Suppr超能文献

年龄分层模型评估 COVID-19 疫苗接种策略对加纳的健康结果的影响。

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

出版信息

Emerg Infect Dis. 2023 Feb;29(2):360-370. doi: 10.3201/eid2902.221098. Epub 2023 Jan 10.

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.

摘要

我们使用年龄分层的隔室模型评估了加纳各种 COVID-19 疫苗接种策略对健康结果的影响。我们将人群分为 3 个年龄组:<25 岁、25-64 岁和≥65 岁。我们使用 2 个接触矩阵探索了 5 种疫苗优化方案,假设可以在 3 个月或 6 个月内为 100 万人接种疫苗。我们评估了这些疫苗优化策略对初始菌株的效果,然后对 Delta 变体进行了敏感性分析。我们发现,对于主要矩阵,对于初始菌株和 Delta 变体,为<25 岁的人群接种疫苗与最低的累计感染相关。对于两种菌株,在所有情况下,优先考虑老年人(≥65 岁)都与最低的累计死亡相关。两种接触矩阵的结果之间的一致性取决于疫苗推出时间和疫苗接种计划的目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecb7/9881782/40c0e1c616de/22-1098-F1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验