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A Probabilistic transmission dynamic model to assess indoor airborne infection risks

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<dc:creator>Liao, Chung-Min</dc:creator>
<dc:creator>Chang, Chao-Fang</dc:creator>
<dc:creator>Liang, Huang-Min</dc:creator>
<dc:date>2005-10-01</dc:date>
<dc:description xml:lang="es">Airborne transmission is known to be a route of infection for diseases. About 15 million of 57 million annual deaths worldwide are estimated to be related directly with infectious diseases. The objective of this article is to quantify the public health risk associated with indoor airbone infection based on a probabilistic transmission dynamic modeling approach</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/59499.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Contaminación del aire</dc:subject>
<dc:subject xml:lang="es">Virus</dc:subject>
<dc:subject xml:lang="es">Enfermedades infecciosas</dc:subject>
<dc:subject xml:lang="es">Higiene industrial</dc:subject>
<dc:subject xml:lang="es">Ambiente de trabajo</dc:subject>
<dc:subject xml:lang="es">Modelos probabílisticos</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">A Probabilistic transmission dynamic model to assess indoor airborne infection risks</dc:title>
<dc:title xml:lang="es">Título: Risk analysis : an international journal</dc:title>
<dc:relation xml:lang="es">En: Risk analysis : an international journal. - New York and London. - Vol. 25, nº 5, October 2005 ; p. 1097-1108</dc:relation>
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