利用移动健康数据评估野地火灾烟雾的空间变化健康效应
Estimating spatially varying health effects of wildland fire smoke using mobile health data
AI总结：
本文提出带地理核加权的结构嵌套均值模型双重稳健估计量，结合逆概率加权处理缺失，并用于 Smoke Sense 移动健康数据以估计烟雾防护行为的时空变化健康效应。
摘要：
野地火灾烟雾暴露对公众健康构成日益严重的威胁，因此越来越需要研究防护行为在减少不良健康结局方面的效应。新兴智能手机应用提供了前所未有的机会，可在大量个体经历暴露的时间和地点向其传递健康风险沟通信息，并随后研究其有效性，但同时也带来了新的方法学挑战。Smoke Sense 是一个公民科学项目，提供交互式智能手机应用平台，使参与者能够接触有关空气质量及保护自身健康方法的信息，并记录自己的健康症状和为减少烟雾暴露所采取的行动。我们提出了一种新的结构嵌套均值模型参数的双重稳健估计量，通过采用地理核加权的局部估计方程方法来解释空间和时间变化效应。此外，我们的分析框架具有足够的灵活性，可通过估计函数的逆概率加权来处理信息性缺失。我们使用大量模拟研究评估了这一新方法，并将其应用于公民科学家报告的 Smoke Sense 数据，以扩充有关健康预防措施与改善健康结局之间关系的知识库。我们的结果估计了防护行为效应如何随空间和时间变化，并发现防护行为在减少健康症状方面，在美国西南部比西北部地区具有更显著的效应。
英文摘要：
Wildland fire smoke exposures are an increasing threat to public health, and thus there is a growing need for studying the effects of protective behaviors on reducing health outcomes. Emerging smartphone applications provide unprecedented opportunities to deliver health risk communication messages to a large number of individuals when and where they experience the exposure and subsequently study the effectiveness, but also pose novel methodological challenges. Smoke Sense, a citizen science project, provides an interactive smartphone app platform for participants to engage with information about air quality and ways to protect their health and record their own health symptoms and actions taken to reduce smoke exposure. We propose a new, doubly robust estimator of the structural nested mean model parameter that accounts for spatially- and time-varying effects via a local estimating equation approach with geographical kernel weighting. Moreover, our analytical framework is flexible enough to handle informative missingness by inverse probability weighting of estimating functions. We evaluate the new method using extensive simulation studies and apply it to Smoke Sense data reported by the citizen scientists to increase the knowledge base about the relationship between health preventive measures and improved health outcomes. Our results estimate how the protective behaviors effects vary over space and time and find that protective behaviors have more significant effects on reducing health symptoms in the Southwest than the Northwest region of the USA.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
