Be-CoDiS (Between-COuntries Disease Spread) epidemiological model
What is Be-CoDiS?
Be-CoDiS (Between-COuntries Disease
Spread) is a spatial and temporal epidemiological model to study the evolution of
human diseases between countries. The goal is to simulate the spread of a
particular disease and identify risk zones worldwide. The main characteristics
of Be-CoDiS are the consideration of the migratory
flux between countries and control measure effects and the use of time
dependent coefficients adapted to each country.
How to run the model?
Requirements: Matlab (tested with 2011a or later)
Launch Matlab
Open the M-script 'becodis.m'
Modify the proposed options
and parameters at glance
Run ‘becodis.m’
to perform a simulation
Contact for additional support: ivorra@mat.ucm.es
Download (Version 3.0 – Date: 15/10/2018):
License: GNU GPL3
You should accept the following license
agreement:
The license
includes the terms of the 
GNU General Public License V3.0,
available at http://www.gnu.org/copyleft/gpl.html,
plus the following restrictions: This software is for personal use and reserved
to public research or educational purposes. Any professional utilization is
forbidden without the authors' agreement.
For
any additional information, please contact:
Free Registering:
Be-CODIS will automatically generate a License
key associated to your name. A question about the License agreements will be asked at the beginning of the first simulation.
Some reference articles:
If you use this software during a research
work, you could use the following references about the validation and the
description of the method:
1.
Authors:
Benjamin Ivorra, Angel M. Ramos and Diène Ngom
Title: Be-CoDiS: A
mathematical model to predict the risk of human diseases spread between
countries. Validation and application to the 2014 Ebola Virus Disease epidemic.
Journal: Bulletin of
Mathematical Biology
Volume: Accepted Year: 2015
Publisher: Springer
Impact Factor-2014: 1.389 Category: Biology Ranking-2014:
42/85 (Q2)
Preprint
version:
2.
Authors:
Benjamin Ivorra, Angel M. Ramos and Diène Ngom
Title: Be-CoDiS: A
mathematical model to predict the risk of human diseases spread between
countries. Validation and application to the 2014 Ebola Virus Disease epidemic.
Journal: arXiv
Volume: 1410.6153 Year: 2014
Online: http://arxiv.org/abs/1410.6153
Publisher: Cornell University Library
Workgroup:
Benjamin Ivorra (A), Diène Ngom (B) and Ángel Manuel Ramos (A)
(A) MOMAT research group, IMI-Institute & Applied
Mathematics Department. Complutense University of
Madrid, Spain.
(B) Département de Mathématiques, UFR des
Sciences et Technologies, Université Assane Seck de Ziguinchor &
Laboratoire d’Analyse Numérique et d’Informatique, Université Gaston Berger de
Saint Louis, Sénégal.