Age-Stratified Model to Assess Health Outcomes of COVID-19 Vaccination Strategies, Ghana

被引:2
|
作者
Ofori, Sylvia K. [1 ,2 ]
Schwind, Jessica S. [3 ]
Sullivan, Kelly L. [2 ]
Chowell, Gerardo [4 ]
Cowling, Benjamin J. [5 ]
Fung, Isaac Chun -Hai [2 ]
机构
[1] Harvard TH Chan Sch Publ Hlth, Boston, MA 02115 USA
[2] Georgia Southern Univ Jiann, Ping Hsu Coll Publ Hlth, Statesboro, GA 30458 USA
[3] Georgia Southern Univ, Inst Hlth Logist & Analyt, Statesboro, GA USA
[4] Georgia State Univ, Sch Publ Hlth, Atlanta, GA USA
[5] Univ Hong Kong, WHO Collaborating Ctr Infect Dis Epidemiol & Contr, Sch Publ Hlth, Hong Kong, Peoples R China
关键词
D O I
10.3201/eid2902.221098
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
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.
引用
收藏
页码:360 / 370
页数:11
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