Will Global Climate Change Reduce Thermal Stress in the Netherlands?
Notice bibliographique
Résumé
To the Editor: In the Netherlands, annual cold-related mortality is higher than heat-related mortality. The projected change in climate will influence both. 1 We analyzed the mortality changes related to the gradual influences of anthropogenic climate changes on health risk. As an anthropogenic climate change is likely to change the frequency or severity of heat waves and cold spells, we specifically looked at the effects of climate change on marked short-term fluctuations in weather. In an earlier paper, 2 we described the daily numbers of deaths due to all causes and to selected causes (malignant neoplasms, respiratory disease, and cardiovascular disease) in relation to daily average temperature in the Netherlands from 1979 to 1997. We found that for each degree Celsius increase above the optimum temperature, mortality increased by 0.5% for malignant neoplasms, 1.9% for cardiovascular disease, 12.8% for respiratory diseases and 2.7% for total mortality. (Optimum temperature was 15.5°C for malignant neoplasms and 16.5°C for the other causes of death.) For temperatures below the optimum, mortality in the same categories decreased by 0.2%, 1.7%, 5.2%, and 1.4% for each degree Celsius increase. 2 In addition, there were substantial increases in mortality during both the cold spells and heat waves in the study period. 2 Average total excess mortality during the heat waves was 389.8 per heat wave (or 39.8 deaths per heat wave day), with death rates in the elderly and due to respiratory disease most affected. The average excess mortality during the cold spells was 718.5 (or 46.6 deaths per cold spell day), which was mostly attributable to the increase in cardiovascular mortality among the elderly. The results concerning the forward displacement of deaths due to heat waves were not conclusive. We found no cold-induced forward displacement of deaths. 2 We have estimated future changes in mortality rates due to global warming by combining these observed mortality risks accompanying temperature change with the projected changes in temperature estimated by nine General Circulation Models (GCMs). GCMs are powerful tools that provide physically realistic estimates of future climate. 3 As expected, “cold” winters are estimated to become much rarer with global warming, and “hot” summers become much more frequent. Modifying the temperature in the study period according to the GCMs for the Intergovernmental Panel on Climate Change (IPCC) 550 ppm stabilization scenario (eg, approximate doubling of the pre-industrial level of greenhouse gases), the frequency of a cold spell would change from one in 4 years in the period 1979–1997 to one in 6 years in 2050. The number of heat waves would increase from one in every 3 years to one every 2 years. The extreme heat would also last for more consecutive days. Looking at changes in temperatures toward the year 2050, we see that in the Netherlands a continuing decreasing trend in winter mortality is more pronounced than the increasing excess summer mortality rates. Net yearly decreases in mortality rates vary between 0.9 and 1.6% for cardiovascular mortality, between 1.6 and 3.9% for respiratory mortality, and between 0.6 and 1.1% for total mortality (Figure 1). Mortality changes due to malignant neoplasm are relatively insensitive to temperature changes. In absolute numbers, total mortality may decrease approximately 1100 per year (on a total population of about 16 million people). The same trend towards a reduction in deaths with rising temperature is seen in scenarios where the concentration of greenhouse gasses is stabilized around 350 ppm or 750 ppm. FIGURE 1: Relative changes in Dutch mortality rates associated with changes in temperatures for deaths due to malignant neoplasms (MN), cardiovascular diseases (CVD), respiratory diseases (RD) and total mortality between the years 1979–1997 and 2050, as simulated according to the results of nine GCMs (IPCC 550 ppm stabilization scenario: BMRC: Bureau of Meteorology Research Center; CCC: Canadian Centre for Climate Research; GFDL: Geophysics Fluid Dynamics Laboratory; GISS: Goddard Institute for Space Studies; HEND: Henderson-Sellers; UIUC: University of Illinois at Urbana-Champaign; UKMO: United Kingdom Meteorological Office; WANG: W-C. Wang et al.; WASH: Washington and Meehl – see Reference No. 3 for more details) .These results shed light on possible changes in mortality related to the global warming predicted by several climate models. Although global climate change is likely to be accompanied by an increase in the frequency and intensity of heat waves, winters will likely be milder as well. Therefore, it is possible that in many temperate or cold regions, including the Netherlands, a decrease in cold-related mortality would counterbalance the increasing rates of heat-related mortality. However, the overall balance would also depend on adaptive responses (eg, air-conditioning, improved housing) and future health levels. Pim Martens Maud Huynen
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| Bras | Catégories | Devis d'étude | Confiance |
|---|---|---|---|
| gemma | aucune catégorie Domaine: non disponible · Genre: Éditorial Porte sur le système de recherche canadien: non · Porte sur un sujet canadien: non | Sans objet | low |
| gpt | aucune catégorie Domaine: non disponible · Genre: Commentaire Porte sur le système de recherche canadien: non · Porte sur un sujet canadien: non | Sans objet | medium |
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,005 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,002 |
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.
score_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 découleClassification
machine, non validéeÉtiqueté directement par 2 modèles lisant le dossier complet.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».