Weather Information Acquisition and Health Significance during Extreme Cold Weather in a Subtropical City: A Cross-sectional Survey in Hong Kong

Emily Ying Yang Chan , Zhe Huang , Carman Ka Man Mark , Chunlan Guo

International Journal of Disaster Risk Science ›› 2017, Vol. 8 ›› Issue (2) : 134 -144.

PDF
International Journal of Disaster Risk Science ›› 2017, Vol. 8 ›› Issue (2) : 134 -144. DOI: 10.1007/s13753-017-0127-8
Article

Weather Information Acquisition and Health Significance during Extreme Cold Weather in a Subtropical City: A Cross-sectional Survey in Hong Kong

Author information +
History +
PDF

Abstract

Health and disaster risk reduction are important and necessary components in building a smart city, especially when climate change may increase the frequency of extreme temperatures and the health risks of urban dwellers. However, limited knowledge is available about the best way to disseminate weather warnings and health protection information. This study explores the weather information acquisition patterns of the Hong Kong public and examines the sociodemographic predictors of these patterns to establish the potential public health implications of smart city development. A population-based, stratified cross-sectional, random digit dialing telephone survey was conducted among the Cantonese-speaking population aged over 15 years in Hong Kong in early 2016. Analyses were conducted based on 1017 valid samples, with a response rate of 63.6%. Cold Weather Warnings were well disseminated in Hong Kong, with 95.7% of the respondents reporting awareness of the public warnings. Television and smartphone apps were the two most important channels for weather information acquisition. Age and education level are the main social-demographic variables associated with the current utilization and future preference of smartphone technology. Among those who were not using a preferred channel to acquire weather information, 61.3% considered switching to a smartphone app. Moreover, the patterns of individual health protection measures and self-reported health impacts were significantly different between smartphone app users and non-users. Weather information dissemination should be tailored to the sociodemographic characteristics of the users.

Keywords

Cold weather warnings / Public health emergencies / Smart cities / Subtropical city / Weather information dissemination systems

Cite this article

Download citation ▾
Emily Ying Yang Chan, Zhe Huang, Carman Ka Man Mark, Chunlan Guo. Weather Information Acquisition and Health Significance during Extreme Cold Weather in a Subtropical City: A Cross-sectional Survey in Hong Kong. International Journal of Disaster Risk Science, 2017, 8(2): 134-144 DOI:10.1007/s13753-017-0127-8

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Anderson BG, Bell ML. Weather-related mortality: How heat, cold, and heat waves affect mortality in the United States. Epidemiology, 2009, 20(2): 205-213

[2]

Boulos, M.N.K., A.D. Tsouros, and A. Holopainen. 2015. “Social, innovative and smart cities are happy and resilient”: Insights from the WHO EURO 2014 International Healthy Cities Conference. International Journal of Health Geographics 14(1): Article No. 3.

[3]

Brundage JF, Scott RM, Lednar WM, Smith DW, Miller RN. Building-associated risk of febrile acute respiratory diseases in Army trainees. JAMA, 1988, 259(14): 2108-2112

[4]

Carder M, McNamee R, Beverland I, Elton R, Cohen GR, Boyd J, Agius RM. The lagged effect of cold temperature and wind chill on cardiorespiratory mortality in Scotland. Occupational and Environmental Medicine, 2005, 62(10): 702-710

[5]

Chan EYY, Cheng CKY, Tam GCH, Huang Z, Lee PY. Knowledge, attitudes, and practices of Hong Kong population towards human A/H7N9 influenza pandemic preparedness, China, 2014. BMC Public Health, 2015, 15(1): 943

[6]

Chan EYY, Cheng CKY, Tam GCH, Huang Z, Lee PY. Willingness of future A/H7N9 influenza vaccine uptake: A cross-sectional study of Hong Kong community. Vaccine, 2015, 33(38): 4737-4740

[7]

Chan EYY, Goggins WB, Kim JJ, Griffiths SM. A study of intracity variation of temperature-related mortality and socioeconomic status among the Chinese population in Hong Kong. Journal of Epidemiology and Community Health, 2012, 66(4): 322-327

[8]

Chan EYY, Kim JH, Ng Q, Griffiths S, Lau JT. A descriptive study of nonfatal, unintentional home-based injury in urban settings: Evidence from Hong Kong. Asia-Pacific Journal of Public Health/Asia-Pacific Academic Consortium for Public Health, 2008, 20(Suppl): 39-48.

[9]

CRED and UNISDR (Centre for Research on the Epidemiology of Disaster and the United Nations International Strategy for Disaster Reduction). 2015. The human cost of weather-related disasters 19952015. https://www.unisdr.org/2015/docs/climatechange/COP21_WeatherDisastersReport_2015_FINAL.pdf. Accessed 21 May 2017.

[10]

Cretikos M, Eastwood K, Dalton C, Merritt T, Tuyl F, Winn L, Durrheim D. Household disaster preparedness and information sources: Rapid cluster survey after a storm in New South Wales. Australia. BMC Public Health, 2008, 8(1): 195

[11]

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

[12]

Daisey JM, Angell WJ, Apte MG. Indoor air quality, ventilation and health symptoms in schools: An analysis of existing information. Indoor Air, 2003, 13(1): 53-64

[13]

Demuth JL, Lazo JK, Morss RE. Exploring variations in people’s sources, uses, and perceptions of weather forecasts. Weather, Climate, and Society, 2011, 3(3): 177-192

[14]

Falagas ME, Karageorgopoulos DE, Moraitis LI, Vouloumanou EK, Roussos N, Peppas G, Rafailidis PI. Seasonality of mortality: The September phenomenon in Mediterranean countries. Canadian Medical Association Journal, 2009, 181(8): 484-486

[15]

Faraway JJ. Extending the linear model with R: Generalized linear, mixed effects and nonparametric regression models, 2016 2 Boca Raton: CRC Press

[16]

Fisk WJ. Spengler J, Samet JM, McCarthy JF. Estimates of potential nationwide productivity and health benefits from better indoor environments: An update. Indoor air quality handbook, 2001, New York: McGraw Hill 1-36.

[17]

Goggins WB, Chan EY. A study of the short-term associations between hospital admissions and mortality from heart failure and meteorological variables in Hong Kong: Weather and heart failure in Hong Kong. International Journal of Cardiology, 2017, 228: 537-542

[18]

Goggins WB, Chan EY, Yang C, Chong M. Associations between mortality and meteorological and pollutant variables during the cool season in two Asian cities with sub-tropical climates: Hong Kong and Taipei. Environmental Health, 2013, 12(1): 59

[19]

Goggins WB, Ren C, Ng E, Yang C, Chan EY. Effect modification of the association between meteorological variables and mortality by urban climatic conditions in the tropical city of Kaohsiung. Taiwan. Geospatial Health, 2013, 8(1): 37-44

[20]

Hassi J. Kirch W, Menne B, Bertollini R. Cold extremes and impacts on health. Extreme weather events and public health responses, 2005, Berlin: Springer 59-67

[21]

Hong Kong Observatory. 2016a. The weather of January 2016. http://www.hko.gov.hk/wxinfo/pastwx/mws2016/mws201601.htm. Accessed 8 Nov 2016.

[22]

Hong Kong Observatory. 2016b. Daily extract of meteorological observations, January 2016. http://www.weather.gov.hk/cis/dailyExtract_e.htm?y=2016&m=1. Accessed 8 Nov 2016.

[23]

Hong Kong Observatory. 2016c. Daily extract of meteorological observations, February 2016. http://www.weather.gov.hk/cis/dailyExtract_e.htm?y=2016&m=2. Accessed 8 Nov 2016.

[24]

Hong Kong SAR Census and Statistics Department. 2012. 2011 population census: Main report: Volume I. http://www.census2011.gov.hk/pdf/main-report-volume-I.pdf. Accessed 8 Nov 2016.

[25]

Hong Kong SAR Census and Statistics Department. 2017. Thematic household survey report No. 62. http://www.statistics.gov.hk/pub/B11302622017XXXXB0100.pdf. Accessed 21 Apr 2017.

[26]

Hong Kong SAR Environment Bureau. 2015. Climate Change Report 2015. http://www.enb.gov.hk/sites/default/files/pdf/ClimateChangeEng.pdf. Accessed 12 Apr 2017.

[27]

Hong Kong SAR Office of the Communications Authority. 2016. Key communication statistics. http://www.ofca.gov.hk/en/media_focus/data_statistics/key_stat/. Accessed 8 Nov 2016.

[28]

Houston JB, Hawthorne J, Perreault MF, Park EH, Hode MG, Halliwell MR, Turner McGowen SE, Davis R, Vaid S, McElderry JA, Griffith SA. Social media and disasters: a functional framework for social media use in disaster planning, response, and research. Disasters, 2015, 39(1): 1-22

[29]

Hussain A, Wenbi R, da Silva AL, Nadher M, Mudhish M. Health and emergency-care platform for the elderly and disabled people in the smart city. Journal of Systems and Software, 2015, 110: 253-263

[30]

Jacoby, W.G. 2005. Regression III: Advanced methods. http://polisci.msu.edu/jacoby/icpsr/regress3/. Accessed 8 Nov 2016.

[31]

Keatinge WR, Donaldson GC, Cordioli E, Martinelli M, Kunst AE, Mackenbach JP, Nayha S, Vuori I. Heat related mortality in warm and cold regions of Europe: Observational study. BMJ, 2000, 321(7262): 670-673

[32]

Laaidi K, Economopoulou A, Wagner V, Pascal M, Empereur-Bissonnet P, Verrier A, Beaudeau P. Cold spells and health: Prevention and warning. Public Health, 2013, 127(5): 492-499

[33]

Last JM. Public health and human ecology, 1998 2 Stamford, CT: Appleton & Lange

[34]

Leung YK, Yip KM, Yeung KH. Long-term trend in thermal index and its impact on mortality in Hong Kong. Meteorological Applications, 2008, 15(3): 399-409

[35]

McMichael AJ, Woodruff RE, Hales S. Climate change and human health: Present and future risks. The Lancet, 2006, 367(9513): 859-869

[36]

Merchant RM, Elmer S, Lurie N. Integrating social media into emergency-preparedness efforts. New England Journal of Medicine, 2011, 365(4): 289-291

[37]

Mohanty SP, Choppali U, Kougianos E. Everything you wanted to know about smart cities: The Internet of things is the backbone. IEEE Consumer Electronics Magazine, 2016, 5(3): 60-70

[38]

Roger E. Diffusion of innovation, 1995 4 New York: Free Press

[39]

Rubin GJ, Amlôt R, Page L, Wessely S. Public perceptions, anxiety, and behaviour change in relation to the swine flu outbreak: Cross sectional telephone survey. BMJ, 2009, 339: b2651

[40]

Sena A, Corvalan C, Ebi K. Freedman B. Climate change, extreme weather and climate events, and health impacts. Global environmental change, 2014, Dordrecht: Springer 605-613.

[41]

Yin J, Lampert A, Cameron M, Robinson B, Power R. Using social media to enhance emergency situation awareness. IEEE Intelligent Systems, 2014, 27(6): 52-59

[42]

WHO (World Health Organization). 2015. Report on WHO’s work in emergency risk and crisis management. http://reliefweb.int/sites/reliefweb.int/files/resources/erm_report2013_2014.pdf. Accessed 8 Nov 2016.

[43]

World Bank. 2016. Population density. http://data.worldbank.org/indicator/EN.POP.DNST?year_high_desc=true. Accessed 8 Nov 2016.

AI Summary AI Mindmap
PDF

172

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/