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10.1080/22221751.2020.1760146 http://scihub22266oqcxt.onion/10.1080/22221751.2020.1760146 32338150!7241447!32338150     free     free     free       Emerg+Microbes+Infect 2020 ; 9 (1): 827-829 Nephropedia Template TP {{tp|p=32338150|t=2020. Mathematic modeling of COVID-19 in the United States |pdf=|usr=}}{{32338150}} gab.com Text Mathematic modeling of COVID-19 in the United States JO: Emerg Microbes Infect http://www.kidney.de/pget.php?&tw=1&pmid=32338150 #FOAvip COVID-19, the worst pandemic in 100 years, has rapidly spread to the entire world in 2 months since its early report in January 2020. Based on the publicly available data sources, we developed a simple mathematic modeling approach to track the outbreaks of COVID-19 in the US and three selected states: New York, Michigan and California. The same approach is applicable to other regions or countries. We hope our work can stimulate more effort in understanding how an outbreak is developing and how big a scope it can be and in what kind of time framework. Such information is critical for outbreak control, resource utilization and re-opening of the normal daily life to citizens in the affected community. Twit Text FOAVip Mathematic modeling of COVID-19 in the United States ????Emerg Microbes Infect http://www.kidney.de/pget.php?&tw=1&pmid=32338150 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32338150 #FOAvip English Wikipedia <ref>{{Cite pmid|32338150}}</ref> Mathematic modeling of COVID-19 in the United States #MMPMID32338150 Tang Y; Wang S Emerg Microbes Infect 2020[Dec]; 9 (1): 827-829 PMID32338150show ga COVID-19, the worst pandemic in 100 years, has rapidly spread to the entire world in 2 months since its early report in January 2020. Based on the publicly available data sources, we developed a simple mathematic modeling approach to track the outbreaks of COVID-19 in the US and three selected states: New York, Michigan and California. The same approach is applicable to other regions or countries. We hope our work can stimulate more effort in understanding how an outbreak is developing and how big a scope it can be and in what kind of time framework. Such information is critical for outbreak control, resource utilization and re-opening of the normal daily life to citizens in the affected community. |*Models, Biological[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/prevention & control[MESH] |Humans[MESH] |Pandemics/prevention & control/*statistics & numerical data[MESH] |Pneumonia, Viral/*epidemiology/prevention & control[MESH]Mathematic modeling of COVID-19 in the United States (epmc).pdf DeepDyve Pubget Overpricing