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Virginia Tech

Simulating the Spread of Malaria: A Cellular Automaton Based Mathematical Model & A Prototype Software Implementation

Abstract

dc:description.abstract

Every year three million deaths are attributed to malaria, of which one-third are of children. Malaria is a vector-borne disease, where a mosquito acts as the vector that transmits the disease. In the last few years, computer simulation based models have been used effectively to study the vector population dynamics and control strategies of vector-borne diseases. Typically, these models use ordinary differential equations to simulate the spread of malaria. Although these models provide a powerful mechanism to study the spread of malaria, they have several shortcomings. The research in this thesis focuses on creating a simulation model based on the framework of cellular automata, which addresses many shortcomings of previous models. Cellular automata are dynamical systems, which are discrete in time and space. The implementation of the model proposed can easily be integrated with EpiSims/TRANSIMS. EpiSims is an epidemiological modeling tool for studying the spread of infectious diseases; it uses social contact network from TRANSIMS (A Transport Analysis and Simulation System). Simulation results from the prototype implementation showed qualitatively correct results for vector densities, diffusion and epidemiological curves.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Computer Science
Department dc:contributor.department
Computer Science
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2007

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Merchant, Farid
Chairs dc:contributor.committeechair
  • Marathe, Madhav Vishnu
  • Mortveit, Henning S.
Committee members dc:contributor.committeemember
  • Barrett, Christopher L.
  • Laubenbacher, Reinhard C.

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
etd-02222007-110205
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/31313

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Merchant, Farid. Simulating the Spread of Malaria: A Cellular Automaton Based Mathematical Model & A Prototype Software Implementation. masters thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/31313