BACKGROUND As climate research continues to highlight the global shifts in temperature and precipitation, more research is needed to understand how climate anomalies impact human health outcomes. In this paper, we analyze one of the paths through which climate anomalies affect health (in particular, child's health) within one of poorest countries in the world (Honduras). METHODS Using the GPS location of the household, we link information on child health and house amenities from the Honduras Demographic Health Survey 2011-2012 dataset (a nationally representative sample) with climate data (1981-2012) from the Climate Research Unit (CRU TS3.21). We use generalized estimating equations for binary logistic models and spatial association to analyze these data. RESULTS We show that 1) areas experiencing significant temperature anomalies are also the ones with the worst child respiratory problems and 2) in households with poor amenities - such as access to sanitation and clean water, children tend to have a high incidence of respiratory diseases and diarrhea . CONCLUSIONS We conclude that, as climate change increases the incidence of climate anomalies, tackling in advance those household environmental factors responsible for poor child health outcomes (better sanitation and clean cooking fuel) can prevent a further deterioration of children's health in Honduras.

中文翻译：

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洪都拉斯的儿童健康，家庭环境，温度和降雨异常：社会气候数据链接分析。

背景技术随着气候研究继续强调温度和降水的全球变化，需要更多的研究来了解气候异常如何影响人类健康结果。在本文中，我们分析了世界上最贫穷的国家之一（洪都拉斯）中气候异常影响健康（尤其是儿童健康）的途径之一。方法使用家庭的GPS位置，我们将洪都拉斯2011-2012年人口健康调查数据集（全国代表性的样本）中有关儿童健康和住房设施的信息与气候研究组（CRU TS3）的气候数据（1981-2012）链接起来.21）。我们使用二进制逻辑模型和空间关联的广义估计方程来分析这些数据。结果我们表明：1）出现明显温度异常的地区也是儿童呼吸系统问题最严重的地区； 2）在便利设施较差的家庭中（例如，获得卫生和清洁水的环境），儿童往往患呼吸系统疾病的几率很高，并且腹泻。结论我们得出结论，随着气候变化增加气候异常的发生率，提前解决造成儿童健康状况差的家庭环境因素（更好的卫生条件和清洁的烹饪燃料）可以防止洪都拉斯儿童健康进一步恶化。