Meningococcal Meningitis is one of the most feared diseases in Africa because of its rapid onset, high fatality rates and long-term disabilities. Epidemic outbreaks pose a serious threat to populations and place severe burden on the public health system and socio-economic development. The highest disease rates are concentrated in Sub-Saharan Africa, in an area determined by environmental conditions and demographic characteristics, called """"meningitis belt"""". The current World Health Organization's (WHO) control strategy relies on reactive mass vaccination in case of epidemics, requiring real-time monitoring of cases, sufficient quantity of vaccine and rapid organization of vaccination campaigns. Complementary preventive vaccination is under preparation. Both strategies need improved decision-support system to allow more lead-time and better vaccine allocation. While static risk maps based on epidemic history and environmental suitability exist no predictive systems for control strategies have been designed yet. We propose to explore jointly the environmental and demographic risk factors as predictors for epidemic outbreaks at national and district levels in view of building a statistical predictive model. The study will focus on Niger where a 20 year epidemiological weekly data at district level are available from WHO. The proposed approach will take advantage of different sources of environmental information: in-situ data, model outputs and satellite observations. The latter are an important contribution in areas of sparse data coverage, poor real-time reporting and limited access to reliable environmental information. The usefulness of model and satellite-derived data in this particular context will be assessed. This feasibility study supports US efforts in reducing the threat of infectious disease and addressing global health issues as impediments for economic development, drivers of regional instability and humanitarian crises. It contributes directly to NASA sub-goal 3A: Study Earth from space to advance scientific understanding and meet societal needs. Public Health is the main application area.