Modelling pandemic influenza progression using Spatiotemporal Epidemiological Modeller (STEM)
Name
587614987-MIT.pdf
Description
Full printable version
Size
9.12 MB
Format
Adobe PDF
Checksum (MD5)
db9720877a118ddb1f10e91093f3ca66
Author(s)
Zhang, Hui, S.M. Massachusetts Institute of Technology
Advisor(s)
Richard Larson.
Date Issued
2009
Publisher
Massachusetts Institute of Technology
Abstract
The purpose of this project is to incorporate a Poisson disease model into the Spatiotemporal Epidemiological Modeler (STEM) and visualize the disease spread on Google Earth. It is done through developing a Poisson disease model plug-in using the Eclipse Modeling Framework (EMF), a modeling framework and code generation facility for building tools and other applications based on a structured data model. The project consists of two stages. First, it develops a disease model plug-in of a Poisson disease model of a homogenous population, which is built as an extension of the implemented SI disease model in the STEM. Next, it proposes an algorithm to port a Poisson disease model of a heterogeneous population into the STEM. The development of the two new diseases plugins explores the maximum compatibility of the STEM and sets model for potential users to flexibly construct their own disease model for simulation.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2009.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 69-70).
Subjects
Computation for Design and Optimization Program.
MIT Department
Massachusetts Institute of Technology. Computation for Design and Optimization Program
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copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
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