title: Projecting dynamic trends for HIV/AIDS in a highly endemic area of China: estimation models for Liangshan Prefecture, Sichuan Province.
abstract: This study describes the current situation and projects dynamic trends for HIV prevalence in a highly endemic area of China, Liangshan Prefecture, Sichuan Province. Epidemiological, behavioral, and population census data from multiple sources were analyzed to extract input for an Asian Epidemic Model (AEM). Fitting curves to historical trends in HIV prevalence were used as a baseline, and future intervention scenarios were explored using the AEM. For 2007, modeled data suggested approximately 0.5% adult HIV prevalence in Liangshan, with an estimated 17,450 people living with HIV/AIDS and 3,400 new infections. With current high risk behaviors, the model predicts that adult prevalence will rise to 1.5% by 2020. Increased condom use and clean needle exchange among injection drug users (IDUs) have slowed the epidemic. The source of new HIV infections will change from a preponderance of IDU-related infections in 2007 (65.9%) to a mixed epidemic in 2020 (general population heterosexuals 45.2%, IDU 38.6%, homosexual transmission between men 12.7%, female sex workers and their clients 3.5%). We anticipate rising prevalence, stable incidence, and higher representation of sexual transmission over time. Prevention investments should target specific interventions toward sub-groups at highest risk, given that both IDUs and men who have sex with men will likely represent a majority of cases and serve as a bridge population.
authors: Department of Epidemiology, West China School of Public Health, Sichuan University, Chengdu, Sichuan 610041, P.R. China. liulir@163.com
authors: Li
authors: L
authors: Liu
authors: Rongsheng
authors: R
authors: Luan
authors: Wen
authors: W
authors: Yang
authors: Linglin
authors: L
authors: Zhang
authors: Jianhua
authors: J
authors: Zhang
authors: Lei
authors: L
authors: Nan
authors: Jun
authors: J
authors: Huang
authors: Ying
authors: Y
authors: Hu
authors: Guangyu
authors: G
authors: Mao
authors: Liao
authors: L
authors: Feng
authors: Yuhan
authors: Y
authors: Gong
authors: Sten H
authors: SH
authors: Vermund
authors: Yujiang
authors: Y
authors: Jia
mesh_terms: D000328:Adult; D002681:China / Q000453:epidemiology; D019353:Endemic Diseases / Q000517:prevention & control*; D005260:Female; D015658:HIV Infections / Q000453:epidemiology* / Q000517:prevention & control; D006801:Humans; D008297:Male; D015233:Models, Statistical; D015995:Prevalence; D012307:Risk Factors