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The development of a method to determine the burden of climate change on different health outcomes at a local scale: a case study in Osaka Prefecture, Japan

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Abstract

Climate change impacts human health in a variety of ways. Variables including the climate-related risk factor, the health outcome and location all determine the nature and extent of the impact. The existence of different pathways and endpoints presents a problem for quantifying and comparing impacts. Disability-adjusted life year (DALY) provides a common scale, whereby the impact of climate change on both acute and chronic health outcomes can be compared. This study presents a methodology to calculate the impact of climate change on human health at a local scale, using cardiovascular disease (CVD) and meteorological disaster-related injuries (DRIs) in Osaka Prefecture, Japan, as applied case studies. An additional very fine scale assessment of CVD conducted at the neighbourhood level to demonstrate the importance of conducting risk assessments at a local level. The comparative results calculated the impact of climate change in 2050 to be 16.866 DALY/100,000 population for CVD and 0.645 DALY/100,000 for meteorological DRIs. The actual impact of climate change by 2050 on CVD is judged to be higher, although the relative risk was projected to be lower (1.006, compared to 1.263 for meteorological DRIs). The fine scale assessment revealed the variations in the projected impact of climate change on CVD for all administrative zones in Osaka Prefecture. The range of impacts varied from 0 to 114.29 DALY/100,000. The results demonstrate the applicability of using DALY to quantify the impact of climate change on different health outcomes, using a transferable methodology, and provide information that enables evidence-based prioritisation of climate change adaptation strategies at a local scale.

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References

  • Basu R, Samet JM (2002) Relation between elevated ambient temperature and mortality: a review of the epidemiologic evidence. Epidemiol Rev 24:190–202

    Article  Google Scholar 

  • Cabinet Office (2016) Government of Japan. http://www.esri.cao.go.jp/jp/sna/menu.html (in Japanese)

  • Campbell-Lendrum D, Woodruff R (2007) Climate change: quantifying the health impact at national and local levels. In: Prüss-Üstün A, Corvalán C (eds) WHO environmental burden of Disease Series No 14. World Health Organisation, Geneva

    Google Scholar 

  • Cutter S, Osman-Elasha B, Campbell J, Cheong S-M, McCormick S, Pulwarty R, Supratid S, Ziervogel G (2012) Managing the risks from climate extremes at the local level. In: Field CB, Barros V, Stocker TF, Qin D, Dokken DJ, Ebi KL, Mastrandrea MD, Mach KJ, Plattner G-K, Allen SK, Tignor M, Midgley PM (eds) Managing the risks of extreme events and disasters to advance climate change adaptation: a special report of working groups I and II of the intergovernmental Panel on Climate Change (IPCC). Cambridge University Press, Cambridge, pp 291–338

    Chapter  Google Scholar 

  • De Schryver AM, Brakkee KW, Goedkoop MJ, Huijbregts MAJ (2008) Characterization factors for global warming in life cycle assessment based on damages to humans and ecosystems. Environ Sci Technol 43(6):1689–1695

    Article  Google Scholar 

  • e-Stat (2016) Portal Site of official statistics of Japan. http://e-stat.go.jp/SG2/eStatGIS/page/download.html (in Japanese)

  • Ezzati M, Lopez AD, Rodgers A, Vander Hoorn S, Murray CJL (2002) Selected major risk factors and global and regional burden of disease. Lancet 360(9343):1347–1360

    Article  Google Scholar 

  • Ezzati M, Lopez AD, Rodgers A, Murray CJ (2004) Comparative quantification of health risks. Global and regional burden of disease attributable to selected major risk factors. World Health Organization, Geneva, pp 1987–1997

    Google Scholar 

  • Field CB, Barros VR, Mach KJ, Mastrandrea MD, van Aalst M, Adger WN, Arent DJ, Barnett J, Betts R, Bilir TE, Birkmann J, Carmin J, Chadee DD, Challinor AJ, Chatterjee M, Cramer W, Davidson DJ, Estrada YO, Gattuso J-P, Hijioka Y, Hoegh-Guldberg O, Huang HQ, Insarov GE, Jones RN, Kovats RS, Romero-Lankao P, Larsen JN, Losada IJ, Marengo JA, McLean RF, Mearns LO, Mechler R, Morton JF, Niang I, Oki T, Olwoch JM, Opondo M, Poloczanska ES, Pörtner H-O, Redsteer MH, Reisinger A, Revi A, Schmidt DN, Shaw MR, Solecki W, Stone DA, Stone JMR, Strzepek KM, Suarez AG, Tschakert P, Valentini R, Vicuña S, Villamizar A, Vincent KE, Warren R, White LL, Wilbanks TJ, Wong PP, Yohe GW (2014) Technical summary. In: Field CB, Barros VR, Dokken DJ, Mach KJ, Mastrandrea MD, Bilir TE, Chatterjee M, Ebi KL, Estrada YO, Genova RC, Girma B, Kissel ES, Levy AN, MacCracken S, Mastrandrea PR, White LL (eds) Climate change 2014: impacts, adaptation, and vulnerability. Part A: global and sectoral aspects. Contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge; New York, NY, pp 35–94

    Google Scholar 

  • GBD (2013) Global Burden of Disease Study 2013 (GBD 2013) Results by location, cause, and risk factor. Seattle, Institute for Health Metrics and Evaluation (IHME)

    Google Scholar 

  • GHDx (2016) GBD results tool, Global Health Data Exchange. http://ghdx.healthdata.org/gbd-results-tool

  • Haines A, Kovats RS, Campbell-Lendrum D, Corvalán C (2006) Climate change and human health: impacts, vulnerability and public health. Public Health 120(7):585–596

    Article  CAS  Google Scholar 

  • Hallegatte S, Hourcade JC, Dumas P (2007) Why economic dynamics matter in assessing climate change damages: illustration on extreme events. Ecol Econ 62(2):330–340

    Article  Google Scholar 

  • Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25(15):1965–1978

    Article  Google Scholar 

  • Honda Y, Kondo M, McGregor G, Kim H, Guo Y-L, Hijioka Y, Yoshikawa M, Oka K, Takano S, Hales S, Kovats RS (2013) Heat-related mortality risk model for climate change impact projection. Environ Health Prev Med 19:56–63

    Article  Google Scholar 

  • Jee K, Kim GH (2013) Potentiality of big data in the medical sector: focus on how to reshape the healthcare system. Healthc Infor Res 19(2):79–85

    Article  Google Scholar 

  • JMA (2016a) Disaster Prevention Report, Japan Meteorological Agency. http://www.data.jma.go.jp/obd/stats/data/bosai/report/index_1989.html (in Japanese)

  • JMA (2016b) Heavy Rain Trend, Japan Meteorological Agency. http://www.jma.go.jp/jma/kishou/info/heavyraintrend.html (in Japanese)

  • JMA. (2016c) Past weather data download, Japan Meteorological Agency. http://www.data.jma.go.jp/gmd/risk/obsdl/index.php (Japanese)

  • Kazuyuki U (2012) The health impacts of climate change in Asia-Pacific, Asia-Pacific human development report background papers series 2012/16, UNDP

  • Lim SS, Vos T, Flaxman AD et al (2012) A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380:2224–2260

    Article  Google Scholar 

  • Macnee RGD, Tokai A (2016) Heat wave vulnerability and exposure mapping for Osaka City Japan. Environ Syst Decis. doi:10.1007/s10669-016-9607-4

    Google Scholar 

  • Masumoto, K. (2009) Urban heat island in Osaka City—Distribution of air temperature and wet bulb globe. In: The seventh international conference on urban climate, 29 June–3 July 2009, Yokohama, Japan

  • McMichael AJ, Campbell-Lendrum DH, Corvalán CF, Ebi KL, Githeko AK, Scheraga JD, Woodward A (2003) Climate change and human health: risks and responses. World Health Organisation, Geneva

    Google Scholar 

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

    Article  Google Scholar 

  • Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C et al (2013) Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380(9859):2197–2223

    Article  Google Scholar 

  • NIPSSR (2002) Population projections for Japan: 2001–2050 with long-range population projections: 2051–2100 January, 2002. National Institute of Population and Social Security Research

  • NLNI (2016) National Land Numerical Information download service. http://nlftp.mlit.go.jp/ksj/jpgis/jpgis_datalist.html (in Japanese)

  • OPG (2016) Osaka Prefectural Government. http://www.pref.osaka.lg.jp/toukei/d-osaka/index.html (in Japanese)

  • Patz JA, Campbell-Lendrum D, Holloway T, Foley JA (2005) Impact of regional climate change on human health. Nature 438:310–317

    Article  CAS  Google Scholar 

  • Sugimoto S, Ueno K (2012) Role of mesoscale convective systems developed around the eastern Tibetan Plateau in the eastward expansion of an upper tropospheric high during the monsoon season. J Meteorol Soc Jpn 90(2):297–310. doi:10.2151/jmsj.2012-209

    Article  Google Scholar 

  • Tabuchi T, Fukuhara H, Iso H (2012) Geographically-based discrimination is a social determinant of mental health in a deprived or stigmatized area in Japan: a cross-sectional study. Soc Sci Med 75(6):1015–1021

    Article  Google Scholar 

  • Takahashi K, Honda Y, Emori S (2007) Mortality risk from heat stress due to global warming. J Risk Res 10(3):339–354

    Article  Google Scholar 

  • VSJ (2016) Portal Site of Official Statistics of Japan http://www.e-stat.go.jp/SG1/estat/NewListE.do?tid=000001028897

  • World Health Organisation (2012) Atlas of health and climate. WHO Press, Geneva

    Google Scholar 

  • World Health Organisation (2015) Strengthening health resilience to climate change. WHO Press, Geneva

    Google Scholar 

Download references

Acknowledgements

Thanks are expressed to the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan, and Osaka University for providing funding for this project. The authors would also like to express thanks to Dr. Narila Mutia Nasir, for her guidance throughout the study and expertise with DALY.

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Correspondence to Robert G. D. Macnee.

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Macnee, R.G.D., Tokai, A. The development of a method to determine the burden of climate change on different health outcomes at a local scale: a case study in Osaka Prefecture, Japan. Environ Syst Decis 37, 309–319 (2017). https://doi.org/10.1007/s10669-017-9636-7

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