根据五种动态模型,在泰国三个监狱中评估结核病传播概率
Nithinan Mahawan1, Thanapoom Rattananupong1, Puchong Sri-Uam2
1Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
PloS one
|July 19, 2024
概括
这项研究比较了泰国监狱中的五种结核病 (TB) 传播模式,发现通风和传染病患者人数显著影响了结核病的传播. 解决这些因素对于减少在惩戒设施中的传播至关重要.
科学领域:
- 流行病学 流行病学
- 环境健康 环境健康
- 数学建模的数学建模
背景情况:
- 结核病 (TB) 仍然是一个重大的公共卫生问题,特别是在监狱等聚集的环境中.
- 准确的结核病传播建模对于有效的控制策略至关重要.
研究的目的:
- 通过五种不同的动态模型估计的结核病传播概率进行比较.
- 确定各种模型参数对泰国监狱内结核病传播概率的影响.
主要方法:
- 在泰国三个监狱的985个监狱细胞中进行了横截面研究.
- 结核病传播概率是使用威尔斯-莱利,鲁德尼克和米尔顿 (ACH和L/s/p),伊萨罗等人和应用SEIR模型计算的.
- 模型协议使用斯皮尔曼等级相关性和布兰德-阿尔特曼图表进行评估,通过多重线性回归分析参数影响.
主要成果:
- 细胞间结核病传播概率的中位数为0.052.
- 模型显示了不一致的概率估计,应用SEIR和鲁德尼克和米尔顿 (L/s/p) 与威尔斯-莱利模型的差异最大.
- 在大多数模型中,通风率和传染性结核病患者数量是最有影响力的参数.
结论:
- 通风率和感染个体的数量是监狱中的结核病传播的关键因素.
- 应用SEIR模型强调了囚犯密度,个人空间和营业额率作为重要的参数.
- 针对这些参数的紧急干预是必要的,以减轻在惩戒机构中的结核病传播.
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