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10.1016/j.healthpol.2020.10.017 http://scihub22266oqcxt.onion/10.1016/j.healthpol.2020.10.017 33309293!7649031!33309293     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33309293&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       Health+Policy 2021 ; 125 (2): 141-147 Nephropedia Template TP {{tp|p=33309293|t=2021. COVID-19: R(0) is lower where outbreak is larger |pdf=|usr=}}{{33309293}} gab.com Text COVID-19: R(0) is lower where outbreak is larger JO: Health Policy http://www.kidney.de/pget.php?&tw=1&pmid=33309293 #FOAvip We use daily data from Lombardy, the Italian region most affected by the COVID-19 outbreak, to calibrate a SIR model on each municipality. Municipalities with a higher initial number of cases feature a lower rate of diffusion, not attributable to herd immunity: there is a robust and strongly significant negative correlation between the estimated basic reproduction number (R(0)) and the initial outbreak size. This represents novel evidence of the prevalence-response elasticity in a cross-sectional setting, characterized by a same health system and homogeneous social distancing regulations. By ruling out alternative explanations, we conclude that a higher number of cases causes changes of behavior, such as a more strict adoption of social distancing measures among the population, that reduce the spread. This finding calls for the distribution of detailed epidemiological data to populations affected by COVID-19 outbreaks. Twit Text FOAVip COVID-19: R(0) is lower where outbreak is larger ????Health Policy http://www.kidney.de/pget.php?&tw=1&pmid=33309293 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33309293 #FOAvip English Wikipedia <ref>{{Cite pmid|33309293}}</ref> COVID-19: R(0) is lower where outbreak is larger #MMPMID33309293 Battiston P; Gamba S Health Policy 2021[Feb]; 125 (2): 141-147 PMID33309293show ga We use daily data from Lombardy, the Italian region most affected by the COVID-19 outbreak, to calibrate a SIR model on each municipality. Municipalities with a higher initial number of cases feature a lower rate of diffusion, not attributable to herd immunity: there is a robust and strongly significant negative correlation between the estimated basic reproduction number (R(0)) and the initial outbreak size. This represents novel evidence of the prevalence-response elasticity in a cross-sectional setting, characterized by a same health system and homogeneous social distancing regulations. By ruling out alternative explanations, we conclude that a higher number of cases causes changes of behavior, such as a more strict adoption of social distancing measures among the population, that reduce the spread. This finding calls for the distribution of detailed epidemiological data to populations affected by COVID-19 outbreaks. |Basic Reproduction Number/*statistics & numerical data[MESH] |COVID-19/*epidemiology[MESH] |Cross-Sectional Studies[MESH] |Humans[MESH] |Italy/epidemiology[MESH] |Physical Distancing[MESH]COVID-19: R(0) is lower where outbreak is larger (epmc).pdf DeepDyve Pubget Overpricing