Department of Geography, University of North Carolina-Chapel Hill, USA.
Environ Health. 2010 Jan 14;9:2. doi: 10.1186/1476-069X-9-2.
Regional environmental factors have been shown to be related to cholera. Previous work in Bangladesh found that temporal patterns of cholera are positively related to satellite-derived environmental variables including ocean chlorophyll concentration (OCC).
This paper investigates whether local socio-economic status (SES) modifies the effect of regional environmental forces. The study area is Matlab, Bangladesh, an area of approximately 200,000 people with an active health and demographic surveillance system. Study data include (1) spatially-referenced demographic and socio-economic characteristics of the population; (2) satellite-derived variables for sea surface temperature (SST), sea surface height (SSH), and OCC; and (3) laboratory confirmed cholera case data for the entire population. Relationships between cholera, the environmental variables, and SES are measured using generalized estimating equations with a logit link function. Additionally two separate seasonal models are built because there are two annual cholera epidemics, one pre-monsoon, and one post-monsoon.
SES has a significant impact on cholera occurrence: the higher the SES score, the lower the occurrence of cholera. There is a significant negative association between cholera incidence and SSH during the pre-monsoon period but not for the post-monsoon period. OCC is positively associated with cholera during the pre-monsoon period but not for the post-monsoon period. SST is not related to cholera incidence.
Overall, it appears cholera is influenced by regional environmental variables during the pre-monsoon period and by local-level variables (e.g., water and sanitation) during the post-monsoon period. In both pre- and post-monsoon seasons, SES significantly influences these patterns, likely because it is a proxy for poor water quality and sanitation in poorer households.
区域环境因素已被证明与霍乱有关。孟加拉国之前的研究发现,霍乱的时间模式与卫星衍生的环境变量呈正相关,包括海洋叶绿素浓度(OCC)。
本文研究了当地社会经济地位(SES)是否会改变区域环境力量的影响。研究区域是孟加拉国的 Matlab,这是一个约有 20 万人的地区,拥有活跃的健康和人口监测系统。研究数据包括:(1)人口的空间参考人口统计和社会经济特征;(2)用于海面温度(SST)、海面高度(SSH)和 OCC 的卫星衍生变量;(3)整个人群的实验室确诊霍乱病例数据。使用具有对数链接函数的广义估计方程来测量霍乱、环境变量和 SES 之间的关系。此外,由于有两个年度霍乱流行,一个是前季风期,另一个是后季风期,因此建立了两个单独的季节性模型。
SES 对霍乱的发生有显著影响:SES 得分越高,霍乱的发生率越低。在前季风期,SSH 与霍乱发病率呈显著负相关,但在后季风期则不然。在季风前,OCC 与霍乱呈正相关,但在后季风期则不然。SST 与霍乱发病率无关。
总体而言,似乎在前季风期,霍乱受区域环境变量的影响,在后季风期则受地方一级变量(如供水和卫生)的影响。在前季风和后季风两个季节中,SES 显著影响这些模式,这可能是因为 SES 是贫困家庭水质和卫生条件较差的一个指标。