Application of spatial synoptic classification in evaluating links between heat stress and cardiovascular mortality and morbidity in Prague, Czech Republic
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články
PubMed
26337727
DOI
10.1007/s00484-015-1055-1
PII: 10.1007/s00484-015-1055-1
Knihovny.cz E-zdroje
- Klíčová slova
- Cardiovascular diseases, Central Europe, Morbidity, Mortality, Spatial synoptic classification,
- MeSH
- kardiovaskulární nemoci epidemiologie mortalita MeSH
- lidé MeSH
- morbidita MeSH
- počasí * MeSH
- poruchy vyvolané tepelným stresem epidemiologie mortalita MeSH
- velkoměsta epidemiologie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika epidemiologie MeSH
- velkoměsta epidemiologie MeSH
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. Following this peak is typically DT- to MT-like weather transition, characterized by decrease in temperature and increase in humidity. The transition between upward (DT) and downward (MT) phases is associated with the largest excess CVD mortality, and the change contributes to the increased and more lagged effects on cerebrovascular mortality. The study highlights the importance of critically evaluating SSC's applicability and benefits within warning systems relative to other synoptic and epidemiological approaches. Only a subset of days with the oppressive AMs is associated with excess mortality, and regression models accounting for possible meteorological and other factors explain little of the mortality variance.
Faculty of Environmental Sciences Czech University of Life Sciences Prague Czech Republic
Faculty of Science Charles University Albertov 6 128 43 Prague 2 Czech Republic
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Spatial Patterns of Heat-Related Cardiovascular Mortality in the Czech Republic
