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Bed net use among school-aged children after a universal bed net campaign in Malawi

Overview of attention for article published in Malaria Journal, February 2016
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Bed net use among school-aged children after a universal bed net campaign in Malawi
Published in
Malaria Journal, February 2016
DOI 10.1186/s12936-016-1178-9
Pubmed ID

Andrea G. Buchwald, Jenny A. Walldorf, Lauren M. Cohee, Jenna E. Coalson, Nelson Chimbiya, Andy Bauleni, Kondwani Nkanaunena, Andrew Ngwira, Atupele Kapito-Tembo, Don P. Mathanga, Terrie E. Taylor, Miriam K. Laufer


Recent data from Malawi suggest that school-aged children (SAC), aged 5-15 years, have the highest prevalence of Plasmodium falciparum infection among all age groups. They are the least likely group to utilize insecticide-treated nets (ITNs), the most commonly available intervention to prevent malaria in Africa. This study examined the effects of a universal ITN distribution campaign, and their durability over time in SAC in Malawi. This study identified factors that influence net usage among SAC and how these factors changed over time. Cross-sectional surveys using cluster random sampling were conducted at the end of each rainy and dry season in southern Malawi from 2012 to 2014; six surveys were done in total. Mass net distribution occurred between the first and second surveys. Data were collected on household and individual net usage as well as demographic information. Statistical analyses used generalized linear mixed models to account for clustering at the household and neighbourhood level. There were 7347 observations from SAC and 14,785 from young children and adults. SAC used nets significantly less frequently than the rest of the population (odds ratio (OR) from 0.14 to 0.38). The most important predictors of net usage among SAC were a lower ratio of people to nets in a household and higher proportion of nets that were hanging at the time of survey. Older SAC (11-15 years) were significantly less likely to use nets than younger SAC (5-10 years) [OR = 0.24 (95 % CI: 0.21, 0.28)]. The universal bed net campaign led to a statistically significant population-wide increase in net use, however net use returned to near baseline within 3 years. This study suggests that a single universal net distribution campaign, in combination with routine distribution through health clinics is not sufficient to cause a sustained increase in net usage among SAC. Novel approaches to ITN distribution, such as school-based distribution, may be needed to address the high prevalence of infection in SAC.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 97 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 17%
Student > Ph. D. Student 15 15%
Student > Master 15 15%
Student > Bachelor 12 12%
Lecturer 4 4%
Other 18 18%
Unknown 17 17%
Readers by discipline Count As %
Medicine and Dentistry 24 24%
Nursing and Health Professions 15 15%
Agricultural and Biological Sciences 12 12%
Social Sciences 9 9%
Economics, Econometrics and Finance 4 4%
Other 12 12%
Unknown 22 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 March 2016.
All research outputs
of 14,708,324 outputs
Outputs from Malaria Journal
of 4,272 outputs
Outputs of similar age
of 266,101 outputs
Outputs of similar age from Malaria Journal
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Altmetric has tracked 14,708,324 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,272 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 16th percentile – i.e., 16% 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 266,101 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
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