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Methods for Assessing Spillover in Network-Based Studies of HIV/AIDS Prevention among People Who Use Drugs.
Buchanan, Ashley L; Katenka, Natallia; Lee, Youjin; Wu, Jing; Pantavou, Katerina; Friedman, Samuel R; Halloran, M Elizabeth; Marshall, Brandon D L; Forastiere, Laura; Nikolopoulos, Georgios K.
Afiliación
  • Buchanan AL; Department of Pharmacy Practice, University of Rhode Island, Kingston, RI 02881, USA.
  • Katenka N; Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI 02881, USA.
  • Lee Y; Department of Biostatistics, Brown University, Providence, RI 02912, USA.
  • Wu J; Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI 02881, USA.
  • Pantavou K; Medical School, University of Cyprus, 1678 Nicosia, Cyprus.
  • Friedman SR; Department of Population Health, New York University, New York, NY 10016, USA.
  • Halloran ME; Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
  • Marshall BDL; Department of Biostatistics, University of Washington, Seattle, WA 98195, USA.
  • Forastiere L; Department of Epidemiology, Brown University School of Public Health, Providence, RI 02912, USA.
  • Nikolopoulos GK; Department of Biostatistics, Yale School of Public Health, New Haven, CT 06520, USA.
Pathogens ; 12(2)2023 Feb 15.
Article en En | MEDLINE | ID: mdl-36839598
ABSTRACT
Human Immunodeficiency Virus (HIV) interventions among people who use drugs (PWUD) often have spillover, also known as interference or dissemination, which occurs when one participant's exposure affects another participant's outcome. PWUD are often members of networks defined by social, sexual, and drug-use partnerships and their receipt of interventions can affect other members in their network. For example, HIV interventions with possible spillover include educational training about HIV risk reduction, pre-exposure prophylaxis, or treatment as prevention. In turn, intervention effects frequently depend on the network structure, and intervention coverage levels and spillover can occur even if not measured in a study, possibly resulting in an underestimation of intervention effects. Recent methodological approaches were developed to assess spillover in the context of network-based studies. This tutorial provides an overview of different study designs for network-based studies and related methodological approaches for assessing spillover in each design. We also provide an overview of other important methodological issues in network studies, including causal influence in networks and missing data. Finally, we highlight applications of different designs and methods from studies of PWUD and conclude with an illustrative example from the Transmission Reduction Intervention Project (TRIP) in Athens, Greece.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Pathogens Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Pathogens Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos