Evidence map›Paper›PMID 32380606›Full record

ArticleThe Science of the total environment2019

MicroEnv: A microsimulation model for quantifying the impacts of environmental policies on population health and health inequalities.

Phil Symonds, Emma Hutchinson, Andrew Ibbetson, Jonathon Taylor, James Milner, Zaid Chalabi, Michael Davies, Paul Wilkinson

Abstract read
In one paragraph

Article in The Science of the total environment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. The impacts of pollution and its associated spatial spillover effects on ill-health in China.Environmental science and pollution research international · 2021
    Article
  6. Article
  7. Article
  8. Article
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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

8 authors.

Phil SymondsInstitute of Environmental Design and Engineering, UCL, London, UK. Electronic address: p.symonds@ucl.ac.uk.
Emma HutchinsonLondon School of Hygiene and Tropical Medicine, London, UK. Electronic address: emma.hutchinson@lshtm.ac.uk.
Andrew IbbetsonLondon School of Hygiene and Tropical Medicine, London, UK. Electronic address: andrew.ibbetson1@lshtm.ac.uk.
Jonathon TaylorInstitute of Environmental Design and Engineering, UCL, London, UK. Electronic address: j.g.taylor@ucl.ac.uk.
James MilnerLondon School of Hygiene and Tropical Medicine, London, UK. Electronic address: james.milner@lshtm.ac.uk.
Zaid ChalabiInstitute of Environmental Design and Engineering, UCL, London, UK; London School of Hygiene and Tropical Medicine, London, UK. Electronic address: z.chalabi@ucl.ac.uk.
Michael DaviesInstitute of Environmental Design and Engineering, UCL, London, UK. Electronic address: michael.davies@ucl.ac.uk.
Paul WilkinsonInstitute of Environmental Design and Engineering, UCL, London, UK. Electronic address: paul.wilkinson@lshtm.ac.uk.

Funding

Wellcome Trust
6 · The paper itself

Abstract

The Sustainable Development Goals (SDGs) recognise the critical need to improve population health and environmental sustainability. This paper describes the development of a microsimulation model, MicroEnv, aimed at quantifying the impact of environmental exposures on health as an aid to selecting policies likely to have greatest benefit. Its methods allow the integration of morbidity and mortality outcomes and the generation of results at high spatial resolution. We illustrate its application to the assessment of the impact of air pollution on health in London. Simulations are performed at Lower Layer Super Output Area (LSOA), the smallest geographic unit (population of around 1500 inhabitants) for which detailed socio-demographic data are routinely available in the UK. The health of each individual in these LSOAs is simulated year-by-year using a health-state-transition model, where transition probabilities from one state to another are based on published statistics modified by relative risks that reflect the effect of environmental exposures. This is done through linkage of the simulated population in each LSOA with 1 × 1 km annual average PM

Indexed as

Computer SimulationEnvironmental PolicyHealth Status DisparitiesPopulation HealthAir PollutionEnvironmental ExposureHumansLondonParticulate MatterParticulate MatterAir pollutionDeprivationEnvironmental risksHealth modellingMicrosimulationSDGs

Identifiers

PMID32380606
PMCPMC7212697

What OpenQuestion holds

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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.