Evidence map›Paper›PMID 36900865›Full record

ArticleInternational journal of environmental research and public health2023

Does It Measure Up? A Comparison of Pollution Exposure Assessment Techniques Applied across Hospitals in England.

Laure de Preux, Dheeya Rizmie, Daniela Fecht, John Gulliver, Weiyi Wang

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In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Air pollution and alveolar health.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  5. 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

5 authors.

Laure de PreuxCentre for Health Economics & Policy Innovation, Department of Economics & Public Policy, Imperial College Business School, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-1684-9397
Dheeya RizmieCentre for Health Economics & Policy Innovation, Department of Economics & Public Policy, Imperial College Business School, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-2664-9161
Daniela FechtMedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-0738-0013
John GulliverMedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London SW7 2AZ, UK.
Weiyi WangMedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0001-7591-1528

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Weighted averages of air pollution measurements from monitoring stations are commonly assigned as air pollution exposures to specific locations. However, monitoring networks are spatially sparse and fail to adequately capture the spatial variability. This may introduce bias and exposure misclassification. Advanced methods of exposure assessment are rarely practicable in estimating daily concentrations over large geographical areas. We propose an accessible method using temporally adjusted land use regression models (daily LUR). We applied this to produce daily concentration estimates for nitrogen dioxide, ozone, and particulate matter in a healthcare setting across England and compared them against geographically extrapolated measurements (inverse distance weighting) from air pollution monitors. The daily LUR estimates outperformed IDW. The precision gains varied across air pollutants, suggesting that, for nitrogen dioxide and particulate matter, the health effects may be underestimated. The results emphasised the importance of spatial heterogeneity in investigating the societal impacts of air pollution, illustrating improvements achievable at a lower computational cost.

Indexed as

Air PollutantsAir PollutionEnglandEnvironmental MonitoringHospitalsNitrogen DioxideParticulate MatterAir PollutantsNitrogen DioxideParticulate Matterair pollutioninverse distance weightingland use regressionpollution exposure

Identifiers

PMID36900865
PMCPMC10001179

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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.