2014
DOI: 10.1186/1476-069x-13-60
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Health impact of the 2008 cold spell on mortality in subtropical China: the climate and health impact national assessment study (CHINAs)

Abstract: BackgroundMany studies have investigated heat wave related mortality, but less attention has been given to the health effects of cold spells in the context of global warming. The 2008 cold spell in China provided a unique opportunity to estimate the effects of the 2008 cold spell on mortality in subtropical regions, spatial heterogeneity of the effects, stratification effect and added effects caused by sustained cold days.MethodsThirty-six study communities were selected from 15 provinces in subtropical China.… Show more

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Cited by 83 publications
(54 citation statements)
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“…To completely capture the overall effects of cold spell exposure, a lag structure of up to 27 days was fitted, which is consistent with previous studies923. Here, CS was separately defined by two thresholds of mean daily temperature (5 th and 2.5 th percentiles) that were used to represent different cold spell intensities; ns means the natural cubic spline function; WS t refers to the daily average wind speed with 3 df s; Another 3 dfs were used to smooth year, calendar month and day to control for secular and seasonal trends; DOW is a dummy variable representing day of the week, and η is vector of coefficients.…”
Section: Methodsmentioning
confidence: 62%
See 3 more Smart Citations
“…To completely capture the overall effects of cold spell exposure, a lag structure of up to 27 days was fitted, which is consistent with previous studies923. Here, CS was separately defined by two thresholds of mean daily temperature (5 th and 2.5 th percentiles) that were used to represent different cold spell intensities; ns means the natural cubic spline function; WS t refers to the daily average wind speed with 3 df s; Another 3 dfs were used to smooth year, calendar month and day to control for secular and seasonal trends; DOW is a dummy variable representing day of the week, and η is vector of coefficients.…”
Section: Methodsmentioning
confidence: 62%
“…The original source of mortality data were death certificates, which included the causes and dates of death, gender and age. Causes of death were categorized using the International Classification of Diseases 10 th Revision (ICD–10 codes: A00–R99 for non-accidental diseases)23. The codes J00–J99 represent respiratory diseases (RESP), the codes I00-I99 represent cardiovascular diseases (CVD), and the codes I60-I69 represent cerebrovascular diseases (CBD).…”
Section: Methodsmentioning
confidence: 99%
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“…For example, for China, 148 279 excess deaths were attributed to an unusual cold spell in 2008, resulting in an increased mortality of 44%, with the highest effects in southern and central China (Ma et al 2013;Xie et al 2013;Zhou et al 2014). Similarly, for Italy in February 2012, an anomalous period of low temperatures resulted in a 25% increase in mortality among the 751 age group across 14 cities (de'Donato et al 2013).…”
Section: Introductionmentioning
confidence: 99%