Cargando…
Heterogeneity of HIV incidence: a comparative analysis between fishing communities and in a neighbouring rural general population, Uganda, and implications for HIV control
OBJECTIVES: To describe HIV heterogeneity in rural Uganda using incidence data collected between January 2012 and December 2014 among fishing cohort (FC) and in an adjacent rural general population cohort (GPC). METHODS: In the FC, eligible HIV high-risk adults aged 18+ years were enrolled, followed...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5013105/ https://www.ncbi.nlm.nih.gov/pubmed/26933046 http://dx.doi.org/10.1136/sextrans-2015-052179 |
_version_ | 1782452104041857024 |
---|---|
author | Kamali, A Nsubuga, R N Ruzagira, E Bahemuka, U Asiki, G Price, M A Newton, R Kaleebu, P Fast, P |
author_facet | Kamali, A Nsubuga, R N Ruzagira, E Bahemuka, U Asiki, G Price, M A Newton, R Kaleebu, P Fast, P |
author_sort | Kamali, A |
collection | PubMed |
description | OBJECTIVES: To describe HIV heterogeneity in rural Uganda using incidence data collected between January 2012 and December 2014 among fishing cohort (FC) and in an adjacent rural general population cohort (GPC). METHODS: In the FC, eligible HIV high-risk adults aged 18+ years were enrolled, followed and HIV tested every 3 months. Demographic and sexual behaviour data were also collected. The GPC, approximately 47 km away from the FC, was followed through annual surveys, and sociodemographic and behavioural data collected. A subset of GPC with comparable risk profiles to the FC was selected. We presented sociodemographic and risk profiles and also computed stratified HIV incidence. Cox regression was used to assess factors associated with HIV incidence. RESULTS: Overall HIV incidence was higher in the FC than in the ‘high-risk’ GPC, 6.04 and 0.56 per 100 person years at risk, respectively, with a rate ratio (RR) of 10.83 (95% CI 6.11 to 19.76). This was higher among those aged 18–24 years, unmarried and those with more than two sex partners in the past year, RR of 15.44, 22.99 and 19.29, respectively. In the FC, factors associated with high incidence in multivariate analysis were duration in the community and unprotected sex. The factors in the GPC were ethnicity, marital status and duration in the community. CONCLUSIONS: We have observed a substantial heterogeneity in HIV incidence. The high incidence in fishing communities is contributing greatly to the overall HIV burden in Uganda, and thus urgent combination prevention efforts are needed towards national goal to reduce HIV epidemic. |
format | Online Article Text |
id | pubmed-5013105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50131052016-09-12 Heterogeneity of HIV incidence: a comparative analysis between fishing communities and in a neighbouring rural general population, Uganda, and implications for HIV control Kamali, A Nsubuga, R N Ruzagira, E Bahemuka, U Asiki, G Price, M A Newton, R Kaleebu, P Fast, P Sex Transm Infect Epidemiology OBJECTIVES: To describe HIV heterogeneity in rural Uganda using incidence data collected between January 2012 and December 2014 among fishing cohort (FC) and in an adjacent rural general population cohort (GPC). METHODS: In the FC, eligible HIV high-risk adults aged 18+ years were enrolled, followed and HIV tested every 3 months. Demographic and sexual behaviour data were also collected. The GPC, approximately 47 km away from the FC, was followed through annual surveys, and sociodemographic and behavioural data collected. A subset of GPC with comparable risk profiles to the FC was selected. We presented sociodemographic and risk profiles and also computed stratified HIV incidence. Cox regression was used to assess factors associated with HIV incidence. RESULTS: Overall HIV incidence was higher in the FC than in the ‘high-risk’ GPC, 6.04 and 0.56 per 100 person years at risk, respectively, with a rate ratio (RR) of 10.83 (95% CI 6.11 to 19.76). This was higher among those aged 18–24 years, unmarried and those with more than two sex partners in the past year, RR of 15.44, 22.99 and 19.29, respectively. In the FC, factors associated with high incidence in multivariate analysis were duration in the community and unprotected sex. The factors in the GPC were ethnicity, marital status and duration in the community. CONCLUSIONS: We have observed a substantial heterogeneity in HIV incidence. The high incidence in fishing communities is contributing greatly to the overall HIV burden in Uganda, and thus urgent combination prevention efforts are needed towards national goal to reduce HIV epidemic. BMJ Publishing Group 2016-09 2016-03-01 /pmc/articles/PMC5013105/ /pubmed/26933046 http://dx.doi.org/10.1136/sextrans-2015-052179 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Epidemiology Kamali, A Nsubuga, R N Ruzagira, E Bahemuka, U Asiki, G Price, M A Newton, R Kaleebu, P Fast, P Heterogeneity of HIV incidence: a comparative analysis between fishing communities and in a neighbouring rural general population, Uganda, and implications for HIV control |
title | Heterogeneity of HIV incidence: a comparative analysis between fishing communities and in a neighbouring rural general population, Uganda, and implications for HIV control |
title_full | Heterogeneity of HIV incidence: a comparative analysis between fishing communities and in a neighbouring rural general population, Uganda, and implications for HIV control |
title_fullStr | Heterogeneity of HIV incidence: a comparative analysis between fishing communities and in a neighbouring rural general population, Uganda, and implications for HIV control |
title_full_unstemmed | Heterogeneity of HIV incidence: a comparative analysis between fishing communities and in a neighbouring rural general population, Uganda, and implications for HIV control |
title_short | Heterogeneity of HIV incidence: a comparative analysis between fishing communities and in a neighbouring rural general population, Uganda, and implications for HIV control |
title_sort | heterogeneity of hiv incidence: a comparative analysis between fishing communities and in a neighbouring rural general population, uganda, and implications for hiv control |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5013105/ https://www.ncbi.nlm.nih.gov/pubmed/26933046 http://dx.doi.org/10.1136/sextrans-2015-052179 |
work_keys_str_mv | AT kamalia heterogeneityofhivincidenceacomparativeanalysisbetweenfishingcommunitiesandinaneighbouringruralgeneralpopulationugandaandimplicationsforhivcontrol AT nsubugarn heterogeneityofhivincidenceacomparativeanalysisbetweenfishingcommunitiesandinaneighbouringruralgeneralpopulationugandaandimplicationsforhivcontrol AT ruzagirae heterogeneityofhivincidenceacomparativeanalysisbetweenfishingcommunitiesandinaneighbouringruralgeneralpopulationugandaandimplicationsforhivcontrol AT bahemukau heterogeneityofhivincidenceacomparativeanalysisbetweenfishingcommunitiesandinaneighbouringruralgeneralpopulationugandaandimplicationsforhivcontrol AT asikig heterogeneityofhivincidenceacomparativeanalysisbetweenfishingcommunitiesandinaneighbouringruralgeneralpopulationugandaandimplicationsforhivcontrol AT pricema heterogeneityofhivincidenceacomparativeanalysisbetweenfishingcommunitiesandinaneighbouringruralgeneralpopulationugandaandimplicationsforhivcontrol AT newtonr heterogeneityofhivincidenceacomparativeanalysisbetweenfishingcommunitiesandinaneighbouringruralgeneralpopulationugandaandimplicationsforhivcontrol AT kaleebup heterogeneityofhivincidenceacomparativeanalysisbetweenfishingcommunitiesandinaneighbouringruralgeneralpopulationugandaandimplicationsforhivcontrol AT fastp heterogeneityofhivincidenceacomparativeanalysisbetweenfishingcommunitiesandinaneighbouringruralgeneralpopulationugandaandimplicationsforhivcontrol |