Evidence map›Paper›PMID 32293007›Full record

ArticleInternational journal of epidemiology2020

Availability, access, analysis and dissemination of small-area data.

Susan Hodgson, Daniela Fecht, John Gulliver, Hima Iyathooray Daby, Frédéric B Piel, Fuyuen Yip, Heather Strosnider, Anna Hansell, Paul Elliott

Abstract read
In one paragraph

Article in International journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. HealthyPlan.City: A Web Tool to Support Urban Environmental Equity and Public Health in Canadian Communities.Journal of urban health : bulletin of the New York Academy of Medicine · 2024
    Article
  3. Article
  4. Small-area methods for investigation of environment and health.International journal of epidemiology · 2020
    Article
  5. Article
  6. 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

9 authors.

Susan HodgsonMRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Daniela FechtMRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
John GulliverMRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Hima Iyathooray DabyMRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Frédéric B PielMRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Fuyuen YipEnvironmental Health Tracking Section, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, USA.
Heather StrosniderEnvironmental Health Tracking Section, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, USA.
Anna HansellMRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Paul ElliottMRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.

Funding

Medical Research Council MR/L01341X/1
6 · The paper itself

Abstract

In this era of 'big data', there is growing recognition of the value of environmental, health, social and demographic data for research. Open government data initiatives are growing in number and in terms of content. Remote sensing data are finding widespread use in environmental research, including in low- and middle-income settings. While our ability to study environment and health associations across countries and continents grows, data protection rules and greater patient control over the use of their data present new challenges to using health data in research. Innovative tools that circumvent the need for the physical sharing of data by supporting non-disclosive sharing of information, or that permit spatial analysis without researchers needing access to underlying patient data can be used to support analyses while protecting data confidentiality. User-friendly visualizations, allowing small-area data to be seen and understood by non-expert audiences, are revolutionizing public and researcher interactions with data. The UK Small Area Health Statistics Unit's Environment and Health Atlas for England and Wales, and the US National Environmental Public Health Tracking Network offer good examples. Open data facilitates user-generated outputs, and 'mash-ups', and user-generated inputs from social media, mobile devices and wearable tech are new data streams that will find utility in future studies, and bring novel dimensions with respect to ethical use of small-area data.

Indexed as

Access to InformationData AnalysisInformation DisseminationSmall-Area AnalysisBig DataConfidentialityEnglandHumansPublic HealthWalesenvironment and healthopen dataremote sensingSmall-area studies

Identifiers

PMID32293007
PMCPMC7158061

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.