The Spatiotemporal Epidemiological Modeler (STEMS) is a computational tool designed for the analysis and modeling of diseases in relation to geographical and temporal dynamics. This model focuses on understanding how diseases spread across different locations over time, taking into account various factors such as population dynamics, environmental influences, and social interactions. STEMS typically integrates data from multiple sources, including epidemiological data, demographic information, and geographic information systems (GIS), to simulate and predict the spread of infectious diseases.
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