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Social and spatial processes associated with childhood diarrheal disease in Matlab, Bangladesh

机译：孟加拉国Matlab与儿童腹泻病相关的社会和空间过程

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摘要

We develop novel methods for conceptualizing geographic space and social networks to evaluate their respective and combined contributions to childhood diarrheal incidence. After defining maternal networks according to direct familial linkages between females, and road networks using satellite imagery of the study area, we use a spatial econometrics model to evaluate the significance of correlation terms relating childhood diarrheal incidence to the incidence observed within respective networks. Disease was significantly clustered within road networks across time, but only inconsistently correlated within maternal networks. These methods could be widely applied to systems in which both social and spatial processes jointly influence health outcomes.
机译：我们开发了新颖的方法来概念化地理空间和社交网络，以评估它们各自对儿童腹泻发生率的综合影响。在根据女性之间的直接家族联系和使用研究区域卫星图像的道路网络定义了孕产妇网络之后，我们使用空间计量经济学模型来评估将儿童腹泻发生率与在各个网络中观察到的发生率相关的相关术语的重要性。随着时间的流逝，疾病在道路网络中明显聚集，但在孕产妇网络中却不一致。这些方法可以广泛应用于社会和空间过程共同影响健康结果的系统。

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