background chlamydia pneumoniae has been linked with increased risk of cardiovascular diseases; however, data on stroke and cerebrovascular accidents are sparse. objectives the aim of this study was to determine the association between c. pneumoniae infection and ischemic stroke. patients and methods in a case-control study, 141 patients, admitted with ischemic stroke, were compared with gender...

Clustering and classification approaches have been commonly applied in reducing the heterogeneity in accident data. As part of an effort to understand the features of the heterogeneity, this study assessed accident data from the perspective of accident occurrences. Using the rule-based classification method, rough set theory, rules were derived which consisted of indispensable factors to certai...

Objectives. To examine the utilisation pattern of accident and emergency services and to study the possible impact of a user-fee policy on non-emergency attendances in Hong Kong. Design. Retrospective study. Methods. Four different scenarios are postulated to examine the impact on the number of accident and emergency attendances of a user-fee policy from 2000 to 2029. Patient volume data of acc...

Accident prediction models (APMs) have been extensively used in site ranking with the objective of identifying accident hotspots. Previously this has been achieved by using a univariate count data or a multivariate count data model (e.g. multivariate Poisson-lognormal) for modelling the number of accidents at different severity levels simultaneously. This paper proposes an alternative method to...

Iodine radionuclides in accident releases under severe accident conditions at NPP with VVER are the most radiationimportant with a view to population dose generation at the beginning of the accident. To decrease radiation consequences of severe accidents the technical solutions for severe accidents management have been proposed in MIR.1200 project, with consideration of the measures for suppres...

Accident models play a critical role in accident investigation and analysis. Most traditional models are based on an underlying chain of events. These models, however, have serious limitations when used for complex, socio-technical systems. Previously, Leveson proposed a new accident model (STAMP) based on system theory where the basic concept is not an event but a constraint. This paper shows ...

Environmental justice advocates in the US and internationally have argued that hazardous materials industries are a source of significant community disruption and environmental hazard. Few of these studies, however, have examined firms' accident frequencies or how accidents are distributed across metropolitan regions. This research argues that accident frequencies differ significantly among fir...

An “atypical” accident scenario is a scenario deviating from normal expectations and, thus, not deemed credible by common processes of risk assessment. Past experience shows that non identified accident scenarios as such represent a latent risk for industry and society and sometimes their occurrence can lead to consequences of unexpected extent. An evident example of an atypical accident was th...

This paper aims to spatially differentiate the road accident risk associated with living at a certain place of residence. Official accident data usually record the place the accident occurred, but not the casualties' places of residence. Among those involved in an accident at a certain place there may obviously be some non-residents, such as in-commuters and transients. Hence spatial analysis b...