Mathematical modeling is an increasingly widespread tool for understanding infectious disease transmission and informing public health decision making. This course provides an in depth overview of the practical uses of mathematical modeling for a range of diseases and scenarios. We cover the basic principles of infectious disease models, how models are adapted to be specific to the disease and question of interest, and important assumptions of different models. We will discuss how data informs models, how models can be used to interpret data, uncertainty in model results, and pros and cons of different modeling and analytic approaches. In each module we focus on a use case for models: evaluating potential control strategies, quantifying and comparing the transmission rate of infections, and for forecasting future disease burden.
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6 vidéos1 lecture1 devoir
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3 vidéos4 devoirs
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5 vidéos6 devoirs
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Imperial College London
Johns Hopkins University
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