| Literature DB >> 33610583 |
Maryam Maleki1, Enayat Anvari2, Philip K Hopke3, Zahra Noorimotlagh4, Seyyed Abbas Mirzaee5.
Abstract
On December 31, 2019, the novel human coronavirus (COVID-19) was emerged in Wuhan city, China, which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). There is a much controversial debate about the major pathways of transmission of the virus including airborne route. The present work is a systematic literature review (SR) aimed to assess the association of air pollution especially particulate matter pollution in the transmission and acceleration of the spread of SARS-CoV-2. The systematic literature search was performed to identify the available studies published through October 31, 2020 concerning the transmission of the disease and particulate matter air pollution in four international electronic databases. From the results of the included studies, there are suggestions that atmospheric particulate matter pollution plays a role in the SARS-CoV-2 spread, but the literature has not confirmed that it enhances the transmission although some studies have proposed that atmospheric particulate matter can operate as a virus carrier, promoting its spread. Therefore, although PM concentration alone cannot be effective in spreading the COVID-19 disease, other meteorological and environmental parameters including size of particles in ambient air, weather conditions, wind speed, relative humidity (RH) and temperature are involved. Therefore, it is necessary to consider all influencing parameters to prevent the spreading of COVID-19 disease. More studies are required to strengthen the scientific evidence and support more definitive conclusions.Entities:
Keywords: Air pollution; Airborne transmission; Atmospheric particulate matter; COVID-19; SARS-CoV-2
Year: 2021 PMID: 33610583 PMCID: PMC7891063 DOI: 10.1016/j.envres.2021.110898
Source DB: PubMed Journal: Environ Res ISSN: 0013-9351 Impact factor: 6.498
The detail key finding of 19 reviewed studies on the relation between atmospheric particulate matter and SARS-CoV-2 prevalence.
| Study ID | The main objective | Study Design | Type of PM (μg/m3) | Meteorological parameters | Key finding | ||
|---|---|---|---|---|---|---|---|
| Tem (°C) | RH (%) | ||||||
| PM 10 | PM2.5 | ||||||
| ( | Hospital air and surface contamination | Experimental | ✓ | 23 | 53–59 | Air samples from two of 3 airborne infection isolation rooms tested positive. | |
| ( | meteorological parameters and spread of virus | Experimental | ✓ | ✓ | – | 30–55 | Increase level of PM2.5, may increase the incidences and deaths of disease in India. |
| ( | Association of PM and case fatality rate | Experimental | 80.2 | 49.1 | – | – | By 10 μg/m3 increase in concentration of PM2.5 and PM10, the case fatality rate enhanced about 0.24–0.26% |
| ( | human-mobility reduction for countering the virus transmission | Experimental | 88 | – | – | – | A strong correlation between increment in PM2.5 levels and an increased risk of virus transmission |
| ( | The effect of PM2.5 and latitude on spreading of the virus | Experimental | 0–150 | – | Tropical: | In temperate zone countries, PM2.5 concentration below 20 mg/m3 increases SARS-CoV-2 spreading rate. | |
| ( | mobility habits on the spread of the virus | case study | PM | – | – | PM pollutant has a direct association with the virus infection. | |
| ( | Surface concentration of PM10 and PM2.5 and with SARS-CoV-2 | Experimental | ✓ | ✓ | 0–18 | 23–92 | Ambient airborne aerosols might be possible diffusion routes of SARS-CoV-2. Dry weather is favorable for SARS-CoV-2 viral infection spreading, but humid weather has the opposite effect. |
| ( | PM pollution and the disease case fatality rate | Experimental | 52.77 | 41.77 | 7.18 | 81.37 | A positive association between PM10 and PM2.5 and the case fatality rate of SARS-CoV-2 in Wuhan |
| ( | SARS-CoV-2 infection and pollution concentrations | Experimental | – | ✓ | – | – | Higher SARS-CoV-2 prevalence was observed in association with PM2.5 |
| ( | air quality and SARS-CoV-2 infection | Experimental | 62.97 | 46.43 | 2.82 | 67.25 | Limiting the movements could reduce SARS-CoV-2 cases by improving air quality. |
| (Setti, Passarini et al., 2020), Italy | Finding the virus RNA on PM | Experimental | 25.1 to 52.1 | – | 6.8–8.5 | 61–69 | Detection of the virus RNA on ambient PM |
| ( | the Covid-19 outbreak risk and the chronic air pollution levels | – | 16.9 to 37.7 | 5.7 to 31.5 | – | – | Long term exposure to atmospheric pollution may act as a favorable route to the spread of Covid-19. |
| ( | Determined factors in diffusion of COVID-19 | Experimental | ✓ | Hinterland cities: | Hinterland cities:68.31 | Cities with more than 100 days of air pollution have a very high average number of infected individuals | |
| ( | Association of Air pollution with increased COVID-19 incidence | Experimental | Wuhan: 51.88 | Wuhan: | Wuhan: 7.19 | All pollutants on the outdoor air has a positive relationship with daily SARS-CoV-2 incidence (PM2.5 exhibited statistical significance). Daily temperature and daily lowest temperatures were predominantly correlated with SARS-CoV-2 incidence (inversely). | |
| ( | short-term exposure to air pollution and SARS-CoV-2 | Experimental | 62.97 | 46.43 | 2.82 | 67.25 | Positive associations of PM2.5, PM10 with SARS-CoV-2 confirmed cases |
| ( | possible virus airborne transmission due to air PM | Computational | 3 to 87 | – | – | – | It is not possible to conclude that COVID-19 diffusion mechanism also occurs through the air, by using PM10 as a carrier. |
| ( | Short-Term effects of PM2.5 on confirmed cases and deaths of COVID-19 | Experimental | – | 4.733 | 8 | 62.90 | A one-unit increase in the moving average of PM2.5 (μg/m3) was related with a 33.11% decrease in the daily new disease cases. |
| ( | Effects of spatial-temporal variations in atmospheric factors on COVID-19 outbreak | Computational | 40 | 30 | – | – | SARS-CoV-2 infection frequency positively correlates with PM2.5 |
| ( | Air pollution and possible aggravating of COVID-19 lethality | statistical models | 59 to 292 | 45 to 173 | – | – | Percentage mortality per reported SARS-CoV-2 cases is correlated significantly with PM2.5 than with PM10 |