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Modeling the Airborne Infection Risk of Tuberculosis for a Research Facility in eMalahleni, South Africa.

Authors :
Küsel RR
Craig IK
Stoltz AC
Source :
Risk analysis : an official publication of the Society for Risk Analysis [Risk Anal] 2019 Mar; Vol. 39 (3), pp. 630-646. Date of Electronic Publication: 2018 Sep 19.
Publication Year :
2019

Abstract

A detailed mathematical modeling framework for the risk of airborne infectious disease transmission in indoor spaces was developed to enable mathematical analysis of experiments conducted at the Airborne Infections Research (AIR) facility, eMalahleni, South Africa. A model was built using this framework to explore possible causes of why an experiment at the AIR facility did not produce expected results. The experiment was conducted at the AIR facility from August 31, 2015 to December 4, 2015, in which the efficacy of upper room germicidal ultraviolet (GUV) irradiation as an environmental control was tested. However, the experiment did not produce the expected outcome of having fewer infections in the test animal room than the control room. The simulation results indicate that dynamic effects, caused by switching the GUV lights, power outages, or introduction of new patients, did not result in the unexpected outcomes. However, a sensitivity analysis highlights that significant uncertainty exists with risk of transmission predictions based on current measurement practices, due to the reliance on large viable literature ranges for parameters.<br /> (© 2018 Society for Risk Analysis.)

Details

Language :
English
ISSN :
1539-6924
Volume :
39
Issue :
3
Database :
MEDLINE
Journal :
Risk analysis : an official publication of the Society for Risk Analysis
Publication Type :
Academic Journal
Accession number :
30229975
Full Text :
https://doi.org/10.1111/risa.13180