Characteristics and growth of the genetic HIV transmission network of Mexico City during 2020
Autor: | Héctor E Paz-Juárez, Santiago Ávila-Ríos, Margarita Matías-Florentino, Patricia Iracheta-Hernández, Pedro García-Esparza, Vanessa Dávila-Conn, Eduardo López-Ortiz, Daniela Tapia-Trejo, Israel Macías-González, Ángeles Beristain-Barreda, Miroslava Cárdenas-Sandoval, Dulce M López-Sánchez, Manuel A Becerril-Rodríguez, Joel O. Wertheim, Claudia García-Morales, Gustavo Reyes-Terán, Steven Weaver, Andrea González-Rodríguez |
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Rok vydání: | 2021 |
Předmět: |
Male
medicine.medical_specialty Higher education Population HIV prevention Psychological intervention transmission network HIV Infections molecular epidemiology law.invention genetic clustering 03 medical and health sciences Sexual and Gender Minorities 0302 clinical medicine law Intervention (counseling) Medicine Humans Gene Regulatory Networks 030212 general & internal medicine Homosexuality Male education Mexico Research Articles 030304 developmental biology 0303 health sciences education.field_of_study business.industry Public health public health 1. No poverty Public Health Environmental and Occupational Health Odds ratio 3. Good health Infectious Diseases Transmission (mechanics) Pairwise comparison Female business Demography Research Article |
Zdroj: | Journal of the International AIDS Society |
ISSN: | 1758-2652 |
Popis: | Introduction Molecular surveillance systems could provide public health benefits to focus strategies to improve the HIV care continuum. Here, we infer the HIV genetic network of Mexico City in 2020, and identify actively growing clusters that could represent relevant targets for intervention. Methods All new diagnoses, referrals from other institutions, as well as persons returning to care, enrolling at the largest HIV clinic in Mexico City were invited to participate in the study. The network was inferred from HIV pol sequences, using pairwise genetic distance methods, with a locally hosted, secure version of the HIV‐TRACE tool: Seguro HIV‐TRACE. Socio‐demographic, clinical and behavioural metadata were overlaid across the network to design focused prevention interventions. Results A total of 3168 HIV sequences from unique individuals were included. One thousand and one‐hundred and fifty (36%) sequences formed 1361 links within 386 transmission clusters in the network. Cluster size varied from 2 to 14 (63% were dyads). After adjustment for covariates, lower age (adjusted odds ratio [aOR]: 0.37, p34 vs. |
Databáze: | OpenAIRE |
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