| Aims: This study aimed to examine the relationship between climatic characteristics and prevalence rate of pneumonia in the Upper Euphrates region. Methodology: The researchers adopted the descriptive approach. Data were collected from various sources, most notably data on patients with the disease, which the researchers obtained from the Directorate of Anbar Health. Climatic data were obtained from the Meteorological and Seismic Monitoring Authority (MSMA). The researchers relied on the statistical program (SPSS) to analyze the data, particularly Pearson's correlation coefficient, simple regression coefficient, t-test, F-test, and interpretation coefficient R2. Results: After statistically analyzing all the data, the study confirmed that there is a statistically significant direct relationship between the prevalence rate of pneumonia incidence and humidity. The results also indicated a statistically significant inverse relationship between pneumonia incidence and the following variables: (sunlight, minimum and maximum temperatures, and wind). The study showed no statistical significant differences between pneumonia incidence and stations of the region. Based on the findings of the current study, the study concluded with a set of recommendations, the most important of which are listening to the weather forecast before leaving houses, wearing clothing appropriate for the weather conditions, and wrapping a scarf around the nose and mouth, especially when temperatures drop, and avoiding crowded places and enclosed spaces with high humidity as much as possible. |
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