The impact of environmental and climate parameters on the incidence and mortality of COVID-19 in the six Gulf Cooperation Council countries: A cross-country comparison study.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2022
Historique:
received: 05 11 2021
accepted: 17 05 2022
entrez: 28 7 2022
pubmed: 29 7 2022
medline: 2 8 2022
Statut: epublish

Résumé

Environmental factors can influence the epidemiological dynamics of COVID-19. To estimate the true impact of these factors on COVID-19, climate and disease data should be monitored and analyzed over an extended period of time. The Gulf Cooperation Council (GCC) countries are particularly lacking in such studies. This ecological study investigates the association between climate parameters and COVID-19 cases and deaths in the GCC. Data on temperature, wind-speed and humidity and COVID-19 cases and deaths from the six countries of the GCC were collected between 29/1/2020 and 30/3/2021. Using Spearman's correlation coefficient, we examined associations between climate parameters and COVID-19 cases and deaths by month, over four different time periods. A two-step cluster analysis was conducted to identify distinct clusters of data using climate parameters and linear regression analysis to determine which climate parameters predicted COVID-19 new cases and deaths. The United Arab Emirates (UAE) had the highest cumulative number of COVID-19 cases while Bahrain had the highest prevalence rate per 100,000. The Kingdom of Saudi Arabia (KSA) reported the highest cumulative number of deaths while Oman recorded the highest death rate per 100,000. All GCC countries, except the UAE, reported a positive correlation between temperature and cases and deaths. Wind speed was positively correlated with cases in Qatar, but negatively correlated with cases in the UAE and deaths in KSA. Humidity was positively correlated with cases and deaths in Oman, negatively correlated in Bahrain, Kuwait, Qatar and KSA but there was no correlation in the UAE. The most significant predictors in cluster analysis were temperature and humidity, while in the regression analysis, temperature, humidity and wind speed predicted new COVID-19 cases and deaths. This study provides comprehensive epidemiological information on COVID-19 and climate parameters and preliminary evidence that climate may play a key role in the transmission of the COVID-19 virus. This study will assist decision makers in translating findings into specific guidelines and policies for the prevention and elimination of COVID-19 transmission and infection.

Sections du résumé

BACKGROUND
Environmental factors can influence the epidemiological dynamics of COVID-19. To estimate the true impact of these factors on COVID-19, climate and disease data should be monitored and analyzed over an extended period of time. The Gulf Cooperation Council (GCC) countries are particularly lacking in such studies. This ecological study investigates the association between climate parameters and COVID-19 cases and deaths in the GCC.
METHODS
Data on temperature, wind-speed and humidity and COVID-19 cases and deaths from the six countries of the GCC were collected between 29/1/2020 and 30/3/2021. Using Spearman's correlation coefficient, we examined associations between climate parameters and COVID-19 cases and deaths by month, over four different time periods. A two-step cluster analysis was conducted to identify distinct clusters of data using climate parameters and linear regression analysis to determine which climate parameters predicted COVID-19 new cases and deaths.
RESULTS
The United Arab Emirates (UAE) had the highest cumulative number of COVID-19 cases while Bahrain had the highest prevalence rate per 100,000. The Kingdom of Saudi Arabia (KSA) reported the highest cumulative number of deaths while Oman recorded the highest death rate per 100,000. All GCC countries, except the UAE, reported a positive correlation between temperature and cases and deaths. Wind speed was positively correlated with cases in Qatar, but negatively correlated with cases in the UAE and deaths in KSA. Humidity was positively correlated with cases and deaths in Oman, negatively correlated in Bahrain, Kuwait, Qatar and KSA but there was no correlation in the UAE. The most significant predictors in cluster analysis were temperature and humidity, while in the regression analysis, temperature, humidity and wind speed predicted new COVID-19 cases and deaths.
CONCLUSION
This study provides comprehensive epidemiological information on COVID-19 and climate parameters and preliminary evidence that climate may play a key role in the transmission of the COVID-19 virus. This study will assist decision makers in translating findings into specific guidelines and policies for the prevention and elimination of COVID-19 transmission and infection.

Identifiants

pubmed: 35901093
doi: 10.1371/journal.pone.0269204
pii: PONE-D-21-35367
pmc: PMC9333301
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0269204

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Basema Saddik (B)

Department of Family and Community Medicine and Behavioral Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.
Sharjah Institute of Medical Research, University of Sharjah, Sharjah, United Arab Emirates.

Manal A Awad (MA)

Department of Preventive and Restorative Dentistry, College of Dental Medicine, University of Sharjah, Sharjah, United Arab Emirates.

Najlaa Al-Bluwi (N)

Sharjah Institute of Medical Research, University of Sharjah, Sharjah, United Arab Emirates.

Amal Hussein (A)

Department of Family and Community Medicine and Behavioral Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.

Ankita Shukla (A)

Sharjah Institute of Medical Research, University of Sharjah, Sharjah, United Arab Emirates.

Arwa Al-Shujairi (A)

Sharjah Institute of Medical Research, University of Sharjah, Sharjah, United Arab Emirates.

Hamzah AlZubaidi (H)

Sharjah Institute of Medical Research, University of Sharjah, Sharjah, United Arab Emirates.
College of Pharmacy, University of Sharjah, Sharjah, United Arab Emirates.

Mohamed S Al-Hajjaj (MS)

Clinical Sciences Department, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.

Rabih Halwani (R)

Sharjah Institute of Medical Research, University of Sharjah, Sharjah, United Arab Emirates.
Clinical Sciences Department, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.

Qutayba Hamid (Q)

Sharjah Institute of Medical Research, University of Sharjah, Sharjah, United Arab Emirates.
Clinical Sciences Department, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.

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