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10.1073/pnas.2004911117 http://scihub22266oqcxt.onion/10.1073/pnas.2004911117 32300018!7211934!32300018     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 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 (18): 9696-9698 Nephropedia Template TP {{tp|p=32300018|t=2020. Demographic science aids in understanding the spread and fatality rates of COVID-19 |pdf=|usr=}}{{32300018}} gab.com Text Demographic science aids in understanding the spread and fatality rates of COVID-19 JO: Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=32300018 #FOAvip Governments around the world must rapidly mobilize and make difficult policy decisions to mitigate the coronavirus disease 2019 (COVID-19) pandemic. Because deaths have been concentrated at older ages, we highlight the important role of demography, particularly, how the age structure of a population may help explain differences in fatality rates across countries and how transmission unfolds. We examine the role of age structure in deaths thus far in Italy and South Korea and illustrate how the pandemic could unfold in populations with similar population sizes but different age structures, showing a dramatically higher burden of mortality in countries with older versus younger populations. This powerful interaction of demography and current age-specific mortality for COVID-19 suggests that social distancing and other policies to slow transmission should consider the age composition of local and national contexts as well as intergenerational interactions. We also call for countries to provide case and fatality data disaggregated by age and sex to improve real-time targeted forecasting of hospitalization and critical care needs. Twit Text FOAVip Demographic science aids in understanding the spread and fatality rates of COVID-19 ????Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=32300018 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32300018 #FOAvip English Wikipedia <ref>{{Cite pmid|32300018}}</ref> Demographic science aids in understanding the spread and fatality rates of COVID-19 #MMPMID32300018 Dowd JB; Andriano L; Brazel DM; Rotondi V; Block P; Ding X; Liu Y; Mills MC Proc Natl Acad Sci U S A 2020[May]; 117 (18): 9696-9698 PMID32300018show ga Governments around the world must rapidly mobilize and make difficult policy decisions to mitigate the coronavirus disease 2019 (COVID-19) pandemic. Because deaths have been concentrated at older ages, we highlight the important role of demography, particularly, how the age structure of a population may help explain differences in fatality rates across countries and how transmission unfolds. We examine the role of age structure in deaths thus far in Italy and South Korea and illustrate how the pandemic could unfold in populations with similar population sizes but different age structures, showing a dramatically higher burden of mortality in countries with older versus younger populations. This powerful interaction of demography and current age-specific mortality for COVID-19 suggests that social distancing and other policies to slow transmission should consider the age composition of local and national contexts as well as intergenerational interactions. We also call for countries to provide case and fatality data disaggregated by age and sex to improve real-time targeted forecasting of hospitalization and critical care needs. |*Betacoronavirus[MESH] |Adult[MESH] |Age Factors[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/mortality[MESH] |Humans[MESH] |Italy[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/mortality[MESH] |Republic of Korea[MESH] |SARS-CoV-2[MESH]Demographic science aids in understanding the spread and fatality rate(epmc).pdf DeepDyve Pubget Overpricing