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10.12688/f1000research.23034.1 http://scihub22266oqcxt.onion/10.12688/f1000research.23034.1 32864101!7445560!32864101     free     free     free       F1000Res 2020 ; 9 (ä): 232 Nephropedia Template TP {{tp|p=32864101|t=2020. Prediction of local COVID-19 spread in Heidelberg |pdf=|usr=}}{{32864101}} gab.com Text Prediction of local COVID-19 spread in Heidelberg JO: F1000Res http://www.kidney.de/pget.php?&tw=1&pmid=32864101 #FOAvip Since the first identified case of COVID-19 in Wuhan, China, the disease has developed into a pandemic, imposing a major challenge for health authorities and hospitals worldwide. Mathematical transmission models can help hospitals to anticipate and prepare for an upcoming wave of patients by forecasting the time and severity of infections. Taking the city of Heidelberg as an example, we predict the ongoing spread of the disease for the next months including hospital and ventilator capacity and consider the possible impact of currently imposed countermeasures. Twit Text FOAVip Prediction of local COVID-19 spread in Heidelberg ????F1000Res http://www.kidney.de/pget.php?&tw=1&pmid=32864101 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32864101 #FOAvip English Wikipedia <ref>{{Cite pmid|32864101}}</ref> Prediction of local COVID-19 spread in Heidelberg #MMPMID32864101 Koeppel L; Gottschalk C; Welker A; Knorr B; Denkinger CM F1000Res 2020[]; 9 (ä): 232 PMID32864101show ga Since the first identified case of COVID-19 in Wuhan, China, the disease has developed into a pandemic, imposing a major challenge for health authorities and hospitals worldwide. Mathematical transmission models can help hospitals to anticipate and prepare for an upcoming wave of patients by forecasting the time and severity of infections. Taking the city of Heidelberg as an example, we predict the ongoing spread of the disease for the next months including hospital and ventilator capacity and consider the possible impact of currently imposed countermeasures. |*Models, Theoretical[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Cities/epidemiology[MESH] |Coronavirus Infections/*epidemiology/*transmission[MESH] |Germany/epidemiology[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/*transmission[MESH]Prediction of local COVID-19 spread in Heidelberg (epmc).pdf DeepDyve Pubget Overpricing