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Open-source satellite enumeration to map households: planning and targeting indoor residual spraying for malaria

Overview of attention for article published in Malaria Journal, September 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

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3 tweeters

Citations

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30 Dimensions

Readers on

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91 Mendeley
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Title
Open-source satellite enumeration to map households: planning and targeting indoor residual spraying for malaria
Published in
Malaria Journal, September 2015
DOI 10.1186/s12936-015-0831-z
Pubmed ID
Authors

Aniset Kamanga, Silvia Renn, Derek Pollard, Daniel J Bridges, Brian Chirwa, Jessie Pinchoff, David A Larsen, Anna M Winters

Abstract

Defining the number and location of sprayable structures (houses) is foundational to plan and monitor indoor residual spray (IRS) implementation, a primary intervention used to control the transmission of malaria. Only by mapping the location and type of all sprayable structures can IRS operations be planned, estimates of spray coverage determined, and targeted delivery of IRS to specific locations be achieved. Previously, field-based enumeration has been used to guide IRS campaigns, however, this approach is costly, time-consuming and difficult to scale. As a result, field-based enumeration typically fails to map all structures in a given area, making estimations less reliable and reducing the enumerated coverage. Using open source satellite imagery and Geographic Information System software, satellite enumeration was conducted to guide IRS operations in 15 districts (91,302 km(2)) in northern Zambia during the 2014 spray season. Cost of satellite enumeration was compared to standard enumeration. Enumerated households were sampled to estimate sprayable surface area and wall type from the satellite enumeration using linear and logistic regression, respectively. In comparison to the traditional field-based enumeration procedure, satellite-based enumeration was 22 times faster, and 10 times less costly. An estimated 98 % of the satellite enumerated buildings correctly classified roof type. Predicted surface area of each household correlated at a value of 0.91 with measured surface area of each household. For IRS campaigns, high quality and high coverage enumeration data aid in planning, through informed insecticide procurement. Through the identification of geographical areas and populations to target, enumeration data guide operations and assist monitoring and evaluation of IRS through the unbiased estimation of coverage achieved. Satellite enumeration represents a quick, cheap and accurate system to provide these data, and has potential applications beyond IRS for delivery of other targeted or non-targeted interventions (e.g. net distributions, mass drug administration, immunization campaigns, or even sampling frames for field studies).

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
United States 1 1%
Unknown 89 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 21%
Student > Master 13 14%
Student > Ph. D. Student 11 12%
Student > Bachelor 9 10%
Student > Postgraduate 8 9%
Other 16 18%
Unknown 15 16%
Readers by discipline Count As %
Medicine and Dentistry 19 21%
Nursing and Health Professions 9 10%
Social Sciences 9 10%
Agricultural and Biological Sciences 5 5%
Unspecified 5 5%
Other 23 25%
Unknown 21 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 June 2020.
All research outputs
#10,606,977
of 18,041,417 outputs
Outputs from Malaria Journal
#3,226
of 4,922 outputs
Outputs of similar age
#117,533
of 254,436 outputs
Outputs of similar age from Malaria Journal
#1
of 1 outputs
Altmetric has tracked 18,041,417 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,922 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 254,436 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them