Literature DB >> 2795805

Geographic distribution of heat-related deaths among elderly persons. Use of county-level dot maps for injury surveillance and epidemiologic research.

B F Martinez1, J L Annest, E M Kilbourne, M L Kirk, K J Lui, S M Smith.   

Abstract

Mapping is a useful tool for initiating data analysis of relatively infrequent injury events and can lead to interesting hypotheses that can then be tested in further epidemiologic studies. From national death certificate data for the years 1979 through 1985, we made dot maps of fatalities due to excessive heat (International Classification of Diseases code E900) among persons 65 years or older. The maps show clusterings of deaths, particularly in the central, south central, and southeastern sections of the United States, to an extent not fully explained by the population density or temperature extremes. The counties principally affected were highly urbanized and, for races other than white, were relatively poor. Our maps identify counties in which heat-related health problems in the elderly are particularly severe. Public health officials in high-risk areas should undertake heat-wave contingency planning and physicians practicing in such areas should familiarize themselves with the treatment of the spectrum of heat-related illnesses.

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Year:  1989        PMID: 2795805

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  5 in total

1.  The rate and risk of heat-related illness in hospital emergency departments during the 1995 Chicago heat disaster.

Authors:  R J Rydman; D P Rumoro; J C Silva; T M Hogan; L M Kampe
Journal:  J Med Syst       Date:  1999-02       Impact factor: 4.460

2.  Epidemiological study of brucellosis in eight Greek villages using a computerised mapping programme.

Authors:  C Hadjichristodoulou; C Papatheodorou; E Soteriades; G Panagakos; I Kastritis; G Goutziana; E Charvalos; Y Tselentis
Journal:  Eur J Epidemiol       Date:  1999-08       Impact factor: 8.082

3.  The use of a complex thermohygrometric index in predicting adverse health effects in Athens.

Authors:  I G Tselepidaki; D N Asimakopoulos; K Katsouyanni; C Moustris; G Touloumi; A Pantazopoulou
Journal:  Int J Biometeorol       Date:  1995-05       Impact factor: 3.787

4.  Communicating infectious disease prevalence through graphics: Results from an international survey.

Authors:  Angela Fagerlin; Thomas S Valley; Aaron M Scherer; Megan Knaus; Enny Das; Brian J Zikmund-Fisher
Journal:  Vaccine       Date:  2017-06-12       Impact factor: 3.641

5.  Mapping community determinants of heat vulnerability.

Authors:  Colleen E Reid; Marie S O'Neill; Carina J Gronlund; Shannon J Brines; Daniel G Brown; Ana V Diez-Roux; Joel Schwartz
Journal:  Environ Health Perspect       Date:  2009-06-10       Impact factor: 9.031

  5 in total

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