Article

Poster: Fighting Dengue Fever with Aerial Drones

Authors:

K T Y Mahima,

Malith Weerasekara,

Kasun De Zoysa,

Chamath Keppitiyagama,

Luca Mottola,

Thiemo Voigt,

Markus FlierlAuthors Info & Claims

EWSN '22: Proceedings of the 2022 INTERNATIONAL CONFERENCE ON EMBEDDED WIRELESS SYSTEMS AND NETWORKS

Pages 206 - 207

Published: 18 January 2023 Publication History

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Abstract

Dengue and Zika are two arboviral viruses that affect a significant portion of the world population. Each year, almost 400 million dengue infections happen. Due to severe dengue fever, around half a million people each year are in need of hospitalization and about 36.000 people die.

Dengue spreads rapidly in densely populated urban areas. The principle vector species of both dengue and zika viruses are the Aedes aegypti and Aedes albopictus mosquitoes. They breed in very slow-flowing or standing water pools. It is important to reduce and control such potential breeding grounds to contain the spread of these diseases.

We describe our system design and presents initial results. We employ mmWave radios to detect water retention areas as potential mosquito habitats. Next, we use multi-spectral images to analyze the water area, measure the depth of the water, and understand the larvae density. After that, we fuse the results for the final classification of the water area.

References

[1]

Sarira,T V.,Clarke,K D.,Weinstein,P.,Koh,L P., and Lewis,M M. 2020. "Rapid identification of shallow inundation for mosquito disease mitigation using drone-derived multispectral imagery". In Geospatial health.

Google Scholar

[2]

Stanton,M C.,Kalonde,P.,Zembere,K.,Spaans,R H., and Jones,C M. 2021. "The application of drones for mosquito larval habitat identification in rural environments: a practical approach for malaria control?". In Malaria journal. vol. 20,pp. 1--17.

Crossref

Google Scholar

[3]

World Mosquito Program,. 2022. "Statistics for mosquito-borne diseases deaths". In Online=. pp. 2022--2027.

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Poster: Fighting Dengue Fever with Aerial Drones

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EWSN '22: Proceedings of the 2022 International Conference on Embedded Wireless Systems and Networks

December 2022

273 pages

Editors:
Alois Ferscha
Johannes Kepler University Linz (Austria), Pro2Future GmbH (Austria)
,
Mun Choon Chan
National University of Singapore (Singapore)
,
Salil Kanhere
University of New South Wales (Australia)
,
Ranga Rao Venkatesha Prasad
TU Delft (Netherlands)

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 January 2023

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EWSN '22

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October 3 - 5, 2022

Linz, Austria

Acceptance Rates

EWSN '22 Paper Acceptance Rate 18 of 46 submissions, 39%;

Overall Acceptance Rate 81 of 195 submissions, 42%

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A novel dengue fever (DF) and dengue haemorrhagic fever (DHF) analysis using artificial neural network (ANN)

Modeling the dynamics of dengue fever

Modeling Dengue Fever Subject to Temperature Change

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