Evidence map›Paper›PMID 23202882›Full record

ArticleInternational journal of environmental research and public health2012

Using the gravity model to estimate the spatial spread of vector-borne diseases.

José Miguel Barrios, Willem W Verstraeten, Piet Maes, Jean-Marie Aerts, Jamshid Farifteh, Pol Coppin

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in International journal of environmental research and public health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

15 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Spatial Interaction Analysis of Infectious Disease Import and Export between Regions.International journal of environmental research and public health · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Review
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  11. Review
  12. Article
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  14. Review
  15. Natural-focal diseases: mapping experience in Russia.International journal of health geographics · 2014
    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

6 authors at 2 institutions in 2 countries.

José Miguel BarriosBiosystems Department M3-BIORES, KU Leuven, Heverlee, Belgium. miguel.barrios@biw.kuleuven.be
Willem W Verstraeten
Piet Maes
Jean-Marie Aerts
Jamshid Farifteh
Pol Coppin
KU Leuven · BEEindhoven University of Technology · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gravity models are commonly used spatial interaction models. They have been widely applied in a large set of domains dealing with interactions amongst spatial entities. The spread of vector-borne diseases is also related to the intensity of interaction between spatial entities, namely, the physical habitat of pathogens’ vectors and/or hosts, and urban areas, thus humans. This study implements the concept behind gravity models in the spatial spread of two vector-borne diseases, nephropathia epidemica and Lyme borreliosis, based on current knowledge on the transmission mechanism of these diseases. Two sources of information on vegetated systems were tested: the CORINE land cover map and MODIS NDVI. The size of vegetated areas near urban centers and a local indicator of occupation-related exposure were found significant predictors of disease risk. Both the land cover map and the space-borne dataset were suited yet not equivalent input sources to locate and measure vegetated areas of importance for disease spread. The overall results point at the compatibility of the gravity model concept and the spatial spread of vector-borne diseases.

Indexed as

Spatial AnalysisAnimalsArachnid VectorsArvicolinaeBelgiumEnvironmentHemorrhagic Fever with Renal SyndromeHumansIxodidaeLyme DiseasePopulation DensityRisk AssessmentTopography, Medical

Identifiers

PMID23202882
PMCPMC3546766
OpenAlexW2010116059

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.