Journal
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 29, Issue 12, Pages 17530-17543Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-021-17004-5
Keywords
Carbon emissions; GHG emissions; Nitrous oxide emissions; COVID-19 pandemic; GLM approach; Cross-country study
Categories
Funding
- King Saud University, Riyadh, Saudi Arabia [RSP-2021/87]
Ask authors/readers for more resources
This study examines the impact of environmental pollutants on the COVID-19 pandemic and healthcare outcomes, finding that greenhouse gases and CO2 emissions are critical factors increasing cases and death rates, while nitrous oxide, carbon, and transport emissions increase the case fatality ratio.
The coronavirus disease (COVID-19) is a highly transmitted disease that spreads all over the globe in a short period. Environmental pollutants are considered one of the carriers to spread the COVID-19 pandemic through health damages. Carbon emissions, PM2.5 emissions, nitrous oxide emissions, GHG, and other GHG emissions are mainly judged separately in the earlier studies in different economic settings. The study hypothesizes that environmental pollutants adversely affect healthcare outcomes, likely to infected people by contagious diseases, including coronavirus cases. The subject matter is vital to analyze the preventive healthcare theory by using different environmental pollutants on the COVID-19 factors: total infected cases, total death cases, and case fatality ratio, in a large cross-section of 119 countries. The study employed the generalized least square (GLS) method for robust inferences. The results show that GHG and CO2 emissions are critical factors likely to increase total coronavirus cases and death rates. On the other hand, nitrous oxide, carbon, and transport emissions increase the case fatality ratio through healthcare damages. The study concludes that stringent environmental policies and improving healthcare infrastructure can control coronavirus cases across countries.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available