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Community-based intermittent mass testing and treatment for malaria in an area of high transmission intensity, western Kenya: study design and methodology for a cluster randomized controlled trial

Overview of attention for article published in Malaria Journal, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

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1 policy source
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9 X users

Citations

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6 Dimensions

Readers on

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94 Mendeley
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Title
Community-based intermittent mass testing and treatment for malaria in an area of high transmission intensity, western Kenya: study design and methodology for a cluster randomized controlled trial
Published in
Malaria Journal, June 2017
DOI 10.1186/s12936-017-1883-z
Pubmed ID
Authors

Aaron M. Samuels, Nobert Awino, Wycliffe Odongo, Benard Abong’o, John Gimnig, Kephas Otieno, Ya Ping Shi, Vincent Were, Denise Roth Allen, Florence Were, Tony Sang, David Obor, John Williamson, Mary J. Hamel, S. Patrick Kachur, Laurence Slutsker, Kim A. Lindblade, Simon Kariuki, Meghna Desai

Abstract

Most human Plasmodium infections in western Kenya are asymptomatic and are believed to contribute importantly to malaria transmission. Elimination of asymptomatic infections requires active treatment approaches, such as mass testing and treatment (MTaT) or mass drug administration (MDA), as infected persons do not seek care for their infection. Evaluations of community-based approaches that are designed to reduce malaria transmission require careful attention to study design to ensure that important effects can be measured accurately. This manuscript describes the study design and methodology of a cluster-randomized controlled trial to evaluate a MTaT approach for malaria transmission reduction in an area of high malaria transmission. Ten health facilities in western Kenya were purposively selected for inclusion. The communities within 3 km of each health facility were divided into three clusters of approximately equal population size. Two clusters around each health facility were randomly assigned to the control arm, and one to the intervention arm. Three times per year for 2 years, after the long and short rains, and again before the long rains, teams of community health volunteers visited every household within the intervention arm, tested all consenting individuals with malaria rapid diagnostic tests, and treated all positive individuals with an effective anti-malarial. The effect of mass testing and treatment on malaria transmission was measured through population-based longitudinal cohorts, outpatient visits for clinical malaria, periodic population-based cross-sectional surveys, and entomological indices.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 24%
Researcher 19 20%
Student > Postgraduate 5 5%
Student > Ph. D. Student 5 5%
Student > Doctoral Student 5 5%
Other 13 14%
Unknown 24 26%
Readers by discipline Count As %
Medicine and Dentistry 20 21%
Nursing and Health Professions 7 7%
Agricultural and Biological Sciences 7 7%
Social Sciences 6 6%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 17 18%
Unknown 34 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 01 May 2018.
All research outputs
#4,325,132
of 24,609,626 outputs
Outputs from Malaria Journal
#983
of 5,763 outputs
Outputs of similar age
#71,279
of 321,823 outputs
Outputs of similar age from Malaria Journal
#36
of 133 outputs
Altmetric has tracked 24,609,626 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 82% 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 321,823 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.