Dissemination of information in mobile adhoc networks has lately picked up lot of interest. Some studies argue that the dissemination in these networks should be contained while some argue that it should not. Research has found that it depends on the type of the application that is considered. For example, dissemination of mobile viruses should definitely be contained however, dissemination of emergency information should not. Moreover, in the regions where there is less connectivity and very few mobile devices, dissemination of packets is highly impacted. Towards this, we would like to propose a mechanism that could enhances dissemination of information in a sparsely populated mobile adhoc environment.We use the concept of metapopulation model and epidemic model and the results obtained after the analysis of the dataset provided by D4D Organizers. From the results we obtained, we could say that in our model we could reach the epidemic state in dissemination process using the movement pattern of the users (derived from the dataset provided by D4D organizers).