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

摘要: Spatial synoptic classification (SSC) is here first employed in assessing heat-related mortality and morbidity Central Europe. It applied for examining links between weather patterns cardiovascular (CVD) an extended summer season (16 May–15 September) during 1994–2009. As previous studies, two SSC air masses (AMs)—dry tropical (DT) moist (MT)—are associated with significant excess CVD Prague, while effects on hospital admissions are small insignificant. Excess ischaemic heart diseases more strongly DT, MT has adverse effect especially cerebrovascular mortality. Links the oppressive AMs relate also to conditions days, as DT occur typical sequences. The highest deviations found 1 day after a hot spell’s onset, when temperature well frequency of highest. Following this peak typically DT- MT-like transition, characterized by decrease increase humidity. transition upward downward (MT) phases largest mortality, change contributes increased lagged study highlights importance critically evaluating SSC’s applicability benefits within warning systems relative other epidemiological approaches. Only subset days regression models accounting possible meteorological factors explain little variance.