PopART-IBM, a highly efficient stochastic individual-based simulation model of generalised HIV epidemics developed in the context of the HPTN 071 (PopART) trial

PopART-IBM, a highly efficient stochastic individual-based simulation model of generalised HIV epidemics developed in the context of the HPTN 071 (PopART) trial

Mathematical models are powerful tools in HIV epidemiology, producing quantitative projections of key indicators such as HIV incidence and prevalence. In order to improve the accuracy of predictions, such models need to incorporate a number of behavioural and biological heterogeneities, especially t...

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Bibliographic Details
Main Authors: Ayles, H. (Author), Bock, P. (Author), Cori, A. (Author), Donnell, D. (Author), Fidler, S. (Author), Floyd, S. (Author), Fraser, C. (Author), Hayes, R.J (Author), Hinch, R. (Author), Pickles, M. (Author), Piwowar-Manning, E. (Author), Probert, W.J.M (Author), Sauter, R. (Author), Wilson, E. (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
adolescent
Adolescent
adult
Adult
aged
Aged
algorithm
Algorithms
antiretroviral therapy
Antiretroviral Therapy, Highly Active
Article
awareness
Bayes theorem
calibration
computer model
computer simulation
Computer Simulation
controlled study
disease exacerbation
Disease Progression
disease simulation
epidemic
female
Female
highly active antiretroviral therapy
HIV Infections
human
Human immunodeficiency virus
Human immunodeficiency virus infection
Humans
incidence
Incidence
infection control
infection prevention
male
Male
Markov chain
middle aged
Middle Aged
Models, Statistical
Monte Carlo method
prevalence
Prevalence
reproducibility
Reproducibility of Results
statistical model
stochastic model
Stochastic Processes
virus transmission
young adult
Young Adult
Zambia
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