Mapping Sustainability has developed novel methodology for disease surveillance using spatio-temporal dynamic mapping and modeling. We aid public health researchers with exploratory data analysis through data collection, analysis, and visualization. By overlaying disease incidence data with demographic and environmental factors we give insight into how there may be higher incidence in a particular location and search for correlated factors. Our dynamic mapping products enable you to visualize disease clusters and percolation in your data.
Mapping Sustainability also helps Healthcare Foundations create health data books and atlases to help identify the public health concerns for your community. Our map products help you identify populations with unmet healthcare needs and with higher risk due to environmental hazard exposure.
Mapping Sustainability is a Research Partner with Tufts University’s Initiative for the Forecasting and Modeling of Infectious Diseases (InForMID) — a program to improve biomedical and public health research through the development of analytical and computational tools.
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