泰国队列研究中的多病症的空间分析
Xiyu Feng1,2, Haribondhu Sarma3,4, Nasser Bagheri5
1National Centre of Epidemiology and Population Health, the Australian National University, Canberra, Australia. u6453474@anu.edu.au.
概括
在泰国,多种疾病的患病率在发达地区较高,在曼谷和特定的省份确定了热点. 这种空间分析有助于将卫生资源定位到最需要的地区.
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:
- 通过2013年泰国队列研究 (TCS) 数据,研究了泰国多发病率的空间和社会人口统计学决定因素.
- 多病症,定义为两种或多种慢性疾病的共存,构成了重大的公共卫生挑战.
研究的目的:
- 确定与泰国各地多病发病率相关的空间模式和社会人口统计因素.
- 为有针对性的公共卫生干预和资源分配提供证据.
主要方法:
- 计算了省级和地区级的原始和年龄调整的多病发病率.
- 采用热点分析来检测具有统计意义的高 (热点) 和低 (冷点) 流行率的集群.
- 利用顺序逻辑回归来识别多病性热点的社会人口学预测因素.
主要成果:
- 辛布里省呈现了最高的省级年龄调整流行率 (18.26%),而Phichit省的Sak Lek区是地区流行率最高的地区流行率 (37.13%).
- 多发病症的冷点集中在泰国南部.
- 48个地区被确定为热点,其中19个位于曼谷. 人口密度,老龄化指数和平均教育年数在热点地区明显高于热点地区.
结论:
- 泰国多种疾病的患病率与区域发展有积极的相关性.
- 空间集群分析为决策者提供了关键的见解,帮助他们设计定制的干预措施,并有效地将卫生资源分配给未满足需求的地区.
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