Abstract
In this study, in addition to considering the two dominant climatic domains during extreme condition in the study area, temperature and humidity, and determining the correlation and correlation of these two factors with the prevalence of rotavirus gastroenteritis, a statistical model was proposed to predict the prevalence of the disease. Although this research, like many earlier studies, has been based on statistical data for a period of three years, according to its primary objectives, the short-term risk of the disease has been zoned using GIS software, and this point is new. The distinction between the present study and previous studies is considered. Previous studies did not consider the relationship between climate change and gastroenteritis GE. So, the purpose of this study was to investigate the correlation between the number of patients admitted in the hospital with symptoms of gastroenteritis GE and the monthly climatic variables of temperature and humidity of rotavirus, maximum, mean during extreme condition, at least in the city of Ahvaz, in three levels and its suburbs. The results showed a high prevalence of rotavirus infection in children in Ahvaz at low temperature. The maximum rotavirus activity was determined at 13 ° C. Also, the highest number of patients with symptoms of rotavirus gastroenteritis was observed in autumn and early winter. It is suggested that the results of this study should be considered in determining the timing of vaccination during extreme condition.
Original language | English |
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Pages (from-to) | 189-195 |
Journal | Safety in Extreme Environments |
Volume | 2 |
Issue number | 2 |
DOIs | |
Publication status | Published - 6 Jul 2020 |
Keywords
- Climate change
- Impacts
- Climatic variables
- Extreme condition
- Health
- Statistical model