Journal of
Public Health and Epidemiology

  • Abbreviation: J. Public Health Epidemiol.
  • Language: English
  • ISSN: 2141-2316
  • DOI: 10.5897/JPHE
  • Start Year: 2009
  • Published Articles: 656

Full Length Research Paper

High-accuracy detection of malaria mosquito habitats using drone-based multispectral imagery and Artificial Intelligence (AI) algorithms in an agro-village peri-urban pastureland intervention site (Akonyibedo) in Unyama Sub–County, Gulu District, Northern Uganda

Mona Minakshi
  • Mona Minakshi
  • Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA.
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Tanvir Bhuiyan
  • Tanvir Bhuiyan
  • Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA.
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Sherzod Kariev
  • Sherzod Kariev
  • Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA.
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Martha Kaddumukasa
  • Martha Kaddumukasa
  • Department of Parasitology and Entomology, Makerere University P. O. Box 7062, Kampala, Uganda.
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Denis Loum
  • Denis Loum
  • Nwoya District, Local Government, Nwoya, Uganda.
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Nathanael B. Stanley
  • Nathanael B. Stanley
  • College of Public Health, University of South Florida, Tampa, FL, USA.
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Sriram Chellappan
  • Sriram Chellappan
  • Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA.
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Peace Habomugisha
  • Peace Habomugisha
  • The Carter Center, Plot 15 Bombo Road, Kampala, Uganda.
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David W. Oguttu
  • David W. Oguttu
  • Vector Control Division, Plot 6, Loudrel Road, Kampala Ministry of Health, Uganda.
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Benjamin G. Jacob
  • Benjamin G. Jacob
  • Nwoya District, Local Government, Nwoya, Uganda.
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  •  Received: 12 February 2020
  •  Accepted: 27 May 2020
  •  Published: 31 July 2020

How to cite this article

APA /
Minakshi, M., Bhuiyan, T., Kariev, S., Kaddumukasa, M., Loum, D., Stanley, N. B., Chellappan, S., Habomugisha, P., Oguttu, D. W., & Jacob, B. G. (2020). High-accuracy detection of malaria mosquito habitats using drone-based multispectral imagery and Artificial Intelligence (AI) algorithms in an agro-village peri-urban pastureland intervention site (Akonyibedo) in Unyama Sub–County, Gulu District, Northern Uganda. Journal of Public Health and Epidemiology, 12(3), 202-217.
Chicago /
Mona Minakshi, Tanvir Bhuiyan, Sherzod Kariev, Martha Kaddumukasa, Denis Loum, Nathanael B. Stanley, Sriram Chellappan, Peace Habomugisha, David W. Oguttu and Benjamin G. Jacob  . "High-accuracy detection of malaria mosquito habitats using drone-based multispectral imagery and Artificial Intelligence (AI) algorithms in an agro-village peri-urban pastureland intervention site (Akonyibedo) in Unyama Sub–County, Gulu District, Northern Uganda." Journal of Public Health and Epidemiology 12, no. 3 (2020): 202-217.
MLA /
Mona Minakshi, et al. "High-accuracy detection of malaria mosquito habitats using drone-based multispectral imagery and Artificial Intelligence (AI) algorithms in an agro-village peri-urban pastureland intervention site (Akonyibedo) in Unyama Sub–County, Gulu District, Northern Uganda." Journal of Public Health and Epidemiology 12.3 (2020): 202-217.
DOI /
https://doi.org/10.5897/JPHE2020.1213
URL /
https://academicjournals.org/journal/JPHE/article-abstract/EC1163D64331

Copyright © 2024 Author(s) retain the copyright of this article.

This article is published under the terms of the Creative Commons Attribution License 4.0

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