scholarly journals Impact of Vaccination and Testing Levels on the Dynamics of the COVID-19 Pandemic and its Cessation

2021 ◽  
Vol 2 (11) ◽  
pp. 1141-1147
Author(s):  
Igor Nesteruk ◽  
Oleksii Rodionov
Keyword(s):  
Statistical Analysis ◽  
Critical Value ◽  
Per Capita ◽  
Simple Statistical Analysis ◽  
Registered Case

A simple statistical analysis of the accumulated and daily numbers of new COVID-19 cases and deaths per capita was performed with the use of recent datasets for European and some other countries and regions in order to find correlations with the testing and vaccination levels. It was shown that vaccination can significantly reduce the likelihood of deaths. However, existing vaccines do not prevent new infections. It looks that vaccinated individuals can spread the infection as intensely as unvaccinated ones and it is too early to lift quarantine restrictions in Europe and most other countries. The constant appearance of new cases due to re-infection increases the likelihood of new coronavirus strains, including very dangerous. As existing vaccines are not able to prevent this, it remains to increase the number of tests per registered case. If the critical value of the tests per case ratio (around 520) is exceeded, one can hope to stop the occurrence of new cases.

scholarly journals Effects of testing and vaccination levels on the dynamics of the COVID-19 pandemic and the prospects for its termination

2021 ◽  
Author(s):  
Igor Nesteruk ◽  
Oleksii Rodionov
Keyword(s):  
Statistical Analysis ◽  
Critical Value ◽  
Per Capita ◽  
Simple Statistical Analysis ◽  
Registered Case

ABSTRACTA simple statistical analysis of the accumulated and daily numbers of new COVID-19 cases and deaths per capita was performed with the use of recent datasets for European and some other countries and regions. It was shown that vaccination can significantly reduce the likelihood of deaths. However, existing vaccines do not prevent new infections, and vaccinated individuals can spread the infection as intensely as unvaccinated ones. Therefore, it is too early to lift quarantine restrictions in Europe and most other countries. The constant appearance of new cases due to re-infection increases the likelihood of new coronavirus strains, including very dangerous. As existing vaccines are not able to prevent this, it remains to increase the number of tests per registered case. If the critical value of 520 is exceeded, one can hope to stop the occurrence of new cases.

scholarly journals Volatility of Jakarta Islamic Index

2014 ◽  
Vol 6 (2) ◽  
pp. 207-222
Author(s):  
Hendri Tanjung
Keyword(s):  
Statistical Analysis ◽  
Normal Distribution ◽  
Stock Exchange ◽  
Daily Data ◽  
Using Data ◽  
Simple Statistical Analysis

Volatility of Jakarta Islamic Index. This study investigates the volatility of Jakarta Islamic Index (JII) in Jakarta Stock Exchange. The method that used in this research is used a simple statistical analysis. The normality of JII return is analyzed to answer whether the return of JII follows normal distribution. By using data of Jakarta Islamic Index from 2nd March 2009 to 30th October 2013 (1122 daily data), it is found that the distribution of return of JII is not normal, even the 5 sigma occurred. This means the return of Jakarta Islamic Index is much volatile than the theory predicted. This will make too much gain or loss in one day in the economy  DOI:10.15408/aiq.v6i2.1231

A simple statistical analysis of Indian muntjac Giemsa band patterns

1975 ◽  
Vol 15 (3) ◽  
pp. 153-165 ◽  
Author(s):  
T.F. Smith ◽  
M. Grunwald ◽  
R. Artwich ◽  
H.Z. Hill
Keyword(s):  
Statistical Analysis ◽  
Indian Muntjac ◽  
Simple Statistical Analysis

Economic Causes of Female Suicide Terrorism: Perceived Versus Actual

2019 ◽  
Vol 4 (4) ◽  
pp. 499-509 ◽  
Author(s):  
Seung-Whan Choi
Keyword(s):  
Statistical Analysis ◽  
Gross Domestic Product ◽  
National Economy ◽  
Gini Index ◽  
Theoretical Perspective ◽  
Muslim Women ◽  
Economic Conditions ◽  
Common Belief ◽  
Suicide Terrorism ◽  
Per Capita

AbstractCommon belief holds that economic misery motivates more people to commit acts of suicide terrorism. The existing literature, however, fails to find an empirical linkage between these two phenomena. This study offers a novel theoretical perspective and statistical evidence on the economy and terrorism connection. I argue that Muslim women decide to engage in acts of suicide terrorism because of their perception of the national economy, rather than actual economic conditions such as gross domestic product per capita or the Gini index. Based upon a statistical analysis of 4,495 incidents of suicide terrorism during the period from 1981 to 2015, the study shows that, when Muslim women perceive their national economy to be unfavorable, they are more likely to commit acts of suicide terrorism.

scholarly journals ACCEPTANCE DEPENDENCE OF FLUCTUATION IN PARTICLE MULTIPLICITY

2002 ◽  
Vol 17 (05) ◽  
pp. 675-683 ◽  
Author(s):  
D. P. MAHAPATRA ◽  
B. MOHANTY ◽  
S. C. PHATAK
Keyword(s):  
Statistical Analysis ◽  
Probability Distribution ◽  
Simulated Data ◽  
Heavy Ion ◽  
Event Generator ◽  
Particle Multiplicity ◽  
Ion Collisions ◽  
Dynamical Fluctuations ◽  
Acceptance Window ◽  
Simple Statistical Analysis

The effect of limiting the acceptance in rapidity on event-by-event multiplicity fluctuations in nucleus–nucleus collisions has been investigated. Our analysis shows that the multiplicity fluctuations decrease when the rapidity acceptance is decreased. We explain this trend by assuming that the probability distribution of the particles in the smaller acceptance window follows binomial distribution. Following a simple statistical analysis, we conclude that the event-by-event multiplicity fluctuations for full acceptance are likely to be larger than those observed in the experiments, since the experiments usually have detectors with limited acceptance. We discuss the application of our model to simulated data generated using VENUS, a widely used event generator in heavy-ion collisions. We also discuss the results from our calculations in the presence of dynamical fluctuations and possible observation of these in the actual data.

Application of PDCA-Cycle on the Management of Critical Values Reporting

2013 ◽  
Vol 712-715 ◽  
pp. 3203-3206
Author(s):  
Hong Wang ◽  
Ying Chang ◽  
Wen Sheng Che
Keyword(s):  
Statistical Analysis ◽  
Quality Management ◽  
Critical Value ◽  
Reporting Rate ◽  
Critical Values ◽  
Medical Field ◽  
Field Methods ◽  
Pdca Cycle ◽  
Value Reporting ◽  
Staff Number

Objective: Through the PDCA (Plan-Do-Check-Act, also called quality loop) cycle in the management of Critical Value Reporting, and then the discussion on the values of their application in the medical field. Methods: Data were divided into two groups (January to March in 2012 as before the implementation of PDCA-cycle and August to October as after the implementation of PDCA-cycle). Statistical analysis was applied for these two groups. Results: After the application of PDCA-cycle, the executing rate of critical values reporting increased from 38.2% to 96.4 % (P=0.000). The percentage of reporting time, repeat critical values reporting, reporters name and staff number, receivers name and staff number rised from 96.4%, 83.6%, 83.6%, 69.1% to 100.0%, 98.8%, 98.8%, 99.8%, respectively (P=0.000). Meanwhile, critical values reporting rate of Laboratory and Radiology also increased from 47.9%, 30.6% to 96.5%, 96.3% (P=0.000). Conclusion: This study suggested that the PDCA-cycle is an important tool for quality management, and it can effectively improve the executions of critical values reporting.

Female entrepreneurship and growth in Cameroon

2015 ◽  
Vol 6 (1) ◽  
pp. 107-119 ◽  
Author(s):  
Françoise Okah-Efogo ◽  
Gaëlle Tatiana Timba
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Statistical Analysis ◽  
Design Methodology ◽  
Female Entrepreneurship ◽  
Content Type ◽  
Theoretical Assumptions ◽  
New Evidence ◽  
The Relationship ◽  
Simple Statistical Analysis

Purpose – The purpose of this paper is to supplement the literature on the effect of female entrepreneurship on economic growth by bringing new evidence for the case of SMEs owned by women in Cameroon. Design/methodology/approach – Effects of female entrepreneurship on Cameroonian economic growth are analyzed through a simple statistical analysis. Findings – Our results reveal that there is a growing female entrepreneurship in Cameroon, localized in many different sectors of activity. Moreover, these SMEs are opportunity entrepreneurship which contributes to economic growth by considerably reducing unemployment particularly for women, generating revenues for government and enhancing human capital skills. Research limitations/implications – The study suggests an investment in SMEs owned by women and an investment in education and skills of those women in order to positively affect economic growth. Originality/value – Many studies have focussed their attention on the relationship between SMEs and economic growth, but few attempted to evaluate the theoretical assumptions in case studies and in a gender perspective.

scholarly journals Economic Performance and Competitiveness Indicators: The Case of African Economies

2021 ◽  
Author(s):  
Vít Pošta ◽  
Marta Nečadová
Keyword(s):  
Statistical Analysis ◽  
Low Income ◽  
Economic Performance ◽  
Empirical Evaluation ◽  
Middle Income ◽  
Significant Relationships ◽  
Basic Relationship ◽  
Per Capita ◽  
The Relationship

This paper presents a statistical analysis of the relationship between economic performance and competitiveness indicators to address the question of the extent to which competitiveness indicators provideuseful information when assessing economic performance. The analysis was performed on various examples of African economies. The possible relationships between economic performance and competitiveness indicators were examined by extending a basic relationship between economic performance per capita and investment by competitiveness indicators. The models were estimated by means of an Arellano-Bond estimator. The authors detected many statistically significant relationships between economic performance and competitiveness indicators in the cases of both the whole sample and specifically middle-income economies. However, in the case of low-income economies there are no discernible relationships between economic performance and the information included in the competitiveness indicators. The paper contributes to the analysis of the economic performance of African economies, for which the empirical evaluation of possible links between economic performance and competitiveness indicators is altogether missing.

scholarly journals Asymmetry (inequality) of spatial development in Russia

2021 ◽  
Vol 885 (1) ◽  
pp. 012013
Author(s):  
V G Ayusheeva ◽  
V S Batomunkuev ◽  
N R Zangeeva
Keyword(s):  
Statistical Analysis ◽  
Economic Activity ◽  
Correlation Coefficients ◽  
Uneven Development ◽  
Economic Conditions ◽  
Objective Reality ◽  
Local Conditions ◽  
Per Capita ◽  
The Difference ◽  
Regions Of Russia

Abstract The uneven development of countries and regions is one of the major topics of geography. Since its subject, as defined by N N Baransky, is the difference from place to place. Considering economic activity, socio-economic processes and indicators in the territorial aspect, we are confronted with the inequality of their distribution across the territory. This problem is particularly relevant, because the objective reality, due to the diversity and uniqueness of local conditions, as well as historical, economic, political reasons. Currently, there are various approaches to measuring socio-economic asymmetry. The “centre-periphery” model is remarkably resilient and flexible, and is able to maintain its properties under different socio-economic conditions. Based on statistical analysis (1995-2018), GRP per capita by regions of Russia was examined, as well as correlation coefficients.

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