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The development of an age structured model for schistosomiasis transmission dynamics and control and its validation for Schistosoma mansoni

Published online by Cambridge University Press:  15 May 2009

M. S. Chan ,
H. L. Guyatt ,
D. A. P. Bundy ,
M. Booth ,
A. J. C. Fulford  and
G. F. Medley
M. S. Chan
Affiliation:
Centre for the Epidemiology of Infectious Disease, Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK
H. L. Guyatt
Affiliation:
Department of Public Health and Epidemiology, Swiss Tropical Institute, Socinstrasse 57, CH4002, Basel, Switzerland
D. A. P. Bundy
Affiliation:
Centre for the Epidemiology of Infectious Disease, Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK
M. Booth
Affiliation:
Centre for the Epidemiology of Infectious Disease, Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK
A. J. C. Fulford
Affiliation:
Division of Microbiology and Parasitology, Department of Pathology, Cambridge University, Tennis Court Road, Cambridge CB2 1QP, UK
G. F. Medley
Affiliation:
Ecosystems Analysis and Management Group, Department of Biological Sciences, University of Warwick, Coventry CV4 7AL, UK
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Summary

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Mathematical models are potentially useful tools to aid in the design of control programmes for parasitic diseases. In this paper, a fully age structured epidemiological model of human schistosomiasis is developed and parameterized, and used to predict trends in infection prevalence, intensity and prevalence of heavy infections over age and time during several rounds of mass and age targeted treatment. The model is validated against data from a Schistosoma mansoni control programme in Kenya.

Information

Type
Research Article
Information
Epidemiology & Infection , Volume 115 , Issue 2 , October 1995 , pp. 325 - 344
Copyright
Copyright © Cambridge University Press 1995

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