Background: In the UK, the 2009/10 winter was characterised by sustained low temperatures; grit stocks became depleted and surfaces left untreated. We describe the relationship between temperature and emergency hospital admissions for falls on snow and ice in England, identify the age and gender of those most likely to be admitted, and estimate the inpatient costs of these admissions during the 2009/10 winter.
Methods: Hospital Episode Statistics were used to identify episodes of emergency admissions for falls on snow and ice during winters 2005/06 to 2009/10; these were plotted against mean winter temperature. By region, the logs of the rates of weekly emergency admissions for falls on snow and ice were plotted against the mean weekly temperature for winters 2005/06 to 2009/10 and a linear regression analysis undertaken. For the 2009/10 winter the number of emergency hospital admissions for falls on snow and ice were plotted by age and gender. The inpatient costs of admissions in the 2009/10 winter for falls on snow and ice were calculated using Healthcare Resource Group costs and Admitted Patient Care 2009/10 National Tariff Information.
Results: The number of emergency hospital admissions due to falls on snow and ice varied considerably across years; the number was 18 times greater in 2009/10 (N = 16,064) than in 2007/08 (N = 890). There is an exponential increase [Ln(rate of admissions) = 0.456 - 0.463*(mean weekly temperature)] in the rate of emergency hospital admissions for falls on snow and ice as temperature falls. The rate of admissions in 2009/10 was highest among the elderly and particularly men aged 80 and over. The total inpatient cost of falls on snow and ice in the 2009/10 winter was 42 million GBP.
Conclusions: Emergency hospital admissions for falls on snow and ice vary greatly across winters, and according to temperature, age and gender. The cost of these admissions in England in 2009/10 was considerable. With responsibility for health improvement moving to local councils, they will have to balance the cost of public health measures like gritting with the healthcare costs associated with falls. The economic burden of falls on snow and ice is substantial; keeping surfaces clear of snow and ice is a public health priority.
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http://dx.doi.org/10.1186/1476-069X-10-60 | DOI Listing |
Sci Rep
January 2025
Department of Astronomy, Astrophysics and Space Engineering, Indian Institute of Technology Indore, Indore, Madhya Pradesh, 453552, India.
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January 2025
UNESCO Centre of Water Law, Policy & Science, University of Dundee, Dundee, UK.
Understanding snow and ice melt dynamics is vital for flood risk assessment and effective water resource management in populated river basins sourced in inaccessible high-mountains. This study provides an AI-enabled hybrid approach integrating glacio-hydrological model outputs (GSM-SOCONT), with different machine learning and deep learning techniques framed as alternative 'computational scenarios, leveraging both physical processes and data-driven insights for enhanced predictive capabilities. The standalone deep learning model (CNN-LSTM), relying solely on meteorological data, outperformed its counterpart machine learning and glacio-hydrological model equivalents.
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January 2025
ESA-ESRIN, Frascati, Rome, Italy.
Sea ice thickness is an essential variable to understand and forecast the dynamic ice cover and can be estimated by satellite altimetry. Nevertheless, it is affected by uncertainties especially from snow depth, a key parameter to derive it from ice freeboard. We developed a snow depth product based on the differences between CryoSat-2 SAR Ku and IceSat-2 laser altimeters which have different snow penetration capabilities.
View Article and Find Full Text PDFNat Commun
January 2025
Centro de Astrobiologia (CAB), INTA-CSIC, Torrejón de Ardoz, Madrid, Spain.
Microorganisms are present in snow/ice of the Antarctic Plateau, but their biogeography and metabolic state under extreme local conditions are poorly understood. Here, we show the diversity and distribution of microorganisms in air (1.5 m height) and snow/ice down to 4 m depth at three distant latitudes along a 2578 km transect on the East Antarctic Plateau on board an environmentally friendly, mobile platform.
View Article and Find Full Text PDFSci Total Environ
February 2025
Trent University, Peterborough, Ontario, Canada.
Arctic rivers may be the largest net sources of mercury (Hg) to the Arctic Ocean, yet riverine sources of Hg remain poorly characterized compared to atmospheric processes. This article reviews the current state of knowledge on Hg inputs to the Mackenzie River and Valley in Northern Canada from six point and non-point sources. Point sources include the locations of mines, fossil fuel extraction facilities, and retrogressive permafrost thaw slumps.
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