Modeling and simulation of epidemic spread: Recent advances

Maad Shatnawi, Sanja Lazarova-Molnar, Nazar Zaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Epidemics have disturbed human lives for centuries causing massive numbers of deaths and illnesses among people and animals. As the number of urbanized and mobile population has increased, the possibility of a worldwide pandemic has grown too. The latest advances in high-performance computing and computational network science can help computational epidemiologists to develop large-scale high-fidelity models of epidemic spread. These models can help to characterize the large-scale patterns of epidemics and guide public health officials and policy makers in taking appropriate decisions to prevent and control such epidemics. This paper presents an overview of the epidemic spread modeling and simulation, and summarizes the main technical challenges in this field. It further investigates the most relevant recent approaches carried out towards this perspective and provides a comparison and classification of these approaches.

Original languageEnglish
Title of host publication2013 9th International Conference on Innovations in Information Technology, IIT 2013
Pages118-123
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 9th International Conference on Innovations in Information Technology, IIT 2013 - Abu Dhabi, Al-Ain, United Arab Emirates
Duration: Mar 17 2013Mar 19 2013

Publication series

Name2013 9th International Conference on Innovations in Information Technology, IIT 2013

Other

Other2013 9th International Conference on Innovations in Information Technology, IIT 2013
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi, Al-Ain
Period3/17/133/19/13

Keywords

  • epidemic spread
  • modeling
  • review
  • simulation

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Information Systems

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