Evidence map›Paper›PMID 24976656›Full record

ArticleApplied geography (Sevenoaks, England)2014

Participatory Risk Mapping of Malaria Vector Exposure in Northern South America using Environmental and Population Data.

D O Fuller, A Troyo, T O Alimi, J C Beier

Abstract read
In one paragraph

Article in Applied geography (Sevenoaks, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
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

4 authors.

D O FullerDepartment of Geography and Regional Studies, University of Miami, Coral Gables, FL USA.
A TroyoCentro de Investigación en Enfermedades Tropicales, Facultad de Microbiología, Universidad de Costa Rica, SanJosé, Costa Rica.
T O AlimiAbess Center for Ecosystem Science and Policy, University of Miami, Coral Gables, FL USA.
J C BeierDepartment of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL USA.

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 AI089702
6 · The paper itself

Abstract

Malaria elimination remains a major public health challenge in many tropical regions, including large areas of northern South America. In this study, we present a new high spatial resolution (90 × 90 m) risk map for Colombia and surrounding areas based on environmental and human population data. The map was created through a participatory multi-criteria decision analysis in which expert opinion was solicited to determine key environmental and population risk factors, different fuzzy functions to standardize risk factor inputs, and variable factor weights to combine risk factors in a geographic information system. The new risk map was compared to a map of malaria cases in which cases were aggregated to the municipio (municipality) level. The relationship between mean municipio risk scores and total cases by muncípio showed a weak correlation. However, the relationship between pixel-level risk scores and vector occurrence points for two dominant vector species,

Indexed as

Anopheles speciesmalariamulti-criteria decision analysisParticipatory GISrisk mapping

Identifiers

PMID24976656
PMCPMC4066217

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.