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/).
Cite this article
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 -