Weather Parameters and COVID-19: A Correlational Analysis.

Szczegóły
Abstrakt

Tytuł:: Weather Parameters and COVID-19: A Correlational Analysis.
Autorzy:: Pahuja S; Department of Pulmonary, Critical Care and Sleep Medicine and Biostatistics, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Madan M
Mittal S
Pandey RM
Nilima
Madan K
Mohan A
Hadda V
Tiwari P
Guleria R
Źródło:: Journal of occupational and environmental medicine [J Occup Environ Med] 2021 Jan 01; Vol. 63 (1), pp. 69-73.
Typ publikacji:: Journal Article
Język:: English
Imprint Name(s):: Publication: Hagerstown, MD : Lippincott Williams & Wilkins
Original Publication: Baltimore, MD : Williams & Wilkins, c1995-
MeSH Terms:: Humidity*
Temperature*
Wind*
COVID-19/*diagnosis
COVID-19/*epidemiology
COVID-19/transmission ; Correlation of Data ; Humans ; India/epidemiology
References:: Clin Infect Dis. 2020 Dec 3;71(9):2482-2487. (PMID: 32472936)
Sci Total Environ. 2020 Aug 1;728:138810. (PMID: 32334158)
J Infect Public Health. 2020 May;13(5):704-708. (PMID: 31813836)
Expert Rev Respir Med. 2020 Sep;14(9):869-879. (PMID: 32529866)
Epidemiol Infect. 2020 Jul 27;148:e163. (PMID: 32713371)
Sci Total Environ. 2020 Jul 10;725:138436. (PMID: 32298883)
Public Health. 2020 Aug;185:91-92. (PMID: 32590235)
J Epidemiol Community Health. 2005 Mar;59(3):186-92. (PMID: 15709076)
Entry Date(s):: Date Created: 20201112 Date Completed: 20210121 Latest Revision: 20221005
Update Code:: 20240105
PubMed Central ID:: PMC7773164
DOI:: 10.1097/JOM.0000000000002082
PMID:: 33177471
: Czasopismo naukowe

Objectives: To assess the effect of ambient temperature, humidity and wind speed on disease occurrence in Delhi, India.
Data and Methods: 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.
Competing Interests: The authors have no funding and conflicts of interest to disclose.
(Copyright © 2020 American College of Occupational and Environmental Medicine.)

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