印度死产率的季节性和地区级地理空间变化:对二次数据的分析
Danyal Bin Islam1, Anchal Purbey1, Dripta Roy Choudhury2
1Centre for Technology Alternatives for Rural Areas (CTARA), Indian Institute of Technology Bombay, Mumbai, India.
Indian journal of pediatrics
|July 25, 2023
概括
死产仍然是一个重要的全球卫生问题,特别是在印度. 这项研究揭示了鲜明的地理模式和死胎季节性峰值,突出了使用颗粒式数据进行局部干预的需要.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 死产是一个关键的全球和印度的公共卫生问题.
- 有效的干预需要对死产率的细粒度,地方层面的数据.
- 印度的健康管理信息系统 (HMIS) 提供了宝贵的细粒度数据.
研究的目的:
- 分析印度9个州 (2017-2020年) 地区级死产的地理空间模式.
- 调查马哈拉施特拉州的分区变化和印度各地的季节性趋势.
- 为减少死产的有针对性的程序性干预提供信息.
主要方法:
- 分析了2017-2020年 (三年前的三年) 的HMIS死胎数据.
- 在选定的州的地区和分区层面进行地理空间分析.
- 在全印度一级探索死胎的时间 (季节性) 变化.
主要成果:
- 在印度高负担 (中部) 和低负担 (南部) 州确定了颗粒状空间模式和死产热点.
- 使用分区数据在马哈拉施特拉州观察到显著的州内变化.
- 从8月到10月检测到死产的季节性峰值,从2月到4月下降,与出生季节性相关.
结论:
- 死亡出生分布表现出显著的地理空间和季节性变化,需要局部化,特定于环境的干预措施.
- 提高数据细分度和定期分析对于有效的死产减少计划至关重要.
- 建议进行分散的项目实施,应对位置和季节因素.
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