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Malaria hotspots explained from the perspective of ecological theory underlying insect foraging

Malaria hotspots explained from the perspective of ecological theory underlying insect foraging

Debebe, Yared, Hill, Sharon Rose, Tekie, Habte, Dugassa, Sisay, Hopkins, Richard J. ORCID: 0000-0003-4935-5825 and Ignell, Rickard (2020) Malaria hotspots explained from the perspective of ecological theory underlying insect foraging. Scientific Reports, 10:21449. ISSN 2045-2322 (Online) (doi:https://doi.org/10.1038/s41598-020-78021-x)

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: malaria, mosquito, Ethiopia
Subjects: S Agriculture > S Agriculture (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Agriculture, Health & Environment Department
Faculty of Engineering & Science > Natural Resources Institute > Pest Behaviour Research Group
Last Modified: 09 Dec 2020 18:15
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/30453

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