Lidar reveals activity anomaly of malaria vectors during pan-African eclipse
(2020) In Science Advances 6(20).- Abstract
Yearly, a quarter billion people are infected and a half a million killed by the mosquito-borne disease malaria. Lack of real-time observational tools for continuously assessing the unperturbed mosquito flight activity in situ limits progress toward improved vector control. We deployed a high-resolution entomological lidar to monitor a half-kilometer static transect adjacent to a Tanzanian village. We evaluated one-third million insect observations during five nights, four days, and one annular solar eclipse. We demonstrate in situ lidar classification of several insect families and their sexes based on their modulation signatures. We were able to compare the fine-scale spatiotemporal activity patterns of malaria vectors during ordinary... (More)
Yearly, a quarter billion people are infected and a half a million killed by the mosquito-borne disease malaria. Lack of real-time observational tools for continuously assessing the unperturbed mosquito flight activity in situ limits progress toward improved vector control. We deployed a high-resolution entomological lidar to monitor a half-kilometer static transect adjacent to a Tanzanian village. We evaluated one-third million insect observations during five nights, four days, and one annular solar eclipse. We demonstrate in situ lidar classification of several insect families and their sexes based on their modulation signatures. We were able to compare the fine-scale spatiotemporal activity patterns of malaria vectors during ordinary days and an eclipse to disentangle phototactic activity patterns from the circadian mechanism. We observed an increased insect activity during the eclipse attributable to mosquitoes. These unprecedented findings demonstrate how lidar-based monitoring of distinct mosquito activities could advance our understanding of vector ecology.
(Less)
- author
- Brydegaard, Mikkel LU ; Jansson, Samuel LU ; Malmqvist, Elin LU ; Mlacha, Yeromin P. ; Gebru, Alem ; Okumu, Fredros ; Killeen, Gerry F. and Kirkeby, Carsten
- organization
- publishing date
- 2020-05-13
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Science Advances
- volume
- 6
- issue
- 20
- article number
- eaay5487
- publisher
- American Association for the Advancement of Science (AAAS)
- external identifiers
-
- pmid:32426490
- scopus:85084787771
- ISSN
- 2375-2548
- DOI
- 10.1126/sciadv.aay5487
- language
- English
- LU publication?
- yes
- id
- 170e603d-9cff-47ca-a465-98c1d53d18a1
- date added to LUP
- 2020-06-17 14:52:43
- date last changed
- 2024-07-24 20:11:28
@article{170e603d-9cff-47ca-a465-98c1d53d18a1, abstract = {{<p>Yearly, a quarter billion people are infected and a half a million killed by the mosquito-borne disease malaria. Lack of real-time observational tools for continuously assessing the unperturbed mosquito flight activity in situ limits progress toward improved vector control. We deployed a high-resolution entomological lidar to monitor a half-kilometer static transect adjacent to a Tanzanian village. We evaluated one-third million insect observations during five nights, four days, and one annular solar eclipse. We demonstrate in situ lidar classification of several insect families and their sexes based on their modulation signatures. We were able to compare the fine-scale spatiotemporal activity patterns of malaria vectors during ordinary days and an eclipse to disentangle phototactic activity patterns from the circadian mechanism. We observed an increased insect activity during the eclipse attributable to mosquitoes. These unprecedented findings demonstrate how lidar-based monitoring of distinct mosquito activities could advance our understanding of vector ecology.</p>}}, author = {{Brydegaard, Mikkel and Jansson, Samuel and Malmqvist, Elin and Mlacha, Yeromin P. and Gebru, Alem and Okumu, Fredros and Killeen, Gerry F. and Kirkeby, Carsten}}, issn = {{2375-2548}}, language = {{eng}}, month = {{05}}, number = {{20}}, publisher = {{American Association for the Advancement of Science (AAAS)}}, series = {{Science Advances}}, title = {{Lidar reveals activity anomaly of malaria vectors during pan-African eclipse}}, url = {{http://dx.doi.org/10.1126/sciadv.aay5487}}, doi = {{10.1126/sciadv.aay5487}}, volume = {{6}}, year = {{2020}}, }