scholarly journals Resilience of countries to COVID-19 correlated with trust

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Timothy M. Lenton ◽  
Chris A. Boulton ◽  
Marten Scheffer
Keyword(s):  
Decay Rate ◽  
Government Interventions ◽  
Complete Reduction ◽  
Country Level

AbstractWe characterized > 150 countries’ resilience to COVID-19 as the nationwide decay rate of daily cases or deaths from peak levels. Resilience to COVID-19 varies by a factor of ~ 40 between countries for cases/capita and ~ 25 for deaths/capita. Trust within society is positively correlated with country-level resilience to COVID-19, as is the adaptive increase in stringency of government interventions when epidemic waves occur. By contrast, countries where governments maintain greater background stringency tend to have lower trust within society and tend to be less resilient. All countries where > 40% agree “most people can be trusted” achieve a near complete reduction of new cases and deaths, but so do several less-trusting societies. As the pandemic progressed, resilience tended to decline, as adaptive increases in stringency also declined. These results add to evidence that trust can improve resilience to epidemics and other unexpected disruptions, of which COVID-19 is unlikely to be the last.

scholarly journals Trust boosts recovery of countries from COVID-19

2021 ◽  
Author(s):  
Timothy Michael Lenton ◽  
Chris A Boulton ◽  
Marten Scheffer
Keyword(s):  
Decay Rate ◽  
Government Interventions ◽  
Complete Reduction ◽  
Building Trust ◽  
Country Level

Why have some countries suppressed waves of the COVID-19 pandemic much more effectively than others? We find that the decay rate of daily cases or deaths from peak levels varies by a factor of ~40 between countries. This measure of country-level resilience to COVID-19 is positively correlated with trust within society, and with the adaptive increase in stringency of government interventions when epidemic waves occur. All countries where >40% agree most people can be trusted achieve a near complete reduction of new cases and deaths. In contrast, countries where governments maintain greater background stringency tend to be less trusting and less resilient. Building trust is therefore critical to resilience, both to epidemics and other unexpected disruptions, of which COVID-19 is unlikely to be the last.

scholarly journals The Swedish paradox explained? Investigating the role of economic inequality and risk perceptions in the Novel Coronavirus Pandemic

2020 ◽  
Author(s):  
Nate Breznau ◽  
Lisa Heukamp ◽  
Hung Nguyen
Keyword(s):  
Risk Perceptions ◽  
Economic Inequality ◽  
Disease Spread ◽  
The Novel ◽  
Government Interventions ◽  
Country Level ◽  
Linear Association ◽  
Non Linear ◽  
Novel Coronavirus

Economic inequality is understood as a country-level risk factor that increases the spread of infectious diseases. The Novel Coronavirus presents somewhat contradictory evidence of this because the most equal countries in the world experienced deaths per capita as high as the most unequal. We label this the ‘Swedish paradox’. We theorize that inequality has a non-linear association with disease spread because of risk perceptions among the public. Risk perceptions that are extreme in either direction – toward nonchalance or outright panic – lead to behaviors that increase infection1. Highly equal countries like Sweden had very low risk perceptions at the beginning of the pandemic and this may have led to individual and public actions that increase infection risk. To test this, we modeled the role of economic inequality on infection through the mediating role of risk perceptions in April, in 74 countries. We measured the intensity of the outbreak and government interventions in March as key predictors of risk perceptions. This lets us identify ‘over’ or ‘under’ concern and whether these extremes in the distribution of risk perceptions predicts infection increase in May, measured as death rates with an 18-day lead. We find that inequality has a large linear association with risk perceptions in April (0.50 as a standardized [beta] coefficient). We find that risk perceptions in April have a moderate association with infection increase in May (0.24 beta) and these effects are non-linear. Societies below a disposable income inequality Gini of around 31 were prone to slightly more infection in May as a function of less inequality, whereas societies above 31 were prone to much more infection as a function of more inequality, all else equal. This offers some clarification of the Swedish paradox; however, the biggest effects of inequality on infection occur at the upper end of the distribution meaning inequality is only a small piece of this puzzle.

scholarly journals COVID-19 Incidence in Europe: Drivers and Government Interventions

2020 ◽  
pp. 80-93
Author(s):  
Dan LUPU ◽  
Liviu-George MAHA ◽  
Elena-Daniela VIORICĂ
Keyword(s):  
Political System ◽  
Multiple Linear Regression Model ◽  
Principal Component ◽  
Analysis Method ◽  
Medium Term ◽  
Latent Factors ◽  
Death Rates ◽  
Government Interventions ◽  
Country Level ◽  
Death Cases

"This study aims to identify the determinant country-level factors that impact the trend of registered death cases from the recently emerged infectious disease COVID-19, analyzing data from March 2020 to July 2020, for 40 European countries. We use four categories of indicators covering major areas of influence: health, demographic, economic, and societal/cultural indicators. We reduce the dimensionality of the data to three latent factors by applying a Principal Component Analysis method, and we employ a multiple linear regression model to estimate the effects of these factors on the trend of death rates. The main result of the study is that a decreasing trend of death cases is the effect of a functional and citizen-oriented state, and is not only impacted by characteristics of the medical system or by individual features. Our findings also suggest that the premises for a low mortality rate are built by policies that have effects in the long- and medium-term. These policies refer to economic growth, sustainable development, healthcare, and the creation of a stable political system and an efficient administration."

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.

Effect of Chemical and Radiochemical Impurities from Eluants on 99mTc-Labeling Efficiency

1977 ◽  
Vol 16 (06) ◽  
pp. 241-246
Author(s):  
W. Earl Barnes ◽  
L. G. Colombetti
Keyword(s):  
Large Concentration ◽  
Complete Reduction ◽  
99Mtc Labeling ◽  
Spontaneous Oxidation

SummaryOccasionally, radiopharmaceuticals prepared from the eluates of 99Mo-99m T c generators that have not been eluted for several days contain large amounts of free pertechnetate, as tested by radiochromatography and biologically by administration to patients. We find the most probable causes of poor 99mTc-labeling in these cases to be:a) the presence of a large concentration of 99TcO4 – in eluants;b) insufficient stannous ions available for the complete reduction of Tc due to spontaneous oxidation of Sn in the vial and also due to oxidation of stannous ions by the presence of larger than expected concentrations of H2O2 and HO2 radicals in the eluant.

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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