Stanojević, Maja (57828665700)Maja (57828665700)StanojevićJevtović, Djordje (55410443900)Djordje (55410443900)JevtovićDragović, Gordana (23396934400)Gordana (23396934400)Dragović2025-06-122025-06-122012https://doi.org/10.11599/germs.2012.1010https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887862298&doi=10.11599%2fgerms.2012.1010&partnerID=40&md5=3e0ddc4b7307a27fb8beefa5c2265282https://remedy.med.bg.ac.rs/handle/123456789/9432In recent years mathematical modeling has become a valuable tool in the analysis of infectious disease dynamics at both individual and population level. Mathematical models allow us to extrapolate from current information about the natural history of a disease, therapy/intervention outcome, state and progress of an outbreak, to predict the future and, most importantly, to quantify the uncertainty in these predictions, thus, increasingly gaining the ability to perform as a link between basic science, clinical medicine and public health. © GERMS 2012.Predicting HIV treatment response in Romania - Comment