Long-term statistical assessment of meteorological indicators and COVID-19 outbreak in hot and arid climate, Bahrain.
Environ Sci Pollut Res Int
; 29(1): 1106-1116, 2022 Jan.
Article
in English
| MEDLINE | ID: covidwho-1340479
ABSTRACT
The COVID-19 pandemic has significantly impacted the global lifestyle, and the spreading of the virus is unprecedented. This study is aimed at assessing the association between the meteorological indicators such as air temperature (°C), relative humidity (%), wind speed (w/s), solar radiation, and PM2.5 with the COVID-19 infected cases in the hot, arid climate of Bahrain. Kendall and Spearman rank correlation coefficients and quantile on quantile regression were used as main econometric analysis to determine the degree of the relationship between related variables. The dataset analysis was performed from 05 April 2020, to 10 January 2021. The empirical findings indicate that the air temperature, humidity, solar radiation, wind speed indicators, and PM2.5 have a significant association with the COVID-19 newly infected cases. The current study findings allow us to suggest that Bahrain's relatively successful response to neighboring GULF economies can be attributed to the successful environmental reforms and significant upgrades to the health care facilities. We further report that a long-term empirical analysis between meteorological factors and respiratory illness threats will provide useful policy measures against future outbreaks.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
COVID-19
/
Meteorological Concepts
Type of study:
Observational study
Topics:
Long Covid
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
Environ Sci Pollut Res Int
Journal subject:
Environmental Health
/
Toxicology
Year:
2022
Document Type:
Article
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