak of the number of sick individuals in a scenario without public regulation of social contacts. They also study the impact of public regulations. For all scenarios, they report the expected end of the COVID-19 epidemic. äProjektion der COVID-19-Epidemie in Deutschland (epmc).pdf DeepDyve Pubget Overpricing