Evidence map›Paper›PMID 26940004›Full record

ArticleBMC public health2016

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

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

Abstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Temitope O AlimiAbess Center for Ecosystem Science and Policy, University of Miami, Coral Gables, FL, USA. t.alimi@umiami.edu.
Douglas O FullerDepartment of Geography and Regional Studies, University of Miami, Coral Gables, FL, USA. dofuller@miami.edu.
Socrates V HerreraCentro de Investigación Científica Caucaseco, Cali, Colombia. sherrera@inmuno.org.
Myriam Arevalo-HerreraCentro de Investigación Científica Caucaseco, Cali, Colombia. marevalo@inmuno.org.
Martha L QuinonesDepartment of Public Health, Universidad Nacional de Colombia, Bogota, Colombia. marthalquinones@gmail.com.
Justin B StolerDepartment of Geography and Regional Studies, University of Miami, Coral Gables, FL, USA. stoler@miami.edu.
John C BeierDepartment of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA. jbeier@med.miami.edu.

Funding

Vector Biology Research and Integrated Vector Management For Malaria ControlU19AI089702 · NIAID · CAUCASECO SCIENTIFIC RESEARCH CENTER · PI HERRERA VALENCIA, SOCRATES · 2010 to 2016
$11.5M
NIAID NIH HHS U19 AI089702NIAID NIH HHS U19AI089702
6 · The paper itself

Abstract

backgroundMalaria 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.

methodsThe 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.

resultsResults 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.

conclusionIn 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.

Indexed as

Decision Support TechniquesAnimalsAnophelesHumansInsect VectorsMalariaRisk AssessmentRisk FactorsSouth America

Identifiers

PMID26940004
PMCPMC4778356

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.