Evidence map›Paper›PMID 32293011›Full record

ArticleInternational journal of epidemiology2020

Software application profile: the Rapid Inquiry Facility 4.0: an open access tool for environmental public health tracking.

Frédéric B Piel, Brandon Parkes, Peter Hambly, Aina Roca-Barceló, Martin McCallion, Giovanni Leonardi, Heather Strosnider, Fuyuen Yip, Paul Elliott, Anna L Hansell

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 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. Review
  2. Article
  3. Article
  4. Assessment of Relative Asthma Risk in Populations Living Near Incineration Facilities in Seoul, Korea.International journal of environmental research and public health · 2020
    Article
  5. Article
  6. Article
  7. Article
  8. Small-area methods for investigation of environment and health.International journal of epidemiology · 2020
    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

10 authors.

Frédéric B PielUK Small Area Health Statistics Unit (SAHSU), Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK.
Brandon ParkesUK Small Area Health Statistics Unit (SAHSU), Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK.
Peter HamblyUK Small Area Health Statistics Unit (SAHSU), Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK.
Aina Roca-BarcelóUK Small Area Health Statistics Unit (SAHSU), Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK.
Martin McCallionUK Small Area Health Statistics Unit (SAHSU), Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK.
Giovanni LeonardiEnvironmental Epidemiology Group, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, UK.
Heather StrosniderEnvironmental Public Health Tracking Program, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, US.
Fuyuen YipEnvironmental Public Health Tracking Program, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, US.
Paul ElliottUK Small Area Health Statistics Unit (SAHSU), Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK.
Anna L HansellUK Small Area Health Statistics Unit (SAHSU), Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK.

Funding

Medical Research Council MR/L01341X/1Wellcome TrustWellcome Trust 204535/Z/16/Z
6 · The paper itself

Abstract

The Rapid Inquiry Facility 4.0 (RIF) is a new user-friendly and open-access tool, developed by the UK Small Area Health Statistics Unit (SAHSU), to facilitate environment public health tracking (EPHT) or surveillance (EPHS). The RIF is designed to help public health professionals and academics to rapidly perform exploratory investigations of health and environmental data at the small-area level (e.g. postcode or detailed census areas) in order to identify unusual signals, such as disease clusters and potential environmental hazards, whether localized (e.g. industrial site) or widespread (e.g. air and noise pollution). The RIF allows the use of advanced disease mapping methods, including Bayesian small-area smoothing and complex risk analysis functionalities, while accounting for confounders. The RIF could be particularly useful to monitor spatio-temporal trends in mortality and morbidity associated with cardiovascular diseases, cancers, diabetes and chronic lung diseases, or to conduct local or national studies on air pollution, flooding, low-magnetic fields or nuclear power plants.

Indexed as

Environmental HealthPublic Health SurveillanceSoftwareAccess to InformationBayes TheoremHumansSmall-Area AnalysisUnited Kingdomcluster detectionDisease mappingepidemiologyrisk analysissurveillance

Identifiers

PMID32293011
PMCPMC7158065

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.