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.
","abstract_html":"<p>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.</p>","abstract_has_math":false,"creators":["Yates, Sarah M."],"institution":null,"degree_name":"Master of Science (M.S.)","degree_level":"Thesis - Pacific Access Restricted","degree_discipline":"Biological Sciences","degree_department":null,"school":null,"contributors":["Craig A. Vierra"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012-01-01T08:00:00Z","date_published":"2012-01-01T08:00:00Z","updated_at":"2026-07-24T05:36:52Z","subjects":["Homeless persons Medical care","Social network analysis","Tuberculosis Prevention and control","Life Sciences"],"languages":[],"rights":[],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://scholarlycommons.pacific.edu/uop_etds/822","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Craig A. Vierra"]},{"key":"dc:creator","label":"Author","values":["Yates, Sarah M."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2018-06-29T09:04:51Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Biological Sciences"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - Pacific Access Restricted"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (M.S.)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Homeless persons Medical care","Social network analysis","Tuberculosis Prevention and control","Life Sciences"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarlycommons.pacific.edu/uop_etds/822"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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.
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