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厄瓜多尔基多市 COVID-19 病例与环境污染物之间的关系。

Relationship between COVID-19 Cases and Environmental Contaminants in Quito, Ecuador.

机构信息

Faculty of Natural Resources, Escuela Superior Politecnica de Chimborazo, Panamericana Sur, km 1 ½, Riobamba EC-060155, Ecuador.

Independent Researcher, Riobamba EC-060155, Ecuador.

出版信息

Int J Environ Res Public Health. 2024 Oct 9;21(10):1336. doi: 10.3390/ijerph21101336.

DOI:10.3390/ijerph21101336
PMID:39457309
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11507386/
Abstract

The relationship between COVID-19 infections and environmental contaminants provides insight into how environmental factors can influence the spread of infectious diseases. By integrating epidemiological and environmental variables into a mathematical framework, the interaction between virus spread and the environment can be determined. The aim of this study was to evaluate the impact of atmospheric contaminants on the increase in COVID-19 infections in the city of Quito through the application of statistical tests. The data on infections and deaths allowed to identify the periods of greatest contagion and their relationship with the contaminants O, SO, CO, PM, and PM. A validated database was used, and statistical analysis was applied through five models based on simple linear regression. The models showed a significant relationship between SO and the increase in infections. In addition, a moderate correlation was shown with PM, O, and CO, and a low relationship was shown for PM. These findings highlight the importance of having policies that guarantee air quality as a key factor in maintaining people's health and preventing the proliferation of viral and infectious diseases.

摘要

新冠病毒感染与环境污染物之间的关系为我们提供了深入了解环境因素如何影响传染病传播的视角。通过将流行病学和环境变量整合到一个数学框架中，可以确定病毒传播与环境之间的相互作用。本研究旨在通过应用统计检验，评估大气污染物对基多市新冠病毒感染增加的影响。通过感染和死亡数据，确定了最大传染期及其与污染物 O、SO、CO、PM 和 PM 的关系。使用了经过验证的数据库，并通过基于简单线性回归的五个模型进行了统计分析。模型表明，SO 与感染增加之间存在显著关系。此外，还显示出与 PM、O 和 CO 之间存在中度相关性，与 PM 之间存在低度相关性。这些发现强调了制定空气质量政策的重要性，因为这是维护人们健康和预防病毒及传染病传播的关键因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41a2/11507386/b11877814df9/ijerph-21-01336-g018.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41a2/11507386/51d0e82bc1cc/ijerph-21-01336-g014.jpg
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