Transmission Network Analysis to Complement Routine Tuberculosis Contact Investigations.
Objective. We examined the feasibility and value of network analysis to complement routine tuberculosis (TB) contact investigation procedures during an outbreak. Methods. We reviewed hospital, health department, and jail records and interviewed TB patients. Mycobacterium tuberculosis isolates were g...
| Publicado en: | American Journal of Public Health Vol. 97; no. 3; pp. 470 - 478 |
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| Autores principales: | , , |
| Formato: | Artículo |
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American Public Health Association
March 2007
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=507963880&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507963880 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: March 2007 vid: 97 iid: 3 pid: 44 pub: American Public Health Association artinfo: ui: 507963880 10.2105/AJPH.2005.071936 ppf: 470 ppct: 8 formats: tig: atl: Transmission Network Analysis to Complement Routine Tuberculosis Contact Investigations. aug: au: Andre, McKenzie Ijaz, Kashef Tillinghast, Jon D. su: Tuberculosis transmission Social network analysis Public health research Network analysis (Planning) Computer software Oklahoma sug: subj: Oklahoma Tuberculosis transmission Social network analysis Public health research Network analysis (Planning) Computer software ab: Objective. We examined the feasibility and value of network analysis to complement routine tuberculosis (TB) contact investigation procedures during an outbreak. Methods. We reviewed hospital, health department, and jail records and interviewed TB patients. Mycobacterium tuberculosis isolates were genotyped. We evaluated contacts of TB patients for latent TB infection (LTBI) and TB, and analyzed routine contact investigation data, including tuberculin skin test (TST) results. Outcomes included number of contacts identified, number of contacts evaluated, and their TST status. We used network analysis visualizations and metrics (reach, degree, between ness) to characterize the outbreak Results. The index patient was symptomatic for 8 months and was linked to 37 secondary TB patients and more than 1200 contacts. Genotyping detected a 21-band pattern of a strain W variant. No HIV-infected patients were diagnosed. Contacts prioritized by network analysis were more likely to have LTBI than nonprioritized contacts (odds ratio = 7.8; 95% confidence interval = 1.6, 36.6). Network visualizations and metrics highlighted patients central to sustaining the outbreak and helped prioritize contacts for evaluation. Conclusions. A network-informed approach to TB contact investigations provided a novel means to examine large quantities of data and helped focus TB control. (Am J Public Health. 2007;97:470-477. doi:10.2105/AJPH.2005.071936) Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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