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A multi-criteria decision analysis approach to assessing malaria risk in northern South America

Overview of attention for article published in BMC Public Health, March 2016
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Title
A multi-criteria decision analysis approach to assessing malaria risk in northern South America
Published in
BMC Public Health, March 2016
DOI 10.1186/s12889-016-2902-7
Pubmed ID
Authors

Temitope O. Alimi, Douglas O. Fuller, Socrates V. Herrera, Myriam Arevalo-Herrera, Martha L. Quinones, Justin B. Stoler, John C. Beier

Abstract

Malaria control in South America has vastly improved in the past decade, leading to a decrease in the malaria burden. Despite the progress, large parts of the continent continue to be at risk of malaria transmission, especially in northern South America. The objectives of this study were to assess the risk of malaria transmission and vector exposure in northern South America using multi-criteria decision analysis. The risk of malaria transmission and vector exposure in northern South America was assessed using multi-criteria decision analysis, in which expert opinions were taken on the key environmental and population risk factors. Results from our risk maps indicated areas of moderate-to-high risk along rivers in the Amazon basin, along the coasts of the Guianas, the Pacific coast of Colombia and northern Colombia, in parts of Peru and Bolivia and within the Brazilian Amazon. When validated with occurrence records for malaria, An. darlingi, An. albimanus and An. nuneztovari s.l., t-test results indicated that risk scores at occurrence locations were significantly higher (p < 0.0001) than a control group of geographically random points. In this study, we produced risk maps based on expert opinion on the spatial representation of risk of potential vector exposure and malaria transmission. The findings provide information to the public health decision maker/policy makers to give additional attention to the spatial planning of effective vector control measures. Therefore, as the region tackles the challenge of malaria elimination, prioritizing areas for interventions by using spatially accurate, high-resolution (1 km or less) risk maps may guide targeted control and help reduce the disease burden in the region.

X Demographics

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The data shown below were collected from the profiles of 2 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 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Ecuador 1 <1%
Kenya 1 <1%
Australia 1 <1%
Brazil 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 126 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 17%
Student > Master 22 17%
Student > Ph. D. Student 19 14%
Student > Bachelor 14 11%
Student > Doctoral Student 7 5%
Other 20 15%
Unknown 29 22%
Readers by discipline Count As %
Medicine and Dentistry 22 17%
Environmental Science 18 14%
Agricultural and Biological Sciences 18 14%
Engineering 6 5%
Earth and Planetary Sciences 5 4%
Other 26 20%
Unknown 38 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 15 March 2016.
All research outputs
#14,252,924
of 22,854,458 outputs
Outputs from BMC Public Health
#10,359
of 14,887 outputs
Outputs of similar age
#157,149
of 298,618 outputs
Outputs of similar age from BMC Public Health
#163
of 227 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,887 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 27th percentile – i.e., 27% 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 298,618 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 227 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.