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

Sarah B. Henderson, Jillian S. Gauld, Stephen A. Rauch, Kathleen E. McLean, Nikolas Krstic, David Hondula, Tom Kosatsky

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Background: Most excess deaths that occur during extreme hot weather events do not have natural heat recorded as an underlying or contributing cause. This study aims to identify the specific individuals who died because of hot weather using only secondary data. A novel approach was developed in which the expected number of deaths was repeatedly sampled from all deaths that occurred during a hot weather event, and compared with deaths during a control period. The deaths were compared with respect to five factors known to be associated with hot weather mortality. Individuals were ranked by their presence in significant models over 100 trials of 10,000 repetitions. Those with the highest rankings were identified as probable excess deaths. Sensitivity analyses were performed on a range of model combinations. These methods were applied to a 2009 hot weather event in greater Vancouver, Canada. Results: The excess deaths identified were sensitive to differences in model combinations, particularly between univariate and multivariate approaches. One multivariate and one univariate combination were chosen as the best models for further analyses. The individuals identified by multiple combinations suggest that marginalized populations in greater Vancouver are at higher risk of death during hot weather. Conclusions: This study proposes novel methods for classifying specific deaths as expected or excess during a hot weather event. Further work is needed to evaluate performance of the methods in simulation studies and against clinically identified cases. If confirmed, these methods could be applied to a wide range of populations and events of interest.

Original languageEnglish (US)
Pages (from-to)1-10
Number of pages10
JournalEnvironmental Health: A Global Access Science Source
Volume15
Issue number1
DOIs
StatePublished - Nov 15 2016

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Weather
Population
Canada
Hot Temperature
Mortality

Keywords

  • Administrative data
  • Case-control
  • Extreme hot weather
  • Population mortality
  • Public health
  • Vulnerability

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

Cite this

A proposed case-control framework to probabilistically classify individual deaths as expected or excess during extreme hot weather events. / Henderson, Sarah B.; Gauld, Jillian S.; Rauch, Stephen A.; McLean, Kathleen E.; Krstic, Nikolas; Hondula, David; Kosatsky, Tom.

In: Environmental Health: A Global Access Science Source, Vol. 15, No. 1, 15.11.2016, p. 1-10.

Research output: Contribution to journalArticle

Henderson, Sarah B. ; Gauld, Jillian S. ; Rauch, Stephen A. ; McLean, Kathleen E. ; Krstic, Nikolas ; Hondula, David ; Kosatsky, Tom. / A proposed case-control framework to probabilistically classify individual deaths as expected or excess during extreme hot weather events. In: Environmental Health: A Global Access Science Source. 2016 ; Vol. 15, No. 1. pp. 1-10.
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