BACKGROUND: Periods of unusually hot weather, especially in temperate climates, carry with them a burden of morbidity and mortality, particularly in urban areas. With lessening debate on its origins, and signs of global warming already apparent, it is becoming imperative for public health practitioners to recognize and predict the risks of "heat waves", and to develop protective community responses to them. This study makes use of historical data and a methodology developed previously to examine the pattern of hot weather experienced over the last five decades in the City of Toronto, and to assess the associated burden of mortality. METHODS: Synoptic classification of air masses based on meteorological data for Toronto was used, to assign the annual mean burden of illness (in terms of elevated mortality) associated with hot weather and air pollution. Then, coefficients relating daily mortality risk to historical daily weather and air quality data were determined with a model system that (for each air mass) assessed the factors that contributed to day-to-day variability in mortality. RESULTS: Over the period of study, there were 120 (95% CI: 105-135) heat-related deaths on average per year, with great variability from year to year, reflecting the variability of hot weather. Mortality was greatest in July and August, when the greatest number of multi-day heat episodes occurred. Furthermore, the longer the episode, the greater was the daily risk for mortality. INTERPRETATION: The method can be used to forecast the risk of heat-related mortality, and to facilitate the development of public health responses to mitigate that risk.
BACKGROUND: Periods of unusually hot weather, especially in temperate climates, carry with them a burden of morbidity and mortality, particularly in urban areas. With lessening debate on its origins, and signs of global warming already apparent, it is becoming imperative for public health practitioners to recognize and predict the risks of "heat waves", and to develop protective community responses to them. This study makes use of historical data and a methodology developed previously to examine the pattern of hot weather experienced over the last five decades in the City of Toronto, and to assess the associated burden of mortality. METHODS: Synoptic classification of air masses based on meteorological data for Toronto was used, to assign the annual mean burden of illness (in terms of elevated mortality) associated with hot weather and air pollution. Then, coefficients relating daily mortality risk to historical daily weather and air quality data were determined with a model system that (for each air mass) assessed the factors that contributed to day-to-day variability in mortality. RESULTS: Over the period of study, there were 120 (95% CI: 105-135) heat-related deaths on average per year, with great variability from year to year, reflecting the variability of hot weather. Mortality was greatest in July and August, when the greatest number of multi-day heat episodes occurred. Furthermore, the longer the episode, the greater was the daily risk for mortality. INTERPRETATION: The method can be used to forecast the risk of heat-related mortality, and to facilitate the development of public health responses to mitigate that risk.
Authors: Kate L Bassil; Donald C Cole; Rahim Moineddin; Effie Gournis; Brian Schwartz; Alan M Craig; W Y Wendy Lou; Elizabeth Rea Journal: Can J Public Health Date: 2008 Jul-Aug
Authors: Dave Henderson; Louise Aubin; Kevin Behan; Hong Chen; Helen Doyle; Stephanie Gower; Melissa MacDonald; Carol Mee; Gregory R A Richardson; Greg Rochon; Mira Shnabel; Jay Storfer; Abderrahmane Yagouti; Anna Yusa Journal: Can J Public Health Date: 2020-06-10