Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)

On the Role of Soft Computing in Modelling the Spread of Infectious Diseases

Authors
Nick Pizzi
Corresponding Author
Nick Pizzi
Available Online August 2013.
DOI
https://doi.org/10.2991/eusflat.2013.58How to use a DOI?
Keywords
infectious disease modelling soft computing epidemiology fuzzy sets dynamical systems agent-based models public health
Abstract
Infectious disease modelling is an interdisciplinary research activity that has become more prevalent over the last decade as a valuable and practical tool for public health experts. Soft computing, with its suite of techniques and strategies, which effectively handles imprecise, approximate, and vague scenarios, can play an important role in expanding the use of these models. We present a review of soft computing techniques that have been used in infectious disease modelling as well as a prescription of future challenges and issues this discipline must address to be fully accepted by the public health community.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-78-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/eusflat.2013.58How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Nick Pizzi
PY  - 2013/08
DA  - 2013/08
TI  - On the Role of Soft Computing in Modelling the Spread of Infectious Diseases
BT  - 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.58
DO  - https://doi.org/10.2991/eusflat.2013.58
ID  - Pizzi2013/08
ER  -