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

Authors: Braitstein, P., Ayuku, D., Delong, A., Makori, D., Sang, E., Tarus, C., Kamanda, A., Shah, P., Apondi, E. and Wachira, J.

Journal: Bulletin of the World Health Organization

Volume: 97

Issue: 1

Pages: 33-41

eISSN: 1564-0604

ISSN: 0042-9686

DOI: 10.2471/BLT.18.210211

Abstract:

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.

Source: Scopus

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

Authors: Braitstein, P., Ayuku, D., DeLong, A., Makori, D., Sang, E., Tarus, C., Kamanda, A., Shah, P., Apondi, E. and Wachira, J.

Journal: Bull World Health Organ

Volume: 97

Issue: 1

Pages: 33-41

eISSN: 1564-0604

DOI: 10.2471/BLT.18.210211

Abstract:

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.

Source: PubMed

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

Authors: Braitstein, P., Ayuku, D., DeLong, A., Makori, D., Sang, E., Tarus, C., Kamanda, A., Shah, P., Apondi, E. and Wachira, J.

Journal: BULLETIN OF THE WORLD HEALTH ORGANIZATION

Volume: 97

Issue: 1

Pages: 33-41

eISSN: 1564-0604

ISSN: 0042-9686

DOI: 10.2471/BLT.18.210211

Source: Web of Science (Lite)

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

Authors: Braitstein, P., Ayuku, D., DeLong, A., Makori, D., Sang, E., Tarus, C., Kamanda, A., Shah, P., Apondi, E. and Wachira, J.

Journal: Bulletin of the World Health Organization

Volume: 97

Issue: 1

Pages: 33-41

eISSN: 1564-0604

ISSN: 0042-9686

DOI: 10.2471/blt.18.210211

Abstract:

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.

Source: Europe PubMed Central