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Random modelling of contagious (Social and Infectious) diseases: Examples of obesity and HIV and perspectives using social networks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Modelling contagious diseases needs to incorporate in the models information about social networks through which the disease spreads out as well as data about demographic and genetic changes in the susceptible population, and also to include mechanistic knowledge about contacts between hosts and pathogens. We will introduce all these elements in two examples of contagious diseases, the obesity, a social pathology partly caused by behaviour mimicking some dominant habits of nutrition and HIV transmitted through social networks. Obesity spread modelling will use the notion of homophilic graphs and we will show that a micro-simulation of IBM type (Individual Based Modelling) can reproduce the current stable incidence of the HIV epidemic in a population of HIV-positive MSM (Men having Sex with Men).

Original languageEnglish
Title of host publicationProceedings - 26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012
Pages1153-1160
Number of pages8
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012 - Fukuoka, Japan
Duration: 26 Mar 201229 Mar 2012

Publication series

NameProceedings - 26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012

Conference

Conference26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012
Country/TerritoryJapan
CityFukuoka
Period26/03/1229/03/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • contagious diseases
  • HIV
  • obesity
  • social networks

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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