Transmission Patterns in a Low HIV-Morbidity State - Wisconsin, 2014-2017.

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  • Additional Information
    • Affiliation:
      Division of Public Health, AIDS/HIV Program, Wisconsin Department of Health Services
      Division of HIV/AIDS Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, CDC
      Department of Medicine, University of California, San Diego
    • Subject Terms:
    • Subject Terms:
    • Abstract:
      Public health interviews (i.e., partner services), during which persons with diagnosed human immunodeficiency virus (HIV) infection name their sexual or needle-sharing partners (named partners), are used to identify HIV transmission networks to guide and prioritize HIV prevention activities. HIV sequence data, generated from provider-ordered drug resistance testing, can be used to understand characteristics of molecular clusters, a group of sequences for which each sequence is highly similar (linked) to all other sequences, and assess whether named partners are plausible HIV transmission partners. Although molecular data in higher HIV-morbidity states have been analyzed (1-3), few analyses exist for lower morbidity states (4), such as Wisconsin, which reported 4.6 HIV diagnoses per 100,000 persons aged ≥13 years in 2016 (5). The Wisconsin Division of Public Health (DPH) analyzed HIV sequence data generated from provider-ordered drug resistance testing and collected through routine HIV surveillance to identify molecular clusters and describe demographic and transmission risk characteristics among pairs of persons whose sequences were highly genetically similar (i.e., molecular linkages). In addition, overlap between partner linkages identified during public health interviews and molecular linkages was assessed. Overall, characteristics of molecular clusters in Wisconsin mirrored those from states with more HIV diagnoses, particularly in that most molecular linkages were observed among persons of the same race (78.2% of non-Hispanic blacks [blacks] linked to other blacks), the same transmission risk (90.2% of men who have sex with men [MSM] linked to other MSM), and the same age group (59.2% of persons aged 20-29 years linked to other persons aged 20-29 years). Among named partner linkages identified during interviews in which both persons also had a reported sequence, overlap of named partner and molecular linkages was moderate: 33.8% of named partners were plausible transmission partners according to available molecular data. Analysis of HIV sequence data is a useful tool for characterizing transmission patterns not immediately apparent using traditional public health interview data, even in a state with lower HIV morbidity. Prevention recommendations generated from national data (e.g., targeting preexposure prophylaxis for HIV-negative persons at high risk and implementing measures to maintain viral suppression among persons with HIV infection) also are relevant in a lower HIV-morbidity state.
    • Journal Subset:
      Biomedical; Public Health; USA
    • ISSN:
      0149-2195
    • MEDLINE Info:
      PMID: 30763299 NLM UID: 7802429
    • Grant Information:
      P30 AI036214/AI/NIAID NIH HHS/United States
    • Publication Date:
      20190307
    • Publication Date:
      20191128
    • Accession Number:
      http://dx.doi.org/10.15585/mmwr.mm6806a5
    • Accession Number:
      134763006
  • Citations
    • ABNT:
      GRANDE, K. M. et al. Transmission Patterns in a Low HIV-Morbidity State - Wisconsin, 2014-2017. MMWR: Morbidity & Mortality Weekly Report, [s. l.], v. 68, n. 6, p. 149–152, 2019. DOI 10.15585/mmwr.mm6806a5. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ccm&AN=134763006&custid=s6224580. Acesso em: 15 dez. 2019.
    • AMA:
      Grande KM, Schumann CL, Ocfemia MCB, et al. Transmission Patterns in a Low HIV-Morbidity State - Wisconsin, 2014-2017. MMWR: Morbidity & Mortality Weekly Report. 2019;68(6):149-152. doi:10.15585/mmwr.mm6806a5.
    • APA:
      Grande, K. M., Schumann, C. L., Ocfemia, M. C. B., Vergeront, J. M., Wertheim, J. O., Oster, A. M., & Bañez Ocfemia, M. C. (2019). Transmission Patterns in a Low HIV-Morbidity State - Wisconsin, 2014-2017. MMWR: Morbidity & Mortality Weekly Report, 68(6), 149–152. https://doi.org/10.15585/mmwr.mm6806a5
    • Chicago/Turabian: Author-Date:
      Grande, Katarina M., Casey L. Schumann, M. Cheryl Bañez Ocfemia, James M. Vergeront, Joel O. Wertheim, Alexandra M. Oster, and M Cheryl Bañez Ocfemia. 2019. “Transmission Patterns in a Low HIV-Morbidity State - Wisconsin, 2014-2017.” MMWR: Morbidity & Mortality Weekly Report 68 (6): 149–52. doi:10.15585/mmwr.mm6806a5.
    • Harvard:
      Grande, K. M. et al. (2019) ‘Transmission Patterns in a Low HIV-Morbidity State - Wisconsin, 2014-2017’, MMWR: Morbidity & Mortality Weekly Report, 68(6), pp. 149–152. doi: 10.15585/mmwr.mm6806a5.
    • Harvard: Australian:
      Grande, KM, Schumann, CL, Ocfemia, MCB, Vergeront, JM, Wertheim, JO, Oster, AM & Bañez Ocfemia, MC 2019, ‘Transmission Patterns in a Low HIV-Morbidity State - Wisconsin, 2014-2017’, MMWR: Morbidity & Mortality Weekly Report, vol. 68, no. 6, pp. 149–152, viewed 15 December 2019, .
    • MLA:
      Grande, Katarina M., et al. “Transmission Patterns in a Low HIV-Morbidity State - Wisconsin, 2014-2017.” MMWR: Morbidity & Mortality Weekly Report, vol. 68, no. 6, Feb. 2019, pp. 149–152. EBSCOhost, doi:10.15585/mmwr.mm6806a5.
    • Chicago/Turabian: Humanities:
      Grande, Katarina M., Casey L. Schumann, M. Cheryl Bañez Ocfemia, James M. Vergeront, Joel O. Wertheim, Alexandra M. Oster, and M Cheryl Bañez Ocfemia. “Transmission Patterns in a Low HIV-Morbidity State - Wisconsin, 2014-2017.” MMWR: Morbidity & Mortality Weekly Report 68, no. 6 (February 15, 2019): 149–52. doi:10.15585/mmwr.mm6806a5.
    • Vancouver/ICMJE:
      Grande KM, Schumann CL, Ocfemia MCB, Vergeront JM, Wertheim JO, Oster AM, et al. Transmission Patterns in a Low HIV-Morbidity State - Wisconsin, 2014-2017. MMWR: Morbidity & Mortality Weekly Report [Internet]. 2019 Feb 15 [cited 2019 Dec 15];68(6):149–52. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ccm&AN=134763006&custid=s6224580