Evidence map›Paper›PMID 30388884›Full record

ArticleInternational journal of environmental research and public health2018

Using Open Street Map Data in Environmental Exposure Assessment Studies: Eastern Massachusetts, Bern Region, and South Israel as a Case Study.

Itai Kloog, Lara Ifat Kaufman, Kees de Hoogh

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Itai KloogDepartment of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva 8410501, Israel. ikloog@bgu.ac.il.
Lara Ifat KaufmanDepartment of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva 8410501, Israel. laraifat@post.bgu.ac.il.
Kees de HooghEnvironmental Exposure and Health Unit, Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, 4051 Basel, Switzerland. c.dehoogh@unibas.ch.ORCID 0000-0001-5974-2007

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an increase in the awareness of the importance of spatial data in epidemiology and exposure assessment (EA) studies. Most studies use governmental and ordnance surveys, which are often expensive and sparsely updated, while in most developing countries, there are often no official geo-spatial data sources. OpenStreetMap (OSM) is an open source Volunteered Geographic Information (VGI) mapping project. Yet very few environmental epidemiological and EA studies have used OSM as a source for road data. Since VGI data is either noncommercial or governmental, the validity of OSM is often questioned. We investigate the robustness and validity of OSM data for use in epidemiological and EA studies. We compared OSM and Governmental Major Road Data (GRD) in three different regions: Massachusetts, USA; Bern, Switzerland; and Beer-Sheva, South Israel. The comparison was done by calculating data completeness, positional accuracy, and EA using traditional exposure methods. We found that OSM data is fairly complete and accurate in all regions. The results in all regions were robust, with Massachusetts showing the best fits (R² 0.93). Results in Bern (R² 0.78) and Beer-Sheva (R² 0.77) were only slightly lower. We conclude by suggesting that OSM data can be used reliably in environmental assessment studies.

Indexed as

Geographic Information SystemsGeographic MappingEnvironmental ExposureEpidemiologic MethodsHumansIsraelMassachusettsRisk AssessmentSwitzerlandcompletenessepidemiologyexposure assessmentOpenStreetMappositional accuracypublic health

Identifiers

PMID30388884
PMCPMC6267018

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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.