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10.1016/j.chaos.2020.110244 http://scihub22266oqcxt.onion/10.1016/j.chaos.2020.110244 32863608!7444939!32863608     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32863608&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32863608.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Chaos+Solitons+Fractals 2020 ; 140 (ä): 110244 Nephropedia Template TP {{tp|p=32863608|t=2020. A quantitative framework for exploring exit strategies from the COVID-19 lockdown |pdf=|usr=}}{{32863608}} gab.com Text A quantitative framework for exploring exit strategies from the COVID-19 lockdown JO: Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32863608 #FOAvip Following the highly restrictive measures adopted by many countries for combating the current pandemic, the number of individuals infected by SARS-CoV-2 and the associated number of deaths steadily decreased. This fact, together with the impossibility of maintaining the lockdown indefinitely, raises the crucial question of whether it is possible to design an exit strategy based on quantitative analysis. Guided by rigorous mathematical results, we show that this is indeed possible: we present a robust numerical algorithm which can compute the cumulative number of deaths that will occur as a result of increasing the number of contacts by a given multiple, using as input only the most reliable of all data available during the lockdown, namely the cumulative number of deaths. Twit Text FOAVip A quantitative framework for exploring exit strategies from the COVID-19 lockdown ????Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32863608 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32863608 #FOAvip English Wikipedia <ref>{{Cite pmid|32863608}}</ref> A quantitative framework for exploring exit strategies from the COVID-19 lockdown #MMPMID32863608 Fokas AS; Cuevas-Maraver J; Kevrekidis PG Chaos Solitons Fractals 2020[Nov]; 140 (ä): 110244 PMID32863608show ga Following the highly restrictive measures adopted by many countries for combating the current pandemic, the number of individuals infected by SARS-CoV-2 and the associated number of deaths steadily decreased. This fact, together with the impossibility of maintaining the lockdown indefinitely, raises the crucial question of whether it is possible to design an exit strategy based on quantitative analysis. Guided by rigorous mathematical results, we show that this is indeed possible: we present a robust numerical algorithm which can compute the cumulative number of deaths that will occur as a result of increasing the number of contacts by a given multiple, using as input only the most reliable of all data available during the lockdown, namely the cumulative number of deaths. äA quantitative framework for exploring exit strategies from the COVID-(epmc).pdf DeepDyve Pubget Overpricing