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Enregistrement W1974377687 · doi:10.1136/bmj.f7713

Cutting household ventilation to improve energy efficiency

2014· letter· en· W1974377687 sur OpenAlexaboutno aff
Alistair Woodward

Notice bibliographique

RevueBMJ · 2014
Typeletter
Langueen
DomaineEnvironmental Science
ThématiqueClimate Change and Health Impacts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGreenhouse gasSAFEREfficient energy useEnvironmental scienceQuarter (Canadian coin)RadonGlobal warmingClimate changeNatural resource economicsEnvironmental healthEnvironmental protectionEngineeringMedicineGeographyEconomics

Résumé

récupéré en direct d'OpenAlex

If global emissions of greenhouse gases continue on their present trajectory, the Intergovernmental Panel on Climate Change (IPCC) projects that the world may be more than 4°C warmer in 2100 than in 1861-80. To hold warming to less than 2°C on average, the level often cited as the threshold of dangerous climate change, emissions must be reduced radically. For example, theWorld Bank estimated that global emissions would need to be halved by 2050, and continue falling thereafter, to reach this goal. The prospect is daunting, but there are many opportunities for intervention. Housing is a good example, as Milner and colleagues point out in the linked paper (doi:10. 1136/bmj.f7493). The sector typically contributes about a quarter of national greenhouse emissions, energy efficiency is often low, andmeasures such as insulation can improve building performance quickly. We also know that well designed interventions to make homes warmer and safer can reduce energy use and improve health. However, energy efficiency measures may damage health if not done well. Milner and colleagues point to one health risk: an increase in indoor radon levels in homes in which ventilation is reduced to control heat loss. Radon is an inert gas, present in much of the Earth’s crust, which rises into buildings through cracks and fissures in the foundations. The radioactive breakdown products of radon are potent carcinogens: the US Environmental Protection Agency estimates that they cause about 21 000 deaths a year from lung cancer in the United States. In the United Kingdom, radon is commonly detected indoors. Although concentrations in most homes are low (fewer than 1% fall above the UK action level of 200 Bq per m), this does not mean absence of risk: the dose-response relation between radon and lung cancer that best fits the epidemiological data is a straight line with no lower threshold. Because the bulk of the population is at the lower end of the exposure curve, this is where most of the burden of disease occurs. In the UK, 90% of radon attributable lung cancers are estimated to occur in homes with concentrations below 200 Bq per m. The national housing energy efficiency strategy for England aims to cut heat loss from homes by reducing uncontrolled ventilation. If this strategy was implemented, what difference would it make to radon levels? Milner and colleagues use mathematical modelling to estimate that indoor concentrations of radon would rise on average by more than 50% if English homes were made airtight enough to meet energy efficiency targets. They also estimate an extra 4700 life years lost and up to 278 additional deaths from lung cancer annually as a result. Mechanical ventilation and heat recovery systems that extract heat from air before it is passed to the outside would limit the rise in radon levels, but these systems are relatively complex and expensive. This is the first study that has tried to quantify the risks of energy efficiency measures caused by radon, and several points should be made about the calculations. The long lag between exposure to radon and incidence of lung cancer means the effects of tighter homes are projected to occur 20-30 years in the future. It is impossible to anticipate the changes in all relevant variables so far ahead. For instance, the calculations assume no variation in health status of the population or treatment effectiveness, although other scenarios are also plausible. Moreover, projections about lung cancer are highly sensitive to assumptions about the prevalence of smoking because the risks of radon and tobacco use combine in an additive fashion. Milner and colleagues’ primary model assumes no change in the prevalence of smoking in adults. But in the past 30 years the proportion of British adults who smoke has halved, and if this decline continues the radon effect will also diminish. In their sensitivity analyses, the authors estimate that if the prevalence of smoking halved again (from 21% to 10%) the number of additional deaths from lung cancer attributable to airtight homes would reduce by 44%. Milner and colleagues do not attempt a comprehensive assessment of the health consequences of reduced ventilation. Airtight homes may increase levels of other indoor pollutants, such as second hand smoke or emissions from gas cookers and heaters, as well as potentially increasing the spread of airborne infections. Better indoor climate control has benefits too. A New Zealand trial found that children with asthma living in warmer homes had fewer episodes of wheezing, fewer visits to

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,028
Score d'incertitude au seuil0,092

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,002
Science ouverte0,0010,002
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0280,007

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,060
Tête enseignante GPT0,305
Écart entre enseignants0,245 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2014
Routes d'admission1
Résumé présentoui

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