Climate change is one of most emergent issue that covers all the challenges that are being faced by the human beings almost over whole globe. Predominantly health sector is exaggerated more severely in this century through changes in climate. To establish a relationship among monthly hospital out-patient department visits for ischemic heart disease, hypertension, acute respiratory infection, asthma, pneumonia and diarrheal diseases with monthly climatic variables such as monthly mean minimum and maximum temperature, total rain, relative humidity, atmospheric pressure and wind speed. Negative binomial regression was applied on 2011-2015 monthly data for estimation of relationship among number of OPD visits for diseases and weather determinant on Stata software. CVD was found significant with temperature and no relation was found with humidity. Whereas, gastrointestinal diseases like total diarrhea found significant with minimum temperature and rainfall. Similarly, diarrhea for < 5 years was found significant with atmospheric pressure as well as for maximum and minimum temperature. For respiratory diseases temperature, wind speed and atmospheric pressure was found significant whereas relative humidity and rainfall were insignificant factors for the disease in the area. The complexity among disease epidemiology with climatic factors needs detailed analysis. Supervisor:- Dr. Mehmood Khalid