TABLE 6.
Author | Country | Period | Analysis method | Quantified results |
---|---|---|---|---|
Liu et al 2 | 9 countries | 21 Jan to 20 May 2020 | Discontinuous linear regression | SO2 increased the propagation speed of COVID‐19 infection, which is significant in Korea and China, respectively. |
Jiang et al 46 | Wuhan, China | 25 Jan to 7 Apr 2020 | The Pearson's and Poisson's regression models | SO2 was inversely associated with COVID‐19 deaths. |
Wang et al 47 | 337 prefecture‐level cities in China | NA | Spearman's rank correlation analysis and multiple linear regression | SO2 was positively correlated with newly confirmed cases. |
Zhu et al 49 | 120 cities, China | 23 Jan to 29 Feb 2020 | Generalized additive model | 10 μg/m3 increase of SO2 was associated with a 7.79% decrease (95% CI: −14.57 to −1.01) in COVID‐19 confirmed cases. |
Landoni et al 63 | 33 European countries | NA | Pearson's correlation analysis | SO2 was positively correlated with positive COVID‐19 cases and deaths. |
Jiang et al 64 | Wuhan, Xiaogan and Huanggang, China | 25 Jan to 29 Feb 2020 | Multivariate Poisson's regression | SO2 was not correlated with daily COVID‐19 incidence. |
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