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10.1098/rsos.201535 http://scihub22266oqcxt.onion/10.1098/rsos.201535 34035936!8101016!34035936     free     free     free Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       R+Soc+Open+Sci 2021 ; 8 (3): 201535 Nephropedia Template TP {{tp|p=34035936|t=2021. Modelling COVID-19 contagion: risk assessment and targeted mitigation policies |pdf=|usr=}}{{34035936}} gab.com Text Modelling COVID-19 contagion: risk assessment and targeted mitigation policies JO: R Soc Open Sci http://www.kidney.de/pget.php?&tw=1&pmid=34035936 #FOAvip We use a spatial epidemic model with demographic and geographical heterogeneity to study the regional dynamics of COVID-19 across 133 regions in England. Our model emphasizes the role of variability of regional outcomes and heterogeneity across age groups and geographical locations, and provides a framework for assessing the impact of policies targeted towards subpopulations or regions. We define a concept of efficiency for comparative analysis of epidemic control policies and show targeted mitigation policies based on local monitoring to be more efficient than country-level or non-targeted measures. In particular, our results emphasize the importance of shielding vulnerable subpopulations and show that targeted policies based on local monitoring can considerably lower fatality forecasts and, in many cases, prevent the emergence of second waves which may occur under centralized policies. Twit Text FOAVip Modelling COVID-19 contagion: risk assessment and targeted mitigation policies ????R Soc Open Sci http://www.kidney.de/pget.php?&tw=1&pmid=34035936 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34035936 #FOAvip English Wikipedia <ref>{{Cite pmid|34035936}}</ref> Modelling COVID-19 contagion: risk assessment and targeted mitigation policies #MMPMID34035936 Cont R; Kotlicki A; Xu R R Soc Open Sci 2021[Mar]; 8 (3): 201535 PMID34035936show ga We use a spatial epidemic model with demographic and geographical heterogeneity to study the regional dynamics of COVID-19 across 133 regions in England. Our model emphasizes the role of variability of regional outcomes and heterogeneity across age groups and geographical locations, and provides a framework for assessing the impact of policies targeted towards subpopulations or regions. We define a concept of efficiency for comparative analysis of epidemic control policies and show targeted mitigation policies based on local monitoring to be more efficient than country-level or non-targeted measures. In particular, our results emphasize the importance of shielding vulnerable subpopulations and show that targeted policies based on local monitoring can considerably lower fatality forecasts and, in many cases, prevent the emergence of second waves which may occur under centralized policies. äModelling COVID-19 contagion: risk assessment and targeted mitigation (epmc).pdf DeepDyve Pubget Overpricing