Kharsany Ayesha B M, Cawood Cherie, Khanyile David, Grobler Anneke, Mckinnon Lyle R, Samsunder Natasha, Frohlich Janet A, Abdool Karim Quarraisha, Puren Adrian, Welte Alex, George Gavin, Govender Kaymarlin, Toledo Carlos, Chipeta Zawadi, Zembe Lycias, Glenshaw Mary T, Madurai Lorna, Deyde Varough M, Bere Alfred
Centre for the AIDS Programme of Research in South Africa (CAPRISA), Doris Duke Medical Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, 2nd Floor, Private Bag 7, Congella, 4013, Durban, South Africa.
Epicentre AIDs Risk Management (Pty) Limited, P O Box 3484, Paarl, 7620, Cape Town, South Africa.
BMC Public Health. 2015 Nov 20;15:1149. doi: 10.1186/s12889-015-2179-2.
South Africa has over 6,000,000 HIV infected individuals and the province of KwaZulu-Natal (KZN) is the most severely affected. As public health initiatives to better control the HIV epidemic are implemented, timely, detailed and robust surveillance data are needed to monitor, evaluate and inform the programmatic interventions and policies over time. We describe the rationale and design of the HIV Incidence Provincial Surveillance System (HIPSS) to monitor HIV prevalence and incidence.
METHODS/DESIGN: The household-based survey will include a sample of men and women from two sub-districts of the uMgungundlovu municipality (Vulindlela and the Greater Edendale) of KZN, South Africa. The study is designed as two sequential cross-sectional surveys of 10,000 randomly selected individuals aged 15-49 years to be conducted one year apart. From the cross sectional surveys, two sequential cohorts of HIV negative individuals aged 15-35 years will be followed-up one year later to measure the primary outcome of HIV incidence. Secondary outcomes include the laboratory measurements for pulmonary tuberculosis, sexually transmitted infections and evaluating tests for estimating population-level HIV incidence. Antiretroviral therapy (ART) access, HIV-1 RNA viral load, and CD4 cell counts in HIV positive individuals will assess the effectiveness of the HIV treatment cascade. Household and individual-level socio-demographic characteristics, exposure to HIV programmatic interventions and risk behaviours will be assessed as predictors of HIV incidence. The incidence rate ratio of the two cohorts will be calculated to quantify the change in HIV incidence between consecutive samples. In anticipation of better availability of population-level HIV prevention and treatment programmes leading to decreases in HIV incidence, the sample size provides 84% power to detect a reduction of 30% in the HIV incidence rate between surveys.
The results from HIPSS will provide critical data regarding HIV prevalence and incidence in this community and will establish whether HIV prevention and treatment efforts in a "real world", non-trial setting have an impact on HIV incidence at a population level. Importantly, the study design and methods will inform future methods for HIV surveillance.
南非有超过600万艾滋病毒感染者,夸祖鲁 - 纳塔尔省(KZN)受影响最为严重。随着旨在更好地控制艾滋病毒流行的公共卫生举措的实施,需要及时、详细且可靠的监测数据来长期监测、评估并为规划性干预措施和政策提供信息。我们描述了艾滋病毒发病率省级监测系统(HIPSS)监测艾滋病毒流行率和发病率的基本原理与设计。
方法/设计:基于家庭的调查将纳入南非夸祖鲁 - 纳塔尔省乌姆贡古德洛武市(Vulindlela和大伊登代尔)两个分区的男性和女性样本。该研究设计为对10000名年龄在15 - 49岁之间的随机选择个体进行的两个连续横断面调查,调查间隔为一年。从横断面调查中,两个连续队列的15 - 35岁艾滋病毒阴性个体将在一年后进行随访,以测量艾滋病毒发病率这一主要结局。次要结局包括肺结核、性传播感染的实验室检测以及评估用于估计人群水平艾滋病毒发病率的检测。艾滋病毒阳性个体的抗逆转录病毒疗法(ART)获取情况、HIV - 1 RNA病毒载量和CD4细胞计数将评估艾滋病毒治疗级联的有效性。家庭和个体层面的社会人口特征、接触艾滋病毒规划性干预措施情况以及风险行为将作为艾滋病毒发病率的预测因素进行评估。将计算两个队列的发病率比,以量化连续样本之间艾滋病毒发病率的变化。鉴于预计人群层面的艾滋病毒预防和治疗方案可用性提高会导致艾滋病毒发病率下降,样本量提供了84%的把握度来检测两次调查之间艾滋病毒发病率降低30%的情况。
HIPSS的结果将提供有关该社区艾滋病毒流行率和发病率的关键数据,并将确定在“现实世界”、非试验环境中的艾滋病毒预防和治疗努力是否会对人群层面的艾滋病毒发病率产生影响。重要的是,研究设计和方法将为未来的艾滋病毒监测方法提供信息。