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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Health Securityarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Health Security
Article . 2016 . Peer-reviewed
License: Mary Ann Liebert TDM
Data sources: Crossref
Health Security
Article . 2017
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Preparing for Extreme Heat Events: Practices in Identifying Mortality

Authors: Sabrina, McCormick; Jaime, Madrigano; Emma, Zinsmeister;

Preparing for Extreme Heat Events: Practices in Identifying Mortality

Abstract

Climate change is increasing the frequency and severity of extreme heat events. These events affect cities in increasingly abrupt and catastrophic ways; yet, many of the deaths caused by exposure to heat have gone unnoticed or are inaccurately identified, resulting in a lack of urgency in addressing this issue. We aim to address this under-identification of deaths from heat waves in order to better assess heat risk. We investigated death records in New York City from 2010 to 2012 to identify characteristics that vary between deaths officially categorized as caused by heat wave exposure (oHDs) and those possibly caused by heat (pHDs). We found that oHDs were more often black and of a younger age than would typically be expected. We also found that there was a lack of evidence to substantiate that an oHD had occurred, using the NYC official criteria. We conclude that deaths from heat waves are not being accurately recorded, leading to a mis-estimation. Training regarding the collection and interpretation of evidence may improve preparedness for heat events.

Keywords

Male, Extreme Heat, Disaster Planning, Middle Aged, Death Certificates, Humans, Regression Analysis, Female, New York City, Cities, Mortality, Aged

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    popularity
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    influence
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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