2008
DOI: 10.1007/s00484-008-0166-3
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Decreased impacts of the 2003 heat waves on mortality in the Czech Republic: an improved response?

Abstract: The paper examines impacts on mortality of heat waves in 2003, the hottest summer on record in the Czech Republic, and compares them with previous similar events. While most summer heat waves over the period since 1986 were associated with significantly elevated mortality, this was not the case for three out of the four heat waves in 2003. The relatively weak mortality response was particularly noteworthy for the most severe heat wave which occurred in the first 10 days of August 2003 and resulted in enormous … Show more

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Cited by 68 publications
(81 citation statements)
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References 67 publications
(112 reference statements)
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“…Kyselý, 2004;Hutter et al, 2007;Kyselý and Kříž, 2008;Matzarakis et al, 2011;Stanojević et al, 2014). The highest relative increases during the individual heat periods exceeded 20%, which is also similar to other Central European studies (Kyselý, 2004;Páldy et al, 2005).…”
Section: Overall Long-term Heat Impacts On Mortalitysupporting
confidence: 89%
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“…Kyselý, 2004;Hutter et al, 2007;Kyselý and Kříž, 2008;Matzarakis et al, 2011;Stanojević et al, 2014). The highest relative increases during the individual heat periods exceeded 20%, which is also similar to other Central European studies (Kyselý, 2004;Páldy et al, 2005).…”
Section: Overall Long-term Heat Impacts On Mortalitysupporting
confidence: 89%
“…Baseline daily mortality values were calculated based on the methodology used over a longer period of time in the biometeorological research in the Czech Republic (e.g. Kyselý, 2004;Kyselý and Kříž, 2008;Kyselý and Plavcová, 2012; the latest exact procedure is described in detail, for example, in the study by Hanzlíková et al, in press).…”
Section: Mortality Datamentioning
confidence: 99%
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“…At this point, the gradient algorithm for back-propagation of the output layer error is applied until the first hidden layer, simultaneously updating the value of the weights, according to the deepest-descent gradient formula [4].…”
Section: Artificial Neural Networkmentioning
confidence: 99%