This analysis examines whether salinity in drinking water is associated with pre-eclampsia and eclampsia (PE/E), a leading cause of maternal morbidity and mortality. Bangladesh’s national health information system data were extracted at the district level (n = 64) to assess PE/E rates, and these were overlaid with three environmental measures approximating drinking water salinity, remotely sensed low-elevation coastal zone (LECZ), monthly rainfall data, and electrical conductivity of groundwater (i.e., water salinity). Results from a negative binomial fixed effects model suggest PE/E rates are higher with less rainfall (dry season), lower population density, and that district level rates of PE/E increase with higher groundwater salinity and in the high risk LECZ category closest to the coast. Results suggest that drinking water salinity may be associated with PE/E and that using national health surveillance data can improve understanding of this association. This approach can potentially be leveraged in the future to inform targeted interventions to high risk regions and times.

中文翻译：

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2016-2018年孟加拉国区级先兆子痫和子痫与饮用水盐度的时空格局

该分析检查了饮用水中的盐分是否与先兆子痫和子痫 (PE/E) 相关，这是孕产妇发病率和死亡率的主要原因。孟加拉国的国家卫生信息系统数据在区级 (n = 64) 进行提取以评估 PE/E 率，并将这些数据与接近饮用水盐度、遥感低海拔沿海地区 (LECZ)、每月降雨量的三种环境措施叠加数据和地下水的电导率（即水的盐度）。负二项式固定效应模型的结果表明，降雨量较少（旱季）、人口密度较低时 PE/E 率较高，并且地区级 PE/E 率随地下水盐度升高而增加，并且在高风险 LECZ 类别中最接近于海岸。结果表明，饮用水盐度可能与 PE/E 相关，使用国家健康监测数据可以提高对这种关联的理解。未来可能会利用这种方法来为高风险地区和时间提供有针对性的干预措施。