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10.1073/pnas.2008087117 http://scihub22266oqcxt.onion/10.1073/pnas.2008087117 32963094!7568326!32963094     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Proc+Natl+Acad+Sci+U+S+A 2020 ; 117 (41): 25897-25903 Nephropedia Template TP {{tp|p=32963094|t=2020. Transmission dynamics reveal the impracticality of COVID-19 herd immunity strategies |pdf=|usr=}}{{32963094}} gab.com Text Transmission dynamics reveal the impracticality of COVID-19 herd immunity strategies JO: Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=32963094 #FOAvip The rapid growth rate of COVID-19 continues to threaten to overwhelm healthcare systems in multiple countries. In response, severely affected countries have had to impose a range of public health strategies achieved via nonpharmaceutical interventions. Broadly, these strategies have fallen into two categories: 1) "mitigation," which aims to achieve herd immunity by allowing the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus to spread through the population while mitigating disease burden, and 2) "suppression," aiming to drastically reduce SARS-CoV-2 transmission rates and halt endogenous transmission in the target population. Using an age-structured transmission model, parameterized to simulate SARS-CoV-2 transmission in the United Kingdom, we assessed the long-term prospects of success using both of these approaches. We simulated a range of different nonpharmaceutical intervention scenarios incorporating social distancing applied to differing age groups. Our modeling confirmed that suppression of SARS-CoV-2 transmission is possible with plausible levels of social distancing over a period of months, consistent with observed trends. Notably, our modeling did not support achieving herd immunity as a practical objective, requiring an unlikely balancing of multiple poorly defined forces. Specifically, we found that 1) social distancing must initially reduce the transmission rate to within a narrow range, 2) to compensate for susceptible depletion, the extent of social distancing must be adaptive over time in a precise yet unfeasible way, and 3) social distancing must be maintained for an extended period to ensure the healthcare system is not overwhelmed. Twit Text FOAVip Transmission dynamics reveal the impracticality of COVID-19 herd immunity strategies ????Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=32963094 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32963094 #FOAvip English Wikipedia <ref>{{Cite pmid|32963094}}</ref> Transmission dynamics reveal the impracticality of COVID-19 herd immunity strategies #MMPMID32963094 Brett TS; Rohani P Proc Natl Acad Sci U S A 2020[Oct]; 117 (41): 25897-25903 PMID32963094show ga The rapid growth rate of COVID-19 continues to threaten to overwhelm healthcare systems in multiple countries. In response, severely affected countries have had to impose a range of public health strategies achieved via nonpharmaceutical interventions. Broadly, these strategies have fallen into two categories: 1) "mitigation," which aims to achieve herd immunity by allowing the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus to spread through the population while mitigating disease burden, and 2) "suppression," aiming to drastically reduce SARS-CoV-2 transmission rates and halt endogenous transmission in the target population. Using an age-structured transmission model, parameterized to simulate SARS-CoV-2 transmission in the United Kingdom, we assessed the long-term prospects of success using both of these approaches. We simulated a range of different nonpharmaceutical intervention scenarios incorporating social distancing applied to differing age groups. Our modeling confirmed that suppression of SARS-CoV-2 transmission is possible with plausible levels of social distancing over a period of months, consistent with observed trends. Notably, our modeling did not support achieving herd immunity as a practical objective, requiring an unlikely balancing of multiple poorly defined forces. Specifically, we found that 1) social distancing must initially reduce the transmission rate to within a narrow range, 2) to compensate for susceptible depletion, the extent of social distancing must be adaptive over time in a precise yet unfeasible way, and 3) social distancing must be maintained for an extended period to ensure the healthcare system is not overwhelmed. |*Immunity, Herd[MESH] |*Models, Theoretical[MESH] |Age Factors[MESH] |Betacoronavirus/physiology[MESH] |COVID-19[MESH] |Communicable Disease Control/methods[MESH] |Computer Simulation[MESH] |Coronavirus Infections/epidemiology/immunology/prevention & control/*transmission[MESH] |Disease Susceptibility/epidemiology/immunology[MESH] |Humans[MESH] |Pandemics/prevention & control[MESH] |Pneumonia, Viral/epidemiology/immunology/prevention & control/*transmission[MESH] |SARS-CoV-2[MESH]Transmission dynamics reveal the impracticality of COVID-19 herd immun(epmc).pdf DeepDyve Pubget Overpricing