Effect of temperature and humidity on coronavirus infection in Pakistan.
COVID-19
COVID-19, Coronavirus Disease 2019
Pakistan
Pandemic
SARS
SARS, Severe acute respiratory syndrome
SEM, Standard error of mean
TA, Temperature average
Virus
WHO, World Health Organization
Journal
Gene reports
ISSN: 2452-0144
Titre abrégé: Gene Rep
Pays: United States
ID NLM: 101680713
Informations de publication
Date de publication:
Mar 2022
Mar 2022
Historique:
received:
07
06
2021
revised:
15
09
2021
accepted:
13
11
2021
entrez:
29
11
2021
pubmed:
30
11
2021
medline:
30
11
2021
Statut:
ppublish
Résumé
Ongoing Coronavirus epidemic (COVID-19) identified first in Wuhan, China posed huge impact on public health and economy around the globe. Both cough and sneeze based droplets or aerosols encapsulated COVID-19 particles are responsible for airborne transmission of this virus and caused an unexpected escalation and high mortality worldwide. Current study intends to investigate the correlation of COVID-19 epidemic with meteorological parameters, particularly temperature and humidity. A data set of Epidemiological data of COVID-19 for highly infected provinces of Pakistan was collected from the official website of (https://www.covid.gov.pk/) and weather data was collected from (https://www.timeanddate.com/) during the time period of 1st March to 30th September 2020. The GrapPad prism 5 Software was used to calculate the mean and standard error of mean (SEM). In the current study the incident of daily covid cases is recorded higher in the month of June while the less number of case were reported in the month of May as compared to the other months (April, May, June, July, September and August) in the four province of Pakistan. We also find out that the incident of Covid19 were high at higher temperature (like the average temperature in the month of June 37 °C) while less cases were reported in May the average temperature was 29.5 °C. Furthermore the incident of covid cases were less reported at low humidity while more intendant with high humidity. Pearson's (r) determine the strength of the relationship between the variables. Pearson's correlation coefficient test employed for data analysis revealed that temperature average (TA) and average humidity is not a significant correlated with COVID-19 pandemic. The results obtained from the current analysis for selected parameters indirect correlation of COVID-19 transmission with temperature variation, and humidity. In the present study association of parameters is not correlated with COVID-19 pandemic, suggested need of more strict actions and control measures for highly populated cities. These findings will be helpful for health regulatory authorities and policy makers to take specific measures to combat COVID-19 epidemic in Pakistan.
Identifiants
pubmed: 34841127
doi: 10.1016/j.genrep.2021.101441
pii: S2452-0144(21)00425-8
pmc: PMC8605813
doi:
Types de publication
Journal Article
Langues
eng
Pagination
101441Informations de copyright
© 2021 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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