Study ID | Study Description | Outcomes | Main findings | Conclusion |
---|---|---|---|---|
Yao Y et al. [52], June 2020 | *Associations between PM and COVID-19 CFR *49 Chinese cities, spatial analysis | CFR | Pollutants (10 μg/m3 increase in and concentrations)- COVID-19 CFR increased by: *Epidemic period: • PM2.5: 0.24% (0.01–0.48%) and • PM10: 0.26% (0.00–0.51%), respectively. | PM distribution and its association with COVID-19 CFR suggests that exposure to such may affect COVID-19 prognosis. |
Frontera A et al. [14], August 2020 | *Relationship between air PM2.5 and NO2 and COVID-19, Italian regions. | Transmission, number of patients, severity of presentation and number of deaths. | *Correlations between mean PM2.5: • Total number cases: r = 0.64; p = 0.0074, • ICU admissions per day: r = 0.65; p = 0.0051, • Deaths: r = 0.62; p = 0.032 • Hospitalized cases: r = 0.62; p = 0.0089 | *Highest cases, more severe cases and two-fold mortality of COVID-19 in the most polluted regions |
Li H [57] et al., August 2020 | Retrospective study, correlation between COVID-19 incidence and AQI, Wuhan and XiaoGan between January 26th to February 29th in 2020 | Incidence | * Pollutants-COVID-19 Incidence (Wuhan vs XiaoGan: R2): • PM2.5: 0.174 vs 0.23 • PM10: 0.105 vs 0.158 • NO2: 0.329 vs 0.158 • CO: 0.203 vs 0.022 *AQI-COVID-19 Incidence (Wuhan vs XiaoGan: R2): 0.13, p < 0.05 vs 0.223, p < 0.01). | AQI, PM2.5, NO2, and temperature are four variables that could promote the sustained transmission of COVID-19. |
Zoran M et al. [58], October 2020 | Time series of daily average inhalable gaseous O3 and NO2, in Milan, Lombardy in Italy, January–April 2020 | Transmission and lethality | O3 vs NO2 (January–April 2020)-COVID-19: • Total number: r = 0.64 **vs − 0.55** • Daily New positive: r = 0.50** vs − 0.35** • Total Deaths cases: r = 0.69 vs − 0.58** | * O3 can acts as a COVID-19 virus incubator. *Estimates can be attributed to airborne bioaerosols distribution. |
Zhu Y et al. [59], Jully 2020 | Daily confirmed cases, air pollution concentration and meteorological variables in 120 cities were obtained from January 23, 2020 to February 29, 2020 in China. | Incidence | *10-μg/m3 increase (lag0–14) associated with increase in the daily counts of confirmed cases: • PM2.5: 2.24% (95% CI: 1.02 to 3.46), • PM10: 1.76% (95% CI: 0.89 to 2.63), • NO2:6.94% (95% CI: 2.38 to 11.51), • O3: 4.76% (95% CI: 1.99 to 7.52) *10-μg/m3 increase (lag0–14) associated with a decrease in COVID-19 confirmed cases. SO2: 7.79%: (95% CI: − 14.57 to − 1.01) | Significant relationship between air pollution and COVID-19 infection, which could partially explain the effect of national lockdown and provide implications for the control and prevention of this novel disease. |
Adhikari A et al. [60], Jun 2020 | Associations between O3, PM2.5, daily meteorological variables and COVID-19 in Queens county, New York during March–April 2020 | Incidence and mortality | *Pollutants (lag 0–21)-New COVID-19 Cases • PM2.5: IRR: 0.6684 (0.6478–0.6896), P < 0.0001 • O3: IRR: 1.1051 (1.0747–1.1363), P < 0.0001 *Pollutants (lag 0–21)-New COVID-19 Deaths • PM2.5: IRR: 0.8912 (0.7966–0.9971), P < 0.0444 • O3: IRR: 0.8958 (0.8072–0.9941), P < 0.0382 | Short-term exposures to O3-8h + other meteorological factors can influence COVID-19 transmission and initiation, but aggravation and mortality depend on other factors. |
Chakraborty P et al. [61], July 2020 | *Effects of COVID-19, on a large population persistently exposed to various pollutants in different parts of India. *Data, from online resources, | Fatality | *NO2 from vehicular emission and absolute number of COVID-19: • Deaths: r = 0.79, p < 0.05 • Case fatality rate: r = 0.74, p < 0.05. *Rise in NO2/ PM2.5 ratio increased the COVID-19 CFR by: 7.2% | Homeless, poverty-stricken, hawkers, roadside vendors, and others regularly exposed to vehicular exhaust, may be at a higher risk in the COVID-19 pandemic. |
Bontempi E [30], July 2020 | PM10 situation in Lombardy (from 10th February to March 27, 2020), several days before the sanitary emergency explosion; comparison: the situation of Piedmont, located near to the Lombardy | Incidence | Piedmont cities, presenting lower detected infections cases in comparison to Brescia and Bergamo in the investigated period, had most sever PM10 pollution events in comparison to Lombardy cities. | Not possible to conclude that COVID-19 diffusion mechanism also occurs through the air, by using PM10 as a carrier. |
Bashir MF et al. [62], May 2020 | Secondary published data from the Centers for Disease Control and the EPA (March–April 2020) to assess the relation between environmental pollution determinants and the COVID-19 outbreak in California. | Incidence, Mortality | *Pollutants-COVID-19 Cases • PM10: r = − 0.375** • PM2.5: r = − 0.453*** • SO2: r = − 0.426*** • CO: r = 0.083 • VOC: r = 0.054 • Pb: r = 0.178** • NO2: r = − 0.736*** *Pollutants-COVID-19 Deaths • PM10: r = − 0.350** • PM2.5: r = − 0.429*** • SO2: r = − 0.397** • CO: r = 0.123 • VOC: r = 0.038 • Pb: r = 0.174** • NO2: r = − 0.731*** | Useful supplement to encourage regulatory bodies to promote changes in environmental policies as pollution source control can reduce the harmful effects of environmental pollutants |
Bolaño-Ortiz TR et al. [63], July 2020 | Correlation between air pollution indicators (PM10, PM2.5, and NO2: day 0–14 prior COVID-19 test) with the COVID-19 daily new cases and deaths in Latin America and the Caribbean region | Transmission and mortality | Spearman rank correlation tests: Mexico City (Mexico), PM2.5, PM10, NO2 • New Cases: − 0.214*, − 0.327**, − 0.206 • Total Cases: − 0.124, − 0.444***, − 0.446*** • Mortality: − 0.256**, − 0.395***, − 0.462*** San Juan (Puerto Rico), NO2: • New Cases: 0.367*** • Total Cases: 0.636*** • Mortality: − 0.194 Bogotá (Colombia), PM2.5, PM10, NO2 • New Cases: − 0.414***, − 0.150, 0.009 • Total Cases: PM10, NO2: − 0.438***, − 0.190 • Mortality: 0.050, 0.097, 0.182 Santiago (Chile), PM2.5, PM10, NO2 • New Cases: 0.466 ***, 0.351***, 0.547*** • Total Cases: 0.481***, 0.353***, 0.547*** • Mortality: 0.478***, 0.404 ***, 0.569 *** São Paulo (Brazil) PM2.5, PM10, NO2 • New Cases: 0.350***, 0.354***, 0.506*** • Total Cases: 0.261, 0.277, 0.337*** • Mortality: 0.203, 0.228*, 0.354*** Buenos Aires (Argentina). PM10, NO2 • New Cases: 0.414, 0.274 • Total Cases: 0.434***, 0.195 • Mortality: 0.157, 0.056 | *COVID-19 infection rate correlation, in particular for the Gini index of each country (r = 0.51,p < 0.13), the urban poverty rate (r = − 077,p = 0.01) and the urban extreme poverty rate (r = 0.79, p = 0.01). *Income inequality and poverty levels in the cities analysed related to the spread of COVID-19 positive and negative, respectively. |
Borro M et al. [13], August 2020 | * PM2.5 and COVID-19 outcomes from 20 February-31 March 2020 in 110 Italian provinces *Bioinformatic analysis of the DNA sequence encoding the SARS-CoV-2 cell receptor ACE-2 | Incidence, CFR, Mortality | *PM2.5 levels and COVID-19 • Incidence: r = 0.67, p < 0.0001) • Mortality rate: r = 0.65, p < 0.0001 • CFR: r = 0.7, p < 0.0001) *Bioinformatic analysis of the ACE-2 gene identified nine putative consensus motifs for the aryl hydrocarbon receptor. | *Confirm the supposed link between air pollution and the rate and outcome of SARS-CoV-2 infection *Support the hypothesis that pollution-induced over-expression of ACE-2 on human airways may favor SARS-CoV 2 infectivity |
Raciti L et al. [53], Jun 2020 | To assess the relationship between volcanic ash pollution and COVID-19 in Sicily, Italy | Incidence | Volcanic gases and heavy metals-related air pollution, combined to specific climatic conditions and regional topography, in favouring severe COVID-19 diffusion in Sicily | Clinical and epidemiological studies are needed to support the hypothesis |
Jiang Y et al. [64], 2020 August | Retrospective study of ambient air pollutant concentrations (daily average), and meteorological variables data of Wuhan, Jan 25 and April 7, 2020 in relation to COVID-19 | Death Number | *Pollutants-COVID-19 Deaths (RR, 95%CI, p-value): • PM2.5: 1.079, 1.071–1.086, < 0.01 • PM10: 0.952, 0.945–0.959, < 0.01 • SO2: 0.951, 0.919–0.984, < 0.01 • CO: 0.177, 0.131–0.24, < 0.01 • NO2: 1.002, 0.996–1.007, 0.55 • O3_8h: 1.001, 0.998–1.003, 0.56 | PM2.5 and diurnal temperature range are tightly associated with increased COVID-19 deaths. |
Filippini T et al. [55], October 2020 | Collection of NO2 tropospheric levels using satellite data available at the European Space Agency before the lockdown in association with COVID-19 at different time (March 8, 22 and April 5), in the 28 provinces of Lombardy, Veneto and Emilia-Romagna (Italy). | Prevalence rate | *Little association of NO2 levels with COVID-19 prevalence up to about 130 μmol/m2 *Positive association, evident at higher levels at each time point. | Notwithstanding the limitations of the use of aggregated data, these findings lend some support to the hypothesis that high levels of air pollution may favour the spread of the SARS-CoV-2 infection. |