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SCHISTOX: An individual based model for the epidemiology and control of schistosomiasis.
Graham, Matthew; Ayabina, Diepreye; Lucas, Tim Cd; Collyer, Benjamin S; Medley, Graham F; Hollingsworth, T Deirdre; Toor, Jaspreet.
Affiliation
  • Graham M; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.
  • Ayabina D; Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Lucas TC; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.
  • Collyer BS; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.
  • Medley GF; Centre for Environment and Health, Imperial College London, London, United Kingdom.
  • Hollingsworth TD; Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, St Mary's Campus, Imperial College London, United Kingdom.
  • Toor J; Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Infect Dis Model ; 6: 438-447, 2021.
Article in En | MEDLINE | ID: mdl-33665519
ABSTRACT
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.
Key words

Full text: 1 Database: MEDLINE Type of study: Screening_studies Language: En Journal: Infect Dis Model Year: 2021 Type: Article Affiliation country: United kingdom

Full text: 1 Database: MEDLINE Type of study: Screening_studies Language: En Journal: Infect Dis Model Year: 2021 Type: Article Affiliation country: United kingdom