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Be-FAST and Be-CoDiS: mathematical models to predict the spread of human and livestocks diseases with real data. Application to the 2014 Ebola Virus Disease epidemic and livestock diseases

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Ivorra, Benjamin and Ramos del Olmo, Ángel Manuel and Fernández Carrión, Eduardo and Martínez López, Beatriz and Ngom, Diéne and Sánchez-Vízcaíno, José Manuel (2014) Be-FAST and Be-CoDiS: mathematical models to predict the spread of human and livestocks diseases with real data. Application to the 2014 Ebola Virus Disease epidemic and livestock diseases. In Seminario Universidad Complutense, Facultad CC. Matemáticas, 5-11-2014, Madrid. (Submitted)

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Official URL: http://www.researchgate.net/publication/267750140_Be-FAST_and_Be-CoDiS_mathematical_models_to_predict_the_spread_of_human_and_livestocks_diseases_with_real_data._Application_to_the_2014_Ebola_Virus_Disease_epidemic_and_livestock_diseases



Abstract

During this presentation, we introduce the mathematical formulation of a new spatial-temporal epidemiological model, called Be-CoDiS (Between-COuntries Disease Spread). Be-CoDiS is based on the combination of an Individual-Based model (modelling the interaction between countries, considered as individuals) for the between-countries spread with a compartmental model, based on ordinary differential equations, for the within-country spread. The goal is to simulate the spread of a particular disease and identify the risk zones worldwide. This model is a particular adaptation of a previous epidemiological software, called Be-FAST, used to predict the spatial spread of livestock diseases. Both Be-FAST and Be-CoDiS models are detailed and some real applications, such as the study of the 2014 Ebola Virus Disease epidemic or the Classical Swine Fever in Spain, are shown.


Item Type:Conference or Workshop Item (Other)
Subjects:Sciences > Mathematics > Operations research
Medical sciences > Medicine > Communicable diseases
Medical sciences > Biology > Biomathematics
ID Code:30312
Deposited On:26 May 2015 08:35
Last Modified:12 Dec 2018 15:06

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