Table 3.
Author keyword and author keyword plus networks
| Author keywords | Articles | Keywords plus | Articles |
|---|---|---|---|
| COVID-19 | 1075 | Pollution | 170 |
| Air pollution | 286 | Impact | 162 |
| SARS-CoV-2 | 252 | Air-pollution | 141 |
| Lockdown | 189 | Emissions | 104 |
| Air quality | 186 | Exposure | 90 |
| Coronavirus | 127 | Quality | 87 |
| Particulate matter | 92 | Air-quality | 84 |
| PM2.5 | 90 | Mortality | 84 |
| Pandemic | 82 | PM2.5 | 84 |
| NO2 | 72 | Ozone | 80 |
| Ozone | 69 | China | 73 |
| Climate change | 49 | Particulate matter | 71 |
| Nitrogen dioxide | 43 | Health | 69 |
| PM10 | 38 | Transmission | 66 |
| COVID-19 pandemic | 36 | Coronavirus | 62 |
| Pollution | 36 | Association | 48 |
| Mortality | 35 | Temperature | 48 |
| India | 33 | COVID-19 | 47 |
| Temperature | 33 | Urban | 45 |
| China | 32 | Model | 44 |
| Air quality index | 31 | Aerosol | 42 |
| Public health | 30 | Outbreak | 39 |
| Aerosol | 29 | Trends | 38 |
| Air pollutants | 29 | Risk | 35 |
| Environment | 29 | Source apportionment | 35 |
| Sustainability | 27 | Disease | 33 |
| PM2.5 | 25 | Infection | 33 |
| Aerosols | 24 | Nitrogen-dioxide | 33 |
| COVID-19 lockdown | 24 | Virus | 32 |
| Environmental pollution | 23 | Climate | 30 |
| Humidity | 22 | Pollutants | 30 |
| Indoor air quality | 22 | NO2 | 29 |
| Machine learning | 22 | Aerosols | 28 |
| O3 | 19 | Climate-change | 26 |
| Airborne transmission | 18 | Impacts | 25 |
| AQI | 18 | Performance | 25 |
| Ventilation | 18 | Wuhan | 25 |
| Black carbon | 17 | Particles | 24 |
| Health | 17 | City | 23 |
| Remote sensing | 17 | Survival | 23 |
| COVID | 16 | Black carbon | 22 |
| Italy | 16 | Transport | 22 |
| Epidemiology | 15 | Cities | 21 |
| Social distancing | 15 | Influenza | 21 |
| Traffic | 15 | Humidity | 20 |
| TROPOMI | 15 | Inactivation | 20 |
| Virus | 15 | SARS | 20 |
| Climate | 14 | SARS-COV-2 | 20 |
| Emission reduction | 14 | Air | 19 |