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Mathematical modeling for real epidemics situations. The case of classical swine fever virus

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dc.book.titlePrograma y resúmenes XXII CEDYA, XXII Congreso de Ecuaciones Diferenciales y Aplicaciones, XII CMA, XII Congreso de Matemática Aplicada, Palma de Mallorca, 5-9 septiembre de 2011
dc.contributor.authorRamos Del Olmo, Ángel Manuel
dc.contributor.authorIvorra, Benjamín Pierre Paul
dc.contributor.authorMartínez López, Beatriz
dc.contributor.authorSánchez-Vizcaíno Rodríguez, José Manuel
dc.date.accessioned2023-06-20T05:47:04Z
dc.date.available2023-06-20T05:47:04Z
dc.date.issued2011
dc.description.abstractIn this work, we describe a model to simulate the spread of withinand between- farms transmission of Classical swine fever virus (CSFV). It is a spatial hybrid model, based on the combination of a stochastic individual based model for between-farm spread with a Susceptible-Infected model for within- farm spread. An important characteristic of this model is the use, as an input, of the information available in real databases. The aim of this model is to quantify the magnitude, duration and risk zones of potential CSFV epidemics to provide support for the decision making process in future CSFV outbreaks. Model parameters and assumptions are provided and an illustration of the model’s results is performed by using available data from the Spanish region of Segovia. The outputs are also compared with those given by another model.
dc.description.departmentDepto. de Análisis Matemático y Matemática Aplicada
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Ciencia e Innovación (España)
dc.description.sponsorshipBanco de Santander
dc.description.sponsorshipUniversidad Complutense
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/30900
dc.identifier.isbn978-84-694-4935-6
dc.identifier.officialurlhttp://www.uibcongres.org/congresos/ponencia.es.html?cc=194&mes=56&ordpon=5
dc.identifier.relatedurlhttp://www.uibcongres.org/congresos/ficha.es.html?cc=194
dc.identifier.urihttps://hdl.handle.net/20.500.14352/45580
dc.language.isoeng
dc.page.final15
dc.page.initial1
dc.page.total229
dc.publication.placePalma de Mallorca
dc.publisherUniversitat de les Illes Balears
dc.relation.projectIDMTM2008-04621
dc.relation.projectIDIngenio Mathematica (i-MATH) No. CSD2006-00032
dc.relation.projectIDIngenio Mathematica (i-MATH) No. CONSC6-0356
dc.rights.accessRightsopen access
dc.subject.cdu519.8:636.4
dc.subject.keywordEpidemiological modeling
dc.subject.keywordIndividual Based model
dc.subject.keywordRisk Analysis
dc.subject.keywordClassical Swine Fever
dc.subject.ucmInvestigación operativa (Matemáticas)
dc.subject.ucmGanado porcino
dc.subject.unesco1207 Investigación Operativa
dc.subject.unesco3104.08 Porcinos
dc.titleMathematical modeling for real epidemics situations. The case of classical swine fever virus
dc.typebook part
dcterms.references[1] R.M. Anderson and R.M. May. Population biology of infectious diseases: Part 1. Nature, 280:361–367, 1979. [2] Junta de Castilla y Leon and Ministerio de Agricultura Pesca y Alimentacin. Expert opinion elicitation performed for foot-and-mouth disease and classical swine fever with the veterinary services. web site: http://www.jcyl.es and http://www.marm.es, 2008. [3] A.R.W. Elbers, A. Stegeman, H. Moser, H.M. Ekker, J.A. Smak, and H. Pluimers. The csf epidemic 1997-1998 in the netherlands: descriptive epidemiology. Prev. Vet. Med., 4:157–184, 1999. [4] G.F. Jenks. The data model concept in statistical mapping. International Yearbook of Cartography, 7:186–190, 1967. [5] S. Kartsen, G. Rave, and J. Krieter. Monte carlo simulation of classical swine fever epidemics and control i. general concepts and description of the model. Vet. Microbiol., 108:187–198, 2005. [6] D. Klinkenberg, J. De Bree, H. Laevens, and M.C.M. De Jong. Whithin- and betweempen transmission of csf virus: a new method to estimate the basic reproduction ration from transmission experiments. part 1. Epidemiol. Infect, 128:293–299, 2002. [7] F. Koenen, G. Van Caenegem, J.P. Vermeersch, J. Vandenheede, and H. Deluyker. Epidemiological characteristics of an outbreak of classical swine fever in an area of high pig density. Vet. Record, 139(15):367–371, 1996. [8] B. Martínez-Lopez. Desarrollo de modelos epidemiolgicos cuantitativos para el análisis del riesgo de introducción y difusón potencial de los virus de la fiebre aftosa y de la peste porcina clásica en España. PhD thesis, Universidad Complutense de Madrid, Facultad de Veterinaria, Spain, 2009. [9] B. Martínez-Lopez, B. Ivorra, A.M. Ramos, and J.M. Sánchez-Vizcaíno. A novel spatial and stochastic model to evaluate the within and between farm transmission of classical swine fever virus: 1. general concepts and description of the model. Vet. Microbiol., 147(3):300–309, 2011. [10] V. Moennig. Introduction to classical swine fever: virus, disease and control policy. Vet. Microbiol., 73(2):93–102, 2000. [11] A. Stegeman, A.R.W. Elbers, A. Bouma, and M.C.M. De Jong. Rate of inter-farm transmission of classical swine fever virus by different types of contact during the 1997-8 epidemic in the netherlands. Epidemiol. Infect., 128:285–291, 2002. [12] M. Stern. InterSpread Plus User Guide. Institute of Veterinary, Animal, and Biomedical Sciences, Massey University, Palmerston North, New Zealand., 2003.
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