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

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Standard

Real-time dispersal of malaria vectors in rural Africa monitored with lidar. / Jansson, Samuel; Malmqvist, Elin; Mlacha, Yeromin; Ignell, Rickard; Okumu, Fredros; Killeen, Gerry; Kirkeby, Carsten; Brydegaard, Mikkel.

I: PLoS ONE, Bind 16, Nr. 3 March, e0247803, 2021.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Jansson, S, Malmqvist, E, Mlacha, Y, Ignell, R, Okumu, F, Killeen, G, Kirkeby, C & Brydegaard, M 2021, 'Real-time dispersal of malaria vectors in rural Africa monitored with lidar', PLoS ONE, bind 16, nr. 3 March, e0247803. https://doi.org/10.1371/journal.pone.0247803

APA

Jansson, S., Malmqvist, E., Mlacha, Y., Ignell, R., Okumu, F., Killeen, G., Kirkeby, C., & Brydegaard, M. (2021). Real-time dispersal of malaria vectors in rural Africa monitored with lidar. PLoS ONE, 16(3 March), [e0247803]. https://doi.org/10.1371/journal.pone.0247803

Vancouver

Jansson S, Malmqvist E, Mlacha Y, Ignell R, Okumu F, Killeen G o.a. Real-time dispersal of malaria vectors in rural Africa monitored with lidar. PLoS ONE. 2021;16(3 March). e0247803. https://doi.org/10.1371/journal.pone.0247803

Author

Jansson, Samuel ; Malmqvist, Elin ; Mlacha, Yeromin ; Ignell, Rickard ; Okumu, Fredros ; Killeen, Gerry ; Kirkeby, Carsten ; Brydegaard, Mikkel. / Real-time dispersal of malaria vectors in rural Africa monitored with lidar. I: PLoS ONE. 2021 ; Bind 16, Nr. 3 March.

Bibtex

@article{cd52962deef74e8cb82f694da59d0258,
title = "Real-time dispersal of malaria vectors in rural Africa monitored with lidar",
abstract = "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.",
author = "Samuel Jansson and Elin Malmqvist and Yeromin Mlacha and Rickard Ignell and Fredros Okumu and Gerry Killeen and Carsten Kirkeby and Mikkel Brydegaard",
year = "2021",
doi = "10.1371/journal.pone.0247803",
language = "English",
volume = "16",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "3 March",

}

RIS

TY - JOUR

T1 - Real-time dispersal of malaria vectors in rural Africa monitored with lidar

AU - Jansson, Samuel

AU - Malmqvist, Elin

AU - Mlacha, Yeromin

AU - Ignell, Rickard

AU - Okumu, Fredros

AU - Killeen, Gerry

AU - Kirkeby, Carsten

AU - Brydegaard, Mikkel

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

U2 - 10.1371/journal.pone.0247803

DO - 10.1371/journal.pone.0247803

M3 - Journal article

C2 - 33662005

AN - SCOPUS:85102497839

VL - 16

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 3 March

M1 - e0247803

ER -

ID: 258900287