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10.1016/j.scitotenv.2020.138917 http://scihub22266oqcxt.onion/10.1016/j.scitotenv.2020.138917 32387821!7175877!32387821     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Total+Environ 2020 ; 730 (ä): 138917 Nephropedia Template TP {{tp|p=32387821|t=2020. Lockdown, one, two, none, or smart Modeling containing covid-19 infection A conceptual model |pdf=|usr=}}{{32387821}} gab.com Text Lockdown, one, two, none, or smart Modeling containing covid-19 infection A conceptual model JO: Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32387821 #FOAvip A mathematical model has been created with the Systems Dynamics methodology. It is based on a SIR model, with the addition of auxiliary and state variables that represent hospital capacity, contacts, contacts with infected, deaths, giving, as a result, a model of four stock variables. Similarly, using piecewise functions, it was possible to model the "quarantines" or lockdowns, and the effectiveness of reduction in the contacts, Results show the decrease in infected people due to the quarantines. The model was simulated for a population of 100,000. The simulations show trends of infections that could occur in three different scenarios: A) one extended lockdown (60 days), B) two medium lockdowns of 30 days, with a 30-day smart lockdown space, and C) an initial 40-day lockdown and then a 30-day smart lockdown. All the lockdowns start on day 25 after the first reported infection. The model presents a compact structure of broad understanding and successful capture of a COVID-19 outbreak and therefore provides an overview to improve knowledge of outbreak trends and quarantine effectiveness in reducing infection. Twit Text FOAVip Lockdown, one, two, none, or smart Modeling containing covid-19 infection A conceptual model ????Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32387821 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32387821 #FOAvip English Wikipedia <ref>{{Cite pmid|32387821}}</ref> Lockdown, one, two, none, or smart Modeling containing covid-19 infection A conceptual model #MMPMID32387821 Ibarra-Vega D Sci Total Environ 2020[Aug]; 730 (ä): 138917 PMID32387821show ga A mathematical model has been created with the Systems Dynamics methodology. It is based on a SIR model, with the addition of auxiliary and state variables that represent hospital capacity, contacts, contacts with infected, deaths, giving, as a result, a model of four stock variables. Similarly, using piecewise functions, it was possible to model the "quarantines" or lockdowns, and the effectiveness of reduction in the contacts, Results show the decrease in infected people due to the quarantines. The model was simulated for a population of 100,000. The simulations show trends of infections that could occur in three different scenarios: A) one extended lockdown (60 days), B) two medium lockdowns of 30 days, with a 30-day smart lockdown space, and C) an initial 40-day lockdown and then a 30-day smart lockdown. All the lockdowns start on day 25 after the first reported infection. The model presents a compact structure of broad understanding and successful capture of a COVID-19 outbreak and therefore provides an overview to improve knowledge of outbreak trends and quarantine effectiveness in reducing infection. |*Betacoronavirus[MESH] |*Coronavirus Infections[MESH] |*Pandemics[MESH] |*Pneumonia, Viral[MESH] |COVID-19[MESH] |Humans[MESH] |Models, Theoretical[MESH]Lockdown, one, two, none, or smart Modeling containing covid-19 infec(epmc).pdf DeepDyve Pubget Overpricing