Search results for "disease cluster"
showing 10 items of 101 documents
Perceived Decrease in Workplace Security Since the Beginning of the COVID-19 Pandemic: The Importance of Management Styles and Work-Related Attitudes
2021
The coronavirus disease 2019 (COVID-19) pandemic has reduced the sense of security of people in everyday life. The efforts of managers in the workplace to minimize the health risks and economic damage, however, can provide the employees with a greater sense of security. The aim of this study was to identify the types of workplace responses to the pandemic outbreak with respect to the characteristics of employees and their employers accomplishing the differences in subjective sense of workplace security before the pandemic and during the outbreak. Three hundred and thirty-seven Polish employees completed an online survey during the first 2 weeks of the COVID-19 pandemic in March 2020. Using …
A New Approach to Investigate Students’ Behavior by Using Cluster Analysis as an Unsupervised Methodology in the Field of Education
2016
The problem of taking a set of data and separating it into subgroups where the ele- ments of each subgroup are more similar to each other than they are to elements not in the subgroup has been extensively studied through the statistical method of cluster analysis. In this paper we want to discuss the application of this method to the field of education: particularly, we want to present the use of cluster analysis to separate students into groups that can be recognized and characterized by common traits in their answers to a questionnaire, without any prior knowledge of what form those groups would take (unsupervised classification). We start from a detailed study of the data processing need…
Euro Area Structural Convergence? A Multi-Criterion Cluster Analysis
2015
Abstract This paper proposes a classification of the old member countries of the euro area in a structural data rich environment and run a convergence analysis using the same framework. First, we use a clustering approach and identify two structurally distinct clusters of countries that are not modified between 1999 and 2012: the South Countries Group (SCG) – composed of Greece, Italy, Portugal and Spain – and the Other Countries Group (OCG). Second, we propose a convergence metrics and reach three key findings: (i) increase over time of the between-clusters׳ dispersion; (ii) diverging demographics and innovation performance into the OCG, and (iii) an unfortunate convergence towards high la…
Effect of A Healthy Body Image intervention on risk- and protective factors for eating disorders: A cluster randomized controlled trial
2021
Accepted manuscript version, licensed CC BY-NC-ND 4.0. Objective - To investigate the immediate and 12-months effects of a school-based intervention aiming to reduce risk and enhance protective factors for eating disorder development in high school boys and girls. Method - In total, 4,149 adolescents from 30 high schools were eligible for inclusion and 2,446 consented to participate and were randomly allocated to the Healthy Body Image (HBI) intervention or a control group (classes as usual). The HBI intervention is multicomponent consisting of three workshops targeting body image, social media usage and lifestyle. Linear mixed model and intention-to-treat analyses were applied to investiga…
Analysing the conceptions on modelling of engineering undergraduate students: A case study using cluster analysis
2016
The problem of taking a set of data and separating it into subgroups where the elements of each subgroup are more similar to each other than they are to elements not in the subgroup has been extensively studied through the statistical method of Cluster Analysis . This method can be conveniently used to separate students into groups that can be recognized and characterized by common traits in their answers, without any prior knowledge of what form those groups would take (unsupervised classification). In the last years many studies examined the consistency of students’ answers in a variety of situations. Some of these papers have tried to develop more detailed models of the consistency of st…
Forms and Functions of the Real Estate Market of Palermo (Italy). Science and Knowledge in the Cluster Analysis Approach
2016
The analysis of the housing market of a city requires suitable approaches and tools, such as data mining models, to represent its complexity which derives on many elements, e.g. the type of capital asset-house is a common good and an investment good as well, the heterogeneity of the urban areas—each of them has own historical and representative values and different urban functions—and the variability of building quality. The housing market of the most densely populated area of Palermo (Italy), corresponding to ten districts, is analyzed to verify the degree of its inner homogeneity and the relations between the quality of the characteristics and the price of the properties. Five hundred set…
The Use of Cluster Analysis to Segment Clients of a Sport Center in Spain
2005
Abstract This research examines the motivation profiles of 218 consumers at a sport center in Valencia, Spain. We employed the Motivation in Sport Scale (MISS–Sport Center) with the following eight motives (factors): Positive Affect, Social Contact, Physical Exercise, Coping Strategy, Challenge, Body Image, Competition, and Entertainment. There were significant differences in consumers’ motives across gender, age, and marital status. We identified five motivation profiles using the eight motives of MISS–Sport Center: Non-Competitive Leisure-Oriented Exercisers, Practical Social Entertainers, Affective Users, Enthusiastic Sportspersons, and Passive Participants. There were differences in dem…
Identifying the characteristics of China’s maritime trading partners on the basis of bilateral shipping connectivity: a cluster analysis
2021
China is ranked as the number one maritime connected country in the world. This study attempts to analyse the characteristics of its 155 maritime trading partners. Five components of maritime conne...
Segmentación y comportamiento de lealtad de los pacientes: un análisis clúster en los departamentos de salud de la Comunidad Valenciana
2018
Under a health ser vice framework marked by the territory segmentation and the coexistence of public administration and publicprivate ventures, it makes sense to analyze and classif y the health ser vice departments by considering the following objectives: to know the way patients actually behave when the choice of the ser vice place is up to themselves; to adapt the ser vice offer to the patient’s preferences; and to organize health ser vice based on the territory location, thus considering its influence on the management model. Secondary data from the Valencian Community (over two million data) are used in the cluster analysis of the patient loyal behavior (entering , retention and drop ou…
Knowledge management in developing regions: the case of Valle de Aburrá, Colombia
2019
This study aims to identify the components of a knowledge management (KM) model to support innovation governance in a Colombian cosmetics cluster. The inter-organisational management of knowledge applied to innovation governance, and the perspective of endogenous economic development emphasises the structural specificities of developing countries. In line with this objective, the community-based participatory research (CBPR) and Delphi methods were combined to collect information from the cluster's different stakeholders, among them dependent shareholders who expressed their views through spokespersons. In an initial stage, a knowledge management model was built. After a second stage with a…