4.8 Article

Dynamic prioritization of COVID-19 vaccines when social distancing is limited for essential workers

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.2025786118

关键词

COVID-19; vaccine prioritization; essential workers

资金

  1. NSF Graduate Research Fellowship Program [1650042]
  2. California Breast Cancer Research Program of the University of California [R00RG2419]
  3. NSF [2026797, 2034003]
  4. NIH [R01 GM 130900]
  5. Direct For Biological Sciences
  6. Division Of Environmental Biology [2034003, 2026797] Funding Source: National Science Foundation

向作者/读者索取更多资源

Given the limited supply of COVID-19 vaccines, it is crucial to prioritize vaccination across different age and essential worker groups to achieve public health goals, such as minimizing infections and deaths. Depending on the objectives, the prioritization order may vary, with older essential workers typically targeted first but younger essential workers or seniors prioritized based on the goal of controlling spread or mortality. Various factors such as vaccine effectiveness, supply, transmission rate, and initial infections magnitude can influence the optimal prioritization strategy.
COVID-19 vaccines have been authorized in multiple countries, and more are under rapid development. Careful design of a vaccine prioritization strategy across sociodemographic groups is a crucial public policy challenge given that 1) vaccine supply will be constrained for the first several months of the vaccination campaign, 2) there are stark differences in transmission and severity of impacts from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) across groups, and 3) SARS-CoV-2 differs markedly from previous pandemic viruses. We assess the optimal allocation of a limited vaccine supply in the United States across groups differentiated by age and essential worker status, which constrains opportunities for social distancing. We model transmission dynamics using a compartmental model parameterized to capture current understanding of the epidemiological characteristics of COVID-19, including key sources of group heterogeneity (susceptibility, severity, and contact rates). We investigate three alternative policy objectives (minimizing infections, years of life lost, or deaths) and model a dynamic strategy that evolves with the population epidemiological status. We find that this temporal flexibility contributes substantially to public health goals. Older essential workers are typically targeted first. However, depending on the objective, younger essential workers are prioritized to control spread or seniors to directly control mortality. When the objective is minimizing deaths, relative to an untargeted approach, prioritization averts deaths on a range between 20,000 (when nonpharmaceutical interventions are strong) and 300,000 (when these interventions are weak). We illustrate how optimal prioritization is sensitive to several factors, most notably, vaccine effectiveness and supply, rate of transmission, and the magnitude of initial infections.

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