Applications of Mathematical Modelling to Infectious Disease Dynamics in Developing Countries.

dc.contributor.advisor	Koelle, Katharina
dc.contributor.author	Castorena, Christopher Robert
dc.date.accessioned	2013-12-16T20:15:53Z
dc.date.available	2013-12-16T20:15:53Z
dc.date.issued	2013
dc.department	Biology
dc.description.abstract	Mathematical modeling has proven to be an essential tool for the development of control strategies and in distinguishing driving factors in disease dynamics. A key determinant of a given model's potential to aid in such measures is the availability of data to parameterize and verify the model. For developing countries in particular, data is often sparse and difficult to collect. It is therefore important to understand the types of data that are necessary for a modeling project to be successful. In this thesis I analyze the value of particular types of data for a set of infections. The first project analyzes the importance of considering age-specific mixing patterns in vaccine preventable infections in which disease severity varies with age. The second project uses a simulated data set to explore the plausibility of recovering the parameters of an epidemiological model from a time series data set of monthly dengue haemorrhagic fever reports.
dc.identifier.uri	https://hdl.handle.net/10161/8267
dc.subject	Public health
dc.subject	Disease Modelling
dc.title	Applications of Mathematical Modelling to Infectious Disease Dynamics in Developing Countries.
dc.type	Master's thesis

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