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Simulation modelling of infectious diseases

Simulation modelling of infectious diseases
Simulation modelling of infectious diseases
This thesis looks at the use mathematical modelling, in particular the use of simulation as a solution technique, when applied to the problem of the study of infectious diseases.

The thesis examines two different routes of infection of the bacteria Chlamydia Trachomatis-, the sexually transmitted disease Chlamydia, and the ocular disease Trachoma.

Several simulation models are developed within the thesis. The exploration of Chlamydia results in a prototype model which it is suggested could be extended in a future project.

The work exploring Trachoma resulted in the development of a model useful in the evaluation of intervention strategies, as well as the statistical analysis of data which provides the necessary data for the modelling work. The analysis provides values for the duration of Trachoma infection, and for the incidence of the infection; figures which have previously not been available.
University of Southampton
Gove, Darryl James
18e5491b-dc4a-4a08-ad18-00c07d841917
Gove, Darryl James
18e5491b-dc4a-4a08-ad18-00c07d841917
Shahani, Arjan K.
01f30d3f-6d62-4c19-8a3e-e4d223559dc7

Gove, Darryl James (1997) Simulation modelling of infectious diseases. University of Southampton, Doctoral Thesis, 249pp.

Record type: Thesis (Doctoral)

Abstract

This thesis looks at the use mathematical modelling, in particular the use of simulation as a solution technique, when applied to the problem of the study of infectious diseases.

The thesis examines two different routes of infection of the bacteria Chlamydia Trachomatis-, the sexually transmitted disease Chlamydia, and the ocular disease Trachoma.

Several simulation models are developed within the thesis. The exploration of Chlamydia results in a prototype model which it is suggested could be extended in a future project.

The work exploring Trachoma resulted in the development of a model useful in the evaluation of intervention strategies, as well as the statistical analysis of data which provides the necessary data for the modelling work. The analysis provides values for the duration of Trachoma infection, and for the incidence of the infection; figures which have previously not been available.

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Published date: February 1997

Identifiers

Local EPrints ID: 414488
URI: https://eprints.soton.ac.uk/id/eprint/414488
PURE UUID: 83988c87-5183-47fd-b911-f839c86950db

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Date deposited: 03 Oct 2017 16:31
Last modified: 13 Mar 2019 19:22

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