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10.1038/s41598-020-67459-8 http://scihub22266oqcxt.onion/10.1038/s41598-020-67459-8 32612204!7329889!32612204     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2020 ; 10 (1): 10711 Nephropedia Template TP {{tp|p=32612204|t=2020. Modeling, state estimation, and optimal control for the US COVID-19 outbreak |pdf=|usr=}}{{32612204}} gab.com Text Modeling, state estimation, and optimal control for the US COVID-19 outbreak JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=32612204 #FOAvip The novel coronavirus SARS-CoV-2 and resulting COVID-19 disease have had an unprecedented spread and continue to cause an increasing number of fatalities worldwide. While vaccines are still under development, social distancing, extensive testing, and quarantining of confirmed infected subjects remain the most effective measures to contain the pandemic. These measures carry a significant socioeconomic cost. In this work, we introduce a novel optimization-based decision-making framework for managing the COVID-19 outbreak in the US. This includes modeling the dynamics of affected populations, estimating the model parameters and hidden states from data, and an optimal control strategy for sequencing social distancing and testing events such that the number of infections is minimized. The analysis of our extensive computational efforts reveals that social distancing and quarantining are most effective when implemented early, with quarantining of confirmed infected subjects having a much higher impact. Further, we find that "on-off" policies alternating between strict social distancing and relaxing such restrictions can be effective at "flattening" the curve while likely minimizing social and economic cost. Twit Text FOAVip Modeling, state estimation, and optimal control for the US COVID-19 outbreak ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=32612204 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32612204 #FOAvip English Wikipedia <ref>{{Cite pmid|32612204}}</ref> Modeling, state estimation, and optimal control for the US COVID-19 outbreak #MMPMID32612204 Tsay C; Lejarza F; Stadtherr MA; Baldea M Sci Rep 2020[Jul]; 10 (1): 10711 PMID32612204show ga The novel coronavirus SARS-CoV-2 and resulting COVID-19 disease have had an unprecedented spread and continue to cause an increasing number of fatalities worldwide. While vaccines are still under development, social distancing, extensive testing, and quarantining of confirmed infected subjects remain the most effective measures to contain the pandemic. These measures carry a significant socioeconomic cost. In this work, we introduce a novel optimization-based decision-making framework for managing the COVID-19 outbreak in the US. This includes modeling the dynamics of affected populations, estimating the model parameters and hidden states from data, and an optimal control strategy for sequencing social distancing and testing events such that the number of infections is minimized. The analysis of our extensive computational efforts reveals that social distancing and quarantining are most effective when implemented early, with quarantining of confirmed infected subjects having a much higher impact. Further, we find that "on-off" policies alternating between strict social distancing and relaxing such restrictions can be effective at "flattening" the curve while likely minimizing social and economic cost. |*Betacoronavirus[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/*prevention & control/virology[MESH] |Epidemiological Monitoring[MESH] |Humans[MESH] |Models, Theoretical[MESH] |Pandemics/*prevention & control[MESH] |Pneumonia, Viral/*epidemiology/*prevention & control/virology[MESH] |Quarantine/*economics/*methods[MESH] |SARS-CoV-2[MESH]Modeling, state estimation, and optimal control for the US COVID-19 ou(epmc).pdf DeepDyve Pubget Overpricing