scholarly journals Socio-Economic Factors Affecting the Regional Spread and Out-break of COVID-19 in China

2021 ◽  
Author(s):  
Liren Yang ◽  
Cuifang Qi ◽  
Zixuan Yang ◽  
Li Shang ◽  
Guilan Xie ◽  
...  
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Urban Population ◽  
Economic Factors ◽  
Wuhan City ◽  
Factors Affecting ◽  
Second Stage ◽  
Imported Cases ◽  
The Impact ◽  
Socio Economic Factors

Background: This study investigated the impact of socio-economic factors on the spread and outbreak of COVID-19 based on Chinese data. Methods: Cumulative confirmed cases were collected and divided into the First-stage cases cluster dominated by imported cases, and the Second-stage cases cluster dominated by secondary cases, according to the time of emergency state and Wuhan city lockdown. The linear regression was used for data analysis. Results: A total of 12,877 cases in 30 provinces were analyzed in the study. The First-stage cases cluster included 675 cases and Second-stage cases cluster included 12,202 cases. The socio-economic factors were significantly associated with the cases (P<0.05). The GDP and proportion of population moving out of Wuhan were associate with the First-stage dominated by imported cases (b>0, P<0.05). The First-stage cases cluster, proportion of population moving out of Wuhan and urban population were associate with the Second-stage dominated by secondary cases (b>0, P<0.05). Conclusion: Socio-economic factors had impacts on the spread and outbreak of COVID-19. The combination of different socio-economic indicators at different stages of the epidemic may help control the epidemic.

Impact of Covid-19 pandemic on female health care workers in Odisha (India)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shiba Shankar Pattayat ◽  
Prasanta Patri ◽  
Silan Das ◽  
Rajesh Barik
Keyword(s):  
Mental Stress ◽  
Health Workers ◽  
Survey Method ◽  
Economic Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Economic Vulnerability ◽  
Care Workers ◽  
The Impact ◽  
Socio Economic Factors

Purpose The purpose of this paper is to investigate the impact of Covid-19 on female health workers (FHWs) in Odisha (India). Here, this study discusses the economic hardship of the FHWs during the pandemic time. Additionally, this study also identifies the various socio-economic factors responsible for the increasing mental stress level of FHWs in Odisha. Design/methodology/approach The study is based on a telephonic survey method. Overall the study has collected 80 samples of FHWs from Odisha (India). Additionally, the study uses a logistic regression model to measure the impact of various socio-economic factors affecting the mental health status of FHWs during the pandemic time. Findings The findings of this study depict that FHWs working as a Covid warrior during the pandemic time are facing severe economic vulnerability in their life. It is found that though the FHWs have worked tirelessly to save millions of human lives, but irregularity in salary payment and temporary jobs position have caused more mental distress to them. Moreover, the empirical findings have shown that factors such as joint family, social isolation, having an elderly member in their family, duty in Covid ward, staying in staff quarter and temporary job position are responsible for increasing the mental stress of FHWs in Odisha during the Covid-19 pandemic time. Originality/value This study is a first attempt to explain the life struggle, economic vulnerability and mental stress of Indian (Odisha) FHWs working during the Covid-19 pandemic period to save millions of human lives.

scholarly journals Unemployment and income as factors of economic crime: a study based on data of the Federal districts of Russia

2020 ◽  
Vol 8 (2) ◽  
pp. 16-20
Author(s):  
Nikolay Myachin ◽  
Timur Ahmedov
Keyword(s):  
Unemployment Rate ◽  
Statistical Models ◽  
Statistical Significance ◽  
Economic Crime ◽  
Economic Factors ◽  
Second Stage ◽  
Federal Districts ◽  
Per Capita ◽  
The Impact ◽  
Socio Economic Factors

The article consists of theoretical and empirical parts. In the theoretical part, the authors review domestic statistical models describing the level of economic crime and the factors that influence it. At the first stage of the empirical part, the authors compare the median values of the level of economic crime in the Federal districts of Russia from 2010 to 2019 and check the statistical significance of the differences. At the second stage, the impact of the unemployment rate, the amount of per capita income and their interaction on the level of economic crime in the country's regions is estimated. As a result of determining the impact of socio-economic factors on the crime rate, a grouping of Federal districts of Russia was carried out.

scholarly journals Factors affecting life expectancy in Kazakhstan

R-Economy ◽  
2020 ◽  
pp. 261-270
Author(s):  
Aksanat Zh. Panzabekova ◽  
◽  
Ivan E. Digel ◽  
Keyword(s):  
Panel Data ◽  
Life Expectancy ◽  
Economic Factors ◽  
Microsoft Excel ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
The Republic ◽  
The Impact ◽  
Socio Economic Factors

Relevance. Life expectancy is a comprehensive indicator reflecting the quality of life in a country or region, which is why it is important to estimate the impact of various socio-economic factors on this indicator as accurately as possible. Our study makes a novel contribution to the existing research by conducting a correlation and regression analysis of factors affecting life expectancy in regions of Kazakhstan based on panel data. Research objective. This paper aims to present a modified methodology for estimation of factors affecting life expectancy in regions of Kazakhstan. Data and methods. Our research relies on panel data on regions and cities of Kazakhstan. The data are provided by the Ministry of National Economy and the Ministry of Health Care of the Republic of Kazakhstan. Methodologically, the research is based on regression and correlation analysis. The two main criteria were applied for data selection: availability of statistical data for a sufficiently long period and the potential impact of factors on life expectancy. We built a two-factor power regression model calculated with the help of software package Microsoft Excel. Results. In our research, regression models were used to formulate conclusions concerning the impact of certain socio-economic factors on life expectancy in regions of Kazakhstan. We also brought to light the factors whose relationship to life expectancy requires further investigation. Conclusions. It was found that the most significant factors affecting life expectancy in regions of Kazakhstan are economic ones. The proposed methodology can be used for short- and medium-term predictions of life expectancy.

scholarly journals Socio-economic factors in the spread of SARS-COV-2 across Russian regions

R-Economy ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 129-145
Author(s):  
Evgeny V. Sinitsyn ◽  
◽  
Alexander V. Tolmachev ◽  
Alexander S. Ovchinnikov ◽  
◽  
...  
Keyword(s):  
Mathematical Model ◽  
Correlation Analysis ◽  
Federal State ◽  
Economic Factors ◽  
Factors Affecting ◽  
Average Value ◽  
Frequency Probability ◽  
The Impact ◽  
Epidemiological Situation ◽  
Socio Economic Factors

Relevance. The worldwide spread of a new infection SARS-CoV-2 makes relevant the analysis of the socio-economic factors that make modern civilization vulnerable to previously unknown diseases. In this regard, the development of mathematical models describing the spread of pandemics like COVID-19 and the identification of socio-economic factors affecting the epidemiological situation in regions is an important research task. Research objective. This study seeks to develop a mathematical model describing the spread of COVID-19, thus enabling the analysis of the main characteristics of the spread of the disease and assessment of the impact of various socio-economic factors. Data and methods. The study relies on the official statistical data on the pandemic presented on coronavirus sites in Russia and other countries, Yandex DataLens dataset service, as well as data from the Federal State Statistics Service. The data were analyzed by using a correlation analysis of COVID-19 incidence parameters and socio-economic characteristics of regions; multivariate regression – to determine the parameters of the probabilistic mathematical model of the spread of the pandemic proposed by the authors; clustering – to group the regions with similar incidence characteristics and exclude the regions with abnormal parameters from the analysis. Results. A mathematical model of the spread of the COVID-19 pandemic is proposed. The parameters of this model are determined on the basis of official statistics on morbidity, in particular the frequency (probability) of infections, the reliability of the disease detection, the probability density of the disease duration, and its average value. Based on the specificity of COVID-19, Russia regions are clustered according to disease-related characteristics. For clusters that include regions with typical disease-related characteristics, a correlation analysis of the relationship between the number of cases and the rate of infection ( with the socio-economic characteristics of the region is carried out. The most significant factors associated with the parameters of the pandemic are identified. Conclusions. The proposed mathematical model of the pandemic and the established correlations between the parameters of the epidemiological situation and the socio-economic characteristics of the regions can be used to make informed decisions regarding the key risk factors and their impact on the course of the pandemic.

scholarly journals Socio-economic Factors Influencing the Development of Renewable Energy Production Sector in Poland

2021 ◽  
Vol 24 (1) ◽  
pp. 38-54
Author(s):  
Tadeusz A. Grzeszczyk ◽  
Waldemar Izdebski ◽  
Michał Izdebski ◽  
Tadeusz Waściński
Keyword(s):  
Renewable Energy ◽  
Energy Production ◽  
Hard Coal ◽  
Economic Factors ◽  
Eu Law ◽  
Factors Influencing ◽  
Level Ii ◽  
Renewable Energy Production ◽  
The Impact ◽  
Socio Economic Factors

Poland is not one of the leaders in the use of renewable energy sources (RES), and most energy is still produced using hard coal and lignite. Therefore, there are noteworthy emissions of air pollution (including ashes and greenhouse gases), and the Polish energy sector is characterized by a substantial degree of carbonization, which, as a result, threatens to expressively increase the costs of electricity production, leading to financial penalties imposed by the EU. The aim of this paper is to analyze socio-economic factors influencing the development of the RES sector in Poland. According to this aim, expert research was carried out, in which the factors influencing development potential of RES were assessed at two levels (level II – 5 factors, level III – 15 factors) according to the factor tree analysis. Based on the analysis of the level II factors, it can be concluded that the development of the RES sector in Poland will depend to a decisive extent on factors such as: EU decisions and Polish legislation affecting the development of the RES sector in Poland, prices and availability of conventional energy carriers. Other two factors – regional policy on ecology and ecological awareness in Poland – have so far little impact on the development of this sector in the state. The analysis of the level III factors shows that the greatest impact on the development of the RES sector in Poland is the influence of European lobbying of manufacturers of machinery and equipment for renewable energy production on EU law, the impact of Polish lobbying of conventional energy producers on Polish law in the production of renewable energy and the influence of European lobbying of renewable energy producers into EU law.

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