Employing Molecular Phylodynamic Methods to Identify and Forecast HIV Transmission Clusters in Public Health Settings: A Qualitative Study.
HIV phylogenetics
HIV prevention
focus groups
molecular epidemiology
qualitative research
surveillance
Journal
Viruses
ISSN: 1999-4915
Titre abrégé: Viruses
Pays: Switzerland
ID NLM: 101509722
Informations de publication
Date de publication:
22 08 2020
22 08 2020
Historique:
received:
19
07
2020
revised:
18
08
2020
accepted:
21
08
2020
entrez:
27
8
2020
pubmed:
28
8
2020
medline:
20
2
2021
Statut:
epublish
Résumé
Molecular HIV surveillance is a promising public health strategy for curbing the HIV epidemic. Clustering technologies used by health departments to date are limited in their ability to infer/forecast cluster growth trajectories. Resolution of the spatiotemporal dynamics of clusters, through phylodynamic and phylogeographic modelling, is one potential strategy to develop a forecasting tool; however, the projected utility of this approach needs assessment. Prior to incorporating novel phylodynamic-based molecular surveillance tools, we sought to identify possible issues related to their feasibility, acceptability, interpretation, and utility. Qualitative data were collected via focus groups among field experts (
Identifiants
pubmed: 32842636
pii: v12090921
doi: 10.3390/v12090921
pmc: PMC7551766
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIAID NIH HHS
ID : R01 AI087520
Pays : United States
Organisme : NIAID NIH HHS
ID : R21 AI138815
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI135946
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI145552
Pays : United States
Organisme : NIAAA NIH HHS
ID : T32-AA025877
Pays : United States
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