Evidence map›Paper›PMID 24705362›Full record

ArticleInternational journal of environmental research and public health2014

Spatial relationship quantification between environmental, socioeconomic and health data at different geographic levels.

Mahdi-Salim Saib, Julien Caudeville, Florence Carre, Olivier Ganry, Alain Trugeon, Andre Cicolella

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Design of an Integrated Platform for Mapping Residential Exposure to Rf-Emf Sources.International journal of environmental research and public health · 2020
    Article
  3. Article
  4. Article
  5. Article
  6. Quantitative Assessment of Relationship between Population Exposure to PMInternational journal of environmental research and public health · 2018
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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.

Mahdi-Salim SaibFrench National Institute for Industrial Environment and Risks, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France. Mahdi-Salim.SAIB@ineris.fr.
Julien CaudevilleFrench National Institute for Industrial Environment and Risks, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France. Julien.CAUDEVILLE@ineris.fr.
Florence CarreFrench National Institute for Industrial Environment and Risks, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France. Florence.CARRE@ineris.fr.
Olivier GanryUniversity Hospital of Amiens, Place Victor Pauchet Amiens 80054, France. Ganry.olivier@chu-amiens.fr.
Alain TrugeonRegional Observatory of Health and Social Issues in Picardie (OR2S), 3, rue des Louvels, Amiens 80036, France. Alain.trugeon@or2s.fr.
Andre CicolellaFrench National Institute for Industrial Environment and Risks, Parc Technologique Alata, BP 2, 60550 Verneuil-en-Halatte, France. Andre.CICOLELLA@ineris.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial health inequalities have often been analyzed in terms of socioeconomic and environmental factors. The present study aimed to evaluate spatial relationships between spatial data collected at different spatial scales. The approach was illustrated using health outcomes (mortality attributable to cancer) initially aggregated to the county level, district socioeconomic covariates, and exposure data modeled on a regular grid. Geographically weighted regression (GWR) was used to quantify spatial relationships. The strongest associations were found when low deprivation was associated with lower lip, oral cavity and pharynx cancer mortality and when low environmental pollution was associated with low pleural cancer mortality. However, applying this approach to other areas or to other causes of death or with other indicators requires continuous exploratory analysis to assess the role of the modifiable areal unit problem (MAUP) and downscaling the health data on the study of the relationship, which will allow decision-makers to develop interventions where they are most needed.

Indexed as

CadmiumEatingEnvironmental ExposureEnvironmental PollutantsFranceGeographyHumansInhalationLeadNeoplasmsNickelRegression AnalysisSocioeconomic FactorsSpatial AnalysisCadmiumEnvironmental PollutantsLeadNickel

Identifiers

PMID24705362
PMCPMC4025013

What OpenQuestion holds

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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.