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Assessing the effects of malaria interventions on the geographical distribution of parasitaemia risk in Burkina Faso

Overview of attention for article published in Malaria Journal, April 2016
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Title
Assessing the effects of malaria interventions on the geographical distribution of parasitaemia risk in Burkina Faso
Published in
Malaria Journal, April 2016
DOI 10.1186/s12936-016-1282-x
Pubmed ID
Authors

Eric Diboulo, Ali Sié, Penelope Vounatsou

Abstract

Burkina Faso conducted its first nationally representative household malaria survey in 2010/2011. The survey collected among others, information on malaria interventions, treatment choices and malaria parasite prevalence in children aged 6-59 months. In this study, Bayesian geostatistical models were employed to assess the effects of health interventions related to insecticide-treated bed nets (ITN), indoor residual spray (IRS), artemisinin-based combination therapy (ACT) coverage associated with childhood malaria parasite risk at national and sub-national level, after taking into account geographical disparities of climatic/environmental and socio-economic factors. Several ITN coverage measures were calculated and Bayesian variable selection was used to identify the most important ones. Parasitaemia risk depicting spatial patterns of infections were estimated. The results show that the predicted population-adjusted parasitaemia risk ranges from 4.04 % in Kadiogo province to 82 % in Kompienga province. The effect of ITN coverage was not important at national level; however ITNs have an important protective effect in Ouagadougou as well as in three districts in the western part of the country with high parasitaemia prevalence and low to moderate coverage. There is a large variation in ACT coverage between the districts. Although at national level the ACT effects on parasitaemia risk was not important, at sub-national level 18 districts around Ouagadougou deliver effective treatment. The produced maps show great variations in parasitaemia risk across the country and identify the districts where interventions are being effective. These outputs are valuable tools that can help improve malaria control in Burkina Faso.

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The data shown below were collected from the profiles of 4 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 109 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 21%
Student > Ph. D. Student 19 17%
Researcher 15 14%
Student > Bachelor 8 7%
Student > Doctoral Student 4 4%
Other 13 12%
Unknown 27 25%
Readers by discipline Count As %
Medicine and Dentistry 25 23%
Nursing and Health Professions 13 12%
Agricultural and Biological Sciences 8 7%
Social Sciences 6 6%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 21 19%
Unknown 33 30%
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 22 April 2016.
All research outputs
#15,510,481
of 24,580,204 outputs
Outputs from Malaria Journal
#4,063
of 5,786 outputs
Outputs of similar age
#165,793
of 304,571 outputs
Outputs of similar age from Malaria Journal
#119
of 164 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,786 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 25th percentile – i.e., 25% 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 304,571 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.