Prediction of infectious disease spread based on cellular automata

DOI

10.2991/wartia-16.2016.191How to use a DOI?

Keywords

Cellular Automata Moore expansion neighborhood distance factor.

Abstract

Nowadays the infectious disease has greatly affected our life. Infected persons and deaths have reached a record high . And it is still in the state of deterioration. Therefore, I try to establish a predictive model of the current virus spread .Aiming at the spread of infectious diseases, Professor Kermack and Professor McKendrick presented the traditional SIR model. But the dynamic simulation of the numerical analysis of the model shows that it needs further improvement. Also the infected process of the patients is not intuitive.Considering all the above factors, I take people in the epidemic area into six states and the terms of isolation rate, infection rate and cure rate are introduced to describe the relations between the six states.By applying the distance factor[1],I broaden the traditional Moore neighborhood.Then the cellular automata model aiming at the infectious disease is established.

Copyright

© 2016, 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  - Donghui Wang
PY  - 2016/05
DA  - 2016/05
TI  - Prediction of infectious disease spread based on cellular automata
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 902
EP  - 905
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.191
DO  - 10.2991/wartia-16.2016.191
ID  - Wang2016/05
ER  -