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Elucidating Drivers for Variations in the Explosive Human Immunodeficiency Virus Epidemic Among People Who Inject Drugs in Pakistan.
Lim, Aaron G; Trickey, Adam; Thompson, Laura H; Emmanuel, Faran; Reza, Tahira E; Reynolds, Rosy; Cholette, François; Melesse, Dessalegn Y; Archibald, Chris; Sandstrom, Paul; Blanchard, James F; Vickerman, Peter.
  • Lim AG; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
  • Trickey A; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
  • Thompson LH; Centre for Global Public Health, University of Manitoba, Winnipeg, Canada.
  • Emmanuel F; Centre for Global Public Health, University of Manitoba, Winnipeg, Canada.
  • Reza TE; Canada-Pakistan HIV/AIDS Surveillance Project, Islamabad, Pakistan.
  • Reynolds R; Canada-Pakistan HIV/AIDS Surveillance Project, Islamabad, Pakistan.
  • Cholette F; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
  • Melesse DY; National HIV and Retrovirology Laboratories, JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, Winnipeg, Canada.
  • Archibald C; Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Canada.
  • Sandstrom P; Centre for Global Public Health, University of Manitoba, Winnipeg, Canada.
  • Blanchard JF; Centre for Communicable Diseases and Infection Control, Public Health Agency of Canada, Ottawa, Canada.
  • Vickerman P; National HIV and Retrovirology Laboratories, JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, Winnipeg, Canada.
Open Forum Infect Dis ; 8(9): ofab457, 2021 Sep.
Article en En | MEDLINE | ID: mdl-34584901
ABSTRACT

BACKGROUND:

Pakistan's explosive human immunodeficiency virus (HIV) epidemic among people who inject drugs (PWID) varies widely across cities. We evaluated possible drivers for these variations.

METHODS:

Multivariable regression analyses were undertaken using data from 5 national surveys among PWID (n = 18 467; 2005-2017) to determine risk factors associated with variations in city-level HIV prevalence. A dynamic HIV model was used to estimate the population-attributable fraction (PAF; proportion of HIV infections prevented over 10 years when that risk factor is removed) of these risk factors to HIV transmission and impact on HIV incidence of reducing their prevalence.

RESULTS:

Regression analyses suggested that city-level HIV prevalence is strongly associated with the prevalence of using professional injectors at last injection, heroin use in last month, and injecting ≥4 times per day. Through calibrating a model to these associations, we estimate that the 10-year PAFs of using professional injectors, heroin use, and frequent injecting are 45.3% (95% uncertainty interval [UI], 4.3%-79.7%), 45.9% (95% UI, 8.1%-78.4%), and 22.2% (95% UI, 2.0%-58.4%), respectively. Reducing to lowest city-level prevalences of using professional injectors (2.8%; median 89.9% reduction), heroin use (0.9%; median 91.2% reduction), and frequent injecting (0.1%; median 91.8% reduction) in 2020 reduces overall HIV incidence by 52.7% (95% UI, 6.1%-82.0%), 53.0% (95% UI, 11.3%-80.2%), and 28.1% (95% UI, 2.7%-66.6%), respectively, over 10 years.

CONCLUSIONS:

Interventions should focus on these risk factors to control Pakistan's explosive HIV epidemic among PWID, including a concomitant expansion of high-coverage needle/syringe provision, opioid substitution therapy, and antiretroviral therapy.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2021 Tipo del documento: Article