Search results for "disease cluster"
showing 10 items of 101 documents
A Full-Scale Agent-Based Model to Hypothetically Explore the Impact of Lockdown, Social Distancing, and Vaccination During the COVID-19 Pandemic in L…
2021
Background The COVID-19 outbreak, an event of global concern, has provided scientists the opportunity to use mathematical modeling to run simulations and test theories about the pandemic. Objective The aim of this study was to propose a full-scale individual-based model of the COVID-19 outbreak in Lombardy, Italy, to test various scenarios pertaining to the pandemic and achieve novel performance metrics. Methods The model was designed to simulate all 10 million inhabitants of Lombardy person by person via a simple agent-based approach using a commercial computer. In order to obtain performance data, a collision detection model was developed to enable cluster nodes in small cells that can b…
Neural Network-Based Process Analysis in Sport
2011
Processes in sport like motions or games are influenced by communication, interaction, adaptation, and spontaneous decisions. Therefore, on the one hand, those processes are often fuzzy and unpredictable and so have not extensively been dealt with, yet. On the other hand, most of those processes structurally are roughly determined by intention, rules, and context conditions and so can be classified by means of information patterns deduced from data models of the processes. Self organizing neural networks of type Kohonen Feature Map (KFM) help for classifying information patterns – either by mapping whole processes to corresponding neurons (see Perl & Lames, 2000; McGarry & Perl, 200…
Emotions and visitors’ satisfaction at a museum
2014
Purpose – This research aims to investigate whether emotions can be considered as a suitable variable to segment visitors at a museum. Furthermore, it seeks to analyse whether emotions influence visitor satisfaction and whether this depends on objective variables (such as age, gender and level of education) or not. Design/methodology/approach – A structured questionnaire was developed and data were collected at the National Museum of Archaeology “G.A. Sanna” in Sardinia (Italy) via 410 face-to-face interviews. Hierarchical and non-hierarchical cluster analyses and a series of chi-squared tests were run for the purpose of the study. Findings – Two segments were identified. The cluster with …
A statistical model for predicting the inter-annual variability of birch pollen abundance in Northern and North-Eastern Europe
2018
The paper suggests a methodology for predicting next-year seasonal pollen index (SPI, a sum of daily-mean pollen concentrations) over large regions and demonstrates its performance for birch in Northern and North-Eastern Europe. A statistical model is constructed using meteorological, geophysical and biological characteristics of the previous year). A cluster analysis of multi-annual data of European Aeroallergen Network (EAN) revealed several large regions in Europe, where the observed SPI exhibits similar patterns of the multi-annual variability. We built the model for the northern cluster of stations, which covers Finland, Sweden, Baltic States, part of Belarus, and, probably, Russia and…
Differences in mosquito (Diptera: Culicidae) biodiversity across varying climates and land-use categories in Eastern Spain
2011
Intensive larval samplings of mosquitoes (Diptera: Culicidae) were carried out between 2005 and 2008 in several biotopes located in a varying climate region in Eastern Spain. The biodiversity was analyzed and divided into alpha, beta and gamma components with the aim of comparing the mosquito biodiversity according to the different structure of the landscape due to the incidence of climatic and anthropic patterns. Likewise the synanthropic index of Nuorteva was calculated for each species. A total of 11,279 mosquitoes belonging to 29 species was collected and identified. Mosquito biodiversity is higher in the wettest and nonanthropized areas. Using a cluster analysis, all this information w…
EFFECT OF CANOPY MANAGEMENT TECHNIQUES ON THE NUTRITIONAL QUALITY OF MONTEPULCIANO GRAPEVINE IN PUGLIA (SOUTHERN ITALY)
2012
<p style="text-align: justify;"><strong>Aims</strong>: Tests were carried out to assess the effects of early defoliation, cluster thinning and cluster cutting on the basic and nutritional composition of musts and wines of <em>Vitis vinifera</em> L. cv. Montepulciano.</p><p style="text-align: justify;"><strong>Methods and results</strong>: Both production and quality variables of the musts were evaluated. Antioxidant activity was determined on berries and on wines, as were the phenol and anthocyanin concentrations. The wines were compared by sensory evaluation. The results attested to a positive effect of the treatments on grape compositi…
Preclinical carotid atherosclerosis enhances the global cardiovascular risk and increases the rate of cerebro- and cardiovascular events in a five-ye…
2009
AIM: To evaluate if the intima-media thickening (IMT) and asymptomatic carotid plaque (ACP), as expression of carotid preclinical atherosclerosis (pre-ATS), can provide further information on the global cardiovascular risk (GCVR). METHODS: We studied 454 asymptomatic subjects, with a cluster of risk factors (RF), and evaluated the incidence of a first cardiovascular (CV) event in a five-year follow-up. The subjects at admission were subdivided in three groups of risk. RESULTS: Events occurred in 38% of subjects at high risk, in 13% and 6% of subjects at intermediate and low risk (p<0.003). Among evaluated parameters, carotid pre-ATS was a predictive marker of CV events (OR 2.7, 95% IC 1.4-5…
Determinants of between-hospital variations in outcomes for patients admitted with COPD exacerbations: findings from a nationwide clinical audit (AUD…
2015
Background Previous studies have demonstrated significant variability in the processes of care and outcomes of chronic obstructive pulmonary disease (COPD) exacerbations. The AUDIPOC is a Spanish nationwide clinical audit that identified large between-hospital variations in care and clinical outcomes. Here, we test the hypothesis that these variations can be attributed to either patient characteristics, hospital characteristics and/or the so-called hospital-clustering effect, which indicates that patients with similar characteristics may experience different processes of care and outcomes depending on the hospital to which they are admitted. Methods A clinical audit of 5178 COPD patients co…
Applicability of the Poisson distribution to model the data of the German Children's Cancer Registry.
1995
Since 1980 the German Children's Cancer Registry has documented all childhood malignancies in the Federal Republic of Germany. Various statistical procedures have been proposed to identify municipalities or other geographic units with increased numbers of malignancies. Usually the Poisson distribution, which requires the malignancies to be distributed homogeneously and uncorrelated, is applied. Other discrete statistical distributions (so-called cluster distributions) like the generalized or compound Poisson distributions are applicable more generally. In this paper we present a first explorative approach to the question of whether it is necessary to use one of these cluster distributions t…
A Bayesian unified framework for risk estimation and cluster identification in small area health data analysis.
2020
Many statistical models have been proposed to analyse small area disease data with the aim of describing spatial variation in disease risk. In this paper, we propose a Bayesian hierarchical model that simultaneously allows for risk estimation and cluster identification. Our model formulation assumes that there is an unknown number of risk classes and small areas are assigned to a risk class by means of independent allocation variables. Therefore, areas within each cluster are assumed to share a common risk but they may be geographically separated. The posterior distribution of the parameter representing the number of risk classes is estimated using a novel procedure that combines its prior …