EFAS upgrade for the extended model domain

This publication is a Technical report by the Joint Research Centre (JRC), the European Commission’s science and knowledge service. It aims to provide evidence-based scientific support to the European policymaking process. The scientific output expressed does not imply a policy position of the European Commission. Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use that might be made of this publication.JRC.E.1-Disaster Risk Managemen

EFAS upgrade for the extended model domain

This publication is a Technical report by the Joint Research Centre (JRC), the European Commission’s science and knowledge service. It aims to provide evidence-based scientific support to the European policymaking process. The scientific output expressed does not imply a policy position of the European Commission. Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use that might be made of this publication.JRC.E.1-Disaster Risk Managemen

Nationwide hydrological statistics for Sweden with high resolution using the hydrological model S-HYPE

A first version of nationally covering hydrological statistics for Sweden based on the S-HYPE hydrological model for the period 1961–2010 is described. A key feature of the proposed method is that observed data are used as input wherever such data are available, and the model is used for interpolation in between stations. Short observation records are automatically extended by the use of the model. High flow statistics typically differed by about ±10% from observations. The corresponding number for low flow was about ±30%. High flow peaks were usually simulated slightly too low whereas low flows were too high. In a relative sense low flows were more uncertain than high flows. The mean flow was relatively certain. The annual maximum values were fitted to a Gumbel distribution, by the method of moments, for each subbasin. Flood statistics were then calculated up to a return period of 50 years. According to a Kolmogorov–Smirnov test, less than 1% of the fitted distributions were rejected. Most rejections occurred in regulated systems, due to difficulties in simulating regulation strategies, but also due to uncertainties in the precipitation input in the mountainous region. Results at small scale are very uncertain. The proposed method is a cost-effective way of calculating hydrological statistics with high spatial resolution.</jats:p

Delirium in nursing home residents: is there a role of antidepressants? A cross sectional study.

Background: Delirium is strongly associated with poor health outcomes, yet it is frequently underdiagnosed. Limited research on delirium has been conducted in Nursing Homes (NHs). Our aim is to assess delirium prevalence and its associated factors, in particular pharmacological prescription, in this care setting. Methods: Data from the Italian "Delirium Day" 2016 Edition, a national multicenter point-prevalence study on patients aged 65 and older were analyzed to examine the associations between the prevalence of delirium and its subtypes with demographics and information about medical history and pharmacological treatment. Delirium was assessed using the Assessment test for delirium and cognitive impairment (4AT). Motor subtype was evaluated using the Delirium Motor Subtype Scale (DMSS). Results: 955 residents, from 32 Italian NHs with a mean age of 84.72 ± 7.78 years were included. According to the 4AT, delirium was present in 260 (27.2%) NHs residents, mainly hyperactive (35.4%) or mixed subtypes (20.7%). Antidepressant treatment with selective serotonin reuptake inhibitors (SSRIs) was associated with lower delirium prevalence in univariate and multivariate analyses. Conclusions: The high prevalence of delirium in NHs highlights the need to systematically assess its occurrence in this care settings. The inverse association between SSRIs and delirium might imply a possible preventive role of this class of therapeutic agents against delirium in NHs, yet further studies are warranted to ascertain any causal relationship between SSRIs intake and reduced delirium incidence