Skip to main content

Heat Exposure and the General Public: Health Impacts, Risk Communication, and Mitigation Measures

  • Chapter
  • First Online:
Human Health and Physical Activity During Heat Exposure

Part of the book series: SpringerBriefs in Medical Earth Sciences ((BRIEFSMEEASC))

Abstract

Extreme heat is the number one cause for weather-related death and poses a serious public health problem. Sensitivity to heat, however, may vary based on sociodemographic factors such as age, health status, availability of air-conditioning, and/or one’s degree of exposure to oppressive heat. To mitigate these heat hazards, various governmental agencies such as the National Weather Service have developed heat-health warning systems to communicate the dangers of heat and inform individuals of the appropriate actions to take during extreme heat conditions. Studies of these warning systems suggest that these heat-related warnings often fail to motivate behavior change, with individual differences in risk perception and inconsistent messaging between warning systems being two prominent factors in the literature. To gain greater insight into decision-making processes and behavior change associated with heat-health warning systems, future research should utilize social and behavioral theoretical frameworks.

The original version of this chapter was revised. An erratum to this chapter can be found at https://doi.org/10.1007/978-3-319-75889-3_9

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Change history

  • 10 July 2018

    The original version of the book had a typographical error that resulted in ‘Heath’ appearing instead of ‘Health’ and these changes have been updated in the Front matter and in the Title of Chapter 3 and Affiliation Detail in Chapter 4.

References

  1. Abrahamson V, Wolf J, Lorenzoni I, Fenn B, Kovats S, Wilkinson P, Adger WN, Raine R (2008) Perceptions of heatwave risks to health: interview-based study of older people in London and Norwich, UK. J Public Health 31(1):119–126

    Article  Google Scholar 

  2. Akompab DA, Bi P, Williams S, Grant J, Walker IA, Augoustinos M (2013) Heat waves and climate change: applying the health belief model to identify predictors of risk perception and adaptive behaviours in Adelaide, Australia. Int J Environ Res Public Health 10(6):2164–2184

    Article  Google Scholar 

  3. Alberini A, Gans W, Alhassan M (2011) Individual and public-program adaptation: coping with heat waves in five cities in Canada. Int J Environ Res Public Health 8(12):4679–4701

    Article  Google Scholar 

  4. Anderson BG, Bell ML (2009) Weather-related mortality: how heat, cold, and heat waves affect mortality in the United States. Epidemiology 20:205–213

    Article  Google Scholar 

  5. Bao J, Li X, Yu C (2015) The construction and validation of the heat vulnerability index, a review. Int J Environ Res Public Health 12:7220–7234

    Article  CAS  Google Scholar 

  6. Barnett AG (2007) Temperature and cardiovascular deaths in the US elderly: changes over time. Epidemiology 18(3):369–372

    Article  Google Scholar 

  7. Bartlett S (2008) Climate change and urban children: impacts and implications for adaptation in low-and middle-income countries. EnvironUrban 20:501–519

    Google Scholar 

  8. Bassil KL, Cole DC (2010) Effectiveness of public health interventions in reducing morbidity and mortality during heat episodes: a structured review. Int J Environ Res Public Health 7(3):991–1001

    Article  Google Scholar 

  9. Basu R (2009) High ambient temperature and mortality: a review of epidemiologic studies from 2001 to 2008. Environ Health 8(1):40

    Article  Google Scholar 

  10. Benmarhnia T, Alexander S, Price K, Smargiassi A, King N, & Kaufman JS (2017) The heterogeneity of vulnerability in public health: a heat wave action plan as a case study. Critical Public Health, 1–7

    Google Scholar 

  11. Berisha V, Hondula D, Roach M, White JR, McKinney B, Bentz D et al (2017) Assessing adaptation strategies for extreme heat: a public health evaluation of cooling centers in Maricopa County, Arizona. Weather Climate Soc 9(1):71–80

    Article  Google Scholar 

  12. Berry P, Richardson GR (2016) Approaches for building community resilience to extreme heat. In: Extreme weather, health, and communities. Springer International Publishing, Cham, pp 351–388

    Chapter  Google Scholar 

  13. Bobb JE, Peng RD, Bell ML, Dominici F (2014) Heat-related mortality and adaptation to heat in the United States. Envon Health Perspect 122:811–816

    Article  Google Scholar 

  14. Bostrom A, Morgan M, Fischhoff B et al (1994) What do people know about climate change? 1. Mental models. Risk Anal 14:959–970. https://doi.org/10.1111/j.1539-6924.1994.tb00065.x

    Article  Google Scholar 

  15. Bostrom A, Morss R, Lazo J (2016) A mental models study of hurricane forecast and warning production, interpretation and decision making. Wea Clim Soc 8:111–129. https://doi.org/10.1175/WCAS-D-15-0033.1. [Published Online First: 22 November 2015]

    Article  Google Scholar 

  16. Braga AL, Zanobetti A, Schwartz J (2001) The time course of weather-related deaths. Epidemiology 12(6):662–667

    Article  CAS  Google Scholar 

  17. Chestnut LG, Breffle WS, Smith JB, Kalkstein LS (1998) Analysis of differences in hot-weather-related mortality across 44 US metropolitan areas. Environ Sci Pol 1(1):59–70

    Article  Google Scholar 

  18. Chow WTL, Chuang WC, Gober P (2012) Vulnerability to extreme heat in metropolitan phoenix: spatial, temporal, and demographic dimensions. Prof Geogr 64:286–302

    Article  Google Scholar 

  19. Chowdhury PD, Haque CE, Driedger SM (2012) Public versus expert knowledge and perception of climate change-induced heat wave risk: a modified mental model approach. J Risk Res 15(2):149–168

    Article  Google Scholar 

  20. Chuang WC, Gober P (2015) Predicting hospitalization for heat-related illness at the census tract level: accuracy of a generic heat vulnerability index in Phoenix, Arizona (USA). Environ Health Perspect 123:606–612

    Article  Google Scholar 

  21. Conti S, Meli P, Minelli G, Solimini R, Toccaceli V, Vichi M et al (2005) Epidemiologic study of mortality during the summer 2003 heat wave in Italy. Environ Res 98(3):390–399

    Article  CAS  Google Scholar 

  22. Curriero FC, Heiner KS, Samet JM, Zeger SL, Strug L, Patz JA (2002) Temperature and mortality in 11 cities of the eastern United States. J Epidemiol 155(1):80–87

    Article  Google Scholar 

  23. Davis RE, Knappenberger PC, Michaels PJ, Novicoff WM (2003) Changing heat-related mortality in the United States. Environ Health Perspect 111:1712–1718

    Article  Google Scholar 

  24. Debbage N, Shepherd JM (2015) The urban heat island effect and city contiguity. Comput Environ Urban Syst 54:181–194

    Article  Google Scholar 

  25. DiLiberto T (2015) India heat wave kills thousands. NOAA: Available at: https://www.climate.gov/news-features/event-tracker/india-heat-wave-kills-thousands (Accessed 21 July 2017)

  26. Foroni M, Salvioli G, Rielli R, Goldoni CA, Orlandi G, Sajani SZ et al (2007) A retrospective study on heat-related mortality in an elderly population during the 2003 heat wave in Modena, Italy: the Argento project. J Gerontol A Biol Sci Med Sci 62(6):647–651

    Article  Google Scholar 

  27. Fouillet A, Rey G, Laurent F, Pavillon G, Bellec S, Ghihenneuc-Jouyaux C et al (2006) Excess mortality related to the August 2003 heat wave in France. Int Arch Occup Environ Health 80(1):16–24

    Article  CAS  Google Scholar 

  28. Ebi KL, Paulson JA (2007) Climate change and children. Pediatr Clin NAm 54:213–226

    Article  Google Scholar 

  29. Fuhrmann C (2017) Personal monitoring of occupational heat exposure among grounds management workers: Preliminary results from three university campuses, Eighth conference on environment and health, Seattle, WA, 24 Jan 2017

    Google Scholar 

  30. Gabriel KM, Endlicher WR (2011) Urban and rural mortality rates during heat waves in berlin and Brandenburg, Germany. Environ Pollut 159:2044–2050

    Article  CAS  Google Scholar 

  31. Green RS, Basu R, Malig B, Broadwin R, Kim JJ, Ostro B (2010) The effect of temperature on hospital admissions in nine California counties. Int J Public Health 55:113–121

    Article  Google Scholar 

  32. Gronlund CJ (2014) Racial and socioeconomic disparities in heat-related health effects and their mechanisms: a review. Curr Epidemiol Rep 1(3):165–173

    Article  Google Scholar 

  33. Gosling SN, Bryce EK, Dixon PG, Gabriel KM, Gosling EY, Hanes JM et al (2014) A glossary for biometeorology. Int J Biometeorol 58(2):277–308

    Article  Google Scholar 

  34. Grothmann T, Leitner M, Glas N, Prutsch A (2017) A five-steps methodology to design communication formats that can contribute to behavior change: the example of communication for health-protective behavior among elderly during heat waves. SAGE Open 7(1):1–15

    Article  Google Scholar 

  35. Guo B, Wang Z, Yu Z, Wang Y, Yen NY, Huang R, Zhou X (2015) Mobile crowd sensing and computing: the review of an emerging human-powered sensing paradigm. ACM Computing Surveys (CSUR) 48(1):7

    Article  Google Scholar 

  36. Hajat S, Kovats RS, Lachowycz K (2007) Heat-related and cold-related deaths in England and Wales: who is at risk? Occup Environ Med 64(2):93–100

    Article  CAS  Google Scholar 

  37. Harlan SL, Brazel AJ, Prashad L, Stefanov WL, Larsen L (2006) Neighborhood microclimates and vulnerability to heat stress. Soc Sci Med 63:2847

    Article  Google Scholar 

  38. Harlan SL, Declet-Barreto JH, Stefanov WL, Petitti DB (2013) Neighborhood effects on heat deaths: social and environmental predictors of vulnerability in Maricopa County, Arizona. Environ Health Perspect 121:197–204

    Article  Google Scholar 

  39. Hawkins MD, Brown V, Ferrell J (2017) Assessment of NOAA National Weather Service methods to warn for extreme heat events. Weather Climate Soc 9(1):5–13. https://doi.org/10.1175/WCAS-D-15-0037.1

    Article  Google Scholar 

  40. Hayden MH, Brenkert-Smith H, Wilhelmi OV (2011) Differential adaptive capacity to extreme heat: a Phoenix, Arizona, case study. Weather Climate Soc 3(4):269–280

    Article  Google Scholar 

  41. Henderson SB, Wan V, Kosatsky T (2013) Differences in heat-related mortality across four ecological regions with diverse urban, rural, and remote populations in British Columbia. Canada Health Place 23:48–53

    Article  Google Scholar 

  42. Isaksen TB, Yost MG, Hom EK, Ren Y, Lyons H, Fenske RA (2015) Increased hospital admissions associated with extreme-heat exposure in King County, Washington, 1990-2010. Rev Environ Health 30:51–64. https://doi.org/10.1515/reveh-2014-0050

    Article  Google Scholar 

  43. Johnson DP, Wilson JS (2009) The socio-spatial dynamics of extreme urban heat events: the case of heat-related deaths in Philadelphia. Appl Geogr 29(3):419–434

    Article  Google Scholar 

  44. Johnson DP, Stanforth A, Lulla V, Luber G (2012) Developing an applied extreme heat vulnerability index utilizing socioeconomic and environmental data. Appl Geogr 35:23–31

    Article  Google Scholar 

  45. Kalkstein AJ, Sheridan SC (2007) The social impacts of the heat–health watch/warning system in Phoenix, Arizona: assessing the perceived risk and response of the public. Int J Biometeorol 52(1):43–55

    Article  Google Scholar 

  46. Kalkstein LS, Davis RE (1989) Weather and human mortality: an evaluation of demographic and interregional responses in the United States. Ann Assoc Amer Geogr 79:44–64

    Article  Google Scholar 

  47. Kilbourne EM (1999) The spectrum of illness during heat waves. Am J. Prev Med 16:359–360

    Article  CAS  Google Scholar 

  48. Klinenberg E (2003) Review of heat wave: a social autopsy of disaster in Chicago. N Engl J Med 348(7):666–667

    Article  Google Scholar 

  49. Knowlton K et al (2009) The 2006 California heat wave: impacts on hospitalizations and emergency department visits. Environ Health Perspect 117:61–67

    Article  Google Scholar 

  50. Kovats RS, Hajat S, Wilkinson P (2004) Contrasting patterns of mortality and hospital admissions during hot weather and heat waves in greater London, UK. Occup Environ Med 61:893–898

    Article  CAS  Google Scholar 

  51. Kravchenko J et al (2013) Minimization of heat wave morbidity and mortality. Am J PrevMed 44:274–282

    Article  Google Scholar 

  52. Kuras ER, Hondula DM, Brown-Saracino J (2015) Heterogeneity in individually experienced temperatures (IETs) within an urban neighborhood: insights from a new approach to measuring heat exposure. Int J Biometeorol 59(10):1363–1372

    Article  CAS  Google Scholar 

  53. Kuras ER, Richardson MB, Calkins MM, Ebi KL, Hess JJ, Kintziger KW, Jagger MA, Middel A, Scott AA, Spector JT, Uejio CK, Vanos JK, Zaitchik BF, Gohlke JM, Hondula DM (2017) Opportunities and challenges for personal heat exposure research. Environ Health Perspect 125(8):085001. https://doi.org/10.1289/EHP556

    Article  Google Scholar 

  54. Lam HC, Li AM, Chan EY, Goggins WB 3rd (2016) The short-term association between asthma hospitalisations, ambient temperature, other meteorological factors and air pollutants in Hong Kong: a time-series study. Thorax 71(12):1097–1109. https://doi.org/10.1136/thoraxjnl-2015-208054

    Article  Google Scholar 

  55. Lane K, Wheeler K, Charles-Guzman K, Ahmed M, Blum M, Gregory K, Graber N, Clark N, Matte T (2014) Extreme heat awareness and protective behaviors in New York City. J Urban Health 91(3):403–414

    Article  Google Scholar 

  56. Li D, Bou-Zeid E (2013) Synergistic interactions between urban heat islands and heat waves: the impact in cities is larger than the sum of its parts. J Appl Meteorol Climatol 52(9):2051–2064

    Article  Google Scholar 

  57. Liang WM, Liu WP, Chou SY, Kuo HW (2008) Ambient temperature and emergency room admissions for acute coronary syndrome in Taiwan. Int J Biometeorol 52:223–229

    Article  Google Scholar 

  58. Lin S, Luo M, Walker RJ, Liu X, Hwang SA, Chinery R (2009) Extreme high temperatures and hospital admissions for respiratory and cardiovascular diseases. Epidemiology 20:738–746

    Article  Google Scholar 

  59. Linares C, Diaz J (2008) Impact of high temperatures on hospital admissions: comparative analysis with previous studies about mortality (Madrid). Eur J Pub Health 18:317–322

    Article  CAS  Google Scholar 

  60. Lowe T, Lorenzoni I (2007) Danger is all around: eliciting expert perceptions for managing climate change through a mental models approach. Glob Environ Chang 17:131–146. https://doi.org/10.1016/j.gloenvcha.2006.05.001

    Article  Google Scholar 

  61. Luber G, McGeehin M (2008) Climate change and extreme heat events. Amer J Prev Med 35:429–435

    Article  Google Scholar 

  62. Madrigano J, Mittleman MA, Baccarelli A, Goldberg R, Melly S, von Klot S, Schwartz J (2013) Temperature, myocardial infarction, and mortality: effect modification by individual- and area-level characteristics. Epidemiology 24:439–446. https://doi.org/10.1097/EDE.0b013e3182878397

    Article  Google Scholar 

  63. Maier G, Grundstein A, Jang W, Li C, Naeher LP, Shepherd M (2013) Assessing the performance of a vulnerability index during oppressive heat across Georgia, United States. Weather Clim. Soc 6:253–263

    Article  Google Scholar 

  64. McGeehin MA, Mirabelli M (2001) The potential impacts of climate variability and change on temperature-related morbidity and mortality in the United States. Environ Health Perspect 109:185–189

    Article  Google Scholar 

  65. Medina-Ramon M, Zanobetti A, Cavanagh DP, Schwartz J (2006) Extreme temperatures and mortality: assessing effect modification by personal characteristics and specific cause of death in a multi-city case-only analysis. Environ Health Perspect 114:1331–1336

    Article  Google Scholar 

  66. Morgan M, Fischhoff G, Bostrom A et al (2002) Risk communication: a mental models approach. Cambridge University Press, Cambridge

    Google Scholar 

  67. Moyer-Gusé E (2008) Toward a theory of entertainment persuasion: Explaining the persuasive effects of entertainment-education messages. Communication Theory, 18(3): 407–425. National Weather Service, 2017: Weather Fatalities 2016. Available at: http://www.nws.noaa.gov/om/hazstats.shtml

  68. National Oceanic and Atmospheric Administration (2005) NOAA Heat/Health watch warning system Improving forecasts and earnings for excessive heat - Excessive heat Program piloted in Philadelphia is becoming Worldwide Model. NOAA Magazine Available online at: http://www.noaanews.noaa.gov/stories2005/s2366.htm

  69. National Weather Service (NWS 2017) (2017) Weather Fatalities 2016. Available online at: http://www.nws.noaa.gov/om/hazstats.shtml

  70. National Weather Service (NWS, 2015) WFO Non-precipitation weather products specification. Available online at www.nws. noaa.gov/directives/sym/pd01005015curr.pdf

  71. Naughton MP, Henderson A, Mirabelli MC, Kaiser R, Wilhelm JL, Kieszak SM et al (2002) Heat-related mortality during a 1999 heat wave in Chicago. Am J Prev Med 22(4):221–227

    Article  Google Scholar 

  72. Ogbomo AS, Gronlund CJ, O’Neill MS, Konen T, Cameron L, Wahl R (2017) Vulnerability to extreme heat-associated hospitalization in three counties in Michigan, USA, 2000-2009. Int J Biometeorol 61:833–843

    Article  Google Scholar 

  73. O’Neill MS, Ebi KL (2009) Temperature extremes and health: impacts of climate variability and change in the United States. J Occup Environ Med 51:13–25

    Article  Google Scholar 

  74. O’Neill MS, Zanobetti A, Schwartz J (2003) Modifiers of the temperature and mortality association in seven US cities. Am J Epidemiol 157(12):1074–1082

    Article  Google Scholar 

  75. Pillai SK et al (2014) Heat illness: predictors of hospital admissions among emergency department visits-Georgia, 2002-2008. J Commun Health 39:90–98. https://doi.org/10.1007/s10900-013-9743-4

    Article  Google Scholar 

  76. Prentice-Dunn S, Rogers RW (1986) Protection motivation theory and preventive health: beyond the health belief model. Health Educ Res 1(3):153–161

    Article  Google Scholar 

  77. Quinn A, Tamerius JD, Perzanowski M, Jacobson JS, Goldstein I, Acosta L, Shaman J (2014) Predicting indoor heat exposure risk during extreme heat events. Sci Total Environ 490:686–693

    Article  CAS  Google Scholar 

  78. Reid CE, O’Neill MS, Gronlund CJ, Brines SJ, Brown DG, Diez-Roux AV, Schwartz J (2009) Mapping community determinants of heat vulnerability. Environ Health Perspect 117:1730–1736

    Article  Google Scholar 

  79. Reid CE, Mann JK, Alfasso R, English PB, King GC, Lincoln RA, Margolis HG, Rubado DJ, Sabato JE, West NL et al (2012) Evaluation of a heat vulnerability index on abnormally hot days: an environmental public health tracking study. Environ Health Perspect 120:715–720

    Article  Google Scholar 

  80. Richard L, Kosatsky T, Renouf A (2011) Correlates of hot day air-conditioning use among middle-aged and older adults with chronic heart and lung diseases: the role of health beliefs and cues to action. Health Educ Res 26(1):77–88

    Article  Google Scholar 

  81. Ricketts M, Shanteau J, McSpadden B, Fernandez-Medina KM (2010) Using stories to battle unintentional injuries: narratives in safety and health communication. Soc Sci Med 70(9):1441–1449

    Article  Google Scholar 

  82. Revich BA (2011) Heat-wave, air quality and mortality in European Russia in summer 2010: preliminary assessment. Yekologiya Cheloveka Hum Ecol 7:3–9

    Google Scholar 

  83. Robine JM, Cheung SL, le Roy S, van Oyen H, Griffith C, Michel JP, Herrmann FR (2008) Death toll exceede 70,000 in Europe during the summer of 2003. C R Biol 331:171–178

    Article  Google Scholar 

  84. Sampson NR, Gronlund CJ, Buxton MA, Catalano L, White-Newsome JL, Conlon KC, Parker EA (2013) Staying cool in a changing climate: reaching vulnerable populations during heat events. Glob Environ Chang 23(2):475–484

    Article  Google Scholar 

  85. Sarofim, MC, Saha S, Hawkins MD, Mills DM (2016) Temperature-related death and illness. Climate and health assessment. Available online at: https://health2016.globalchange.gov/temperature-related-death-and-illness

  86. Schwartz SH (1977) Normative influences on altruism. Adv Exp Soc Psychol 10:221–279

    Article  Google Scholar 

  87. Semenza JC, Wilson DJ, Parra J, Bontempo BD, Hart M, Sailor DJ, George LA (2008) Public perception and behavior change in relationship to hot weather and air pollution. Environ Res 107(3):401–411

    Article  CAS  Google Scholar 

  88. Semenza JC, McCullough JE, Flanders WD, McGeehin MA, Lumpkin JR (1999) Excess hospital admissions during the July 1995 heat wave in Chicago. Am J Prev Med 16:269–277. https://doi.org/10.1016/s0749-3797(99)00025-2

    Article  CAS  Google Scholar 

  89. Semenza JC, Rubin CH, Falter KH et al (1996) Heat-related deaths during the July 1995 heat wave in Chicago. N Engl J Med 335:84–90

    Article  CAS  Google Scholar 

  90. Sheridan SC (2007) A survey of public perception and response to heat warnings across four North American cities: an evaluation of municipal effectiveness. Int J Biometeorol 52(1):3–15. https://doi.org/10.1007/s00484-006-0052-9

    Article  Google Scholar 

  91. Sheridan SC, Kalkstein LS (2004) Progress in heat watch–warning system technology. Bull Amer Meteor Soc 85:1931–1941

    Article  Google Scholar 

  92. Sheridan SC, Dolney TJ (2003) Heat, mortality, and level of urbanization: measuring vulnerability across Ohio, USA. Clim Res 24:255–266

    Article  Google Scholar 

  93. Soneja S, Jiang C, Fisher J, Upperman CR, Mitchell C, Sapkota A (2016) Exposure to extreme heat and precipitation events associated with increased risk of hospitalization for asthma in Maryland, U.S.A. Environ Health 15:57. https://doi.org/10.1186/s12940-016-0142-z

    Article  CAS  Google Scholar 

  94. Stafoggia M, Forestiere F, Agostini D, Biggeri A, Bisanti L, Cadum E et al (2006) Vulnerability to heat-related mortality: a multicity, population-based, case-crossover analysis. Epidemiology 17(3):315–323

    Article  Google Scholar 

  95. Stone B (2012) The city and the coming climate: climate change in the places we live. Cambridge University Press, New York

    Book  Google Scholar 

  96. Stone B, Hess JJ, Frumkin H (2010) Urban form and extreme heat events: are sprawling cities more vulnerable to climate change than compact cities? Environ Health Perspect 118(10):1425–1428

    Article  Google Scholar 

  97. Toloo G, FitzGerald G, Aitken P, Verrall K, Tong S (2013) Evaluating the effectiveness of heat warning systems: systematic review of epidemiological evidence. Int J Public Health 58(5):667–681

    Article  Google Scholar 

  98. Udtha M, Nomie K, Yu E, Sanner J (2015) Novel and emerging strategies for longitudinal data collection. J Nurs Scholarsh 47(2):152–160

    Article  Google Scholar 

  99. Vanos JK, McKercher GR, Naughton K, Lochbaum M (2017) Schoolyard shade and sun exposure: assessment of personal monitoring during children's physical activity. Photochem Photobiol 93(4):1123

    Article  CAS  Google Scholar 

  100. Wagner K (2007) Mental models of flash floods and landslides. Risk Analysis 2007 27:671–682. https://doi.org/10.1111/j.1539-6924.2007.00916.x

    Article  Google Scholar 

  101. Williams CW (2016) Children forgotten in hot cars: a hybrid mental models approach for improving public health messaging. (Unpublished master’s thesis). University of Georgia, Athens, Georgia

    Google Scholar 

  102. Williams CW, Grundstein AJ (2017) Children forgotten in hot cars: a mental models approach for improving public health messaging. Injury Prevention, In press

    Google Scholar 

  103. Winquist A, Grundstein A, Chang HH, Hess J, Sarnat S (2016) Warm season temperatures and emergency department visits in Atlanta, GA. Environ Res 147:314–323

    Article  CAS  Google Scholar 

  104. White-Newsome JL, McCormick S, Sampson N, Buxton MA, O'Neill MS, Gronlund CJ, Parker EA (2014) Strategies to reduce the harmful effects of extreme heat events: a four-city study. Int J Environ Res Public Health 11(2):1960–1988

    Article  Google Scholar 

  105. Wolf T, Chuang W-C, McGregor G (2015) On the science-policy bridge: do spatial heat vulnerability assessment studies influence policy? Int J Res Public Health 12:13321–13349

    Article  Google Scholar 

  106. Wolf T, McGregor G, Analitis A (2013) Performance assessment of a heat wave vulnerability index for greater London, United Kingdom. Weather Clim Soc 6:32–46

    Article  Google Scholar 

  107. Ye X, Wolff R, Yu W, Vaneckova P, Pan X, Tong S (2012) Ambient temperature and morbidity: a review of the epidemiological evidence. Environ Health Perspect 120(10):19–28

    Article  Google Scholar 

  108. Zhou Y, Shepherd JM (2010) Atlanta's urban heat island under extreme heat conditions and potential mitigation strategies. Nat Hazards 52(3):639–668

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrew J. Grundstein .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 The Author(s)

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Grundstein, A.J., Williams, C.A. (2018). Heat Exposure and the General Public: Health Impacts, Risk Communication, and Mitigation Measures. In: Hosokawa, Y. (eds) Human Health and Physical Activity During Heat Exposure. SpringerBriefs in Medical Earth Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-75889-3_3

Download citation

Publish with us

Policies and ethics