| Literature DB >> 32795798 |
Winfred Espejo1, José E Celis2, Gustavo Chiang3, Paulina Bahamonde4.
Abstract
Coronavirus disease 2019 (COVID-19) has become a global pandemic. Its relationship with environmental factors is an issue that has attracted the attention of scientists and governments. This article aims to deal with a possible association between COVID-19 and environmental factors and provide some recommendations for adequately controlling future epidemic threats. Environmental management through ecosystem services has a relevant role in exposing and spreading infectious diseases, reduction of pollutants, and control of climatic factors. Pollutants and viruses (such as COVID-19) produce negative immunological responses and share similar mechanisms of action. Therefore, they can have an additive and enhancing role in viral diseases. Significant associations between air pollution and COVID-19 have been reported. Particulate matter (PM2.5, PM10) can obstruct the airway, exacerbating cases of COVID-19. Some climatic factors have been shown to affect SARS-CoV-2 transmission. Yet, it is not well established if climatic factors might have a cause-effect relationship to the spreading of SARS-CoV-2. So far, positive as well as negative indirect environmental impacts have been reported, with negative impacts greater and more persistent. Too little is known about the current pandemic to evaluate whether there is an association between environment and positive COVID-19 cases. We recommend smart technology to collect data remotely, the implementation of "one health" approach between public health physicians and veterinarians, and the use of biodegradable medical supplies in future epidemic threats.Entities:
Keywords: COVID-19; Environment; Environmental impacts; One health; Pollutants; SARS-CoV-2
Mesh:
Substances:
Year: 2020 PMID: 32795798 PMCID: PMC7385928 DOI: 10.1016/j.scitotenv.2020.141314
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963
Air pollution variation due to COVID-19 lockdown measures in different countries.
| Author | Country | Area covered | Environmental pollution | Conclusions |
|---|---|---|---|---|
| USA | 3000 cities | PM2.5 | An increase of 1 μg/m3 of PM2.5 explained an 8% increase of COVID-19 mortality rate | |
| USA | California | PM2.5, PM10, SO2, NO2, Pb, VOC and CO | PM2.5, PM10, SO2, NO2, and CO have a significant correlation with COVID-19 | |
| China | 120 cities | PM2.5, PM10, NO2 and O3 | Confirmed cases increase by 2.24%, 1.76%, 6.94% and 4.76%, respectively | |
| China | 49 cities | PM2.5 and PM10 | PM2.5 and PM10 increased 0.24% and 0.26% the case fatality of COVID-19, respectively | |
| China | 219 cities | Air quality index | Air pollution has exerted a positive impact on the transmission and infection by COVID-19 | |
| China | 33 locations | Air quality index (AQI) | There is a direct correlation between AQI and confirmed COVID-19 cases | |
| Italy | 71 provinces | NO2, O3, PM2.5 and PM10 | Significant correlation between poor air quality and COVID-19 cases | |
| Italy | Milan | PM2.5 and PM10 | New COVID-19 cases have positively correlated with PM2.5 and PM10 | |
| Italy | 28 provinces of Northern Italy | NO2 | High NO2 levels were associated with COVID-19 spread | |
| India | 25 cities | PM2.5, PM10, NO2, SO2, CO, and O3 | Significant correlation between poor air quality and COVID-19 deaths | |
| China, Italy and USA | Countrywide | PM2.5, PM10, O3, NO2, SO2 and CO | Significant correlation between air quality and COVID-19 spread and mortality | |
| England | Countrywide | O3, NO and NO2 | Ozone, nitrogen oxide and nitrogen dioxide are significantly associated with COVID-19 deaths | |
| Netherlands | 355 municipalities | PM2.5 and PM10 | PM2.5 can be a significant predictor of the number of confirmed COVID-19 cases | |
| French | Paris, Lyon, and Marseille | PM2.5 and PM10 | Suggests that there are certain conditions that increase the likelihood of the spread and aggravation of the disease | |
| Malaysia | Kuala Lumpur | PM2.5, PM10, SO2, NO2, CO and O3 | Air pollutant influenced the incidence of COVID-19 cases | |
| Italy, Spain, France and Germany | 66 administrative regions | NO2 | The long-term exposure to nitrogen dioxide may contribute to fatality caused by COVID-19 |
Environmental factors linked to COVID-19 cases, and associated deaths.
| Climate parameters | Country | Conclusions | Authors |
|---|---|---|---|
| Temperature | Worldwide | COVID-19 fast-spreading has an association with average high and low temperatures | |
| 166 countries | Temperature was negatively correlated with daily new cases and deaths by COVID-19 | ||
| China | At low temperatures, a raise of 1 °C increased the number of COVID-19 confirmed cases by a rate of 0.83, while at higher temperatures each 1 °C increase reduced the number of confirmed cases by a rate of 0.86 | ||
| China | Low temperature and mild daytime temperature range promote SARS-CoV-2 transmission | ||
| China | An increase of 1 °C decreases between 36% and 57% COVID-19 infested cases | ||
| China | An increase of 1 °C increased COVID −19 deaths by 2.92% | ||
| China | Temperature played no role on COVID-19 at Wuhan (China) | ||
| China | Positive relationship (Hubei, Hunan and Anhui provinces) and negative relationship (Zhejiang and Shandong provinces) between temperature and COVID-19 | ||
| China | The incidence of COVID-19 decreased with an increase of temperature | ||
| China | Ambient temperature has a significantly negative effect on COVID-19 transmission | ||
| China and Italy | Moderate relationship with COVID-19 confirmed cases | ||
| USA | Average and minimum temperatures have significant correlation with COVID-19 at New York City. | ||
| Indonesia | Temperature average was significantly correlated with COVID-19 | ||
| Spain | No correlation between COVID-19 cases and temperature was found | ||
| Iraq | Low temperatures might enhance COVID-19 infection risk | ||
| Singapore | Temperature showed positive significant associations with SARS-CoV-2 transmission | ||
| Chile | Lower temperature can favor COVID-19 transmission speed | ||
| Mexico | Temperature associates negatively with the local confirmed COVID-19 cases | ||
| Brazil | 1 °C rise was associated with a 4.9% decrease in the number of daily cumulative COVID-19 confirmed cases | ||
| Turkey | Temperature have high impacts on COVID-19 cases | ||
| Italy | Warm season promotes COVID-19 spreading | ||
| Norway | Maximum and normal temperature are positively associated with COVID-19 | ||
| Ghana | Maximum temperature significantly predict COVID-19 new cases | ||
| Humidity | 166 countries | Relative humidity was negatively related to daily new cases and deaths by COVID-19 | |
| China and Italy | No relationship between humidity and COVID-19 confirmed cases | ||
| China | 1% increase in relative humidity decreased 11–22% COVID-19 infected cases | ||
| China | Relative humidity is negatively associated with COVID-19 daily deaths | ||
| China | Low humidity promotes the transmission of SARS-CoV-2 | ||
| Iraq | Increased relative humidity might enhance virus infection risk | ||
| Singapore | Humidity showed positive significant associations with SARS-CoV-2 transmission | ||
| Japan | The absolute humidity affected SARS-CoV-2 spread duration | ||
| Chile | Lower humidity can favor coronavirus transmission speed | ||
| Germany | Lower humidity increased Covid-19 mortality | ||
| Italy | Dry air supports COVID-19 transmission | ||
| Norway | Precipitation are negatively associated with COVID-19 | ||
| Ghana | Relative humidity was significantly associated with daily new cases and new deaths of COVID-19 | ||
| Iran | Low humidity associated with high SARS-CoV-2 infection rate | ||
| Wind | China and Italy | No relationship between wind and COVID-19 confirmed cases | |
| Chile | Higher wind speed can favor a higher disease transmission speed | ||
| Turkey | Wind speed have high impacts on COVID-19 cases | ||
| Iran | Low wind speed associated with high rate of infection of SARS-CoV-2 |
Fig. 1Schematic representation of COVID-19 indirect impacts on the environment.