The primary objective of this work is to create and pilot a basic infrastructure for community-level (as distinguished from clinic-based) epidemiological health surveillance through the use of the . This is essential because clinic-based data are biased by only the individuals who arrive at clinics and can afford care. This platform is a new and innovative technique to register a full census of individuals within communities and to track the local Malagasy’s health over time, with a beautiful interface and clean data structures. These health incidence data can be connected with climate and habitat mapping and tracking data to understand the connections between microhabitats (forest structure, land-use planning, etc.), seasonal weather (and future weather predictions given climate change), and extreme weather events (frequent cyclones) and human health. By empirically connecting the environment and health with rich data streams, policy-makers and engaged community members will be able to develop interventions, adaptations and mitigation efforts to protect both the environment and human health. The basics are these: 1) OpenSRP allows for completely paperless data collection with entry constraints to prevent any input errors; 2) much faster data transfers to centralized clinics and the Ministry of Health (nearly 2 months, or 300%, faster) so that epidemics can be prevented; 3) estimation of the true prevalence of health issues because data are being monitored at the community level rather than solely at the clinic; and therefore 4) because of #3, interventions to prevent these health issues can be designed rather than solely sending band-aids for treatment. These types of electronic health surveillance records will be essential for the Ministry of Health's upcoming plans to roll out universal health care coverage.