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:


  1. Processing and integration of large amounts of highly variable, uncertain and diverse surveillance information;

  2. Process-based, multi-scale mathematical models of ecosystem  dynamics, pathogen molecular evolution, fate & transport, human exposure & disease transmission;

  3.   Uncertainty & risk assessment

  4.   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:


  1.   Identification of pathogen sources & distribution factors

  2.   Risk assessment

  3.   Prediction of large scale contaminant fate & transport

  4.   Prediction of disease patterns

  5.   Development of rapid response measures

  6.   Design and evaluation of optimal environmental policies

  7. Prediction, prevention & control strategies for disease outbreaks

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