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SCHISTOX: An individual based model for the epidemiology and control of schistosomiasis

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posted on 2024-08-01, 14:09 authored by Matthew Graham, Diepreye Ayabina, Tim CD Lucas, Benjamin S Collyer, Graham F Medley, T Deirdre Hollingsworth, Jaspreet Toor
A stochastic individual based model, SCHISTOX, has been developed for the study of schistosome transmission dynamics and the impact of control by mass drug administration. More novel aspects that can be investigated include individual level adherence and access to treatment, multiple communities, human sex population dynamics, and implementation of a potential vaccine. Many of the model parameters have been estimated within previous studies and have been shown to vary between communities, such as the age-specific contact rates governing the age profiles of infection. However, uncertainty remains as there are wide ranges for certain parameter values and a few remain relatively unknown. We analyse the model dynamics by parameterizing it with published parameter values. We also discuss the development of SCHISTOX in the form of a publicly available open-source GitHub repository. The next key development stage involves validating the model by calibrating to epidemiological data.

Funding

NTD Modelling Consortium by the Bill and Melinda Gates Foundation [ OPP1184344 ].

History

Author affiliation

College of Life Sciences Population Health Sciences

Version

  • VoR (Version of Record)

Published in

Infectious Disease Modelling

Volume

6

Pagination

438 - 447

Publisher

Elsevier BV

issn

2468-0427

eissn

2468-0427

Copyright date

2021

Available date

2024-08-01

Spatial coverage

China

Language

en

Deposited by

Dr Tim Lucas

Deposit date

2024-07-25

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