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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.
Pickles, Michael; Cori, Anne; Probert, William J M; Sauter, Rafael; Hinch, Robert; Fidler, Sarah; Ayles, Helen; Bock, Peter; Donnell, Deborah; Wilson, Ethan; Piwowar-Manning, Estelle; Floyd, Sian; Hayes, Richard J; Fraser, Christophe.
Affiliation
  • Pickles M; Medical Research Council Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
  • Cori A; Medical Research Council Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
  • Probert WJM; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Sauter R; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Hinch R; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Fidler S; Department of Infectious Disease, Imperial College London, London, United Kingdom.
  • Ayles H; Imperial College NIHR BRC, London, United Kingdom.
  • Bock P; Zambart, School of Public Health, University of Zambia, Ridgeway Campus, Lusaka, Zambia.
  • Donnell D; Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Wilson E; Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Cape Town, South Africa.
  • Piwowar-Manning E; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
  • Floyd S; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
  • Hayes RJ; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland United States of America.
  • Fraser C; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
PLoS Comput Biol ; 17(9): e1009301, 2021 09.
Article in En | MEDLINE | ID: mdl-34473700
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / HIV Infections / Stochastic Processes / Models, Statistical Type of study: Incidence_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Africa Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: United kingdom
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / HIV Infections / Stochastic Processes / Models, Statistical Type of study: Incidence_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Africa Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: United kingdom