International Journal of Biometeorology

, Volume 63, Issue 4, pp 535–548 | Cite as

The predictability of heat-related mortality in Prague, Czech Republic, during summer 2015—a comparison of selected thermal indices

  • Aleš UrbanEmail author
  • David M. Hondula
  • Hana Hanzlíková
  • Jan Kyselý
Original Paper


We compared selected thermal indices in their ability to predict heat-related mortality in Prague, Czech Republic, during the extraordinary summer 2015. Relatively, novel thermal indices—Universal Thermal Climate Index and Excess Heat Factor (EHF)—were compared with more traditional ones (apparent temperature, simplified wet-bulb globe temperature (WBGT), and physiologically equivalent temperature). The relationships between thermal indices and all-cause relative mortality deviations from the baseline (excess mortality) were estimated by generalized additive models for the extended summer season (May–September) during 1994–2014. The resulting models were applied to predict excess mortality in 2015 based on observed meteorology, and the mortality estimates by different indices were compared. Although all predictors showed a clear association between thermal conditions and excess mortality, we found important variability in their performance. The EHF formula performed best in estimating the intensity of heat waves and magnitude of heat-impacts on excess mortality on the most extreme days. Afternoon WBGT, on the other hand, was most precise in the selection of heat-alert days during the extended summer season, mainly due to a relatively small number of “false alerts” compared to other predictors. Since the main purpose of heat warning systems is identification of days with an increased risk of heat-related death rather than prediction of exact magnitude of the excess mortality, WBGT seemed to be a slightly favorable predictor for such a system.


Heat Heat-related mortality Heat warning system Thermal indices Central Europe 



Thanks are due to Bohumír Kříž and Jan Kynčl, National Institute of Public Health, for preparing epidemiological datasets, and Andreas Matzarakis, the German Meteorological Service in Freiburg, for kindly providing the RayMan Pro software. Data were provided by the Institute of Health Information and Statistics, the Czech Statistical Office, and the Czech Hydrometeorological Institute. This study was partly elaborated during Aleš Urban’s research stay at the School of Geographical Science & Urban Planning, Arizona State University. We acknowledge the excellent working conditions and support provided by the institute.

Funding information

Aleš Urban, Hana Hanzlíková and Jan Kyselý were supported by the Czech Science Foundation, project no. 18-22125S. Aleš Urban was also supported by the Czech Academy of Sciences Programme for Research and Mobility Support of Starting Researchers, project no. MSM100421604. David M. Hondula was supported by the NSF Cooperative Agreement 1444758 and NSF Award 1520803.

Supplementary material

484_2019_1684_MOESM1_ESM.doc (220 kb)
ESM 1 (DOC 220 kb)


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© ISB 2019

Authors and Affiliations

  1. 1.Institute of Atmospheric PhysicsCzech Academy of SciencesPrague 4Czech Republic
  2. 2.School of Geographical Sciences and Urban PlanningArizona State UniversityTempeUSA
  3. 3.Institute of GeophysicsCzech Academy of SciencesPrague 4Czech Republic
  4. 4.Faculty of Environmental SciencesCzech University of Life SciencesPrague 6Czech Republic
  5. 5.Global Change Research CentreCzech Academy of SciencesBrnoCzech Republic

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