The relevance between several air pollutants and the covid spread

Qiaochu Xing

doi:10.54097/hset.v17i.2427

Authors

Qiaochu Xing

DOI:

https://doi.org/10.54097/hset.v17i.2427

Keywords:

Air pollutants, Covid, linear regression, p-value, hypothesis testing, correlation.

Abstract

COVID-19 has become a global public health problem. This study aimed to explore the relationship between ambient air pollutants and the infection caused by the novel coronavirus. Daily confirmed cases, of air pollution concentration, in 43 cities were obtained from January 23, 2020, to February 20, 2020, in China. I applied a generalized logit model to investigate the associations of six air pollutants (PM_2.5, PM₁₀, SO₂, CO, NO₂ , and O₃) with COVID-19 confirmed cases. After generating the model and checking the p-value, I found that PM2.5, PM10, and O3 are correlated with the increase in covid cases.

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