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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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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).

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The data shown below were collected from the profiles of 3 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 101 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 99 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 19%
Student > Master 14 14%
Student > Ph. D. Student 11 11%
Student > Bachelor 10 10%
Student > Postgraduate 9 9%
Other 16 16%
Unknown 22 22%
Readers by discipline Count As %
Medicine and Dentistry 21 21%
Social Sciences 10 10%
Nursing and Health Professions 9 9%
Agricultural and Biological Sciences 5 5%
Computer Science 4 4%
Other 23 23%
Unknown 29 29%
Attention Score in Context

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
#13,956,297
of 22,828,180 outputs
Outputs from Malaria Journal
#3,748
of 5,569 outputs
Outputs of similar age
#135,712
of 272,396 outputs
Outputs of similar age from Malaria Journal
#87
of 136 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,569 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 29th percentile – i.e., 29% 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 272,396 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.