The novel coronavirus (COVID-19), first reported in late December 2019, has affected the lives of many people throughout the world. Significant studies have been conducted on this pandemic, some of which have addressed understanding the relationship between different air pollutants and confirmed cases. In this study, the effects of four air pollutants (carbon monoxide, nitrogen dioxide, ozone, and sulfur dioxide) were assessed from February 19 to March 22, 2020 to explore how they can affect COVID-19 contagion in Iran. The mean concentrations of air pollutants were extracted from Sentinel 5P data. The COVID-19 confirmed case densities of two provinces, Semnan and Qom, were more than all other provinces. The effect of pollutants on the confirmed case densities was analyzed using multiple linear regression in order to estimate the impact coefficients for individual provinces. The impact coefficients determine the level of each pollutant’s contribution to the density of total confirmed cases. Carbon monoxide, nitrogen dioxide, sulfur dioxide, and ozone had both considerable negative and positive correlations with the density of confirmed COVID-19 cases, although sulfur dioxide was correlated more negatively than positively. In Semnan, a high hot spot province, nitrogen dioxide had the most significant effect on the density of confirmed cases among all pollutants, while the effect of carbon monoxide was greater in Qom. The results indicated that even short-term exposure to higher concentrations of the pollutants could lead to an increased risk of COVID-19 outbreaks, which should be considered in adopting adequate and appropriate control policies to manage the disease.

新型冠状病毒 (COVID-19) 于 2019 年 12 月下旬首次报道，已经影响了全世界许多人的生活。已经对这一流行病进行了大量研究，其中一些研究涉及了解不同空气污染物与确诊病例之间的关系。在这项研究中，从 2020 年 2 月 19 日至 3 月 22 日评估了四种空气污染物（一氧化碳、二氧化氮、臭氧和二氧化硫）的影响，以探索它们如何影响伊朗的 COVID-19 传染。从 Sentinel 5P 数据中提取空气污染物的平均浓度。塞姆南和库姆两个省的 COVID-19 确诊病例密度高于所有其他省份。使用多元线性回归分析污染物对确诊病例密度的影响，以估计各省的影响系数。影响系数决定了每种污染物对总确诊病例密度的贡献程度。一氧化碳、二氧化氮、二氧化硫和臭氧与确诊的 COVID-19 病例的密度有相当大的负相关和正相关，尽管二氧化硫的负相关多于正相关。在高热点省份塞姆南，在所有污染物中，二氧化氮对确诊病例密度的影响最为显着，而一氧化碳对库姆的影响更大。