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2008 - 2013年西非儿童腹泻病的地理空间分布:一项协变量调整聚类分析

The geo-spatial distribution of childhood diarrheal disease in West Africa, 2008-2013: A covariate-adjusted cluster analysis.

作者信息

Dunn Gillian, Johnson Glen D

机构信息

City University of New York Graduate School of Public Health and Health Policy, 55 W 125th St, New York, NY 10027, USA.

出版信息

Spat Spatiotemporal Epidemiol. 2018 Aug;26:127-141. doi: 10.1016/j.sste.2018.06.005. Epub 2018 Jun 19.

Abstract

Diarrhea is a major cause of morbidity and mortality among children in West Africa. To determine whether there are areas of heightened risk and if so, how they may be influenced by household and climatic variables, we describe the geo-spatial distribution of childhood diarrhea in ten countries of West Africa for the period 2008-2013 using data from Demographic and Health Surveys. The purely spatial scan statistic was applied, where the observed diarrhea cases were modeled as a Poisson variable and were compared to expected cases predicted from non-spatial logistic regression. Covariate-adjusted cluster analysis detected statistically significant clusters (p < 0.05) in ten cities and thirteen largely rural areas. Areas with particularly high relative risk included Cotonou, Benin (7.16), and Kaduna, Nigeria (7.21). The study demonstrates the importance of development and adaptation measures to protect child health, and that these interventions should be tailored to meet the needs of specific populations.

摘要

腹泻是西非儿童发病和死亡的主要原因。为了确定是否存在高风险地区,以及如果存在,这些地区如何受到家庭和气候变量的影响,我们利用人口与健康调查的数据,描述了2008年至2013年期间西非十个国家儿童腹泻的地理空间分布。应用了纯空间扫描统计方法,将观察到的腹泻病例建模为泊松变量,并与非空间逻辑回归预测的预期病例进行比较。协变量调整聚类分析在十个城市和十三个主要农村地区检测到具有统计学意义的聚类(p < 0.05)。相对风险特别高的地区包括贝宁科托努(7.16)和尼日利亚卡杜纳(7.21)。该研究表明了制定和采取保护儿童健康的发展及适应措施的重要性,并且这些干预措施应根据特定人群的需求进行调整。

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