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10.1126/science.abe6959 http://scihub22266oqcxt.onion/10.1126/science.abe6959 33479118!7963218!33479118     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       Science 2021 ; 371 (6532): 916-921 Nephropedia Template TP {{tp|p=33479118|t=2021. Model-informed COVID-19 vaccine prioritization strategies by age and serostatus |pdf=|usr=}}{{33479118}} gab.com Text Model-informed COVID-19 vaccine prioritization strategies by age and serostatus JO: Science http://www.kidney.de/pget.php?&tw=1&pmid=33479118 #FOAvip Limited initial supply of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine raises the question of how to prioritize available doses. We used a mathematical model to compare five age-stratified prioritization strategies. A highly effective transmission-blocking vaccine prioritized to adults ages 20 to 49 years minimized cumulative incidence, but mortality and years of life lost were minimized in most scenarios when the vaccine was prioritized to adults greater than 60 years old. Use of individual-level serological tests to redirect doses to seronegative individuals improved the marginal impact of each dose while potentially reducing existing inequities in COVID-19 impact. Although maximum impact prioritization strategies were broadly consistent across countries, transmission rates, vaccination rollout speeds, and estimates of naturally acquired immunity, this framework can be used to compare impacts of prioritization strategies across contexts. Twit Text FOAVip Model-informed COVID-19 vaccine prioritization strategies by age and serostatus ????Science http://www.kidney.de/pget.php?&tw=1&pmid=33479118 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33479118 #FOAvip English Wikipedia <ref>{{Cite pmid|33479118}}</ref> Model-informed COVID-19 vaccine prioritization strategies by age and serostatus #MMPMID33479118 Bubar KM; Reinholt K; Kissler SM; Lipsitch M; Cobey S; Grad YH; Larremore DB Science 2021[Feb]; 371 (6532): 916-921 PMID33479118show ga Limited initial supply of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine raises the question of how to prioritize available doses. We used a mathematical model to compare five age-stratified prioritization strategies. A highly effective transmission-blocking vaccine prioritized to adults ages 20 to 49 years minimized cumulative incidence, but mortality and years of life lost were minimized in most scenarios when the vaccine was prioritized to adults greater than 60 years old. Use of individual-level serological tests to redirect doses to seronegative individuals improved the marginal impact of each dose while potentially reducing existing inequities in COVID-19 impact. Although maximum impact prioritization strategies were broadly consistent across countries, transmission rates, vaccination rollout speeds, and estimates of naturally acquired immunity, this framework can be used to compare impacts of prioritization strategies across contexts. |*Health Priorities[MESH] |*Mass Vaccination[MESH] |Adolescent[MESH] |Adult[MESH] |Age Factors[MESH] |Aged[MESH] |Antibodies, Viral/blood[MESH] |COVID-19 Vaccines/*administration & dosage/immunology[MESH] |COVID-19/epidemiology/mortality/*prevention & control/transmission[MESH] |Child[MESH] |Humans[MESH] |Immunogenicity, Vaccine[MESH] |Middle Aged[MESH] |Models, Theoretical[MESH] |SARS-CoV-2/immunology[MESH] |Seroepidemiologic Studies[MESH]Model-informed COVID-19 vaccine prioritization strategies by age and s(epmc).pdf DeepDyve Pubget Overpricing