scholarly journals Spatial gradients in country‐level population trends of European birds

2019 ◽  
Vol 25 (10) ◽  
pp. 1527-1536 ◽  
Author(s):  
Jan Hanzelka ◽  
Petra Horká ◽  
Jiří Reif
Keyword(s):  
Population Trends ◽  
Level Population ◽  
Spatial Gradients ◽  
Country Level

Differences in spatial synchrony and interspecific concordance inform guild-level population trends for aerial insectivorous birds

Ecography ◽  
2015 ◽  
Vol 39 (8) ◽  
pp. 774-786 ◽  
Author(s):  
Nicole L. Michel ◽  
Adam C. Smith ◽  
Robert G. Clark ◽  
Christy A. Morrissey ◽  
Keith A. Hobson
Keyword(s):  
Population Trends ◽  
Level Population ◽  
Insectivorous Birds ◽  
Spatial Synchrony

scholarly journals Determinants of COVID-19 Case and Death Rates: An Ecological Study

2021 ◽  
Author(s):  
Christopher El Mouhayyar ◽  
Luke T. Jaber ◽  
Matthias Bergmann ◽  
Bertrand Jaber
Keyword(s):  
Human Development ◽  
Population Health ◽  
Death Rate ◽  
Ecological Study ◽  
Case Fatality ◽  
Level Population ◽  
Death Rates ◽  
Development Indicators ◽  
Country Level ◽  
Case Rate

Introduction: The Coronavirus Disease 2019 (COVID-19) pandemic has had a variable worldwide impact, likely related to country-level characteristics. In this ecological study, we explored the association of COVID-19 case rates (per 100,000 people) and death rates (per 100,000 people) with country-level population health characteristics, economic and human development indicators, and habitat-related variables. Methods: To calculate country-level COVID-19 case and death rates, the number of cases and deaths were extracted from the Johns Hopkins Coronavirus Resource Center for 2020. Country-level population health characteristics, economic and human development indicators, and habitat-related variables were extracted from several publicly available online sources of international organizations. Results were tabulated according to world zones and country economies. Univariate and multivariable linear regression analyses were performed to examine determinants of COVID-19 case rates and death rates. Results: A total of 187 countries and territories were analyzed, with an aggregate COVID-19 case rate of 779 per 100,000 people, a death rate of 19 per 100,000 people, and a case-fatality rate of 2.4%. For country-level population health characteristics, a higher percentage rate of adults with obesity and a higher percentage rate of adults with high blood pressure was independently associated with a higher COVID-19 case rate, and a higher percentage rate of adults with obesity was associated with a higher COVID-19 death rate. For country-level economic and human development indicators, only a higher gross domestic product percentage rate spent on total health expenditure and a higher human development index was independently associated with a higher COVID-19 case rate and death rate. A higher percentage of urban population was independently associated with a higher COVID-19 death rate, whereas a higher income per capita was independently associated with a lower COVID-19 death rate. For country-level habitat-related variables, a higher average household size and a higher percentage rate of population with primary reliance on polluting fuels and technologies was independently associated with a lower COVID-19 case rate and death rate whereas a higher percentage rate of households with at least one-member age 65 years or over was associated with a higher case rate and death rates. Conclusion: This ecological study informs the need to develop country-specific public health interventions to better target populations at high risk for COVID-19, and test environmental interventions to prevent indoor transmission of SARS-CoV-2, taking into consideration population health characteristics, economic and human development indicators, and habitat-related variables that are unique to each country.

Three Paradoxical Effects on Academic Self-Concept Across Countries, Schools, and Students

2019 ◽  
Vol 24 (3) ◽  
pp. 231-242 ◽  
Author(s):  
Herbert W. Marsh ◽  
Philip D. Parker ◽  
Reinhard Pekrun
Keyword(s):  
International Student ◽  
Student Assessment ◽  
Cross Cultural ◽  
Frame Of Reference ◽  
School Level ◽  
Self Concept ◽  
Positive Effects ◽  
International Student Assessment ◽  
Country Level ◽  
Starting School

Abstract. We simultaneously resolve three paradoxes in academic self-concept research with a single unifying meta-theoretical model based on frame-of-reference effects across 68 countries, 18,292 schools, and 485,490 15-year-old students. Paradoxically, but consistent with predictions, effects on math self-concepts were negative for: • being from countries where country-average achievement was high; explaining the paradoxical cross-cultural self-concept effect; • attending schools where school-average achievement was high; demonstrating big-fish-little-pond-effects (BFLPE) that generalized over 68 countries, Organisation for Economic Co-operation and Development (OECD)/non-OECD countries, high/low achieving schools, and high/low achieving students; • year-in-school relative to age; unifying different research literatures for associated negative effects for starting school at a younger age and acceleration/skipping grades, and positive effects for starting school at an older age (“academic red shirting”) and, paradoxically, even for repeating a grade. Contextual effects matter, resulting in significant and meaningful effects on self-beliefs, not only at the student (year in school) and local school level (BFLPE), but remarkably even at the macro-contextual country-level. Finally, we juxtapose cross-cultural generalizability based on Programme for International Student Assessment (PISA) data used here with generalizability based on meta-analyses, arguing that although the two approaches are similar in many ways, the generalizability shown here is stronger in terms of support for the universality of the frame-of-reference effects.

TBE in Romania

2020 ◽  
Keyword(s):  
Surveillance System ◽  
Epidemiological Survey ◽  
Passive Surveillance ◽  
Notifiable Disease ◽  
Territorial Expansion ◽  
Country Level ◽  
Regular Screening ◽  
Passive Surveillance System ◽  
Natural Foci ◽  
Risk Areas

Based on an epidemiological survey,1 human TBEV neuroinfections may have an endemic emergent course, and natural foci are in full territorial expansion. Identified risk areas are Tulcea district, Transylvania, at the base of the Carpathian Mountains and the Transylvanian Alps.2,3 TBE has been a notifiable disease since 1996. Surveillance of TBE is not done at the country level, only regionally in some counties (northern/central/western part, close to Hungary). The passive surveillance system was implemented in 2008. However, there is no regular screening and the relative risk of contracting this disease is unknown. In 1999, an outbreak of TBE in humans was recorded with a total of at least 38 human cases.4

Strategies for Survival of the World — Risk Management

2019 ◽  
Vol 10 (4) ◽  
Author(s):  
Jovo Lojanica ◽  
Keyword(s):  
Risk Management ◽  
Native Americans ◽  
National Level ◽  
Country Level ◽  
Management Standards ◽  
Family Level ◽  
Future Challenges ◽  
Iso 31000 ◽  
History Of ◽  
Personal Level

All management standards have requirements for different aspects of improvements on the personal level, family level, company level, in business and life. What is about national level and country level? Is it possible for today’s generations to learn history of nations and of civilizations? If it is — ok, let’s apply it on actual time and people to have less problems and difficulties — especially if is actual in field of risk management. Majority of people are occupied by today’s problems. They don’t consider past and future challenges. People from each country strive for better quality, better and cleaner environment, higher safety etc. historically and today. But could we remember: How did Genghis Khan conquer many regions and how was he defeated? How did Mayas and Aztecs die out? How were Native Americans in North America drastically reduced in numbers? How did the Roman Imperium vanish? How was the Ottoman Imperium established and how it vanished? How many people were killed in the wars in XX century, etc? In all these catastrophic changes risks were not considered in an adequate way. Requirements of risk management — Principles and guidelines — ISO 31000:2009 are very consultative. They could be used on country level, national level, regional level, continental and intercontinental level.

Studying the factors of regional insurance market development using the correlation and regression analysis

2020 ◽  
Vol 26 (7) ◽  
pp. 1610-1630
Author(s):  
E.L. Prokop'eva
Keyword(s):  
Regression Analysis ◽  
Federal District ◽  
Insurance Market ◽  
Market Development ◽  
Insurance Markets ◽  
Regression Equations ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Country Level ◽  
Inverse Effect

Subject. The article investigates and quantifies factors of insurance markets functioning in Russian regions, and reveals possibilities to manage them. Objectives. The purpose of the study is to substantiate regional factors that determine the specifics of regional insurance market development; to quantify them to increase the efficiency of regional insurance. Methods. The study draws on statistical methods, functional analysis, algorithm development, correlation and regression analysis. Results. I calculated coefficients of pair and multiple correlation with the indicators of insurance markets in the context of the subjects of the Russian Federation, and composed regression equations. Based on the analysis, I determined the algorithm for inverse effect of the insurance market on the economic, social, fiscal and environmental performance of the region, offered appropriate measures aimed at developing the economic potential of the region and its social sphere. Conclusions. The paper considers the case of the Republic of Khakassia, one of depressed subjects in the Siberian Federal District. The developed models can be used for other regions of Russia, given the geographical and economic features of development. The findings may help generate regional strategies for socio-economic development at the country level. The scientific contribution and the novelty of the work consist of systematizing and quantifying the factors affecting the insurance mechanisms of regional markets, and assessing the inverse effect of insurance mechanisms on integrated development of the region.

Digital Economy: New Opportunities and Threats for the Development of the World Economy

2018 ◽  
Vol 11 (2) ◽  
pp. 18-26 ◽  
Author(s):  
I. A. Strelkova
Keyword(s):  
World Economy ◽  
Practical Experience ◽  
Business Environment ◽  
Digital Economy ◽  
The State ◽  
Market Exchange ◽  
Country Level ◽  
The World ◽  
Business Structures ◽  
Definition Of

The paper examines various approaches to the definition of the term «digital economy» in the scientific and business environment along with factors and forms of its development in different countries taking into account the specifics of the current stage of the Russian economy, which is a matter of particular importance in seeking new sources of the world economy growth. The subject of the research is opportunities and threats inherent in the process of digitalization of economies and their impact on the operation of international and national markets as well as the development of the world economy as a whole. The purpose of the paper was to analyze the practical experience in the formation and development of the digital economy in foreign countries and Russia and identify the changes it brings to the activities of state institutions and business structures, established rules of market exchange, the process of promotion and use of innovations. All the above made it possible to determine the country-level specifics of the digital economy evolution reveal the contradictory nature of its manifestations and justify the necessity for active participation of the state in stimulation and support of potentially promising digital innovations in various sectors of the economy. It is concluded that the level of the digital economy development depends on the real-sector performance, the maturity of markets, the state of the national economy. It is highlighted that the criteria for a comprehensive assessment of the results of the economy digitalization must be developed.

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