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印度尼西亚儿童发育迟缓:评估贝叶斯空间条件自回归模型的性能
Aswi Aswi1, Septian Rahardiantoro2, Anang Kurnia3
1Statistics Department, Universitas Negeri Makassar, Makassar. aswi@unm.ac.id.
Geospatial health
|October 7, 2024
概括
发育迟缓仍然是印度尼西亚的主要健康问题. 关键的风险因素包括贫困和低出生体重,而不同的饮食可以降低发育迟缓的风险.
科学领域:
- 公共卫生 公共卫生
- 空间流行病学 空间流行病学
- 生物统计学 生物统计学
背景情况:
- 发育迟缓是一个关键的公共卫生问题,印度尼西亚的发育迟缓率在东南亚排名第三.
- 了解发育迟缓的空间分布和影响因素对于有效的干预策略至关重要.
研究的目的:
- 通过使用先进的统计建模,调查与印尼衰老相关的风险因素.
- 确定发育迟缓率高的地理区域,并为有针对性的公共卫生干预提供信息.
主要方法:
- 采用了750个贝叶斯空间条件自回归 (CAR) 模型,包括Besag-York-Mollie (BYM),CAR Leroux和本地化的CAR模型.
- 利用波桑分布来建模缩病例数量,并结合了30个配变组合与各种超先设置.
- 根据对模型选择标准的全面评估,选择了首选的模型.
主要成果:
- 贝叶斯局部化CAR模型具有三个共变量,允许2或3个集群,被确定为最合适的.
- 贫困和最近低出生体重 (LBW) 的出生与增长迟缓风险显著相关.
- 儿童饮食多样性与衰老风险呈反向关系,而苏拉韦西巴拉特省的风险最高,DKI雅加达的风险最低.
结论:
- 针对性干预措施应集中在减少贫困和LBW率,同时促进更大的儿童饮食多样性.
- 空间建模为推动迟缓患病率的复杂因素提供了有价值的见解.
- 基于证据的策略对于减轻弱势群体的发展迟缓至关重要.
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