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

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SP  - 409
EP  - 415
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.58
DO  - 10.2991/eusflat.2013.58
ID  - Pizzi2013/08
ER  -