Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)

Prediction of the Number of the Infective People By Using SIR Method

Authors
Jianrui Xing
Corresponding Author
Jianrui Xing
Available Online September 2016.
DOI
https://doi.org/10.2991/amitp-16.2016.10How to use a DOI?
Keywords
SIR model, Ebola
Abstract
We establish the SIR model, in which we define three groups i.e. the Susceptive, the Infective and the Remove. The sum of the proportion of the three groups is 1. The three groups' rate of change can be obtained. We can get the phase path, with the initial rate of the Susceptive—S(t) and the rate of the Infective—I(t). We can get the best touch rate and cure rate by curve fitting. Finally we can get the variation of the number of the Infective,
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Proceedings
2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-245-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/amitp-16.2016.10How 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  - Jianrui Xing
PY  - 2016/09
DA  - 2016/09
TI  - Prediction of the Number of the Infective People By Using SIR Method
BT  - 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
PB  - Atlantis Press
SP  - 52
EP  - 56
SN  - 2352-538X
UR  - https://doi.org/10.2991/amitp-16.2016.10
DO  - https://doi.org/10.2991/amitp-16.2016.10
ID  - Xing2016/09
ER  -