Individual and Population Level Impact of Key HIV Risk Factors on HIV Incidence Rates in Durban, South Africa.
We aimed to estimate the individual and joint impact of age, marital status and diagnosis with sexually transmitted infections (STIs) on HIV acquisition among young women at a population level in Durban, KwaZulu-Natal, South Africa. A total of 3,978 HIV seronegative women were recruited for four bio...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2016-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4841582?pdf=render |
id |
doaj-3992ff688bd44649ab184370bc344d10 |
---|---|
record_format |
Article |
spelling |
doaj-3992ff688bd44649ab184370bc344d102020-11-25T01:55:53ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01114e015396910.1371/journal.pone.0153969Individual and Population Level Impact of Key HIV Risk Factors on HIV Incidence Rates in Durban, South Africa.Gita RamjeeSuri MoonsamyNathlee Samantha AbbaiHandan WandWe aimed to estimate the individual and joint impact of age, marital status and diagnosis with sexually transmitted infections (STIs) on HIV acquisition among young women at a population level in Durban, KwaZulu-Natal, South Africa. A total of 3,978 HIV seronegative women were recruited for four biomedical intervention trials from 2002-2009. Point and interval estimates of partial population attributable risk (PAR) were used to quantify the proportion of HIV seroconversions which can be prevented if a combination of risk factors is eliminated from a target population. More than 70% of the observed HIV acquisitions were collectively attributed to the three risk factors: younger age (<25 years old), unmarried and not cohabiting with a stable/regular partner and diagnosis with STIs. Addressing these risks requires targeted structural, behavioural, biomedical and cultural interventions in order to impact on unacceptably high HIV incidence rates among young women and the population as a whole.http://europepmc.org/articles/PMC4841582?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gita Ramjee Suri Moonsamy Nathlee Samantha Abbai Handan Wand |
spellingShingle |
Gita Ramjee Suri Moonsamy Nathlee Samantha Abbai Handan Wand Individual and Population Level Impact of Key HIV Risk Factors on HIV Incidence Rates in Durban, South Africa. PLoS ONE |
author_facet |
Gita Ramjee Suri Moonsamy Nathlee Samantha Abbai Handan Wand |
author_sort |
Gita Ramjee |
title |
Individual and Population Level Impact of Key HIV Risk Factors on HIV Incidence Rates in Durban, South Africa. |
title_short |
Individual and Population Level Impact of Key HIV Risk Factors on HIV Incidence Rates in Durban, South Africa. |
title_full |
Individual and Population Level Impact of Key HIV Risk Factors on HIV Incidence Rates in Durban, South Africa. |
title_fullStr |
Individual and Population Level Impact of Key HIV Risk Factors on HIV Incidence Rates in Durban, South Africa. |
title_full_unstemmed |
Individual and Population Level Impact of Key HIV Risk Factors on HIV Incidence Rates in Durban, South Africa. |
title_sort |
individual and population level impact of key hiv risk factors on hiv incidence rates in durban, south africa. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2016-01-01 |
description |
We aimed to estimate the individual and joint impact of age, marital status and diagnosis with sexually transmitted infections (STIs) on HIV acquisition among young women at a population level in Durban, KwaZulu-Natal, South Africa. A total of 3,978 HIV seronegative women were recruited for four biomedical intervention trials from 2002-2009. Point and interval estimates of partial population attributable risk (PAR) were used to quantify the proportion of HIV seroconversions which can be prevented if a combination of risk factors is eliminated from a target population. More than 70% of the observed HIV acquisitions were collectively attributed to the three risk factors: younger age (<25 years old), unmarried and not cohabiting with a stable/regular partner and diagnosis with STIs. Addressing these risks requires targeted structural, behavioural, biomedical and cultural interventions in order to impact on unacceptably high HIV incidence rates among young women and the population as a whole. |
url |
http://europepmc.org/articles/PMC4841582?pdf=render |
work_keys_str_mv |
AT gitaramjee individualandpopulationlevelimpactofkeyhivriskfactorsonhivincidenceratesindurbansouthafrica AT surimoonsamy individualandpopulationlevelimpactofkeyhivriskfactorsonhivincidenceratesindurbansouthafrica AT nathleesamanthaabbai individualandpopulationlevelimpactofkeyhivriskfactorsonhivincidenceratesindurbansouthafrica AT handanwand individualandpopulationlevelimpactofkeyhivriskfactorsonhivincidenceratesindurbansouthafrica |
_version_ |
1724982743026106368 |