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10.1017/S0950268821001059 http://scihub22266oqcxt.onion/10.1017/S0950268821001059 33928895!8134889!33928895     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Epidemiol+Infect 2021 ; 149 (ä): e118 Nephropedia Template TP {{tp|p=33928895|t=2021. Simulation-based evaluation of school reopening strategies during COVID-19: A case study of Sao Paulo, Brazil |pdf=|usr=}}{{33928895}} gab.com Text Simulation-based evaluation of school reopening strategies during COVID-19: A case study of Sao Paulo, Brazil JO: Epidemiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=33928895 #FOAvip During the coronavirus disease 2019 (COVID-19) pandemic, many countries opted for strict public health measures, including closing schools. After some time, they have started relaxing some of those restrictions. To avoid overwhelming health systems, predictions for the number of new COVID-19 cases need to be considered when choosing a school reopening strategy. Using a computer simulation based on a stochastic compartmental model that includes a heterogeneous and dynamic network, we analyse different strategies to reopen schools in the Sao Paulo Metropolitan Area, including one similar to the official reopening plan. Our model allows us to describe different types of relations between people, each type with a different infectiousness. Based on our simulations and model assumptions, our results indicate that reopening schools with all students at once has a big impact on the number of new COVID-19 cases, which could cause a collapse of the health system. On the other hand, our results also show that a controlled school reopening could possibly avoid the collapse of the health system, depending on how people follow sanitary measures. We estimate that postponing the schools' return date for after a vaccine becomes available may save tens of thousands of lives just in the Sao Paulo Metropolitan Area compared to a controlled reopening considering a worst-case scenario. We also discuss our model constraints and the uncertainty of its parameters. Twit Text FOAVip Simulation-based evaluation of school reopening strategies during COVID-19: A case study of Sao Paulo, Brazil ????Epidemiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=33928895 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33928895 #FOAvip English Wikipedia <ref>{{Cite pmid|33928895}}</ref> Simulation-based evaluation of school reopening strategies during COVID-19: A case study of Sao Paulo, Brazil #MMPMID33928895 Cruz EHM; Maciel JM; Clozato CL; Serpa MS; Navaux POA; Meneses E; Abdalah M; Diener M Epidemiol Infect 2021[Apr]; 149 (ä): e118 PMID33928895show ga During the coronavirus disease 2019 (COVID-19) pandemic, many countries opted for strict public health measures, including closing schools. After some time, they have started relaxing some of those restrictions. To avoid overwhelming health systems, predictions for the number of new COVID-19 cases need to be considered when choosing a school reopening strategy. Using a computer simulation based on a stochastic compartmental model that includes a heterogeneous and dynamic network, we analyse different strategies to reopen schools in the Sao Paulo Metropolitan Area, including one similar to the official reopening plan. Our model allows us to describe different types of relations between people, each type with a different infectiousness. Based on our simulations and model assumptions, our results indicate that reopening schools with all students at once has a big impact on the number of new COVID-19 cases, which could cause a collapse of the health system. On the other hand, our results also show that a controlled school reopening could possibly avoid the collapse of the health system, depending on how people follow sanitary measures. We estimate that postponing the schools' return date for after a vaccine becomes available may save tens of thousands of lives just in the Sao Paulo Metropolitan Area compared to a controlled reopening considering a worst-case scenario. We also discuss our model constraints and the uncertainty of its parameters. |Brazil/epidemiology[MESH] |COVID-19/classification/*epidemiology/mortality/transmission[MESH] |Cities/epidemiology[MESH] |Computer Simulation[MESH] |Humans[MESH] |Schools/*trends[MESH]Simulation-based evaluation of school reopening strategies during COVI(epmc).pdf DeepDyve Pubget Overpricing