Universidade Federal da Paraíba. Departamento de Biologia Molecular, João Pessoa, PB, Brazil; Universidade Federal de Pernambuco, Departamento de Genética, Recife, PE, Brazil.
Universidade Federal da Paraíba. Departamento de Estatística, João Pessoa, PB, Brazil.
Braz J Infect Dis. 2019 Jul-Aug;23(4):218-223. doi: 10.1016/j.bjid.2019.06.012. Epub 2019 Jul 22.
HIV-1 mother-to-child transmission (HIV-1 MTCT), is an important cause of children mortality worldwide. Brazil has been traditionally praised by its HIV/Aids program, which provides free-of-charge care for people living with HIV-1. Using public epidemiology and demographic databases, we aimed at modeling HIV-1 MTCT prevalence in Brazil through the years (1994-2016) and elaborate a statistical model for forecasting, contributing to HIV-1 epidemiologic surveillance and healthcare decision-making. We downloaded sets of live births and mothers' data alongside HIV-1 cases notification in children one year old or less. Through time series modeling, we estimated prevalence along the years in Brazil, and observed a remarkable decrease of HIV-1 MTCT between 1994 (10 cases per 100,000 live births) and 2016 (five cases per 100,000 live births), a reduction of 50%. Using our model, we elaborated a prognosis for each Brazilian state to help HIV-1 surveillance decision making, indicating which states are in theory in risk of experiencing a rise in HIV-1 MTCT prevalence. Ten states had good (37%), nine had mild (33%), and eight had poor prognostics (30%). Stratifying the prognostics by Brazilian region, we observed that the Northeast region had more states with poor prognosis, followed by North and Midwest, Southeast and South with one state of poor prognosis each. Brazil undoubtedly advanced in the fight against HIV-1 MTCT in the past two decades. We hope our model will help indicating where HIV-1 MTCT prevalence may rise in the future and support government decision makers regarding HIV-1 surveillance and prevention.
艾滋病毒-1 母婴传播(HIV-1 MTCT)是全球儿童死亡的一个重要原因。巴西的艾滋病毒/艾滋病规划一直受到赞誉,该规划为艾滋病毒-1 感染者提供免费护理。利用公共流行病学和人口统计数据库,我们旨在通过多年(1994-2016 年)对巴西的 HIV-1 MTCT 流行率进行建模,并建立一个统计模型进行预测,为 HIV-1 流行病学监测和医疗保健决策提供帮助。我们下载了 1 岁及以下儿童活产儿和母亲的数据以及 HIV-1 病例通知。通过时间序列建模,我们估计了巴西历年的流行率,观察到 1994 年(每 10 万活产儿 10 例)和 2016 年(每 10 万活产儿 5 例)之间 HIV-1 MTCT 显著下降,减少了 50%。我们使用该模型为每个巴西州制定了预测,以帮助 HIV-1 监测决策,表明哪些州理论上有 HIV-1 MTCT 流行率上升的风险。10 个州的预测结果较好(37%),9 个州的预测结果轻度较差(33%),8 个州的预测结果较差(30%)。按巴西地区对预测进行分层,我们发现东北部地区有更多州的预测结果较差,其次是北部和中西部地区,东南部和南部地区各有一个州的预测结果较差。巴西在过去二十年中无疑在抗击 HIV-1 MTCT 方面取得了进展。我们希望我们的模型将有助于指示未来 HIV-1 MTCT 流行率可能上升的地区,并为政府决策者提供 HIV-1 监测和预防方面的支持。