估计尼日利亚的艾滋病毒流行率和负担:贝叶斯预测建模研究
Amobi Andrew Onovo1, Adedayo Adeyemi2, David Onime3
1Institute of Global Health, University of Geneva, Switzerland.
EClinicalMedicine
|August 4, 2023
概括
贝叶斯模型提供了一种可靠的方法来估计尼日利亚的州级艾滋病毒流行率,给出了2.1%的全国估计,并确定了各州的显著差异. 这种方法增强了艾滋病毒监测和干预计划.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
- 公共卫生 公共卫生
背景情况:
- 基于人口的艾滋病毒发病率调查是昂贵和耗时的.
- 调查参与偏差可能会影响流行率估计的准确性.
- 及时可靠的州级艾滋病毒流行数据对于有效的公共卫生干预至关重要.
研究的目的:
- 描述贝叶斯统计建模的应用,用于估计尼日利亚州级艾滋病毒流行率.
- 在次国家层面提供可靠和及时的艾滋病毒流行率估计.
- 为公共卫生规划和艾滋病毒控制的干预提供信息.
主要方法:
- 分析2020年10月至2021年9月的国家艾滋病毒检测服务 (HTS) 数据.
- 使用贝叶斯线性模型与正常先前分布和马尔科夫链蒙特卡洛 (MCMC) 方法.
- 根据国家调查 (NAIIS,NDHS,MICS) 的人口,经济,生物和社会共变量进行调整.
主要成果:
- 在15-49岁的成年人中,估计全国艾滋病毒患病率为2.1% (95% CI:1.5-2.7%),约占200万人.
- 观察到艾滋病毒发病率的州级差异很大,其中贝努埃 (5.7%) 和里弗斯 (5.2%) 的发病率最高.
- 吉川州报告艾滋病毒流行率最低 (0.3%).
结论:
- 贝叶斯模型提供了一种灵活和全面的方法,用于使用程序数据估计州级HIV血清流行率.
- 对艾滋病毒监测计划数据的投资对于次国家监测至关重要.
- 这种方法改善了尼日利亚艾滋病毒流行病学控制的规划和干预措施.
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