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Age-Stratified Model to Assess Health Outcomes of COVID-19 Vaccination Strategies, Ghana
Emerging Infectious Diseases
  • Sylvia Ofori, Georgia Southern University, Jiann-Ping Hsu College of Public Health
  • Jessica S. Schwind, Georgia Southern University, Jiann-Ping Hsu College of Public Health
  • Kelly L. Sullivan, Georgia Southern University, Jiann-Ping Hsu College of Public Health
  • Gerardo Chowell, Georgia State University
  • Benjamin Cowling, University of Hong Kong
  • Isaac Fung, Georgia Southern University, Jiann-Ping Hsu College of Public Health
Document Type
Article
Publication Date
1-10-2023
DOI
10.3201/eid2902.221098
Abstract

We assessed the effect of various COVID-19 vaccination strategies on health outcomes in Ghana by using an age-stratified compartmental model. We stratified the population into 3 age groups: <25 years, 25–64 years, and ≥65 years. We explored 5 vaccination optimization scenarios using 2 contact matrices, assuming that 1 million persons could be vaccinated in either 3 or 6 months. We assessed these vaccine optimization strategies for the initial strain, followed by a sensitivity analysis for the Delta variant. We found that vaccinating persons <25 years of age was associated with the lowest cumulative infections for the main matrix, for both the initial strain and the Delta variant. Prioritizing the elderly (≥65 years of age) was associated with the lowest cumulative deaths for both strains in all scenarios. The consensus between the findings of both contact matrices depended on the vaccine rollout period and the objective of the vaccination program.

Comments

Georgia Southern University faculty member, Jessica S. Schwind, Kelly L. Sullivan and Isaac Chun-Hai Fung co-authored Age-Stratified Model to Assess Health Outcomes of COVID-19 Vaccination Strategies, Ghana.

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Citation Information
Sylvia Ofori, Jessica S. Schwind, Kelly L. Sullivan, Gerardo Chowell, et al.. "Age-Stratified Model to Assess Health Outcomes of COVID-19 Vaccination Strategies, Ghana" Emerging Infectious Diseases Vol. 29 Iss. 2 (2023)
Available at: http://works.bepress.com/isaac_fung1/181/