TABLE 3.
Author | Country | Period | Analysis method | Quantified results |
---|---|---|---|---|
Li et al 44 | Wuhan and Xiaogan, China | 26 Jan to 29 Feb 2020 | Linear regression model | NO2 was prominently correlated with COVID‐19 incidence. |
Jiang et al 64 | Wuhan, Xiaogan, and Huanggang, China | 25 Jan to 29 Feb 2020 | Multivariate Poisson's regression | NO2 was positively correlated with daily COVID‐19 incidence in Wuhan (1.056, 95% CI: 1.053‐1.059) and Xiaogan (1.115, 95%CI: 1.095‐1.136). |
Yao et al 76 | 11 Hubei cities | 1 Jan to 8 Feb 2020 | Multiple linear regression, residual analysis, principal component analysis, meta‐analysis method | NO2 concentration (with 12‐day time lag) was positively related to transmission ability (basic reproductive number) of the 11 Hubei cities (except Xianning City). |
Liang et al 70 | 3 122 US counties |
22 Jan to 29 Apr 2020 |
Zero‐inflated negative binomial models | Per interquartile range (IQR) increase in NO2 (4.6 ppb) was associated with an increase of COVID‐19 case‐fatality rate (7.1%, 95% CI: 1.2%‐13.4%) and mortality rate (11.2%, 95%CI: 3.4%‐19.5%), respectively. |
Travaglio et al 56 | England | 2018‐2019 | Generalized linear models, negative binomial regression analyses | NO2 and NO were positively associated with COVID‐19 infectivity, with an odds ratio of approximately 1.03 for both the single‐year and multiyear model. |
Ogen et al 77 | 66 administrative regions in Italy, Spain, France and Germany | Jan to Feb 2020 | NA | NO2 was positively correlated with COVID‐19 fatality cases. Out of the 4443 fatality cases, 3487 (78%) were in five regions (have the highest NO2). |
Lin et al 78 | 29 provinces, China | 21 Jan to 3 Apr 2020 | Chain‐binomial model, correlation analyses | NO2 was inversely correlated to the basic reproductive ratio of COVID‐19. |
Konstantinoudis et al 50 | England | Up to 30 June 2020 | Bayesian hierarchical models | Every 1 μg/m3 increase in NO2 was associated with a 0.5% (95% CI: −0.2%‐1.2%) increase in COVID‐19 mortality risk. |
Zoran et al 71 | Milan, Italy | 1 Jan to 30 Apr 2020 | Time series analysis | Ground level NO2 was inversely correlated with COVID‐19 infections. |
Liu et al 2 | 9 countries | 21 Jan to 20 May 2020 | Discontinuous linear regression | The aggravating effect of NO2 on COVID‐19 infection appears in Canada and France. |
Landoni et al 63 | 33 European countries | NA | Pearson's correlation analysis | NO2 was positively correlated with positive COVID‐19 cases and deaths. |
Mele et al 75 | 3 major French cities | NA | Machine learning | NO2 levels contribute to COVID‐19 deaths and exist threshold values. |
Magazzino et al 69 | 3 French cities | 18 Mar to 27 Apr 2020 | Machine Learning experiments | NO2 accelerated COVID‐19 deaths. |
Zhu et al 49 | 120 cities, China | 23 Jan to 29 Feb 2020 | Generalized additive model | Every 10 mg/m3 increase of NO2 was associated with a 6.94% (95% CI: 2.38‐11.51) increase in the daily counts of confirmed COVID‐19 cases. |
Saez et al 72 | Catalonia (Spain) | 25 Feb to 16 May 2020 | Spearman's nonparametric correlation | NO2 was significantly correlated with COVID‐19 incidence, mortality, and lethality rates. |
Fattorini et al 66 | 71 Italian Provinces | Up to 27 April 2020 | NA | NO2 was significantly correlated with cases of COVID‐19. |
Chakraborty et al 73 | 18 Indian States | 8 Jun to 15 Jun 2020 | Pearson's correlation coefficient and regression analysis | NO2 showed strong positive correlation between the absolute number of COVID‐19 deaths (r = 0.79, P < 0.05) and case fatality rate (r = 0.74, P < 0.05). |
Filippini et al 74 | 28 provinces (Northern Italy) | 1 Feb to 5 Apr 2020 | Multivariable restricted cubic spline regression model | NO2 was significantly correlated with SARS‐CoV‐2 infection prevalence rate. |
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