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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
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    References listed on IDEAS

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    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. 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.
    3. 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.
    4. 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.
    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.
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    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.

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