| [70] |
US |
Investigating the impacts of environmental, health, socio-economic, and demographic risk factors on COVID-19 death rates. |
| [71] |
Labrador, Newfoundland, Canada |
Exploring the impact of partial and total reopening of airports on COVID-19 outbreak |
| [83] |
US |
Predicting the number of COVID-19 cases at the county level. |
| [91] |
Quito, Ecuador |
Analyzing the effect of quarantine policies on air quality (i.e., the concentration of  ,  , and  ). |
| [93] |
Lombardy, Italy |
Investigating the effect of lockdown measures on  and  concentration. |
| [96] |
Kanpur, India |
Prediction and analyze the spatial distribution of  during various phases of lockdown for COVID-19. |
| [97] |
Graz, Austria |
Investigating the effect of lockdown measures on air quality ( ,  ,  , and Total Oxidant). |
| [98] |
46 countries of the world |
Investigating the effect of lockdown measures on  and  emission. |
| [99] |
Spain |
Measuring the impact of lockdown measures on  emission. |
| [100] |
Lima, Peru |
Exploring the effect of air pollution on COVID infection. |
| [101] |
Delhi, India |
Monitoring the effect of lockdown on the various air pollutants during the coronavirus pandemic. |
| [102] |
Dhaka, Bangladesh |
Studying the impact of lockdown scenarios on air quality and COVID-19 transmission. |
| [103] |
Sao Paolo, Brazil |
Investigating the impacts of lockdown measures under four hypothetical scenarios (i.e., 10%, 30%, 70%, and 90% lockdown) on air pollution levels ( ,  ,  , NO,  , and  ) |
| [104] |
Paris, Lyon, and Marseille, France |
Investigating the relationship between air pollution and COVID-19 transmission. |
| [105] |
Emilia-Romagna, Italy |
Predicting the possibility of resurgence (second wave) of the COVID-19 pandemic |
| [106] |
Hangzhou, China |
Estimated the impacts of COVID-19 lockdown measures on Black carbon (BC) emissions |
| [107] |
30 cities in China |
Quantifying the impact of COVID-19 lockdown on the concentration of air pollutants. |
| [108] |
Italy |
Evaluating the effects of exposure to air pollutants on COVID-19 susceptibility. |
| [109] |
30 European countries |
Quantifying the reduction of primary pollutants from the energy industry, manufacturing industry, surface, and air transportation during COVID-19 lockdowns. |
| [110] |
25 major cities, India |
Exploring the relationships between pollutants emission, economic growth, and COVID-19 related deaths |
| [111] |
Portici City, Italy |
Monitoring air quality during COVID-19 pandemic with the help of IoT intelligent multisensory devices. |
| [112] |
6 Megacities, China |
Analyzing the impacts of COVID-19 related lockdown measures on air quality. |
| [113] |
100 European cities |
Estimating changes in NOx due to COVID-19 lockdown. |
