Barceló Maria A, Saez Marc
Research Group On Statistics, Econometrics and Health (GRECS), and CIBER of Epidemiology and Public Health (CIBERESP), University of Girona, Carrer de la Universitat de Girona 10, Campus de Montilivi, 17003 Girona, Spain.
CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Environ Sci Eur. 2021;33(1):108. doi: 10.1186/s12302-021-00550-7. Epub 2021 Sep 10.
While numerous studies have assessed the effects of environmental (meteorological variables and air pollutants) and socioeconomic variables on the spread of the COVID-19 pandemic, many of them, however, have significant methodological limitations and errors that could call their results into question. Our main objective in this paper is to assess the methodological limitations in studies that evaluated the effects of environmental and socioeconomic variables on the spread of COVID-19.
We carried out a systematic review by conducting searches in the online databases PubMed, Web of Science and Scopus up to December 31, 2020. We first excluded those studies that did not deal with SAR-CoV-2 or COVID-19, preprints, comments, opinion or purely narrative papers, reviews and systematic literature reviews. Among the eligible full-text articles, we then excluded articles that were purely descriptive and those that did not include any type of regression model. We evaluated the risk of bias in six domains: confounding bias, control for population, control of spatial and/or temporal dependence, control of non-linearities, measurement errors and statistical model. Of the 5631 abstracts initially identified, we were left with 132 studies on which to carry out the qualitative synthesis. Of the 132 eligible studies, we evaluated 63.64% of the studies as high risk of bias, 19.70% as moderate risk of bias and 16.67% as low risk of bias.
All the studies we have reviewed, to a greater or lesser extent, have methodological limitations. These limitations prevent conclusions being drawn concerning the effects environmental (meteorological and air pollutants) and socioeconomic variables have had on COVID-19 outcomes. However, we dare to argue that the effects of these variables, if they exist, would be indirect, based on their relationship with social contact.
The online version contains supplementary material available at 10.1186/s12302-021-00550-7.
尽管众多研究评估了环境(气象变量和空气污染物)及社会经济变量对新冠疫情传播的影响,但其中许多研究存在重大方法学局限性和错误,可能使其结果受到质疑。本文的主要目的是评估那些评估环境和社会经济变量对新冠疫情传播影响的研究中的方法学局限性。
我们通过在在线数据库PubMed、科学网和Scopus中进行检索,开展了一项系统综述,检索截止至2020年12月31日。我们首先排除那些未涉及严重急性呼吸综合征冠状病毒2(SARS-CoV-2)或新冠病毒病(COVID-19)的研究、预印本、评论、观点或纯叙述性论文、综述以及系统文献综述。在符合条件的全文文章中,我们随后排除了纯描述性文章以及未包含任何类型回归模型的文章。我们在六个领域评估了偏倚风险:混杂偏倚、人群对照、空间和/或时间依赖性控制、非线性控制、测量误差和统计模型。在最初识别出的5631篇摘要中,我们最终筛选出132项研究进行定性综合分析。在这132项符合条件的研究中,我们将63.64%的研究评估为高偏倚风险,19.70%为中度偏倚风险,16.67%为低偏倚风险。
我们所综述的所有研究在不同程度上都存在方法学局限性。这些局限性使得无法就环境(气象和空气污染物)及社会经济变量对新冠疫情结果的影响得出结论。然而,基于这些变量与社会接触的关系,我们敢断言,如果这些变量存在影响,那也将是间接的。
在线版本包含可在10.1186/s12302-021-00550-7获取的补充材料。