印度儿童结核病相关因素的空间模式和多层次分析
Mohan Balakrishnan1, Varadharajan R1
1Department of Mathematics, SRM Institute of Science and Technology, Kattankulathur-603203, Tamil Nadu, India.
这项研究使用多层模型在印度确定了62个高风险的儿科结核热点. 针对性的区域消除计划对于这个弱势群体至关重要.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 空间分析 空间分析
背景情况:
- 儿童结核病 (TB) 是全球儿童死亡和发病的重要原因,特别是在印度.
- 儿童的诊断延迟加剧了结核病相关的健康问题.
- 有限的研究专门针对印度等高负担国家的儿科结核病.
研究的目的:
- 确定印度儿童结核病高风险地区.
- 为消除结核病制定有针对性的区域政策提供信息.
- 分析导致儿童结核病发病率的个人层面因素.
主要方法:
- 利用局部集群方法检测儿科结核病热点.
- 采用多层次分析来考虑各个层面 (个人,地区,州) 的因素.
- 分析了来自全国家庭健康调查-5 (2019-20) 的数据,涵盖了印度各地的636,699个家庭.
主要成果:
- 确定了62个儿童结核病热点.
- 多级模型阐明了与地区和州级结核病发病率相关的个体级别属性.
- 空间分析证实了在确定的热点中存在显著的自相关性.
结论:
- 地区和州层面对儿科结核病发病率的变化做出了重大贡献.
- 确定的热点及其空间模式强调了针对结核病消除战略的必要性.
- 这些发现支持实施数据驱动的,针对儿童结核病控制的地理位置的干预措施.
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