2012
DOI: 10.1289/ehp.1103766
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Evaluation of a Heat Vulnerability Index on Abnormally Hot Days: An Environmental Public Health Tracking Study

Abstract: Background: Extreme hot weather conditions have been associated with increased morbidity and mortality, but risks are not evenly distributed throughout the population. Previously, a heat vulnerability index (HVI) was created to geographically locate populations with increased vulnerability to heat in metropolitan areas throughout the United States.Objectives: We sought to determine whether areas with higher heat vulnerability, as characterized by the HVI, experienced higher rates of morbidity and mortality on … Show more

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Cited by 144 publications
(114 citation statements)
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“…Research, however, finds non-linear relationships between cold and mortality such that extreme cold events exert the largest IHD and stroke mortality response (Patz et al, 2000). Consistent with this logic and previous climatic research (Reid et al, 2012), we classified extreme cold days as those that fell below the lowest 5 th percentile of the average daily Since the risk of death reportedly remains elevated for one week after extreme cold (Donaldson and Keatinge, 1997;Hong et al, 2003), we defined a daily binary indicator as "1" if at least one extreme cold day occurred in the past six days. This coding yields a sequence of days for which the indicator is "1".…”
Section: Approachsupporting
confidence: 73%
“…Research, however, finds non-linear relationships between cold and mortality such that extreme cold events exert the largest IHD and stroke mortality response (Patz et al, 2000). Consistent with this logic and previous climatic research (Reid et al, 2012), we classified extreme cold days as those that fell below the lowest 5 th percentile of the average daily Since the risk of death reportedly remains elevated for one week after extreme cold (Donaldson and Keatinge, 1997;Hong et al, 2003), we defined a daily binary indicator as "1" if at least one extreme cold day occurred in the past six days. This coding yields a sequence of days for which the indicator is "1".…”
Section: Approachsupporting
confidence: 73%
“…Its use requires an analysis of its limitations and potentialities, but its application allows the interpretation of results comparatively with the trend analysis of a social reality, such as the follow-up of dimensions of individuals' life course, the living conditions at home, and residence arrangements. (2)(3)(4) Considering the specificity of the group studied, a priori, sentinel events presented characteristics of individual vulnerability: unemployment; low educational level; daily use of drugs and illegal maneuvers for their acquisition. However, three situations demonstrate the influence from the individual (users) to the collective (families): addictive behavior for more than 20 years, above the national average of 13 years; (7) cycle of abstinence and relapses, and victims of various episodes of physical aggression and traffic accidents.…”
Section: Discussionmentioning
confidence: 99%
“…The concept of vulnerability is delimited by dynamic and multigenerational social processes involving at least three dimensions, namely: exposure to risk trajectories; internal and external reaction capacities; and adaptation possibilities based on both the intensity of the risk and the resilience of people. (1)(2)(3) Considering the concern of not limiting the evaluation of vulnerability to the analysis of income, in the decade of 1990, several indicators were statistically constructed with the objective of understanding the social reality through a single measure that combined multiple measurements of its quantifiable analytical dimensions. These instruments are facilitators for policy-making, decision-making in public spheres, and for the negotiation of indicators of national and global public policy agendas.…”
Section: Introductionmentioning
confidence: 99%
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“…Heat vulnerability indices (HVIs) are often mapped to display spatial patterns of vulnerability (Harlan et al 2013, Reid et al 2009, Johnson et al 2012. Following Reid et al (2009), we calculated and mapped an HVI comprised of individual-and community-level characteristics that contribute to heat-related vulnerability (Reid et al 2012). Data were obtained from the 2000 U.S. Census (www.census.gov) and aggregated at the census tract level.…”
mentioning
confidence: 99%