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10.12688/f1000research.23401.2 http://scihub22266oqcxt.onion/10.12688/f1000research.23401.2 32983416!7503179!32983416     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       F1000Res 2020 ; 9 (ä): 283 Nephropedia Template TP {{tp|p=32983416|t=2020. Predicting the evolution and control of the COVID-19 pandemic in Portugal |pdf=|usr=}}{{32983416}} gab.com Text Predicting the evolution and control of the COVID-19 pandemic in Portugal JO: F1000Res http://www.kidney.de/pget.php?&tw=1&pmid=32983416 #FOAvip Coronavirus disease 2019 (COVID-19) is a worldwide pandemic that has been affecting Portugal since 2 March 2020. The Portuguese government has been making efforts to contradict the exponential growth through lockdown, social distancing and the usage of masks. However, these measures have been implemented without controlling the compliance degree and how much is necessary to achieve an effective control. To address this issue, we developed a mathematical model to estimate the strength of Government-Imposed Measures (GIM) and predict the impact of the degree of compliance on the number of infected cases and peak of infection. We estimate the peak to be around 650 thousand infected cases with 53 thousand requiring hospital care by the beginning of May if no measures were taken. The model shows that the population compliance of the GIM was gradual between 30% to 75%, contributing to a significant reduction on the infection peak and mortality. Importantly, our simulations show that the infection burden could have been further reduced if the population followed the GIM immediately after their release on 18 March. Twit Text FOAVip Predicting the evolution and control of the COVID-19 pandemic in Portugal ????F1000Res http://www.kidney.de/pget.php?&tw=1&pmid=32983416 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32983416 #FOAvip English Wikipedia <ref>{{Cite pmid|32983416}}</ref> Predicting the evolution and control of the COVID-19 pandemic in Portugal #MMPMID32983416 Pais RJ; Taveira N F1000Res 2020[]; 9 (ä): 283 PMID32983416show ga Coronavirus disease 2019 (COVID-19) is a worldwide pandemic that has been affecting Portugal since 2 March 2020. The Portuguese government has been making efforts to contradict the exponential growth through lockdown, social distancing and the usage of masks. However, these measures have been implemented without controlling the compliance degree and how much is necessary to achieve an effective control. To address this issue, we developed a mathematical model to estimate the strength of Government-Imposed Measures (GIM) and predict the impact of the degree of compliance on the number of infected cases and peak of infection. We estimate the peak to be around 650 thousand infected cases with 53 thousand requiring hospital care by the beginning of May if no measures were taken. The model shows that the population compliance of the GIM was gradual between 30% to 75%, contributing to a significant reduction on the infection peak and mortality. Importantly, our simulations show that the infection burden could have been further reduced if the population followed the GIM immediately after their release on 18 March. |*Coronavirus Infections/epidemiology/prevention & control[MESH] |*Pneumonia, Viral/epidemiology/prevention & control[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Communicable Disease Control[MESH] |Forecasting[MESH] |Humans[MESH] |Models, Theoretical[MESH] |Pandemics/prevention & control[MESH] |Patient Compliance[MESH] |Portugal/epidemiology[MESH]Predicting the evolution and control of the COVID-19 pandemic in Portu(epmc).pdf DeepDyve Pubget Overpricing