Investigating the mortality rate caused by COVID-19 diseases in high-risk groups and its relationship with climatic conditions (case study Isfahan - Iran)

Background and Objective: The underlying disease plays an important role in the severity and mortality rate caused by covid-19. On the other hand environmental factors such as climatic conditions can affect the dynamics of many infectious diseases. The main purpose of this research was determination of mortality caused by Covid-19 in high-risk groups and its relation with climatic conditions in Isfahan city from Feb 2020 to the end of Dec 2020. Materials: In the study period, the number of people included in the study by census (81881 person). To collect data, an information collection form was used, including the person's condition in terms of severity of illness and hospitalization, along with demographic information (age and gender) and their type of illness. Also, climatic parameters such as average temperature, relative humidity, precipitation, and wind speed during the study period were obtained separately for each month from the website of Isfahan Meteorology Department and the data were analyzed by SPSS software (p<0.05). Results: The number of infected people in Nov 2020 was the number of 20130. There was no significant relationship between the variables of temperature, relative humidity and precipitation with the rate of morbidity. But the average wind speed had a significant inverse relationship with the morbidity rate. Also, there was no significant relationship between the variables of climatic conditions and the rate of mortality caused by Covid-19. Conclusion: The result of Poisson regression on all high-risk people (with underlying disease) to investigate the mortality rate by month, except for the precipitation variable, was significant for other variables.