Evidence mapPaperPMID 40513539Full record

ArticleEnvironment international2025

High-resolution mapping of residential wood burning heat sources using Energy Performance Certificates: A case study of England and Wales.

Laura Horsfall, Calum Kennedy, Nicola Shelton, Jonathon Taylor, John R Hurst, Matthew Loxham, Adam Dennett, Pia Hardelid

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Article in Environment international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Laura HorsfallInstitute of Health Informatics, University College London, London, NW1 2DA, United Kingdom. Electronic address: laura.horsfall@ucl.ac.uk.
Calum KennedyInstitute of Health Informatics, University College London, London, NW1 2DA, United Kingdom.
Nicola SheltonDepartment of Epidemiology and Public Health, University College London, London, WC1E 7HB, United Kingdom.
Jonathon TaylorFaculty of Built Environment, Tampere University, Korkeakoulunkatu 7, Tampere, 33720, Finland.
John R HurstUCL Respiratory, University College London, London, NW3 2PF, United Kingdom.
Matthew LoxhamInstitute for Life Sciences, University of Southampton, Southampton, SO17 1BJ, United Kingdom.
Adam DennettBartlett Centre for Advanced Spatial Analytics, University College London, London, W1T 4TJ, United Kingdom.
Pia HardelidGreat Ormond Institute of Child Health, University College London, London, WC1N 1EH, United Kingdom.

Funding

Wellcome Trust 225195
6 · The paper itself

Abstract

backgroundParticulate matter emissions from residential wood burning are rising in many countries. Long-term exposure to fine particulate matter is strongly linked with adverse health effects including cardiovascular and respiratory disease. Policymakers and scientists need accurate tools to identify residential wood burning hotspots. However, current methods rely on spatially-misaligned, out-of-date data sources, reducing their practical utility and portability to other contexts. Furthermore, the socio-economic characteristics of residential wood burning in high income countries are poorly understood.

methodsWe used open data from 26 million Energy Performance Certificates (EPCs) for properties in England and Wales from 2009-2025 to map the concentration and prevalence of wood burners within small areas. We evaluated our method against the UK national wood burning emissions inventory using national air pollution monitoring networks. We used novel open data linkages to characterise associations between area-level prevalence of wood burners and socio-economic factors including deprivation, ethnicity, and age.

findingsWe identified substantial spatial heterogeneity in the concentration of wood burners, with the highest concentrations in affluent urban areas. Our concentration metric was more strongly correlated with peaks in winter PM2.5 at urban monitoring sites than estimates from the UK national emissions inventory. Prevalence of wood burners was positively correlated with age and negatively correlated with measures of social deprivation. Prevalence of wood burners in EPCs has increased since 2009.

conclusionsEPCs are a valuable data source which policymakers can use to target local interventions or extend existing restrictions on solid fuel burning. Our method is transparent, up-to-date, and portable to other countries where similar EPC data is available. The relationship between social deprivation and prevalence of wood burning heat sources highlights important issues of environmental justice. Epidemiological analyses of wood smoke exposures and health should carefully account for the confounding effects of age, deprivation, and ethnicity.

Indexed as

Air PollutantsEnvironmental MonitoringWoodAir PollutionEnglandHot TemperatureHumansParticulate MatterSmokeWalesAir PollutantsParticulate MatterSmokeAir pollutionBuilt environmentData scienceExposure assessmentSpatial statistics

Identifiers

PMID40513539
PMCPMC7618568

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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 Socratic graph.