IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i3p284-d65151.html
   My bibliography  Save this article

Spatial Patterns of Heat-Related Cardiovascular Mortality in the Czech Republic

Author

Listed:
  • Aleš Urban

    (Institute of Atmospheric Physics, Czech Academy of Sciences, Boční II 1401, 14131 Prague 4, Czech Republic
    Faculty of Science, Charles University, Albertov 6, 12843 Prague 2, Czech Republic)

  • Katrin Burkart

    (Department of Environmental Health Science, Mailman School of Public Health, Columbia University, 722 W 168th Street, New York, NY 10032, USA)

  • Jan Kyselý

    (Institute of Atmospheric Physics, Czech Academy of Sciences, Boční II 1401, 14131 Prague 4, Czech Republic
    Faculty of Environmental Sciences, Czech University of Life Sciences, Kamýcká 129, 16521 Prague 6, Czech Republic
    Global Change Research Centre, Czech Academy of Sciences, Bělidla 986, 60300 Brno, Czech Republic)

  • Christian Schuster

    (Department of Geography, Geoinformation Science Lab, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany)

  • Eva Plavcová

    (Institute of Atmospheric Physics, Czech Academy of Sciences, Boční II 1401, 14131 Prague 4, Czech Republic)

  • Hana Hanzlíková

    (Institute of Atmospheric Physics, Czech Academy of Sciences, Boční II 1401, 14131 Prague 4, Czech Republic
    Institute of Geophysics, Czech Academy of Sciences, Boční II 1401, 14131 Prague 4, Czech Republic)

  • Petr Štěpánek

    (Global Change Research Centre, Czech Academy of Sciences, Bělidla 986, 60300 Brno, Czech Republic
    Czech Hydrometeorological Institute, Regional Office Brno, Kroftova 2578, 61667 Brno, Czech Republic)

  • Tobia Lakes

    (Department of Geography, Geoinformation Science Lab, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany)

Abstract

The study examines spatial patterns of effects of high temperature extremes on cardiovascular mortality in the Czech Republic at a district level during 1994–2009. Daily baseline mortality for each district was determined using a single location-stratified generalized additive model. Mean relative deviations of mortality from the baseline were calculated on days exceeding the 90th percentile of mean daily temperature in summer, and they were correlated with selected demographic, socioeconomic, and physical-environmental variables for the districts. Groups of districts with similar characteristics were identified according to socioeconomic status and urbanization level in order to provide a more general picture than possible on the district level. We evaluated lagged patterns of excess mortality after hot spell occurrences in: (i) urban areas vs. predominantly rural areas; and (ii) regions with different overall socioeconomic level. Our findings suggest that climatic conditions, altitude, and urbanization generally affect the spatial distribution of districts with the highest excess cardiovascular mortality, while socioeconomic status did not show a significant effect in the analysis across the Czech Republic as a whole. Only within deprived populations, socioeconomic status played a relevant role as well. After taking into account lagged effects of temperature on excess mortality, we found that the effect of hot spells was significant in highly urbanized regions, while most excess deaths in rural districts may be attributed to harvesting effects.

Suggested Citation

  • Aleš Urban & Katrin Burkart & Jan Kyselý & Christian Schuster & Eva Plavcová & Hana Hanzlíková & Petr Štěpánek & Tobia Lakes, 2016. "Spatial Patterns of Heat-Related Cardiovascular Mortality in the Czech Republic," IJERPH, MDPI, vol. 13(3), pages 1-19, March.
  • Handle: RePEc:gam:jijerp:v:13:y:2016:i:3:p:284-:d:65151
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/3/284/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/13/3/284/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Janine Wichmann & Zorana Jovanovic Andersen & Matthias Ketzel & Thomas Ellermann & Steffen Loft, 2011. "Apparent Temperature and Cause-Specific Mortality in Copenhagen, Denmark: A Case-Crossover Analysis," IJERPH, MDPI, vol. 8(9), pages 1-16, September.
    2. Jonathan Wakefield & Ruth Salway, 2001. "A statistical framework for ecological and aggregate studies," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(1), pages 119-137.
    3. Aleš Urban & Jan Kyselý, 2014. "Comparison of UTCI with Other Thermal Indices in the Assessment of Heat and Cold Effects on Cardiovascular Mortality in the Czech Republic," IJERPH, MDPI, vol. 11(1), pages 1-16, January.
    4. Simon Gosling & Glenn McGregor & Jason Lowe, 2012. "The benefits of quantifying climate model uncertainty in climate change impacts assessment: an example with heat-related mortality change estimates," Climatic Change, Springer, vol. 112(2), pages 217-231, May.
    5. Simon Gosling & Jason Lowe & Glenn McGregor & Mark Pelling & Bruce Malamud, 2009. "Associations between elevated atmospheric temperature and human mortality: a critical review of the literature," Climatic Change, Springer, vol. 92(3), pages 299-341, February.
    6. Junzhe Bao & Xudong Li & Chuanhua Yu, 2015. "The Construction and Validation of the Heat Vulnerability Index, a Review," IJERPH, MDPI, vol. 12(7), pages 1-15, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Misun Kang & Kyu Rang Kim & Ju-Young Shin, 2020. "Event-Based Heat-Related Risk Assessment Model for South Korea Using Maximum Perceived Temperature, Wet-Bulb Globe Temperature, and Air Temperature Data," IJERPH, MDPI, vol. 17(8), pages 1-19, April.
    2. Aleš Urban & Hana Hanzlíková & Jan Kyselý & Eva Plavcová, 2017. "Impacts of the 2015 Heat Waves on Mortality in the Czech Republic—A Comparison with Previous Heat Waves," IJERPH, MDPI, vol. 14(12), pages 1-19, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aleš Urban & Hana Hanzlíková & Jan Kyselý & Eva Plavcová, 2017. "Impacts of the 2015 Heat Waves on Mortality in the Czech Republic—A Comparison with Previous Heat Waves," IJERPH, MDPI, vol. 14(12), pages 1-19, December.
    2. Xi Chen & Chih Ming Tan & Xiaobo Zhang & Xin Zhang, 2020. "The effects of prenatal exposure to temperature extremes on birth outcomes: the case of China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1263-1302, October.
    3. H. Athar, 2013. "Seasonal variability of the observed and the projected daily temperatures in northern Saudi Arabia," Climatic Change, Springer, vol. 119(2), pages 333-344, July.
    4. Francesca Dominici & Lianne Sheppard & Merlise Clyde, 2003. "Health Effects of Air Pollution: A Statistical Review," International Statistical Review, International Statistical Institute, vol. 71(2), pages 243-276, August.
    5. Ying C. MacNab, 2018. "Some recent work on multivariate Gaussian Markov random fields," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 497-541, September.
    6. Weihua Dong & Zhao Liu & Lijie Zhang & Qiuhong Tang & Hua Liao & Xian'en Li, 2014. "Assessing Heat Health Risk for Sustainability in Beijing’s Urban Heat Island," Sustainability, MDPI, vol. 6(10), pages 1-24, October.
    7. Suresh Kumar Rathi & Soham Chakraborty & Saswat Kishore Mishra & Ambarish Dutta & Lipika Nanda, 2021. "A Heat Vulnerability Index: Spatial Patterns of Exposure, Sensitivity and Adaptive Capacity for Urbanites of Four Cities of India," IJERPH, MDPI, vol. 19(1), pages 1-17, December.
    8. -, 2011. "An economic assessment of the impact of climate change on the health sector in Montserrat," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38589, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    9. Joan G. Staniswalis, 2008. "Incorporating Marginal Covariate Information in a Nonparametric Regression Model for a Sample of R×C Tables," Biometrics, The International Biometric Society, vol. 64(4), pages 1054-1061, December.
    10. Wei Zhang & Phil McManus & Elizabeth Duncan, 2018. "A Raster-Based Subdividing Indicator to Map Urban Heat Vulnerability: A Case Study in Sydney, Australia," IJERPH, MDPI, vol. 15(11), pages 1-20, November.
    11. Sitong Yang & Shouwei Li & Xue Rui & Tianxiang Zhao, 2024. "The impact of climate risk on the asset side and liability side of the insurance industry: evidence from China," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-51, June.
    12. Weeberb J. Requia & Reizane Maria Damasceno da Silva & Leonardo Hoinaski & Heresh Amini, 2024. "Thermal Comfort Conditions and Mortality in Brazil," IJERPH, MDPI, vol. 21(9), pages 1-19, September.
    13. Lora E. Fleming & Andy Haines & Brian Golding & Anthony Kessel & Anna Cichowska & Clive E. Sabel & Michael H. Depledge & Christophe Sarran & Nicholas J. Osborne & Ceri Whitmore & Nicola Cocksedge & Da, 2014. "Data Mashups: Potential Contribution to Decision Support on Climate Change and Health," IJERPH, MDPI, vol. 11(2), pages 1-22, February.
    14. Philip E. Morefield & Neal Fann & Anne Grambsch & William Raich & Christopher P. Weaver, 2018. "Heat-Related Health Impacts under Scenarios of Climate and Population Change," IJERPH, MDPI, vol. 15(11), pages 1-17, November.
    15. W. Lee, 2014. "Historical global analysis of occurrences and human casualty of extreme temperature events (ETEs)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(2), pages 1453-1505, January.
    16. Otrachshenko, Vladimir & Popova, Olga & Solomin, Pavel, 2018. "Misfortunes never come singly: Consecutive weather shocks and mortality in Russia," Economics & Human Biology, Elsevier, vol. 31(C), pages 249-258.
    17. Ine Van den Wyngaert & Katrien De Troeyer & Bert Vaes & Mahmoud Alsaiqali & Bert Van Schaeybroeck & Rafiq Hamdi & Lidia Casas Ruiz & Gijs Van Pottelbergh, 2021. "Impact of Heat Waves on Hospitalisation and Mortality in Nursing Homes: A Case-Crossover Study," IJERPH, MDPI, vol. 18(20), pages 1-8, October.
    18. You Jin Kwon & Dong Kun Lee & You Ha Kwon, 2020. "Is Sensible Heat Flux Useful for the Assessment of Thermal Vulnerability in Seoul (Korea)?," IJERPH, MDPI, vol. 17(3), pages 1-26, February.
    19. C. Harris & A. Quinn & J. Bridgeman, 2013. "Quantification of uncertainty sources in a probabilistic climate change assessment of future water shortages," Climatic Change, Springer, vol. 121(2), pages 317-329, November.
    20. Vijendra Ingole & Joacim Rocklöv & Sanjay Juvekar & Barbara Schumann, 2015. "Impact of Heat and Cold on Total and Cause-Specific Mortality in Vadu HDSS—A Rural Setting in Western India," IJERPH, MDPI, vol. 12(12), pages 1-11, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:13:y:2016:i:3:p:284-:d:65151. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.