Molecular HIV Clustering Among Individuals with Mpox and HIV Co-Morbidity in New York State, Excluding New York City.


Journal

AIDS research and human retroviruses
ISSN: 1931-8405
Titre abrégé: AIDS Res Hum Retroviruses
Pays: United States
ID NLM: 8709376

Informations de publication

Date de publication:
11 2023
Historique:
medline: 6 11 2023
pubmed: 4 9 2023
entrez: 2 9 2023
Statut: ppublish

Résumé

The 2022 global mpox outbreak created an opportunity to test the utility of molecular HIV surveillance (MHS) to identify high-risk transmission networks. Individuals diagnosed with mpox in New York State (NYS) outside New York City-[Rest of State (ROS)] were matched to the NYS HIV and sexually transmitted infection registries. The demographic characteristics of individuals diagnosed with mpox in ROS mirror national trends. HIV-mpox comorbid individuals were more likely to be included in HIV molecular clusters compared to persons living with diagnosed HIV in ROS overall, men who have sex with men (MSM) in ROS, and age-adjusted MSM (to match individuals with mpox diagnosis) in ROS. For the 3-year 0.5% clusters, which are used to define national priority clusters, the HIV-mpox comorbid individuals clustered 2.4 times more frequently than the age/risk-adjusted control group. This study supports the use of HIV MHS to identify populations for priority public health interventions.

Identifiants

pubmed: 37658837
doi: 10.1089/AID.2023.0009
doi:

Substances chimiques

Reactive Oxygen Species 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

601-603

Auteurs

Randall Collura (R)

Division of Epidemiology, Evaluation and Partner Services, New York State Department of Health, Albany, New York, USA.

Thomas O'Grady (T)

Division of Epidemiology, Evaluation and Partner Services, New York State Department of Health, Albany, New York, USA.
Department of Epidemiology and Biostatistics, University at Albany School of Public Health, Albany, New York, USA.

Carol-Ann Swain (CA)

Division of Epidemiology, Evaluation and Partner Services, New York State Department of Health, Albany, New York, USA.

Wendy Patterson (W)

Division of Epidemiology, Evaluation and Partner Services, New York State Department of Health, Albany, New York, USA.

Deepa T Rajulu (DT)

Division of Epidemiology, Evaluation and Partner Services, New York State Department of Health, Albany, New York, USA.

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Classifications MeSH