The goal of this research is to advance the state of the art in plant, animal, and human disease forecasting by identifying areas where diseases may reemerge. This can lead to better surveillance and allow organizations to preposition resources to deal with new outbreaks. Many diseases correlate to environmental variables due to host vectors or changes in their ecological niche. We need to be able to build models that can work across different ecosystems (e.g. arid vs. humid, coastal vs. mountainous) and routes of transmission from environmental sources (e.g. zoonotic, vector-borne). A framework that can convey the increased risk from multiple diseases due to environmental changes will allow policy makers, health care providers, farmers, and other stakeholders to make timely decisions and reduce the impact of future disease outbreaks.