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PopART-IBM, a highly efficient stochastic individual-based simulation model of generalised HIV epidemics developed in the context of the HPTN 071 (PopART) trial
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Michael Pickles ,
Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: m.pickles@imperial.ac.uk
Affiliation Medical Research Council Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom
⨯ - Anne Cori ,
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William J. M. Probert ,
Contributed equally to this work with: Anne Cori, William J. M. Probert, Rafael Sauter
Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliation Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
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Rafael Sauter ,
Contributed equally to this work with: Anne Cori, William J. M. Probert, Rafael Sauter
Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliation Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
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Robert Hinch,
Roles Formal analysis, Software, Validation, Visualization, Writing – review & editing
Affiliation Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
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Sarah Fidler,
Roles Funding acquisition, Writing – review & editing
Affiliations Department of Infectious Disease, Imperial College London, London, United Kingdom, Imperial College NIHR BRC, London, United Kingdom
⨯ - Helen Ayles,
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Peter Bock,
Roles Data curation, Funding acquisition, Resources, Writing – review & editing
Affiliation Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Cape Town, South Africa
⨯ -
Deborah Donnell,
Roles Data curation, Writing – review & editing
Affiliation Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
⨯ - Ethan Wilson,
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Estelle Piwowar-Manning,
Roles Resources, Writing – review & editing
Affiliation Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland United States of America
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Sian Floyd,
Roles Data curation, Writing – review & editing
Affiliation Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
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Richard J. Hayes,
Roles Funding acquisition, Writing – review & editing
Affiliation Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
⨯ -
Christophe Fraser,
Roles Conceptualization, Funding acquisition, Methodology, Software, Supervision, Writing – original draft, Writing – review & editing
Affiliation Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
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https://orcid.org/0000-0002-6754-3945
PopART-IBM, a highly efficient stochastic individual-based simulation model of generalised HIV epidemics developed in the context of the HPTN 071 (PopART) trial
- Michael Pickles,
- Anne Cori,
- William J. M. Probert,
- Rafael Sauter,
- Robert Hinch,
- Sarah Fidler,
- Helen Ayles,
- Peter Bock,
- Deborah Donnell,
- Ethan Wilson
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- Published: September 2, 2021
- https://doi.org/10.1371/journal.pcbi.1009301