Assessment of Population Density, Temperature and Humidity Effects on COVID-19 Transmission
https://dx.doi.org/10.4314/njpar.v43i1.3
Keywords:
Temperature, Humidity, Population, COVID-19Abstract
The Coronavirus pandemic has been referred to as the century’s largest public health threat with a daily increase in the number of cases and deaths. Studies have shown that cyclic seasonality is a feature of some respiratory viral diseases and other acute infectious diseases. The study aimed to determine the relationship between population, temperature, humidity and COVID-19 spread in 210 countries and territories.Asecondary data analysis was used and data from all six regions of the World Health Organization were retrieved from their website. The Spearman’s correlation test showed a statistically significant moderate, positive relationship between cumulative confirmed cases and population (p < 0.01) and a significant association was found between cumulative confirmed cases, and average temperature (p < 0.001). Climate parameters and population density play significant roles in the transmission and incidence rate of COVID-19. More observational and experimental studies need to be done to better improve the action response and health outcomes of corona virus infection.
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