Multi-scale environmental modeling lab
Multi-scale environmental modeling lab
Urban and natural environmental areas are complex systems, with complexity arising from interactions between social, biologic and environmental agents & processes. These processes take place on multiple spatial, temporal and contextual scales. Understanding these interactions & their interdependencies is key to developing effective environmental & health policies. The success of such policies hinges on:
• Processing and integration of large amounts of highly variable, uncertain and diverse surveillance information;
• Process-based, multi-scale mathematical models of ecosystem dynamics, pathogen molecular evolution, fate & transport, human exposure & disease transmission;
• Uncertainty & risk assessment
• Incorporation of intervention strategies into the models.
We are developing an integrated systems-based analytical framework to study the impact of environmental factors and man-made infrastructure on water quality & waterborne infectious diseases. The framework is needed for:
• Identification of pathogen sources & distribution factors
• Risk assessment
• Prediction of large scale contaminant fate & transport
• Prediction of disease patterns
• Development of rapid response measures
• Design and evaluation of optimal environmental policies
• Prediction, prevention & control strategies for disease outbreaks
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