Human mortality and disease is to a large extent related in various ways to weather patterns. Weather affects diseases such as influenza, pneumonia, and allergies like asthma. Also frequency and tensity of extreme temperatures influences mortality especially in elderly people suffering from serious diseases and has always brought about hazards associated with epidermis. This study was an attempt to investigate the influence of climate and ENSO phenomena on influenza in Kermanshah province, which has resulted in thousands of deaths all over the world, especially in underdeveloped countries. First, Monthly and annual data of minimum, maximum and average temperature and relative humidity in a six-year period (1382-1387) were obtained from Kermanshah Regional Metrological Office. Also, the number of people suffering from influenza during the same period, provided by Kermanshah University of Medical sciences, was taken into consideration. And, also monthly and annual data of SOI index were taken from NCEP website. Then, the data were homogenized using ran-test and the numbers were changed to standard Z scores in order to show clearer graphs which show the relationship between the disease and climate factors and SOI index. Next, the relationship between climate factors and the ELNINO phenomenon was analyzed using Pearson correlation formula. Results of the relationship between temperature and the number of patients suffering from influenza showed that the more the temperature decreases, the more the number of patients increases. The least number of patients suffering from influenza relates to Tir and Mordad months, and as we enter Shahrivar the number of patients increases since there is a six-degree decrease in temperature in this month. The most number of patients relates to Azar, Day and Bahman which are the cold months of the year. The results of the multiple regression showed that from among the variables in the regression model, relative humidity had the most influence on the number of patients, and it determined the number of patients 31.9 percent more than the dependent variable. Climate ranking data (temperature, relative humidity and SOI) the number of patients and their relationship showed strong relationship between the number of patients and climate factors. The conclusion shows that cold and average periods concur with negative ENSO phase and the consequence is an increase in the number of patients suffering from influenza.