Department of Zoological Sciences, Addis Ababa University, PO. Box 1176, Addis Ababa, Ethiopia.
Unit of Chemical Ecology, Department of Plant Protection Biology, Swedish University of Agricultural Sciences, Alnarp, Sweden.
Sci Rep. 2020 Dec 8;10(1):21449. doi: 10.1038/s41598-020-78021-x.
Hotspots constitute the major reservoir for residual malaria transmission, with higher malaria incidence than neighbouring areas, and therefore, have the potential to form the cornerstone for successful intervention strategies. Detection of malaria hotspots is hampered by their heterogenous spatial distribution, and the laborious nature and low sensitivity of the current methods used to assess transmission intensity. We adopt ecological theory underlying foraging in herbivorous insects to vector mosquito host seeking and modelling of fine-scale landscape features at the village level. The overall effect of environmental variables on the density of indoor mosquitoes, sporozoite infected mosquitoes, and malaria incidence, was determined using generalized linear models. Spatial analyses were used to identify hotspots for malaria incidence, as well as malaria vector density and associated sporozoite prevalence. We identify household occupancy and location as the main predictors of vector density, entomological inoculation rate and malaria incidence. We propose that the use of conventional vector control and malaria interventions, integrated with their intensified application targeting predicted hotspots, can be used to reduce malaria incidence in endemic and residual malaria settings.
热点是残留疟疾传播的主要储存库,其疟疾发病率高于周边地区,因此有可能成为成功干预策略的基石。疟疾热点的检测受到其异质空间分布以及当前用于评估传播强度的方法的费力性质和低灵敏度的阻碍。我们采用食草昆虫觅食的生态理论,对媒介蚊的宿主寻找和村庄层面的精细景观特征进行建模。使用广义线性模型确定环境变量对室内蚊子密度、感染孢子的蚊子密度和疟疾发病率的总体影响。使用空间分析来确定疟疾发病率、疟疾媒介密度和相关孢子虫患病率的热点地区。我们确定家庭居住和位置是蚊密度、昆虫接种率和疟疾发病率的主要预测因素。我们提出,常规的蚊虫控制和疟疾干预措施的使用,结合针对预测热点的强化应用,可以用于减少流行地区和残留疟疾地区的疟疾发病率。