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 language | English |
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| Title of host publication | Proceedings - 26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012 |
| Pages | 1153-1160 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | 26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012 - Fukuoka, Japan Duration: 26 Mar 2012 → 29 Mar 2012 |
Publication series
| Name | Proceedings - 26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012 |
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Conference
| Conference | 26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012 |
|---|---|
| Country/Territory | Japan |
| City | Fukuoka |
| Period | 26/03/12 → 29/03/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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