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10.3389/fmed.2020.00274 http://scihub22266oqcxt.onion/10.3389/fmed.2020.00274 32582739!7290065!32582739     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       Front+Med+(Lausanne) 2020 ; 7 (ä): 274 Nephropedia Template TP {{tp|p=32582739|t=2020. Impact of Lockdown on the Epidemic Dynamics of COVID-19 in France |pdf=|usr=}}{{32582739}} gab.com Text Impact of Lockdown on the Epidemic Dynamics of COVID-19 in France JO: Front Med (Lausanne) http://www.kidney.de/pget.php?&tw=1&pmid=32582739 #FOAvip The COVID-19 epidemic was reported in the Hubei province in China in December 2019 and then spread around the world reaching the pandemic stage at the beginning of March 2020. Since then, several countries went into lockdown. Using a mechanistic-statistical formalism, we estimate the effect of the lockdown in France on the contact rate and the effective reproduction number R (e) of the COVID-19. We obtain a reduction by a factor 7 (R (e) = 0.47, 95%-CI: 0.45-0.50), compared to the estimates carried out in France at the early stage of the epidemic. We also estimate the fraction of the population that would be infected by the beginning of May, at the official date at which the lockdown should be relaxed. We find a fraction of 3.7% (95%-CI: 3.0-4.8%) of the total French population, without taking into account the number of recovered individuals before April 1st, which is not known. This proportion is seemingly too low to reach herd immunity. Thus, even if the lockdown strongly mitigated the first epidemic wave, keeping a low value of R (e) is crucial to avoid an uncontrolled second wave (initiated with much more infectious cases than the first wave) and to hence avoid the saturation of hospital facilities. Twit Text FOAVip Impact of Lockdown on the Epidemic Dynamics of COVID-19 in France ????Front Med (Lausanne) http://www.kidney.de/pget.php?&tw=1&pmid=32582739 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32582739 #FOAvip English Wikipedia <ref>{{Cite pmid|32582739}}</ref> Impact of Lockdown on the Epidemic Dynamics of COVID-19 in France #MMPMID32582739 Roques L; Klein EK; Papaix J; Sar A; Soubeyrand S Front Med (Lausanne) 2020[]; 7 (ä): 274 PMID32582739show ga The COVID-19 epidemic was reported in the Hubei province in China in December 2019 and then spread around the world reaching the pandemic stage at the beginning of March 2020. Since then, several countries went into lockdown. Using a mechanistic-statistical formalism, we estimate the effect of the lockdown in France on the contact rate and the effective reproduction number R (e) of the COVID-19. We obtain a reduction by a factor 7 (R (e) = 0.47, 95%-CI: 0.45-0.50), compared to the estimates carried out in France at the early stage of the epidemic. We also estimate the fraction of the population that would be infected by the beginning of May, at the official date at which the lockdown should be relaxed. We find a fraction of 3.7% (95%-CI: 3.0-4.8%) of the total French population, without taking into account the number of recovered individuals before April 1st, which is not known. This proportion is seemingly too low to reach herd immunity. Thus, even if the lockdown strongly mitigated the first epidemic wave, keeping a low value of R (e) is crucial to avoid an uncontrolled second wave (initiated with much more infectious cases than the first wave) and to hence avoid the saturation of hospital facilities. äImpact of Lockdown on the Epidemic Dynamics of COVID-19 in France (epmc).pdf DeepDyve Pubget Overpricing