Tuberculosis (TB) is one of the most deadly diseases worldwide. In the United States, TB disproportionately affects foreign-born individuals, individuals living in congregate settings, people with human immunodeficiency virus, and people who use illicit drugs. In 2005, a large homeless shelter outbreak in San Joaquin County resulted in 67 individuals diagnosed with TB with links to a homeless shelter. It is hypothesized that by using bed analysis to identify contacts that have been exposed to TB during this outbreak will allow for better identification of exposed high-risk individuals than screening alone. Demographics, exposure, screening, and QuantiFERON-Tuberculosis results were analyzed using bed assignments from the homeless shelter database and data from a homeless shelter screening (HSS) program. Individuals diagnosed with active TB disease were on average more likely to be identified through bed analysis than HSS, 95.08% versus 59.02%. Utilizing both bed analysis and HSS allows for improvement of identification and continuous testing of individuals exposed to TB.
Identifer | oai:union.ndltd.org:pacific.edu/oai:scholarlycommons.pacific.edu:uop_etds-1821 |
Date | 01 January 2012 |
Creators | Yates, Sarah M. |
Publisher | Scholarly Commons |
Source Sets | University of the Pacific |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | University of the Pacific Theses and Dissertations |
Page generated in 0.0021 seconds