E Gouws1, P J White, J Stover, T Brown. 1. Department of Policy, Evidence and Partnership, Joint United Nations Programme on HIV/AIDS, UNAIDS, Geneva, Switzerland. Gouwse@unaids.org
Abstract
OBJECTIVE: Patterns of transmission of HIV are different among different regions of the world and change over time within regions. In order to adapt prevention strategies to changing patterns of risk, we need to understand the behaviours that put people at risk of infection and how new infections are distributed among risk groups. METHODS: A model is described to calculate the expected incidence of HIV infections in the adult population by mode of exposure using the current distribution of prevalent infections and the patterns of risk within different populations. For illustration the model is applied to Thailand and Kenya. RESULTS: New infections in Kenya were mainly transmitted through heterosexual contact (90%), while a small but significant number were related to injecting drug use (4.8%) and men who have sex with men (4.5%). In Thailand, the epidemic has spread over time to the sexual partners of vulnerable groups and in 2005 the majority of new infections occurred among the low risk heterosexual population (43%). Men having sex with men accounted for 21% and sex work (including sex workers, clients, and partners of clients) for 18% of new infections. Medical interventions did not contribute significantly to new infections in either Kenya or Thailand. CONCLUSIONS: The model provides a simple tool to inform the planning of effective, appropriately targeted, country specific intervention programmes. However, better surveillance systems are needed in countries to obtain more reliable biological and behavioural data in order to improve the estimates of incidence by risk group.
OBJECTIVE: Patterns of transmission of HIV are different among different regions of the world and change over time within regions. In order to adapt prevention strategies to changing patterns of risk, we need to understand the behaviours that put people at risk of infection and how new infections are distributed among risk groups. METHODS: A model is described to calculate the expected incidence of HIV infections in the adult population by mode of exposure using the current distribution of prevalent infections and the patterns of risk within different populations. For illustration the model is applied to Thailand and Kenya. RESULTS: New infections in Kenya were mainly transmitted through heterosexual contact (90%), while a small but significant number were related to injecting drug use (4.8%) and men who have sex with men (4.5%). In Thailand, the epidemic has spread over time to the sexual partners of vulnerable groups and in 2005 the majority of new infections occurred among the low risk heterosexual population (43%). Men having sex with men accounted for 21% and sex work (including sex workers, clients, and partners of clients) for 18% of new infections. Medical interventions did not contribute significantly to new infections in either Kenya or Thailand. CONCLUSIONS: The model provides a simple tool to inform the planning of effective, appropriately targeted, country specific intervention programmes. However, better surveillance systems are needed in countries to obtain more reliable biological and behavioural data in order to improve the estimates of incidence by risk group.
Authors: M P Hawken; R D J Melis; D T Ngombo; K Mandaliya; L W Ng'ang'a; J Price; G Dallabetta; M Temmerman Journal: Sex Transm Infect Date: 2002-08 Impact factor: 3.519
Authors: T E Guadamuz; K McCarthy; W Wimonsate; W Thienkrua; A Varangrat; S Chaikummao; A Sangiamkittikul; R D Stall; F van Griensven Journal: AIDS Behav Date: 2014-11
Authors: Timothy D Mastro; Andrea A Kim; Timothy Hallett; Thomas Rehle; Alex Welte; Oliver Laeyendecker; Tom Oluoch; Jesus M Garcia-Calleja Journal: J HIV AIDS Surveill Epidemiol Date: 2010-01-01
Authors: Kelsey K Case; Peter D Ghys; Eleanor Gouws; Jeffrey W Eaton; Annick Borquez; John Stover; Paloma Cuchi; Laith J Abu-Raddad; Geoffrey P Garnett; Timothy B Hallett Journal: Bull World Health Organ Date: 2012-09-14 Impact factor: 9.408