越南结核病的贝叶斯空间-时间建模:来自本地区域分析的见解
Long Viet Bui1, Romain Ragonnet1, Angus E Hughes1
1School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Epidemiology and infection
|February 12, 2025
概括
空间分析显示,南丁省的结核病 (TB) 传播与贫困有关. 较高的贫困率与增加的结核病通知相关,突出了疾病传播的社会经济因素.
科学领域:
- 流行病学 流行病学
- 空间分析 空间分析
- 疾病绘制地图.
背景情况:
- 结核病 (TB) 传播动态很复杂,受到各种传播范围和长期潜伏期的影响.
- 空间分析和疾病测绘有助于更好地了解结核病流行病学.
研究的目的:
- 分析2013-2022年越南南丁省结核病通知的时空模式.
- 用贝叶斯空间时间模型识别与结核病分布和趋势相关的因素.
主要方法:
- 利用空间自相关性分析来检测结核病例集群.
- 采用贝叶斯的时空模型,包括具有共变量的模型,分析结核病通知数据.
- 根据合适性和复杂性评估模型性能.
主要成果:
- 结核病通知率在2017年达到顶峰,随后在2021年下降.
- 在整个研究期间,在社区层面观察到结核病例的显著空间自相关性.
- 最适合的模型表明,每增加1%的贫困家庭比例,结核病通知增加1.3%.
结论:
- 贫困是影响该地区结核病传播动态的重要社会经济决定因素.
- 将当地社会经济数据与时空分析相结合,可以提高对结核病流行病学的理解.
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