Applying the Distributed Lag Non-Linear Model (DLNM) in Epidemiology: Temperature and Mortality in Mashhad

Effects of climate on human beings have been considered since Hippocrates who recognized climate as a factor in the prevalence of epidemics the mortality rate related to Cardiovascular Dis-eases (CVD) has been higher than Respiratory Diseases (RD). Sometimes, the effects of expos-ing a specific event do not only limited to the time of its occurrence and may show themselves with lag times. The Distributed Lag Non-Linear Model (DLNM) models the exposure-response relationship and consequently introduce a series of consequences caused by this exposure to events. In addition, determining the distribution of next effects after the occurrence of events (in lag times), this method is used as well.