A Mathematical Model for Predicting the Viability of Airborne Viruses
-
2010/03/01
Details
-
Personal Author:
-
Description:A mathematical model was developed to predict the viability of airborne viruses. The model uses water activity as the primary independent variable and an exponential decay function for the viability of the virus. This model was tested using published experimental data obtained by different investigators for influenza, Langat and polio viruses. The aerosolized media were modelled as a binary solution of water and sodium chloride. The water activity is related directly to the solute concentration in the binary solution. The minimum viability usually occurred just above the efflorescence point, which is the relative humidity at which the solution crystallizes. The relationship between water activity and relative humidity is based on the Köhler theory, whereby the Kelvin term was taken into account. Physical explanations are provided on the variation of viral viability at different relative humidity levels. The predictions obtained by the proposed mathematical model compare well with most of the published experimental data. [Description provided by NIOSH]
-
Subjects:
-
Keywords:
-
ISSN:0166-0934
-
Document Type:
-
Funding:
-
Genre:
-
Place as Subject:
-
CIO:
-
Division:
-
Topic:
-
Location:
-
Pages in Document:88-95
-
Volume:164
-
Issue:1
-
NIOSHTIC Number:nn:20036901
-
Citation:J Virol Methods 2010 Mar; 164(1-2):88-95
-
Contact Point Address:J.A. Posada, Department of Mechanical and Aerospace Engineering, West Virginia University, Engineering Sciences Building, Morgantown, WV 26506-6106
-
Email:alejandro.posada@mail.wvu.edu
-
Federal Fiscal Year:2010
-
Performing Organization:West Virginia University
-
Peer Reviewed:False
-
Start Date:20060801
-
Source Full Name:Journal of Virological Methods
-
End Date:20100831
-
Collection(s):
-
Main Document Checksum:urn:sha-512:83237420589d1e6fab56ea5d6f4e9ad9bf3759553993ef7603f7ea846a9c175b809599ec04acca7c8b2ec71dc9c5b369424ce7e1449177ea65153f96598cc1ec
-
Download URL:
-
File Type:
ON THIS PAGE
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like