<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2224-7920</journal-id>
<journal-title><![CDATA[Revista de Producción Animal]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. prod. anim.]]></abbrev-journal-title>
<issn>2224-7920</issn>
<publisher>
<publisher-name><![CDATA[Ediciones Universidad de Camagüey]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2224-79202021000200046</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Simulación estocástica de un brote de enfermedad respiratoria aviar en Camagüey]]></article-title>
<article-title xml:lang="en"><![CDATA[Stochastic Simulation of Avian Respiratory Disease Outbreak in Camagüey]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Betancourt Bethencourt]]></surname>
<given-names><![CDATA[José A]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández Zayas]]></surname>
<given-names><![CDATA[Reinaldo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Álvarez Escoda]]></surname>
<given-names><![CDATA[Mayda]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Ciencias Médicas Carlos J. Finlay Grupo de investigación del Centro de Inmunología y Productos Biológicos (CENIPBI) ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Ciencias Médicas de Camagüey Cátedra de Universidad Virtual de Salud de la Universidad de Ciencias Médicas Carlos J. Finlay ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Ignacio Agramonte de Camagüey  ]]></institution>
<addr-line><![CDATA[ Camagüey]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2021</year>
</pub-date>
<volume>33</volume>
<numero>2</numero>
<fpage>46</fpage>
<lpage>54</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2224-79202021000200046&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2224-79202021000200046&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2224-79202021000200046&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Antecedentes:  Una de las razones para estudiar las enfermedades infecciosas es el incremento del control y erradicación de las mismas. Los modelos matemáticos pueden ser una herramienta poderosa para este fin, permitiendo optimizar los recursos limitados y dirigir medidas más efectivas; se utilizan para la predicción y comprensión del fenómeno en estudio.  Objetivo  Realizar simulaciones con el modelo estocástico Susceptible, Infectado, Recuperado (SIR) para introducirlos en la docencia, en los análisis epizootiológicos y en la toma de decisiones.  Métodos:  Se simuló de manera virtual con un modelo estocástico la entrada de diez aves migratorias enfermas de procesos respiratorios en fincas de criadores, donde hay como promedio un total de 5000 aves de corral de diferentes tipos. Se determinó R0 (número reproductivo básico) de acuerdo a la incidencia.  Resultados:  La simulación se corrió con un índice de transmisibilidad bajo (1,8 %) y cada ave contacta un promedio de cinco aves de manera aleatoria durante 10 días. De no hacer ninguna intervención habría a los 20 días un pico de enfermos que sobrepasaría los 3000. Se encontró un número reproductivo básico mayor que la unidad (R0=1,14) por lo que califica como brote epidémico.  Conclusiones:  Se realizaron simulaciones con el modelo estocástico con una herramienta analítica sustentable basada en el programa libre R. Se constató la necesidad de integrar la epizootiología, la epidemiologia y la matemática; por lo que deben entrenarse en estos aspectos a los estudiantes relacionados con la salud animal y la salud pública.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Background.  One of the reasons to study infectious diseases is to increase their control and eradication. Mathematical models could be a powerful tool to achieve that end, which allows for optimization of limited resources, and conduct more effective measures; these models are made to predict and increase understanding of the studied phenomenon. The aim of this paper is to conduct simulations using the stochastic model known as Susceptible, Infected, Recovered (SIR), and introduce them in the curricula of students, epizootiological analyses, and decision-making.  Methods.  Virtually the entrance of ten migrating birds with respiratory processes was simulated on bird rearing farms averaging 5000 free-range poultry from different types. The R0 was determined depending on the incidence.  Results.  Simulation was run with a low communicability index (1.8 %), that is, 1.8 out of every 100 birds get sick, after interacting with other 5 birds each, at random, for 10 days. In the absence of intervention, there would be a spike of sick animals at 20 days, surpassing 3000 birds. A basic reproductive number greater than the unit (R0=1.14) was observed, thus qualifying as an epidemic outbreak.  Conclusions.  A number of simulations were made using the stochastic model with a sustainable analytical tool based on an R-free program. The need to integrate the epizootiology, epidemiology, and mathematic was demonstrated, suggesting that appropriate training should be provided by competent professionals.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[epidemiología]]></kwd>
<kwd lng="es"><![CDATA[prevención y control]]></kwd>
<kwd lng="es"><![CDATA[trasmisión]]></kwd>
<kwd lng="es"><![CDATA[veterinaria]]></kwd>
<kwd lng="en"><![CDATA[epidemiology]]></kwd>
<kwd lng="en"><![CDATA[prevention]]></kwd>
<kwd lng="en"><![CDATA[and control]]></kwd>
<kwd lng="en"><![CDATA[transmission]]></kwd>
<kwd lng="en"><![CDATA[veterinary]]></kwd>
</kwd-group>
</article-meta>
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