Despite all the efforts, infectious diseases remain the reason for about 15% of mortality worldwide. The conventional approach of biology is to treat the ecological interaction caused by climate change and human actions separate from the evolution of pathogen genome. This was based on the assumption that the time scale of ecological interaction is much faster compared to the evolutionary time scales. But it is now widely documented that many pathogens are capable of rapid adaptation occurring over tens of generations or fewer. These findings contradict the long-standing assumption that ecological and evolutionary processes occur on different time-scales. This dissolves the dichotomy and provides new opportunities for integrative approaches combining ecology and evolution models to study
host-parasite system. Here we use an eco-evolutionary model which combine standard epidemiology models such as SIS or SIR models with a birth-death process. We aim to look for parameter regimes where the fast time scale of epidemiological interaction can leave a signature in the genome level. Finally, we discuss how these signatures can be used to infer the parameter of pathogen evolution which will be highly useful in developing better control over the spread of infectious diseases.