Comparison of COVID-19 vaccine prioritization strategies in the United States [article]

Lloyd A. C. Chapman, Poojan Shukla, Isabel Rodriguez-Barraquer, Priya B. Shete, Tomas M. Leon, Kirsten Bibbins-Domingo, George W. Rutherford, Robert Schechter, Nathan C. Lo
<span title="2021-03-08">2021</span> <i title="Cold Spring Harbor Laboratory"> medRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
A critical question in the COVID-19 pandemic is how to optimally allocate the first available vaccinations to maximize health impact. We used a static simulation model with detailed demographic and risk factor stratification to compare the impact of different vaccine prioritization strategies in the United States on key health outcomes, using California as a case example. We calibrated the model to demographic and location data on 28,175 COVID-19 deaths in California up to December 30, 2020,
more &raquo; ... incorporated variation in risk by occupation and comorbidity status using published estimates. We predicted the proportion of COVID-19 clinical cases, deaths and disability-adjusted life years (DALYs) averted over 6 months relative to a scenario of no vaccination for five vaccination strategies that prioritized vaccination by a single risk factor: random allocation; targeting special populations (e.g. incarcerated individuals); targeting older individuals; targeting essential workers; and targeting individuals with comorbidities. Targeting older individuals averted the highest proportion of DALYs (40% for 5 million individuals vaccinated) and deaths (65%) but the lowest proportion of cases (12%). Targeting essential workers averted the lowest proportion of DALYs (25%) and deaths (33%). Allocating vaccinations simultaneously by age and location or by age, sex, race/ethnicity, location, occupation, and comorbidity status averted a significantly higher proportion of DALYs (48% and 56%) than any strategy prioritizing by a single risk factor. Our results corroborate findings of other studies that age targeting is the best single-risk-factor prioritization strategy for averting DALYs, and suggest that targeting by multiple risk factors would provide additional benefit.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1101/2021.03.04.21251264</a> <a target="_blank" rel="external noopener" href="">fatcat:o6lpzpx4cfcg5ldbnyv4qqrpbq</a> </span>
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