A Probabilistic transmission dynamic model to assess indoor airborne infection risks

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      <subfield code="a">A Probabilistic transmission dynamic model to assess indoor airborne infection risks</subfield>
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      <subfield code="a">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</subfield>
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      <subfield code="a">Risk analysis : an international journal</subfield>
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      <subfield code="g">Vol. 25, nº 5, October 2005 ; p. 1097-1108</subfield>
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