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Epidemiologic Opportunities: How Satellite Data Contribute to Studies of Air Pollution and Human Health

机译:流行病学机会:卫星数据如何有助于研究空气污染和人类健康

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1.Air pollution: main environmental risk factor for health 2.~3.7 million deaths in 2012 from outdoor air pollution globally 2.1 80% due to cardiovascular and cerebrovascular diseases 2.2Majority of impacts in low and middle income countries 3.PM_(2.5) is the largest contributor At Mount Sinai, we use NASA satellite data to reconstruct fine particulate pollution (PM_(2.5)) Aerosol Optical Depth (AOD) estimates light extinction by aerosol scattering/absorption in the atmospheric column 1.Daily models generate billions of predictions 2.Using machine-learning algorithms to make our models flexible and scalable 3.But great care is needed to avoid overfitting 627,255 grid cells 229 million predictions annually Our temperature and air pollution models to be used in a study of >50,000 children across the USA to look for links with rare health outcomes.
机译:1.污染:健康的主要环境风险因素2. 2012年户外空气污染的〜370万人死于全球2.1 80%,由于心血管和脑血管病2.2误区在低收入和中等收入国家的影响3.PM_(2.5)是 Mount Sinai的最大贡献者,我们使用NASA卫星数据重建细颗粒污染(PM_(2.5))气溶胶光学深度(AOD)估计大气柱中的气溶胶散射/吸收的光灭火1.Daily模型产生数十亿的预测2 。使用机器学习算法使我们的型号灵活且可扩展3.但是需要很好地谨慎,以避免每年使用627,255个网格电池22900万辆预测,我们的温度和空气污染模型在美国跨国公司> 50,000名儿童使用 寻找具有罕见健康结果的链接。

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