A Probabilistic transmission dynamic model to assess indoor airborne infection risks

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<title>A Probabilistic transmission dynamic model to assess indoor airborne infection risks</title>
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<title>Risk analysis : an international journal</title>
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<namePart>Liao, Chung-Min</namePart>
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<namePart>Chang, Chao-Fang</namePart>
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<namePart>Liang, Huang-Min</namePart>
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<abstract>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</abstract>
<note type="statement of responsibility">Chung-Min Liao, Chao-Fang Chang and Huang-Min Liang</note>
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<topic>Contaminación del aire</topic>
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<topic>Virus</topic>
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<topic>Enfermedades infecciosas</topic>
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<topic>Higiene industrial</topic>
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<topic>Ambiente de trabajo</topic>
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<topic>Modelos probabílisticos</topic>
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<title>Risk analysis : an international journal</title>
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<identifier type="local">MAP20077000345</identifier>
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<text>Vol. 25, nº 5, October 2005 ; p. 1097-1108</text>
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