A Bhaskar, J Chandra, H Hashemi, K Butler, L Bennett, Jacqueline Cellini, Danielle Braun, Francesca Dominici
{"title":"全球空气污染对 COVID-19 健康结果影响的文献综述:统计挑战与数据可视化。","authors":"A Bhaskar, J Chandra, H Hashemi, K Butler, L Bennett, Jacqueline Cellini, Danielle Braun, Francesca Dominici","doi":"10.1146/annurev-publhealth-071521-120424","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":50752,"journal":{"name":"Annual Review of Public Health","volume":null,"pages":null},"PeriodicalIF":21.4000,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Literature Review of the Effects of Air Pollution on COVID-19 Health Outcomes Worldwide: Statistical Challenges and Data Visualization.\",\"authors\":\"A Bhaskar, J Chandra, H Hashemi, K Butler, L Bennett, Jacqueline Cellini, Danielle Braun, Francesca Dominici\",\"doi\":\"10.1146/annurev-publhealth-071521-120424\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":50752,\"journal\":{\"name\":\"Annual Review of Public Health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":21.4000,\"publicationDate\":\"2023-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual Review of Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1146/annurev-publhealth-071521-120424\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/12/21 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Public Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1146/annurev-publhealth-071521-120424","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/12/21 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
A Literature Review of the Effects of Air Pollution on COVID-19 Health Outcomes Worldwide: Statistical Challenges and Data Visualization.
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.
期刊介绍:
The Annual Review of Public Health has been a trusted publication in the field since its inception in 1980. It provides comprehensive coverage of important advancements in various areas of public health, such as epidemiology, biostatistics, environmental health, occupational health, social environment and behavior, health services, as well as public health practice and policy.
In an effort to make the valuable research and information more accessible, the current volume has undergone a transformation. Previously, access to the articles was restricted, but now they are available to everyone through the Annual Reviews' Subscribe to Open program. This open access approach ensures that the knowledge and insights shared in these articles can reach a wider audience. Additionally, all the published articles are licensed under a CC BY license, allowing users to freely use, distribute, and build upon the content, while giving appropriate credit to the original authors.