A multi-index investigation of the spatiotemporal relationships between heat and EMS calls during the 2015 pan american games in Toronto, Canada
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Résumé
Weather has a profound effect on human health and well-being, with extreme heat being one of the greatest causes of human morbidity, specifically at large gatherings such as sporting events. Various univariate, bivariate, and multivariate heat stress metrics are used to identify episodes of oppressive weather that are detrimental to human health. In an attempt to better understand weather variations in the Greater Toronto Area (GTA), Environment Canada deployed a mesonet system of 53 weather stations during the summer of 2015 during which the Pan American Games were held and where thousands of tourists and athletes visited Toronto. This research combines the mesonet data with pin-pointed EMS ambulance response data, which allows for a unique and detailed exploration of the effects of heat on human health than is traditionally possible with city-wide weather and health estimates. \n \n The goal of the current study is therefore to investigate the relationship between various heat stress metrics and heat illness in Toronto, Canada during the summer of 2015. Spatiotemporal analyses are completed through statistical comparisons between five heat stress metrics: daily temperature: maximum (Tmax) and minimum (Tmin), humidex, wet-bulb globe thermometer index, and the COMFA human energy budget (EB) model. All metrics were also compared to heat-related (HR) EMS calls for three human spatial exposure proxies (airport, averaged-city, and station-specific). With these heat metrics and the health data, the following tasks/objectives were pursued: create heat metric-based spatial maps of the GTA, determine which heat metric and spatial exposure proxy has the strongest relationship with HR EMS calls, and perform human EB case studies during the Pan American Games' sporting events at venues of escalated risk of exposure. \n \n Geospatial maps across the GTA demonstrate variations by heat metric, identifying Hamilton, Ontario as an area of escalated risk for HR illness. Additionally, statistical regression modeling of the human spatial exposure proxies and the heat stress metrics demonstrated that the more localized proxy (station-specific) and the COMFA heat metric had the strongest relationships with HR EMS calls within the city limits. A case study focused on thermal comfort at the Pan American Games' soccer venue (located in Hamilton) found that athlete and spectator EBs routinely reached the `dangerous' level of experiencing heat stress, which aligned primarily with absorbed radiation and metabolic activity values. \n \n These results provide new information on the potential benefits and uses of mesonet systems during large-scale events specific to extreme heat assessments. Findings improve our understanding of the variability among common heat metrics in relation to intra-urban heat-health burden to enhance Toronto's resilience to extreme heat. This information can be used to inform public health officials and/or urban planners alike of areas of increased heat exposure at a finer intra-urban scale, thereby creating awareness of the most crucial areas and times in which to implement corrective bioclimatic design and/or plan EMS dispatches/resources to on days of excessive heat.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 découle