505
Views
46
CrossRef citations to date
0
Altmetric
Original Articles

Stochastic simulation of HIV population dynamics through complex network modelling

, , , &
Pages 1175-1187 | Received 04 Jul 2007, Accepted 15 Oct 2007, Published online: 07 Aug 2008
 

Abstract

We propose a new way to model HIV infection spreading through the use of dynamic complex networks. The heterogeneous population of HIV exposure groups is described through a unique network degree probability distribution. The time evolution of the network nodes is modelled by a Markov process and gives insight in HIV disease progression. The results are validated against historical data of AIDS cases in the USA as recorded by the Center of Disease Control. We find a remarkably good correspondence between the number of simulated and registered HIV cases, indicating that our approach to modelling the dynamics of HIV spreading through a sexual network is a valid approach that opens up completely new ways of reasoning about various medication scenarios.

Acknowledgements

The authors would like to acknowledge the financial support of the European Union through the ViroLab project (www.virolab.org), EU project number: IST-027446. We thank Breanndán Ó Nualláin (University of Amsterdam) and Alex Vespignani (Indiana University) for proofreading the manuscript.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,129.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.