Several peer-reviewed papers and reviews have examined the relationship between exposure to air pollution and COVID-19 spread and severity. However, many of the existing reviews on this topic do not extensively present the statistical challenges associated with this field, do not provide comprehensive guidelines for future researchers, and review only the results of a relatively small number of papers. We reviewed 139 papers, 127 of which reported a statistically significant positive association between air pollution and adverse COVID-19 health outcomes. Here, we summarize the evidence, describe the statistical challenges, and make recommendations for future research. To summarize the 139 papers with data from geographical locations around the world, we also present anopen-source data visualization tool that summarizes these studies and allows the research community to contribute evidence as new research papers are published.

中文翻译：

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空气污染对全球 COVID-19 健康结果影响的文献综述：统计挑战和数据可视化

几篇经过同行评审的论文和评论研究了空气污染暴露与 COVID-19 传播和严重程度之间的关系。然而，关于该主题的许多现有评论并没有广泛提出与该领域相关的统计挑战，没有为未来的研究人员提供全面的指南，并且仅评论了相对少量论文的结果。我们查阅了 139 篇论文，其中 127 篇报告了空气污染与 COVID-19 不良健康结果之间存在统计学上显着的正相关关系。在这里，我们总结了证据，描述了统计挑战，并为未来的研究提出了建议。为了总结包含来自世界各地的数据的 139 篇论文，我们还提供了一个开源数据可视化工具，该工具总结了这些研究，并允许研究界在新研究论文发表时提供证据。