Evidence map›Paper›PMID 23733281›Full record

ArticleGeospatial health2013

Spatializing health research: what we know and where we are heading.

Tse-Chuan Yang, Carla Shoff, Aggie J Noah

Abstract read
In one paragraph

Article in Geospatial health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. COVIDanno, COVID-19 annotation in human.Frontiers in microbiology · 2023
    Article
  2. Article
  3. A Review of Spatial Analysis Application in Childhood Malnutrition Studies.The Malaysian journal of medical sciences : MJMS · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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

3 authors.

Tse-Chuan YangSocial Science Research Institute and Population Research Institute, The Pennsylvania State University, University Park, PA 16802, USA. tuy111@psu.edu
Carla Shoff
Aggie J Noah

Funding

Population Research InstituteR24HD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI MATTHEWS, STEPHEN A · 2001 to 2016
$9.7M
Training Program in Social Environments and Population HealthT32HD007514 · NICHD · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI JOHN D. ICELAND · 1999 to 2026
$5.1M
NICHD NIH HHS R24 HD041025NICHD NIH HHS T32 HD007514
6 · The paper itself

Abstract

Beyond individual-level factors, researchers have adopted a spatial perspective to explore potentially modifiable environmental determinants of health. A spatial perspective can be integrated into health research by incorporating spatial data into studies or analysing georeferenced data. Given the rapid changes in data collection methods and the complex dynamics between individuals and environment, we argue that geographical information system (GIS) functions have shortcomings with respect to analytical capability and are limited when it comes to visualizing the temporal component in spatio-temporal data. In addition, we maintain that relatively little effort has been made to handle spatial heterogeneity. To that end, health researchers should be persuaded to better justify the theoretical meaning underlying the spatial matrix in analysis, while spatial data collectors, GIS specialists, spatial analysis methodologists and the different breeds of users should be encouraged to work together making health research move forward through addressing these issues.

Indexed as

Epidemiologic MethodsGeographic Information SystemsSocial Determinants of HealthData CollectionHumansResearch DesignSmall-Area Analysis

Identifiers

PMID23733281
PMCPMC3732658

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.