Modeling infections and deaths averted due to COVID-19 vaccination strategies in Ghana

Other preprint OA: gold CC-BY-NC-ND-4.0
📄 Open PDF View at publisher

Abstract

This study assessed the impact of various COVID-19 vaccination strategies on health outcomes in Ghana using an age-stratified compartmental model. The population was stratified into three age groups: <25 years, 25-64 years, and 65+ years. Five vaccination optimization scenarios were explored, assuming that one million persons could be vaccinated in three versus six months. We also performed uncertainty analysis by assuming that the available doses were halved and doubled. The vaccine optimization strategies were assessed for the initial strain, followed by a sensitivity analysis for the delta variant by varying the reproduction number and vaccine efficacy. The results showed that vaccinating individuals <65 years was associated with the lowest cumulative infections when one million persons were vaccinated over three months for both the initial strain and the delta variant. On the contrary, prioritizing the elderly (65+) was associated with the lowest cumulative deaths for both strains. One-sentence summary An age-stratified model of COVID-19 vaccination in Ghana found vaccinating individuals <65 years was associated with the lowest cumulative infections when one million persons were vaccinated over three months while prioritizing the elderly (65+) was associated with the lowest cumulative deaths.

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

europepmc
last seen: 2026-05-19T01:45:01.086888+00:00
unpaywall
last seen: 2026-05-21T05:10:58.409756+00:00
License: CC-BY-NC-ND-4.0