{"id":3303,"date":"2021-01-19T10:28:48","date_gmt":"2021-01-19T18:28:48","guid":{"rendered":"https:\/\/depts.washington.edu\/pandemicalliance\/?p=3303"},"modified":"2021-01-20T10:29:45","modified_gmt":"2021-01-20T18:29:45","slug":"optimal-sars-cov-2-vaccine-allocation-using-real-time-seroprevalence-estimates-in-rhode-island-and-massachusetts","status":"publish","type":"post","link":"https:\/\/depts.washington.edu\/pandemicalliance\/2021\/01\/19\/optimal-sars-cov-2-vaccine-allocation-using-real-time-seroprevalence-estimates-in-rhode-island-and-massachusetts\/","title":{"rendered":"Optimal SARS-CoV-2 Vaccine Allocation Using Real-Time Seroprevalence Estimates in Rhode Island and Massachusetts"},"content":{"rendered":"

Vaccine allocation models parametrized to the seroprevalence estimates of Rhode Island and Massachusetts show that allocating >75% of the vaccine supply to individuals \u226570 years old optimally reduces total cumulative deaths through mid-2021. Although not explicitly modelled, allocating a majority of the supply to other high-risk groups will yield the same effect. Vaccinating seronegative individuals only avoids redundancy and could result in 1-2% reductions in cumulative hospitalizations.<\/p>\n

Tran et al. (Jan 15, 2021). Optimal SARS-CoV-2 Vaccine Allocation Using Real-Time Seroprevalence Estimates in Rhode Island and Massachusetts. Pre-print downloaded Jan 19 from <\/i>https:\/\/doi.org\/10.1101\/2021.01.12.21249694<\/a>\u00a0<\/span><\/i><\/p>\n","protected":false},"excerpt":{"rendered":"

Vaccine allocation models parametrized to the seroprevalence estimates of Rhode Island and Massachusetts show that allocating >75% of the vaccine supply to individuals \u226570 years old optimally reduces total cumulative deaths through mid-2021. Although not explicitly modelled, allocating a majority of the supply to other high-risk groups will yield the same effect. Vaccinating seronegative individuals…<\/p>\n

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