Real-time dispersal of malaria vectors in rural Africa monitored with lidar

Lack of tools for detailed, real-time observation of mosquito behavior with high spatio-temporal resolution limits progress towards improved malaria vector control. We deployed a high-resolution entomological lidar to monitor a half-kilometer static transect positioned over rice fields outside a Tan...

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Bibliographic Details
Published in:PloS one 2021-03, Vol.16 (3), p.e0247803
Main Authors: Jansson, Samuel, Malmqvist, Elin, Mlacha, Yeromin, Ignell, Rickard, Okumu, Fredros, Killeen, Gerry, Kirkeby, Carsten, Brydegaard, Mikkel
Format: Article
Language:English
Subjects:
Agricultural sciences
Animal health
Backscattering
Biodiversity
Biologi
Biological Sciences
Biology
Biology and Life Sciences
Control
Culicidae
Data analysis
Dispersal
Distribution
Ecology and Environmental Sciences
Economic development
Editing
Engineering and Technology
Environmental health
Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi
Health Sciences
Hälsovetenskap
Insecticide resistance
Insecticides
Insects
Insects as carriers of disease
Landscape
Laser beams
Lasers
Lidar
Light
Malaria
Medical and Health Sciences
Medical research
Medicin och hälsovetenskap
Medicine
Medicine and Health Sciences
Methodology
Methods
Mosquitoes
Natural Sciences
Naturvetenskap
Neoprene
Optical radar
Parasites
Physics
Plant protection
Public health
Public Health, Global Health, Social Medicine and Epidemiology
Remote sensing
Reviews
Rural health
Sensors
Telescopes
Time measurement
Tropical diseases
Vector-borne diseases
Vectors
Visualization
Zoologi
Zoology
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Description
Summary:Lack of tools for detailed, real-time observation of mosquito behavior with high spatio-temporal resolution limits progress towards improved malaria vector control. We deployed a high-resolution entomological lidar to monitor a half-kilometer static transect positioned over rice fields outside a Tanzanian village. A quarter of a million in situ insect observations were classified, and several insect taxa were identified based on their modulation signatures. We observed distinct range distributions of male and female mosquitoes in relation to the village periphery, and spatio-temporal behavioral features, such as swarming. Furthermore, we observed that the spatial distributions of males and females change independently of each other during the day, and were able to estimate the daily dispersal of mosquitoes towards and away from the village. The findings of this study demonstrate how lidar-based monitoring could dramatically improve our understanding of malaria vector ecology and control options.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0247803