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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Principais autores:	Michael Pickles, Anne Cori, William J M Probert, Rafael Sauter, Robert Hinch, Sarah Fidler, Helen Ayles, Peter Bock, Deborah Donnell, Ethan Wilson, Estelle Piwowar-Manning, Sian Floyd, Richard J Hayes, Christophe Fraser, HPTN 071 (PopART) Study Team
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Public Library of Science (PLoS) 2021-09-01
סדרה:	PLoS Computational Biology
גישה מקוונת:	https://doi.org/10.1371/journal.pcbi.1009301
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!