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The Association Between Social Network Characteristics and Tuberculosis Infection Among Adults in 9 Rural Ugandan Communities.
Marquez, Carina; Chen, Yiqun; Atukunda, Mucunguzi; Chamie, Gabriel; Balzer, Laura B; Kironde, Joel; Ssemmondo, Emmanuel; Mwangwa, Florence; Kabami, Jane; Owaraganise, Asiphas; Kakande, Elijah; Abbott, Rachel; Ssekyanzi, Bob; Koss, Catherine; Kamya, Moses R; Charlebois, Edwin D; Havlir, Diane V; Petersen, Maya L.
Afiliação
  • Marquez C; Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA.
  • Chen Y; Department of Biostatistics, University of Washington, Seattle, Washington, USA.
  • Atukunda M; Infectious Diseases Research Collaboration, Kampala, Uganda.
  • Chamie G; Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA.
  • Balzer LB; Division of Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, California, USA.
  • Kironde J; Infectious Diseases Research Collaboration, Kampala, Uganda.
  • Ssemmondo E; Infectious Diseases Research Collaboration, Kampala, Uganda.
  • Mwangwa F; Infectious Diseases Research Collaboration, Kampala, Uganda.
  • Kabami J; Infectious Diseases Research Collaboration, Kampala, Uganda.
  • Owaraganise A; Infectious Diseases Research Collaboration, Kampala, Uganda.
  • Kakande E; Infectious Diseases Research Collaboration, Kampala, Uganda.
  • Abbott R; Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA.
  • Ssekyanzi B; Infectious Diseases Research Collaboration, Kampala, Uganda.
  • Koss C; Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA.
  • Kamya MR; Infectious Diseases Research Collaboration, Kampala, Uganda.
  • Charlebois ED; School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
  • Havlir DV; Center for AIDS Prevention Studies, School of Medicine, University of California, San Francisco, San Francisco, California, USA.
  • Petersen ML; Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA.
Clin Infect Dis ; 76(3): e902-e909, 2023 02 08.
Article em En | MEDLINE | ID: mdl-35982635
ABSTRACT

BACKGROUND:

Social network analysis can elucidate tuberculosis transmission dynamics outside the home and may inform novel network-based case-finding strategies.

METHODS:

We assessed the association between social network characteristics and prevalent tuberculosis infection among residents (aged ≥15 years) of 9 rural communities in Eastern Uganda. Social contacts named during a census were used to create community-specific nonhousehold social networks. We evaluated whether social network structure and characteristics of first-degree contacts (sex, human immunodeficiency virus [HIV] status, tuberculosis infection) were associated with revalent tuberculosis infection (positive tuberculin skin test [TST] result) after adjusting for individual-level risk factors (age, sex, HIV status, tuberculosis contact, wealth, occupation, and Bacillus Calmette-Guérin [BCG] vaccination) with targeted maximum likelihood estimation.

RESULTS:

Among 3 335 residents sampled for TST, 32% had a positive TST results and 4% reported a tuberculosis contact. The social network contained 15 328 first-degree contacts. Persons with the most network centrality (top 10%) (adjusted risk ratio, 1.3 [95% confidence interval, 1.1-1.1]) and the most (top 10%) male contacts (1.5 [1.3-1.9]) had a higher risk of prevalent tuberculosis, than those in the remaining 90%. People with ≥1 contact with HIV (adjusted risk ratio, 1.3 [95% confidence interval, 1.1-1.6]) and ≥2 contacts with tuberculosis infection were more likely to have tuberculosis themselves (2.6 [ 95% confidence interval 2.2-2.9]).

CONCLUSIONS:

Social networks with higher centrality, more men, contacts with HIV, and tuberculosis infection were positively associated with tuberculosis infection. Tuberculosis transmission within measurable social networks may explain prevalent tuberculosis not associated with a household contact. Further study on network-informed tuberculosis case finding interventions is warranted.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Tuberculose / Infecções por HIV / Tuberculose Latente / Mycobacterium tuberculosis Tipo de estudo: Risk_factors_studies Limite: Adult / Female / Humans / Male País/Região como assunto: Africa Idioma: En Revista: Clin Infect Dis Assunto da revista: DOENCAS TRANSMISSIVEIS Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Tuberculose / Infecções por HIV / Tuberculose Latente / Mycobacterium tuberculosis Tipo de estudo: Risk_factors_studies Limite: Adult / Female / Humans / Male País/Região como assunto: Africa Idioma: En Revista: Clin Infect Dis Assunto da revista: DOENCAS TRANSMISSIVEIS Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos