Application of spatial synoptic classification in evaluating links between heat stress and cardiovascular mortality and morbidity in Prague, Czech Republic

0447166 - ÚFA 2018 RIV DE eng J - Journal Article
Urban, Aleš - Kyselý, Jan
Application of spatial synoptic classification in evaluating links between heat stress and cardiovascular mortality and morbidity in Prague, Czech Republic.
International Journal of Biometeorology. Roč. 62, č. 1 (2018), s. 85-96. ISSN 0020-7128. E-ISSN 1432-1254
R&D Projects: GA ČR(CZ) GAP209/11/1985
Institutional support: RVO:68378289
Keywords : spatial synoptic classification * mortality * morbidity * cardiovascular diseases * Central Europe
OECD category: Meteorology and atmospheric sciences
Impact factor: 2.377, year: 2018
Method of publishing: Limited access
http://link.springer.com/article/10.1007%2Fs00484-015-1055-1

Spatial synoptic classification (SSC) is here first employed in assessing heat-related mortality and morbidity in Central Europe. It is applied for examining links between weather patterns and cardiovascular (CVD) mortality and morbidity in an extended summer season (16 May–15 September) during 1994–2009. As in previous studies, two SSC air masses (AMs)—dry tropical (DT) and moist tropical (MT)—are associated with significant excess CVD mortality in Prague, while effects on CVD hospital admissions are small and insignificant. Excess mortality for ischaemic heart diseases is more strongly associated with DT, while MT has adverse effect especially on cerebrovascular mortality. Links between the oppressive AMs and excess mortality relate also to conditions on previous days, as DT and MT occur in typical sequences. The highest CVD mortality deviations are found 1 day after a hot spell’s onset, when temperature as well as frequency of the oppressive AMs are highest.
Permanent Link: http://hdl.handle.net/11104/0249093