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Transmission network analysis to complement routine tuberculosis contact investigations

Author

Listed:
  • Andre, M.
  • Ijaz, K.
  • Tillinghast, J.D.
  • Krebs, V.E.
  • Diem, L.A.
  • Metchock, B.
  • Crisp, T.
  • McElroy, P.D.

Abstract

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, betweenness) 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.

Suggested Citation

  • Andre, M. & Ijaz, K. & Tillinghast, J.D. & Krebs, V.E. & Diem, L.A. & Metchock, B. & Crisp, T. & McElroy, P.D., 2007. "Transmission network analysis to complement routine tuberculosis contact investigations," American Journal of Public Health, American Public Health Association, vol. 97(3), pages 470-477.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2005.071936_1
    DOI: 10.2105/AJPH.2005.071936
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    Cited by:

    1. Roland Diel & Albert Nienhaus, 2023. "Pathways of TB Transmission in Children—A Systematic Review of Molecular Epidemiological Studies," IJERPH, MDPI, vol. 20(3), pages 1-10, January.
    2. Bjarke Frost Nielsen & Kim Sneppen & Lone Simonsen & Joachim Mathiesen, 2021. "Differences in social activity increase efficiency of contact tracing," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(10), pages 1-11, October.
    3. Ge, Erjia & Lai, Poh-Chin & Zhang, Xiulei & Yang, Xiaohuan & Li, Xuezheng & Wang, Haiying & Wei, Xiaolin, 2015. "Regional transport and its association with tuberculosis in the Shandong province of China, 2009–2011," Journal of Transport Geography, Elsevier, vol. 46(C), pages 232-243.

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