Weather Parameters and COVID-19: A Correlational Analysis.
J Occup Environ Med
; 63(1): 69-73, 2021 01 01.
Article
in English
| MEDLINE | ID: covidwho-1050212
ABSTRACT
OBJECTIVES:
To assess the effect of ambient temperature, humidity and wind speed on disease occurrence in Delhi, India. DATA ANDMETHODS:
Data regarding daily corona cases, temperature, humidity, wind speed, doubling time and basic reproduction number (R0) was retrieved from online sources. Pearson's coefficient was used to assess the correlation between daily as well as weekly corona cases and various environmental factors.RESULTS:
During the study period of 97 days, there was a steady rise in number of corona cases with median (interquartile range) cases per day being 224 (58 to 635). The doubling time demonstrated a strong positive correlation with temperature while R0 had strong negative correlation with temperature (correlation coefficients 0.814 and -0.78, respectively). No significant correlation with humidity or wind speed was observed.CONCLUSION:
Increasing temperature decreases COVID-19 infectivity; however, actual role of environmental factors in expansion of pandemic needs further evaluation globally.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Temperature
/
Wind
/
COVID-19
/
Humidity
Type of study:
Diagnostic study
/
Experimental Studies
/
Observational study
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
J Occup Environ Med
Journal subject:
Occupational Medicine
/
Environmental Health
Year:
2021
Document Type:
Article
Affiliation country:
JOM.0000000000002082
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