Evidence map›Paper›PMID 22429160›Full record

ReviewAnnual review of public health2012

A review of spatial methods in epidemiology, 2000-2010.

Amy H Auchincloss, Samson Y Gebreab, Christina Mair, Ana V Diez Roux

Abstract readReview
In one paragraph

Review in Annual review of public health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 3 pooled it
–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

119 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. A Systematic Review of Spatial and Spatio-temporal Analyses in Public Health Research in Korea.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2021
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  7. Modelling spatial heterogeneity in exposure buffers and risk: a hierarchical Bayesian approach.Journal of the Royal Statistical Society. Series C, Applied statistics · 2026
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59 more citing papers are in PubMed but not listed here.

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.

Amy H AuchinclossDepartment of Epidemiology and Biostatistics, Drexel University School of Public Health, Philadelphia, Pennsylvania 19102, USA. aha27@drexel.edu
Samson Y Gebreab
Christina Mair
Ana V Diez Roux

Funding

Social-biological predictors of heterogeneity in CVD risk in African AmericansP60MD002249 · NIMHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DIEZ ROUX, ANA VICTORIA · 2007 to 2016
$15.0M
Neighborhoods and CVD Risk in a Multiethnic Cohort (RMI)R01HL071759 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DIEZ ROUX, ANA VICTORIA · 2003 to 2013
$4.8M
NHLBI NIH HHS R01 HL071759NHLBI NIH HHS R01HL071759NIMHD NIH HHS P60 MD002249NIMHD NIH HHS P60MD002249
6 · The paper itself

Abstract

Understanding the impact of place on health is a key element of epidemiologic investigation, and numerous tools are being employed for analysis of spatial health-related data. This review documents the huge growth in spatial epidemiology, summarizes the tools that have been employed, and provides in-depth discussion of several methods. Relevant research articles for 2000-2010 from seven epidemiology journals were included if the study utilized a spatial analysis method in primary analysis (n = 207). Results summarized frequency of spatial methods and substantive focus; graphs explored trends over time. The most common spatial methods were distance calculations, spatial aggregation, clustering, spatial smoothing and interpolation, and spatial regression. Proximity measures were predominant and were applied primarily to air quality and climate science and resource access studies. The review concludes by noting emerging areas that are likely to be important to future spatial analysis in public health.

Indexed as

Epidemiologic MethodsEpidemiologic Research DesignDemographyEnvironmental MonitoringEpidemiological MonitoringGeographic Information SystemsHumansRegression AnalysisSpace-Time Clustering

Identifiers

PMID22429160
PMCPMC3638991

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.