COVID-19 Vaccine Allocation: Modeling Health Outcomes and Equity Implications of Alternative Strategies
Author(s) -
Maddalena Ferranna,
Daniel Cadarette,
David E. Bloom
Publication year - 2021
Publication title -
engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.376
H-Index - 45
eISSN - 2096-0026
pISSN - 2095-8099
DOI - 10.1016/j.eng.2021.03.014
Subject(s) - covid-19 , equity (law) , health equity , computer science , business , virology , economics , medicine , health care , infectious disease (medical specialty) , political science , economic growth , disease , pathology , law , outbreak
Given the scarcity of safe and effective COVID-19 vaccines, a chief policy question is how to allocate them among different sociodemographic groups. This paper evaluates COVID-19 vaccine prioritization strategies proposed to date, focusing on their stated goals; the mechanisms through which the selected allocations affect the course and burden of the pandemic; and the main epidemiological, economic, logistical, and political issues that arise when setting the prioritization strategy. The paper uses a simple, age-stratified susceptible-exposed-infectious-recovered model applied to the United States to quantitatively assess the performance of alternative prioritization strategies with respect to avoided deaths, avoided infections, and life-years gained. We demonstrate that prioritizing essential workers is a viable strategy for reducing the number of cases and years of life lost, while the largest reduction in deaths is achieved by prioritizing older adults in most scenarios, even if the vaccine is effective at blocking viral transmission. Uncertainty regarding this property and potential delays in dose delivery reinforce the call for prioritizing older adults. Additionally, we investigate the strength of the equity motive that would support an allocation strategy attaching absolute priority to essential workers for a vaccine that reduces infection-fatality risk.
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