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HIV prevalence in young people and children living on the streets, Kenya

OBJECTIVE: To obtain an estimate of the size of, and human immunodeficiency (HIV) prevalence among, young people and children living on the streets of Eldoret, Kenya. METHODS: We counted young people and children using a point-in-time approach, ensuring we reached our target population by engaging r...

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Autores principales: Braitstein, Paula, Ayuku, David, DeLong, Allison, Makori, Dominic, Sang, Edwin, Tarus, Carren, Kamanda, Allan, Shah, Pooja, Apondi, Edith, Wachira, Juddy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: World Health Organization 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6307507/
https://www.ncbi.nlm.nih.gov/pubmed/30618463
http://dx.doi.org/10.2471/BLT.18.210211
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author Braitstein, Paula
Ayuku, David
DeLong, Allison
Makori, Dominic
Sang, Edwin
Tarus, Carren
Kamanda, Allan
Shah, Pooja
Apondi, Edith
Wachira, Juddy
author_facet Braitstein, Paula
Ayuku, David
DeLong, Allison
Makori, Dominic
Sang, Edwin
Tarus, Carren
Kamanda, Allan
Shah, Pooja
Apondi, Edith
Wachira, Juddy
author_sort Braitstein, Paula
collection PubMed
description OBJECTIVE: To obtain an estimate of the size of, and human immunodeficiency (HIV) prevalence among, young people and children living on the streets of Eldoret, Kenya. METHODS: We counted young people and children using a point-in-time approach, ensuring we reached our target population by engaging relevant community leaders during the planning of the study. We acquired point-in-time count data over a period of 1 week between the hours of 08:00 and 23:00, from both a stationary site and by mobile teams. Participants provided demographic data and a fingerprint (to avoid double-counting) and were encouraged to speak with an HIV counsellor and undergo HIV testing. We used a logistic regression model to test for an association between age or sex and uptake of HIV testing and seropositivity. FINDINGS: Of the 1419 eligible participants counted, 1049 (73.9%) were male with a median age of 18 years. Of the 1029 who spoke with a counsellor, 1004 individuals accepted HIV counselling and 947 agreed to undergo an HIV test. Combining those who were already aware of their HIV-positive status with those who were tested during our study resulted in an overall HIV seroprevalence of 4.1%. The seroprevalence was 2.7% (19/698) for males and 8.9% (23/259) for females. We observed an increase in seroprevalence with increasing age for both sexes, but of much greater magnitude for females. CONCLUSION: By counting young people and children living on the streets and offering them HIV counselling and testing, we could obtain population-based estimates of HIV prevalence.
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spelling pubmed-63075072019-01-08 HIV prevalence in young people and children living on the streets, Kenya Braitstein, Paula Ayuku, David DeLong, Allison Makori, Dominic Sang, Edwin Tarus, Carren Kamanda, Allan Shah, Pooja Apondi, Edith Wachira, Juddy Bull World Health Organ Research OBJECTIVE: To obtain an estimate of the size of, and human immunodeficiency (HIV) prevalence among, young people and children living on the streets of Eldoret, Kenya. METHODS: We counted young people and children using a point-in-time approach, ensuring we reached our target population by engaging relevant community leaders during the planning of the study. We acquired point-in-time count data over a period of 1 week between the hours of 08:00 and 23:00, from both a stationary site and by mobile teams. Participants provided demographic data and a fingerprint (to avoid double-counting) and were encouraged to speak with an HIV counsellor and undergo HIV testing. We used a logistic regression model to test for an association between age or sex and uptake of HIV testing and seropositivity. FINDINGS: Of the 1419 eligible participants counted, 1049 (73.9%) were male with a median age of 18 years. Of the 1029 who spoke with a counsellor, 1004 individuals accepted HIV counselling and 947 agreed to undergo an HIV test. Combining those who were already aware of their HIV-positive status with those who were tested during our study resulted in an overall HIV seroprevalence of 4.1%. The seroprevalence was 2.7% (19/698) for males and 8.9% (23/259) for females. We observed an increase in seroprevalence with increasing age for both sexes, but of much greater magnitude for females. CONCLUSION: By counting young people and children living on the streets and offering them HIV counselling and testing, we could obtain population-based estimates of HIV prevalence. World Health Organization 2019-01-01 2018-11-06 /pmc/articles/PMC6307507/ /pubmed/30618463 http://dx.doi.org/10.2471/BLT.18.210211 Text en (c) 2019 The authors; licensee World Health Organization. This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL.
spellingShingle Research
Braitstein, Paula
Ayuku, David
DeLong, Allison
Makori, Dominic
Sang, Edwin
Tarus, Carren
Kamanda, Allan
Shah, Pooja
Apondi, Edith
Wachira, Juddy
HIV prevalence in young people and children living on the streets, Kenya
title HIV prevalence in young people and children living on the streets, Kenya
title_full HIV prevalence in young people and children living on the streets, Kenya
title_fullStr HIV prevalence in young people and children living on the streets, Kenya
title_full_unstemmed HIV prevalence in young people and children living on the streets, Kenya
title_short HIV prevalence in young people and children living on the streets, Kenya
title_sort hiv prevalence in young people and children living on the streets, kenya
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6307507/
https://www.ncbi.nlm.nih.gov/pubmed/30618463
http://dx.doi.org/10.2471/BLT.18.210211
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