Optimization of Prognostication Model about the Spread of Ebola Based on SIR Model

DOI

10.2991/mmebc-16.2016.158How to use a DOI?

Keywords

SEIR Model, SEIQRD Model, Ebola forecasting

Abstract

Aiming to help eradicate the Ebola outbreak in West Africa, the article optimizes the classical SIR model which works on predicting the spread of infectious diseases, providing insight into not only forecasting how the disease continues to develop but also what measurement should be taken. The models can be applied to forecast the spread of other severe infectious diseases that can cause quantities of death in a short time.

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  - Xueer Bai
PY  - 2016/06
DA  - 2016/06
TI  - Optimization of Prognostication Model about the Spread of Ebola Based on SIR Model
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 745
EP  - 748
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.158
DO  - 10.2991/mmebc-16.2016.158
ID  - Bai2016/06
ER  -