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Mathematical formulation and validation of the Be-FAST model for Classical Swine Fever Virus spread between and within farms

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  • Benjamin Ivorra
  • Beatriz Martínez-López
  • José Sánchez-Vizcaíno
  • Ángel Ramos

Abstract

Classical Swine Fever is a viral disease of pigs that causes severe restrictions on the movement of pigs and pig products in the affected areas. The knowledge of its spread patterns and risk factors would help to implement specific measures for controlling future outbreaks. In this article, we describe in detail a spatial hybrid model, called Be-FAST, based on the combination of a stochastic Individual-Based model (modeling the interactions between the farms, considered as individuals) for between-farm spread with a Susceptible-Infected model for within-farm spread, to simulate the spread of this disease and identify risk zones in a given region. First, we focus on the mathematical formulation of each component of the model. Then, in order to validate Be-FAST, we perform various numerical experiments considering the Spanish province of Segovia. Obtained results are compared with the ones given by two other Individual-Based models and real outbreaks data from Segovia and The Netherlands. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Benjamin Ivorra & Beatriz Martínez-López & José Sánchez-Vizcaíno & Ángel Ramos, 2014. "Mathematical formulation and validation of the Be-FAST model for Classical Swine Fever Virus spread between and within farms," Annals of Operations Research, Springer, vol. 219(1), pages 25-47, August.
    • Handle: RePEc:spr:annopr:v:219:y:2014:i:1:p:25-47:10.1007/s10479-012-1257-4
    DOI: 10.1007/s10479-012-1257-4
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    Cited by:

    1. Sintunavarat, Wutiphol & Turab, Ali, 2022. "Mathematical analysis of an extended SEIR model of COVID-19 using the ABC-fractional operator," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 198(C), pages 65-84.
    2. Carbone, Giuseppe & De Vincenzo, Ilario, 2022. "A general theory for infectious disease dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).

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