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Using low-cost drones to map malaria vector habitats

Overview of attention for article published in Parasites & Vectors, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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1 news outlet
policy
1 policy source
twitter
12 X users

Citations

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77 Dimensions

Readers on

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184 Mendeley
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Title
Using low-cost drones to map malaria vector habitats
Published in
Parasites & Vectors, January 2017
DOI 10.1186/s13071-017-1973-3
Pubmed ID
Authors

Andy Hardy, Makame Makame, Dónall Cross, Silas Majambere, Mwinyi Msellem

Abstract

There is a growing awareness that if we are to achieve the ambitious goal of malaria elimination, we must compliment indoor-based vector control interventions (such as bednets and indoor spraying) with outdoor-based interventions such as larval source management (LSM). The effectiveness of LSM is limited by our capacity to identify and map mosquito aquatic habitats. This study provides a proof of concept for the use of a low-cost (< $1000) drone (DJI Phantom) for mapping water bodies in seven sites across Zanzibar including natural water bodies, irrigated and non-irrigated rice paddies, peri-urban and urban locations. With flying times of less than 30 min for each site, high-resolution (7 cm) georeferenced images were successfully generated for each of the seven sites, covering areas up to 30 ha. Water bodies were readily identifiable in the imagery, as well as ancillary information for planning LSM activities (access routes to water bodies by road and foot) and public health management (e.g. identification of drinking water sources, mapping individual households and the nature of their construction). The drone-based surveys carried out in this study provide a low-cost and flexible solution to mapping water bodies for operational dissemination of LSM initiatives in mosquito vector-borne disease elimination campaigns. Generated orthomosaics can also be used to provide vital information for other public health planning activities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 <1%
Unknown 183 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 20%
Researcher 24 13%
Student > Ph. D. Student 21 11%
Student > Bachelor 18 10%
Other 12 7%
Other 37 20%
Unknown 36 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 14%
Medicine and Dentistry 23 13%
Environmental Science 16 9%
Engineering 15 8%
Nursing and Health Professions 12 7%
Other 44 24%
Unknown 48 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 October 2020.
All research outputs
#1,661,131
of 25,027,753 outputs
Outputs from Parasites & Vectors
#254
of 5,884 outputs
Outputs of similar age
#34,277
of 433,041 outputs
Outputs of similar age from Parasites & Vectors
#6
of 122 outputs
Altmetric has tracked 25,027,753 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,884 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 433,041 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.