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10.1126/science.abc6810 http://scihub22266oqcxt.onion/10.1126/science.abc6810 32576668!7331793!32576668     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 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 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Science 2020 ; 369 (6505): 846-849 Nephropedia Template TP {{tp|p=32576668|t=2020. A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2 |pdf=|usr=}}{{32576668}} gab.com Text A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2 JO: Science http://www.kidney.de/pget.php?&tw=1&pmid=32576668 #FOAvip Despite various levels of preventive measures, in 2020, many countries have suffered severely from the coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. Using a model, we show that population heterogeneity can affect disease-induced immunity considerably because the proportion of infected individuals in groups with the highest contact rates is greater than that in groups with low contact rates. We estimate that if R (0) = 2.5 in an age-structured community with mixing rates fitted to social activity, then the disease-induced herd immunity level can be ~43%, which is substantially less than the classical herd immunity level of 60% obtained through homogeneous immunization of the population. Our estimates should be interpreted as an illustration of how population heterogeneity affects herd immunity rather than as an exact value or even a best estimate. Twit Text FOAVip A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2 ????Science http://www.kidney.de/pget.php?&tw=1&pmid=32576668 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32576668 #FOAvip English Wikipedia <ref>{{Cite pmid|32576668}}</ref> A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2 #MMPMID32576668 Britton T; Ball F; Trapman P Science 2020[Aug]; 369 (6505): 846-849 PMID32576668show ga Despite various levels of preventive measures, in 2020, many countries have suffered severely from the coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. Using a model, we show that population heterogeneity can affect disease-induced immunity considerably because the proportion of infected individuals in groups with the highest contact rates is greater than that in groups with low contact rates. We estimate that if R (0) = 2.5 in an age-structured community with mixing rates fitted to social activity, then the disease-induced herd immunity level can be ~43%, which is substantially less than the classical herd immunity level of 60% obtained through homogeneous immunization of the population. Our estimates should be interpreted as an illustration of how population heterogeneity affects herd immunity rather than as an exact value or even a best estimate. |*Betacoronavirus[MESH] |*Immunity, Herd[MESH] |*Models, Theoretical[MESH] |Age Factors[MESH] |Basic Reproduction Number[MESH] |COVID-19[MESH] |Coronavirus Infections/epidemiology/*immunology/prevention & control/transmission[MESH] |Demography[MESH] |Humans[MESH] |Pandemics/prevention & control[MESH] |Pneumonia, Viral/epidemiology/*immunology/prevention & control/transmission[MESH] |SARS-CoV-2[MESH] |Social Behavior[MESH]A mathematical model reveals the influence of population heterogeneity(epmc).pdf DeepDyve Pubget Overpricing