Literature DB >> 22905644

A data-driven approach to setting trigger temperatures for heat health emergencies.

Sarah B Henderson1, Tom Kosatsky.   

Abstract

OBJECTIVES: Unprecedentedly hot weather during the summer of 2009 resulted in considerable excess mortality in Greater Vancouver, Canada. Local municipalities and public health authorities requested a rapid, evidence-based recommendation for the temperature above which emergency action plans should be triggered to reduce potentially-avoidable mortality during future events.
METHODS: Candidate trigger temperatures were identified by examining the coincidence of extreme mortality days with extreme temperature days, using temperatures observed at two regional airports. Days when the two coincided between 2005 and 2009 were defined as historical heat health emergencies. Forecast and observed temperatures were combined in multiple early warning scenarios to retrospectively test the capacity to predict those heat health emergency dates, and results were expressed in terms of true positive (emergency predicted when one occurred) and false positive (emergency predicted when one did not occur) triggers.
RESULTS: Extreme mortality was observed when the 2-day average of maximum temperatures was > or =31 degrees C at the coastal airport and > or =36 degrees C at the inland airport. When observed and forecast temperatures were combined in different early warning scenarios, all historical heat health emergencies were correctly identified in four of twelve cases, with a minimum of two false positive triggers.
CONCLUSIONS: A heat health emergency should be triggered for Greater Vancouver when the average of the current day's 14:00 observed temperature and the next day's forecast high is > or =29 degrees C on the coast and/or > or =34 degrees C inland. This condition provided 19 hours of lead time for preparation and was clearly understood by emergency responders and other users.

Mesh:

Year:  2012        PMID: 22905644      PMCID: PMC6973770     

Source DB:  PubMed          Journal:  Can J Public Health        ISSN: 0008-4263


  6 in total

1.  Moscow smog and nationwide heat wave claim thousands of lives.

Authors:  Andrew Osborn
Journal:  BMJ       Date:  2010-08-10

2.  Heat-health warning systems: a comparison of the predictive capacity of different approaches to identifying dangerously hot days.

Authors:  Shakoor Hajat; Scott C Sheridan; Michael J Allen; Mathilde Pascal; Karine Laaidi; Abderrahmane Yagouti; Ugis Bickis; Aurelio Tobias; Denis Bourque; Ben G Armstrong; Tom Kosatsky
Journal:  Am J Public Health       Date:  2010-04-15       Impact factor: 9.308

3.  Mortality in Chicago attributed to the July 1995 heat wave.

Authors:  S Whitman; G Good; E R Donoghue; N Benbow; W Shou; S Mou
Journal:  Am J Public Health       Date:  1997-09       Impact factor: 9.308

4.  Shifts in mortality during a hot weather event in Vancouver, British Columbia: rapid assessment with case-only analysis.

Authors:  Tom Kosatsky; Sarah B Henderson; Sue L Pollock
Journal:  Am J Public Health       Date:  2012-10-18       Impact factor: 9.308

5.  Excess mortality related to the August 2003 heat wave in France.

Authors:  A Fouillet; G Rey; F Laurent; G Pavillon; S Bellec; C Guihenneuc-Jouyaux; J Clavel; E Jougla; Denis Hémon
Journal:  Int Arch Occup Environ Health       Date:  2006-03-08       Impact factor: 3.015

6.  Extreme temperatures and mortality: assessing effect modification by personal characteristics and specific cause of death in a multi-city case-only analysis.

Authors:  Mercedes Medina-Ramón; Antonella Zanobetti; David Paul Cavanagh; Joel Schwartz
Journal:  Environ Health Perspect       Date:  2006-09       Impact factor: 9.031

  6 in total
  8 in total

1.  A proposed case-control framework to probabilistically classify individual deaths as expected or excess during extreme hot weather events.

Authors:  Sarah B Henderson; Jillian S Gauld; Stephen A Rauch; Kathleen E McLean; Nikolas Krstic; David M Hondula; Tom Kosatsky
Journal:  Environ Health       Date:  2016-11-15       Impact factor: 5.984

2.  Establishing Heat Alert Thresholds for the Varied Climatic Regions of British Columbia, Canada.

Authors:  Kathleen E McLean; Rebecca Stranberg; Melissa MacDonald; Gregory R A Richardson; Tom Kosatsky; Sarah B Henderson
Journal:  Int J Environ Res Public Health       Date:  2018-09-19       Impact factor: 3.390

3.  Analysis of community deaths during the catastrophic 2021 heat dome: Early evidence to inform the public health response during subsequent events in greater Vancouver, Canada.

Authors:  Sarah B Henderson; Kathleen E McLean; Michael J Lee; Tom Kosatsky
Journal:  Environ Epidemiol       Date:  2022-01-19

4.  Indoor Temperatures in the 2018 Heat Wave in Quebec, Canada: Exploratory Study Using Ecobee Smart Thermostats.

Authors:  Arlene Oetomo; Niloofar Jalali; Paula Dornhofer Paro Costa; Plinio Pelegrini Morita
Journal:  JMIR Form Res       Date:  2022-05-12

Review 5.  An evidence-based public health approach to climate change adaptation.

Authors:  Jeremy J Hess; Millicent Eidson; Jennifer E Tlumak; Kristin K Raab; George Luber
Journal:  Environ Health Perspect       Date:  2014-07-08       Impact factor: 9.031

6.  Using forecast and observed weather data to assess performance of forecast products in identifying heat waves and estimating heat wave effects on mortality.

Authors:  Kai Zhang; Yeh-Hsin Chen; Joel D Schwartz; Richard B Rood; Marie S O'Neill
Journal:  Environ Health Perspect       Date:  2014-05-09       Impact factor: 9.031

7.  Multiple Trigger Points for Quantifying Heat-Health Impacts: New Evidence from a Hot Climate.

Authors:  Diana B Petitti; David M Hondula; Shuo Yang; Sharon L Harlan; Gerardo Chowell
Journal:  Environ Health Perspect       Date:  2015-07-28       Impact factor: 9.031

8.  Delineation of Spatial Variability in the Temperature-Mortality Relationship on Extremely Hot Days in Greater Vancouver, Canada.

Authors:  Hung Chak Ho; Anders Knudby; Blake Byron Walker; Sarah B Henderson
Journal:  Environ Health Perspect       Date:  2016-06-27       Impact factor: 9.031

  8 in total

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