Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, Netherlands.
School of Public Health and Family Medicine, College of Medicine, University of Malawi, Blantyre 3, Malawi.
Parasit Vectors. 2018 Mar 5;11(1):129. doi: 10.1186/s13071-018-2730-y.
Spatio-temporal variations in malaria burden are currently complex and costly to measure, but are important for decision-making. We measured the spatio-temporal variation of clinical malaria incidence at a fine scale in a cohort of children under five in an endemic area in rural Chikhwawa, Malawi, determined associated factors, and monitored adult mosquito abundance.
We followed-up 285 children aged 6-48 months with recorded geolocations, who were sampled in a rolling malaria indicator survey, for one year (2015-2016). Guardians were requested to take the children to a nearby health facility whenever ill, where health facility personnel were trained to record malaria test results and temperature on the child's sick-visit card; artemisinin-based combination therapy was provided if indicated. The cards were collected and replaced 2-monthly. Adult mosquitoes were collected from 2-monthly household surveys using a Suna trap. The head/thorax of adult Anopheles females were tested for presence of Plasmodium DNA. Binomial logistic regression and geospatial modelling were performed to determine predictors of and to spatially predict clinical malaria incidence, respectively.
Two hundred eighty two children, with complete results, and 267.8 child-years follow-up time were included in the analysis. The incidence rate of clinical malaria was 1.2 cases per child-year at risk; 57.1% of the children had at least one clinical malaria case during follow-up. Geographical groups of households where children experienced repeated malaria infections overlapped with high mosquito densities and high entomological inoculation rate locations.
Repeated malaria infections within household groups account for the majority of cases and signify uneven distribution of malaria risk within a small geographical area.
疟疾负担的时空变化目前难以衡量且代价高昂,但对于决策制定而言非常重要。我们在马拉维农村奇克瓦瓦的一个流行地区,对一个五岁以下儿童队列进行了一项精细尺度的临床疟疾发病率的时空变化测量,确定了相关因素,并监测了成年蚊虫的数量。
我们对 285 名年龄在 6-48 个月之间、有记录地理位置的儿童进行了为期一年(2015-2016 年)的滚动疟疾指标监测。监护人被要求在孩子生病时带他们去附近的医疗机构,那里的医务人员接受过培训,可以在孩子就诊卡上记录疟疾检测结果和体温;如果需要,会提供青蒿素为基础的联合疗法。卡片每两个月收集和更换一次。使用 Suna 陷阱从每月的家庭调查中收集成年蚊子。测试成年雌性按蚊的头部/胸部,以确定是否存在疟原虫 DNA。使用二项逻辑回归和地理空间建模分别确定临床疟疾发病率的预测因素和进行空间预测。
有 282 名儿童完成了全部结果,有 267.8 个儿童年随访时间纳入分析。临床疟疾的发病率为每儿童年 1.2 例;57.1%的儿童在随访期间至少有一例临床疟疾病例。儿童反复感染疟疾的家庭地理群体与高蚊虫密度和高昆虫接种率的地区重叠。
家庭群体中反复发生的疟疾感染占大多数病例,表明疟疾风险在小地理区域内分布不均。