scholarly journals An attempt to optimize human resources allocation based on spatial diversity of the first wave of COVID–19 in Poland

E-methodology ◽  
2021 ◽  
Vol 7 (7) ◽  
pp. 100-122
Author(s):  
ANDRZEJ JARYNOWSKI ◽  
MONIKA WÓJTA-KEMPA ◽  
ŁUKASZ KRZOWSKI
Keyword(s):  
Human Resources ◽  
Spatial Clustering ◽  
The Elderly ◽  
Spatial Diversity ◽  
Arrival Times ◽  
Infection Dynamics ◽  
Socio Economic Variables ◽  
General Mobility ◽  
The Relationship ◽  
Second Wave

Aim. Our task was to examine the relationship between the SARS–CoV–2 arrival and the number of confi rmed COVID–19 cases in the fi rst wave (period from March 4 to May 22, 2020 (unoffi cial data)), and socio–economic variables at the powiat (county) level.Methods. We were using simple statistical techniques such as data visualisation, correlation analysis, spatial clustering and multiple linear regression.Results. We showed that immigration and the logarithm of general mobility was the best predictor of SARS–CoV–2 arrival times, while emigration, industrialisation and air quality explain most of the size of the epidemic in poviats. On the other hand, infection dynamics is driven to a lesser extent by previously postulated variables such as population size and density, income or the size of the elderly population.Conclusions. Our analyses could support Polish authorities in preparation for the second wave of infections and optimal management of resources as we have provided a proposition of optimal distribution of human resources between poviats. Although this isa retrospective analysis of the initial phase of the epidemic, similar patterns could repeat in case of new variants of SARS–CoV–2 or new respiratory disease for immunologically naive populations.

scholarly journals An attempt to optimize human resources allocation based on spatial diversity of COVID-19 cases in Poland

2020 ◽  
Author(s):  
Andrzej Jarynowski ◽  
Monika Wójta-Kempa ◽  
Łukasz Krzowski
Keyword(s):  
Human Resources ◽  
Spatial Clustering ◽  
The Elderly ◽  
Spatial Diversity ◽  
Arrival Times ◽  
Infection Dynamics ◽  
Socio Economic Variables ◽  
General Mobility ◽  
The Relationship ◽  
Second Wave

AbstractOur task is to examine the relationship between the SARS-CoV-2 arrival and the number of confirmed COVID-19 cases in the first wave (period from March 4 to May 22, 2020 (unofficial data)), and socio-economic variables at the powiat (county) level (NUTS-4) using simple statistical techniques such as data visualization, correlation analysis, spatial clustering and multiple linear regression. We showed that immigration and the logarithm of general mobility is the best predictor of SARS-CoV-2 arrival times, while emigration, industrialization and air quality explain the most of the size of the epidemic in poviats. On the other hand, infection dynamics is driven to a lesser extent by previously postulated variables such as population size and density, income or the size of the elderly population. Our analyses could support Polish authorities in preparation for the second wave of infections and optimal management of resources as we have provided a proposition of optimal distribution of human resources between poviats.

Spatial diversity of demographic aging in Poland

2016 ◽  
Vol 61 (2) ◽  
pp. 62-72
Author(s):  
Małgorzata Podogrodzka
Keyword(s):  
Age Structure ◽  
Age Groups ◽  
The Elderly ◽  
Spatial Diversity ◽  
Explanatory Variables ◽  
Younger Age ◽  
Demographic Aging ◽  
The Relationship ◽  
Test Objects ◽  
Two Age Groups

In the assessment of the demographic age and ageing a lot of measures are being exploited. Among the most commonly used may be mentioned those which express the relationship between the number of people in two age groups (the elderly and the general population or younger age group). Rarely are used such measures, which take into account all the age structure of the population. The article presents a new method to analyze spatial diversity of the population age structure using the method of agglomeration with the Euclidean metric. The test objects were the voivodships (provinces), and the explanatory variables were five-year age groups (20 variables). In addition, a hypothetical business was introduced, which has a regressive age structure. Its introduction allowed for an evaluation of how the test regions differ not only among themselves, but also how far they deviate from the pattern of development of the Polish population. Considerations were conducted separately for men and women and the 1991, 2001, 2011.

scholarly journals Modelling of COVID-19 pandemic vis-a-vis some socioeconomic factors

2021 ◽  
Author(s):  
Kayode Oshinubi ◽  
Mustapha rachdi ◽  
Jacques Demongeot
Keyword(s):  
Gini Index ◽  
Social Economic ◽  
Economic Status ◽  
Economic Data ◽  
Economic Determinants ◽  
Socio Economic Status ◽  
Sharp Difference ◽  
Socio Economic Variables ◽  
The Relationship ◽  
Second Wave

The impacts of COVID-19 outbreak on socio-economic status of countries across the globe cannot be overemphasized as we examine the role it played in various countries. A lot of people were out of jobs, many households were careful of their spending and a greater social fracture of the population in fourteen different countries has emerged. We considered periods of infection spread during the first and second wave in Organization for Economic Co-operation and Development (OECD) countries and countries in Africa, that is developed and developing countries alongside their social-economic data. We established a mathematical and statistical relationship between Theil and Gini index, then we studied the relationship between the data from epidemiology and socio-economic determinants using several machine learning and deep learning methods. High correlations were observed between some of the socio-economic and epidemiologic parameters and we predicted three of the socio-economic variables in order to validate our results. These result shows a sharp difference between the first and second wave of the pandemic confirming the real dynamics of the spread of the outbreak in several countries and ways by which it was mitigated.

scholarly journals Modeling of COVID-19 Pandemic vis-à-vis Some Socio-Economic Factors

2022 ◽  
Vol 7 ◽  
Author(s):  
Kayode Oshinubi ◽  
Mustapha Rachdi ◽  
Jacques Demongeot
Keyword(s):  
Economic Status ◽  
Epidemiological Data ◽  
Economic Determinants ◽  
Socio Economic Variables ◽  
Social Divide ◽  
Spread Of Infection ◽  
The Impact ◽  
The Relationship ◽  
Second Wave ◽  
Socio Economic Factors

The impact of the COVID-19 epidemic on the socio-economic status of countries around the world should not be underestimated, when we consider the role it has played in various countries. Many people were unemployed, many households were careful about their spending, and a greater social divide in the population emerged in 14 different countries from the Organization for Economic Co-operation and Development (OECD) and from Africa (that is, in developed and developing countries) for which we have considered the epidemiological data on the spread of infection during the first and second waves, as well as their socio-economic data. We established a mathematical relationship between Theil and Gini indices, then we investigated the relationship between epidemiological data and socio-economic determinants, using several machine learning and deep learning methods. High correlations were observed between some of the socio-economic and epidemiological parameters and we predicted three of the socio-economic variables in order to validate our results. These results show a clear difference between the first and the second wave of the pandemic, confirming the impact of the real dynamics of the epidemic’s spread in several countries and the means by which it was mitigated.

The relationship between alexithymia, cognitive deterioration and chronic illness in the elderly

2012 ◽  
Author(s):  
Antonia Gomez-Conesa ◽  
Maria Virgilia Anton Anton ◽  
Daniel Jesus Catalan Matamoros
Keyword(s):  
Chronic Illness ◽  
The Elderly ◽  
Cognitive Deterioration ◽  
The Relationship

İNSAN KAYNAKLARI YÖNETİCİLERİNİN LİDERLİK TARZI, YARATICI PROBLEM ÇÖZME KAPASİTESİ VE KARİYER TATMİNİ ARASINDAKİ İLİŞKİLERİN ARAŞTIRILMASI: AMPİRİK BİR ÇALIŞMA

2016 ◽  
Vol 4 (3) ◽  
Author(s):  
Hüseyin YILMAZ
Keyword(s):  
Problem Solving ◽  
Human Resources ◽  
Leadership Style ◽  
Career Satisfaction ◽  
Leadership Behavior ◽  
Future Research ◽  
Creative Problem Solving ◽  
Democratic Leadership ◽  
Creative Problem ◽  
The Relationship

The aim of this study is the creative problem-solving capacity of the organization with leadership behaviors of human resources managers and employees to examine the relationship between career satisfaction and is tested empirically. Research within the scope of the required data structured questionnaire method, operating in the province of Aydin was obtained from 130 employees working in five star hotels. Democratic leadership style according to the factor analysis, easygoing, participants converter, and releasing autocratic leadership dimensions were determined. According to the analysis, the dependent variable with a significant level of research and positive leadership style has been determined that no relationships. Regression analysis revealed that the leadership of the relationship with the creative problem-solving capacity of democratic leadership in style when found to be stronger than other leadership styles, while the variable describing the career of the employee satisfaction level of the maximum it was concluded that the creative problem-solving capacity of the organization. Research in the context of human resources on the very important for organizations, leadership behavior, creative problem-solving capacity and career satisfaction studies analyzing the relationships between variables it seems to be quite limited. The discovery by analyzing the relationship between the aforementioned variables, can make significant contributions to knowledge in the literature and are expected to form the basis for future research.

Verification of the Relationship between Stepping Ability for Avoiding Falls and the Ten-Step Test in the Elderly

2020 ◽  
Vol 35 (4) ◽  
pp. 545-549
Author(s):  
Kengo OKAWARA ◽  
Yoshinobu YOSHIMOTO ◽  
Ryota ASHIZAWA ◽  
Kazuma YAMASHITA ◽  
Koki TAKE ◽  
...  
Keyword(s):  
The Elderly ◽  
Step Test ◽  
The Relationship

The mediating effect of job engagement on the relationship between psychological empowerment and social enterprise sustainability

2019 ◽  
Vol 118 (8) ◽  
pp. 347-355
Author(s):  
Hye- RimPark ◽  
Yen-Yoo You
Keyword(s):  
Human Resources ◽  
Social Enterprise ◽  
Psychological Empowerment ◽  
Social Enterprises ◽  
Mediating Effect ◽  
Limited Resources ◽  
Job Engagement ◽  
Non Profit ◽  
The Poor ◽  
The Relationship

Unlike non-profit organizations, social enterprises must be sustainable through profit-making activities in order to pursue social purposes.However, the most important of the poor limited resources is also human resources, and for the efficient use of human resources, empowerment should be given to members. This study proves whether job engagement mediates the effect on sustainability when psychological empowerment is given to employees in social enterprises.

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