Investigating of climate factors associated with the number of COVID-19 incidences in Saudi Arabia
International Journal of Environment and Health
; 10(3-4):195-212, 2021.
Article
in English
| ProQuest Central | ID: covidwho-1808590
ABSTRACT
This study investigates the possible association between the climate variables of daily average temperature (°C), relative humidity (%), wind speed (mph), air pressure (mmHg), and the number of COVID-19 incidents in five main cities in Saudi Arabia. Furthermore, other non-climate factors that might influence the number of COVID-19 incidents, such as region, day type, and conducted number of COVID-19 tests (massive testing levels), are included in the model. A negative binomial regression model is applied to study the association between the climate and non-climate factors affecting COVID-19 cases for 75 days with an average temperature range of (18-36)°C. Results show significant findings that the only climate factor affecting the COVID-19 numbers is the average daily temperature. The regression model shows a significant positive association between average daily temperature and the COVID-19 incidents by increasing 6.1% in the number of COVID-19 cases for each extra 1°C average temperature increase.
Public Health And Safety; COVID-19 spread in warm weather; COVID-19 and climate; negative binomial regression; data mining; indoor climate and COVID-19; high temperature; Saudi weather; massive tests and spread of COVID-19; humidity effect on COVID-19; COVID-19 cases predictions; Air temperature; Relative humidity; Climate; COVID-19; Coronaviruses; Wind speed; Regression models; Saudi Arabia
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Observational study
Language:
English
Journal:
International Journal of Environment and Health
Year:
2021
Document Type:
Article
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