A statistical network analysis of the HIV/AIDS epidemics in Cuba

Original Article
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Abstract

The Cuban contact-tracing detection system set up in 1986 allowed the reconstruction and analysis of the sexual network underlying the epidemic (5389 vertices and 4073 edges, giant component of 2386 nodes and 3168 edges), shedding light onto the spread of HIV and the role of contact-tracing. Clustering based on modularity optimization provides a better visualization and understanding of the network, in combination with the study of covariates. The graph has a globally low but heterogeneous density, with clusters of high intraconnectivity but low interconnectivity. Though descriptive, our results pave the way for incorporating structure when studying stochastic SIR epidemics spreading on social networks.

Keywords

Cuban HIV/AIDS epidemics Contact-tracing Social network Graph-mining Clustering 

Supplementary material

13278_2015_291_MOESM1_ESM.pdf (1.7 mb)
Supplementary material 1 (pdf 1717 KB)
13278_2015_291_MOESM2_ESM.mp4 (3.6 mb)
An mp4 film showing how the giant component is built with time is also provided in the electronic supplementary material. Supplementary material 2(MP4 3659 kb)

Copyright information

© Springer-Verlag Wien 2015

Authors and Affiliations

  1. 1.Institut Telecom, LTCI UMR Telecom ParisTech/CNRS 5141ParisFrance
  2. 2.Université René Descartes, MAP5 UMR CNRS 8145ParisFrance
  3. 3.Facultad de Matemática y ComputaciónUniversidad de la HabanaLa HabanaCuba
  4. 4.SAMM EA 4543Université Paris 1 Panthé on-Sorbonne, Centre PMFParis Cedex 13France
  5. 5.Laboratoire Paul PainlevéUMR CNRS 8524, Université Lille 1Villeneuve d’Ascq CedexFrance

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