Amegbor Prince M, Borges Sergio S, Pysklywec Alex, Sabel Clive E
Big Data Centre for Environment and Health (BERTHA), Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark; Department of Environmental Science, Aarhus University,Frederiksborgvej 399, DK-4000 Roskilde, Denmark.
Department of Geography, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Spat Spatiotemporal Epidemiol. 2022 Feb;40:100472. doi: 10.1016/j.sste.2021.100472. Epub 2021 Dec 8.
There is limited knowledge on the effect of contextual and environmental factors on the risk of anaemia, as well as the spatial distribution of anaemia in the Sub-Saharan Africa region. In this study, we used multi-country data from the Demographic & Health survey (DHS) with 270,011 observations and PM data from NASA, applied to the spatial risk pattern of anaemia in the SSA region. The prevalence of anaemia amongst women (41%) was almost twice that of men (22%). A Bayesian hierarchical model showed that individual household, neighbourhood and regional socioeconomic factors were significantly associated with the likelihood of being anaemic. 1 μg/m increase in cumulative lifetime PM exposure accounted for 1% (β = 0.011, CI = 0.008 - 0.015) increase in the likelihood of being anaemic. The results suggest the need for a multidimensional approach to tackle anaemia in the Sub-Saharan African region and identify high-risk areas for target intervention policies or programs.
关于背景和环境因素对贫血风险的影响以及撒哈拉以南非洲地区贫血的空间分布，目前所知有限。在本研究中，我们使用了来自人口与健康调查（DHS）的多国数据（270,011条观测数据）以及美国国家航空航天局（NASA）的颗粒物（PM）数据，来研究撒哈拉以南非洲地区贫血的空间风险模式。女性贫血患病率（41%）几乎是男性（22%）的两倍。贝叶斯分层模型显示，家庭、邻里和区域社会经济因素与贫血可能性显著相关。累积终生PM暴露每增加1μg/m，贫血可能性增加1%（β = 0.011，可信区间 = 0.008 - 0.015）。结果表明，需要采取多维方法来解决撒哈拉以南非洲地区的贫血问题，并确定实施目标干预政策或项目的高风险地区。
