Another challenge when developing mathematical models with respect to data usage is the accessibility of specific data pertaining to the topic of simulation. Often times data necessary to simulate certain scenarios, such as number of deaths by a certain disease, is not accessible to the general public or researchers alike. This makes it impossible to accurately model certain scenarios, of which solutions could be offered with mathematical modeling. The WHO has proposed that “Raw data need to be made publicly accessible for research purposes. National health equity surveillance data need to be reported to, among others, national policymakers and WHO. Global health equity surveillance data need to be reported to the Economic and Social Council, other international bodies, and back to national governments” This would allow mathematical models to be more consistent, accurate, and faster and easier to develop. In turn, modeling done more efficiently allows for interventions to be made much sooner, and problems from the community to global level would be resolved relatively quicker.