Dynamic intimate contact social networks and epidemic interventions

Description:

This article discusses dynamic intimate contact social networks and epidemic interventions.

Creator(s):
Creation Date: 2008  
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
Usage:
Total Uses: 50
Past 30 days: 11
Yesterday: 1
Creator (Author):
Corley, Courtney

University of North Texas

Creator (Author):
Mikler, Armin R.

University of North Texas

Creator (Author):
Cook, Diane J., 1963-

Washington State University

Creator (Author):
Singh, Karan P.

University of North Texas Health Science Center

Publisher Info:
Publisher Name: Inderscience Publishers
Place of Publication: [Geneva, Switzerland]
Date(s):
  • Creation: 2008
Description:

This article discusses dynamic intimate contact social networks and epidemic interventions.

Degree:
Note:

Abstract: Sexually transmitted diseases and infections are, by definition, transferred among intimate social settings. Although the circumstances under which these social settings are established and maintained may vary, the common prerequisite remains an intimate level of social atmosphere. For this reason, the development of sexually transmitted disease mathematical and computational models must utilize dynamic and evolving social network simulation. This paper presents DynSNIC (Dynamic Social Network of Intimate Contacts), a computational simulator created to embody the intimate dynamic and evolving social networks related to the transmission of sexually transmitted diseases and infections. DynSNIC's utilization by health professionals will facilitate evaluation of targeted intervention strategies and public health policies.

Physical Description:

19 p.

Language(s):
Subject(s):
Keyword(s): dynamic social network | epidemic interventions | public health | simulation | computational epidemiology
Source: International Journal of Functional Informatics and Personalised Medicine, 2008, Geneva: Inderscience Enterprises Ltd.
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc132993
Resource Type: Article
Format: Text
Rights:
Access: Public
Citation:
Publication Title: International Journal of Functional Informatics and Personalised Medicine
Volume: 1
Issue: 2
Page Start: 171
Page End: 188
Peer Reviewed: Yes