Health Promotion Department, Universidade Federal da Paraíba, Campus I, Jardim Universitário, S/N, 58051-900 Castelo Branco, João Pessoa-Paraíba State, Brazil; Health Sciences Postgraduate Program, Universidade Federal do Rio Grande do Norte, Natal, Brazil.
CIBER of Epidemiology and Public Health (CIBERESP), avenue Monforte-de-Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Andalusian Observatory on Environment and Health (OSMAN), Escuela Andaluza de Salud Pública, Cuesta del Observatorio 4, Campus Universitario de Cartuja, 18080 Granada, Spain.
Infect Dis Now. 2021 May;51(3):260-265. doi: 10.1016/j.medmal.2020.10.024. Epub 2020 Nov 2.
Identify risk factors for microcephaly and evaluate historical trends of microcephaly and arboviruses to recognize patterns and anomalies that indicate the beginning of the microcephaly epidemic associated with Zika infection.
The head circumferences of 62,298 newborns was analyzed to identify cases of microcephaly between 2014 and 2017. We compared the groups of newborns with normal head circumferences and those with microcephaly to identify risk factors. A time series with the incidences of microcephaly was analyzed to assess the appearance of anomalous values in order to identify the beginning of the microcephaly epidemic. Data on the incidence of dengue fever was used to develop a control chart, aiming to identify changes in incidence and seasonality that could suggest the circulation of a new arbovirus.
Premature newborns, children of mothers under 20 years of age and those born in 2014 and 2015 had a higher risk of microcephaly. Three quarters with anomalous incidences of microcephaly were identified, the first in 2014 and the others in 2015. The dengue fever epidemic curve in 2013 shows persistence of high incidences in atypical periods, suggesting the entry of a new virus in the 3rd and 4th quarters.
These findings represent epidemiological evidence of the existence of cases of Zika virus between the 2nd quarter of 2013 and the beginning of 2014. The results add new elements to understanding the Zika virus epidemic in the Americas.
确定小头畸形的风险因素,并评估小头畸形和虫媒病毒的历史趋势,以识别表明与寨卡病毒感染相关的小头畸形流行开始的模式和异常。
分析了 62298 名新生儿的头围,以确定 2014 年至 2017 年间小头畸形病例。我们比较了头围正常和小头畸形的新生儿组,以确定风险因素。分析了小头畸形发病率的时间序列,以评估异常值的出现,以确定小头畸形流行的开始。使用登革热发病率数据制定控制图,旨在识别发病率和季节性变化,这些变化可能表明新虫媒病毒的传播。
早产儿、母亲年龄在 20 岁以下的儿童以及 2014 年和 2015 年出生的儿童患小头畸形的风险较高。有四分之三的小头畸形发病率异常,第一次发生在 2014 年,其他几次发生在 2015 年。2013 年登革热流行曲线显示非典型时期的高发病率持续存在,表明第三和第四季度有新病毒进入。
这些发现代表了寨卡病毒存在于 2013 年第二季度至 2014 年初之间的流行病学证据。结果为理解美洲的寨卡病毒流行增加了新的元素。