Literature DB >> 31050604

Trust and Expectations of Researchers and Public Health Departments for the Use of HIV Molecular Epidemiology.

Cynthia E Schairer1, Sanjay R Mehta2,3,4, Staal A Vinterbo5, Martin Hoenigl2, Michael Kalichman4,6, Susan J Little2.   

Abstract

Background: Molecular epidemiology (ME) is a technique used to study the dynamics of pathogen transmission through a population. When used to study HIV infections, ME generates powerful information about how HIV is transmitted, including epidemiologic patterns of linkage and, potentially, transmission direction. Thus, ME raises challenging questions about the most responsible way to protect individual privacy while acquiring and using these data to advance public health and inform HIV intervention strategies. Here, we report on stakeholders' expectations for how researchers and public health agencies might use HIV ME.
Methods: We conducted in-depth semistructured interviews with 40 key stakeholders to find out how these individuals respond to the proposed risks and benefits of HIV ME. Transcripts were coded and analyzed using Atlas.ti. Expectations were assessed through analysis of responses to hypothetical scenarios designed to help interviewees think through the implications of this emerging technique in the contexts of research and public health.
Results: Our analysis reveals a wide range of imagined responsibilities, capabilities, and trustworthiness of researchers and public health agencies. Specifically, many respondents expect researchers and public health agencies to use HIV ME carefully and maintain transparency about how data will be used. Informed consent was discussed as an important opportunity for notification of privacy risks. Furthermore, some respondents wished that public health agencies were held to the same form of oversight and accountability represented by informed consent in research. Conclusions: To prevent HIV ME from becoming a barrier to testing or a source of public mistrust, the sense of vulnerability expressed by some respondents must be addressed. In research, informed consent is an obvious opportunity for this. Without giving specimen donors a similar opportunity to opt out, public health agencies may find it difficult to adopt HIV ME without deterring testing and treatment.

Entities:  

Keywords:  HIV; genetics; molecular epidemiology; privacy

Mesh:

Year:  2019        PMID: 31050604      PMCID: PMC7233550          DOI: 10.1080/23294515.2019.1601648

Source DB:  PubMed          Journal:  AJOB Empir Bioeth        ISSN: 2329-4515


  30 in total

Review 1.  Public engagement as a means of restoring public trust in science--hitting the notes, but missing the music?

Authors:  Brian Wynne
Journal:  Community Genet       Date:  2006

2.  Identifying personal genomes by surname inference.

Authors:  Melissa Gymrek; Amy L McGuire; David Golan; Eran Halperin; Yaniv Erlich
Journal:  Science       Date:  2013-01-18       Impact factor: 47.728

3.  Phylogenetic insights into regional HIV transmission.

Authors:  Ann M Dennis; Stéphane Hué; Christopher B Hurt; Sonia Napravnik; Joseph Sebastian; Deenan Pillay; Joseph J Eron
Journal:  AIDS       Date:  2012-09-10       Impact factor: 4.177

4.  Return of individual genomic research results: what do consent forms tell participants?

Authors:  Stacey Pereira; Jill Oliver Robinson; Amy L McGuire
Journal:  Eur J Hum Genet       Date:  2016-06-22       Impact factor: 4.246

5.  Impact of Public Safety Policies on Human Immunodeficiency Virus Transmission Dynamics in Tijuana, Mexico.

Authors:  Sanjay R Mehta; Antoine Chaillon; Tommi L Gaines; Patricia E Gonzalez-Zuniga; Jamila K Stockman; Horatio Almanza-Reyes; Jose Roman Chavez; Alicia Vera; Karla D Wagner; Thomas L Patterson; Brianna Scott; Davey M Smith; Steffanie A Strathdee
Journal:  Clin Infect Dis       Date:  2018-02-10       Impact factor: 9.079

6.  Assessing the privacy risks of data sharing in genomics.

Authors:  C Heeney; N Hawkins; J de Vries; P Boddington; J Kaye
Journal:  Public Health Genomics       Date:  2010-03-29       Impact factor: 2.000

7.  Relationships hold the key to trustworthy and productive translational science: recommendations for expanding community engagement in biomedical research.

Authors:  Mark Yarborough; Kelly Edwards; Paula Espinoza; Gail Geller; Alok Sarwal; Richard Sharp; Paul Spicer
Journal:  Clin Transl Sci       Date:  2013-01-14       Impact factor: 4.689

8.  HIV Transmission Networks in the San Diego-Tijuana Border Region.

Authors:  Sanjay R Mehta; Joel O Wertheim; Kimberly C Brouwer; Karla D Wagner; Antoine Chaillon; Steffanie Strathdee; Thomas L Patterson; Maria G Rangel; Mlenka Vargas; Ben Murrell; Richard Garfein; Susan J Little; Davey M Smith
Journal:  EBioMedicine       Date:  2015-07-18       Impact factor: 8.143

9.  Rates of Prevalent HIV Infection, Prevalent Diagnoses, and New Diagnoses Among Men Who Have Sex With Men in US States, Metropolitan Statistical Areas, and Counties, 2012-2013.

Authors:  Eli Samuel Rosenberg; Jeremy Alexander Grey; Travis Howard Sanchez; Patrick Sean Sullivan
Journal:  JMIR Public Health Surveill       Date:  2016-05-17

10.  Perceptions of molecular epidemiology studies of HIV among stakeholders.

Authors:  Cynthia Schairer; Sanjay R Mehta; Staal A Vinterbo; Martin Hoenigl; Michael Kalichman; Susan Little
Journal:  J Public Health Res       Date:  2017-12-13
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  1 in total

1.  Employing Molecular Phylodynamic Methods to Identify and Forecast HIV Transmission Clusters in Public Health Settings: A Qualitative Study.

Authors:  Shannan N Rich; Veronica L Richards; Carla N Mavian; William M Switzer; Brittany Rife Magalis; Karalee Poschman; Shana Geary; Steven E Broadway; Spencer B Bennett; Jason Blanton; Thomas Leitner; J Lucas Boatwright; Nichole E Stetten; Robert L Cook; Emma C Spencer; Marco Salemi; Mattia Prosperi
Journal:  Viruses       Date:  2020-08-22       Impact factor: 5.818

  1 in total

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