Challenges in evaluating the use of viral sequence data to identify HIV transmission networks for public health.
HIV
contact tracing
phylogeny
public health
Journal
Statistical communications in infectious diseases
ISSN: 2194-6310
Titre abrégé: Stat Commun Infect Dis
Pays: United States
ID NLM: 101529978
Informations de publication
Date de publication:
Sep 2020
Sep 2020
Historique:
entrez:
4
11
2021
pubmed:
1
9
2020
medline:
1
9
2020
Statut:
ppublish
Résumé
Great efforts are devoted to end the HIV epidemic as it continues to have profound public health consequences in the United States and throughout the world, and new interventions and strategies are continuously needed. The use of HIV sequence data to infer transmission networks holds much promise to direct public heath interventions where they are most needed. As these new methods are being implemented, evaluating their benefits is essential. In this paper, we recognize challenges associated with such evaluation, and make the case that overcoming these challenges is key to the use of HIV sequence data in routine public health actions to disrupt HIV transmission networks.
Identifiants
pubmed: 34733405
doi: 10.1515/scid-2019-0019
pmc: PMC8561650
mid: NIHMS1751033
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : NIAID NIH HHS
ID : P30 AI042853
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI120792
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI136058
Pays : United States
Déclaration de conflit d'intérêts
Competing interests: Authors state no conflict of interest.
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