Evidence map›Paper›PMID 22469487›Full record

ArticleSpatial and spatio-temporal epidemiology2012

A research agenda: does geocoding positional error matter in health GIS studies?

Geoffrey M Jacquez

Abstract read
In one paragraph

Article in Spatial and spatio-temporal epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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  20. Incorporating a location-based socioeconomic index into a de-identified i2b2 clinical data warehouse.Journal of the American Medical Informatics Association : JAMIA · 2019
    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

1 author.

Geoffrey M JacquezBioMedware, Inc., Ann Arbor, MI 48104, USA. jacquez@biomedware.com

Funding

Case-only Cancer Clustering for Mobile PopulationsR44CA135818 · NCI · BIOMEDWARE · PI JACQUEZ, GEOFFREY M. · 2009 to 2010
$878k
Cancer Cluster MorphologyR44CA112743 · NCI · BIOMEDWARE · PI JACQUEZ, GEOFFREY M. · 2008 to 2009
$750k
Space-Time Technology for Reconstructing Exposure in Cancer Epidemiology StudiesR43CA132341 · NCI · BIOMEDWARE · PI JACQUEZ, GEOFFREY M. · 2007 to 2007
$100k
NCI NIH HHS 5R44CA112743-03NCI NIH HHS 5R44CA135818-03NCI NIH HHS R43 CA132341NCI NIH HHS R44 CA112743
6 · The paper itself

Abstract

Until recently, little attention has been paid to geocoding positional accuracy and its impacts on accessibility measures; estimates of disease rates; findings of disease clustering; spatial prediction and modeling of health outcomes; and estimates of individual exposures based on geographic proximity to pollutant and pathogen sources. It is now clear that positional errors can result in flawed findings and poor public health decisions. Yet the current state-of-practice is to ignore geocoding positional uncertainty, primarily because of a lack of theory, methods and tools for quantifying, modeling, and adjusting for geocoding positional errors in health analysis. This paper proposes a research agenda to address this need. It summarizes the basics of the geocoding process, its assumptions, and empirical evidence describing the magnitude of geocoding positional error. An overview of the impacts of positional error in health analysis, including accessibility, disease clustering, exposure reconstruction, and spatial weights estimation is presented. The proposed research agenda addresses five key needs: (1) a lack of standardized, open-access geocoding resources for use in health research; (2) a lack of geocoding validation datasets that will allow the evaluation of alternative geocoding engines and procedures; (3) a lack of spatially explicit geocoding positional error models; (4) a lack of resources for assessing the sensitivity of spatial analysis results to geocoding positional error; (5) a lack of demonstration studies that illustrate the sensitivity of health policy decisions to geocoding positional error.

Indexed as

Data Interpretation, StatisticalGeographic MappingCluster AnalysisGeographic Information SystemsHumansReproducibility of ResultsResearch DesignSpatial Analysis

Identifiers

PMID22469487
PMCPMC3319654

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.