scholarly journals A Transnational and Transregional Study of the Impact and Effectiveness of Social Distancing for COVID-19 Mitigation

Entropy ◽  
2021 ◽  
Vol 23 (11) ◽  
pp. 1530
Author(s):  
Tarcísio M. Rocha Filho ◽  
Marcelo A. Moret ◽  
José F. F. Mendes
Keyword(s):  
United States ◽  
Infection Rate ◽  
Rank Order ◽  
The United States ◽  
Social Distancing ◽  
The United Kingdom ◽  
The Social ◽  
The Impact ◽  
The Relationship ◽  
Spearman’S Correlation

We present an analysis of the relationship between SARS-CoV-2 infection rates and a social distancing metric from data for all the states and most populous cities in the United States and Brazil, all the 22 European Economic Community countries and the United Kingdom. We discuss why the infection rate, instead of the effective reproduction number or growth rate of cases, is a proper choice to perform this analysis when considering a wide span of time. We obtain a strong Spearman’s rank order correlation between the social distancing metric and the infection rate in each locality. We show that mask mandates increase the values of Spearman’s correlation in the United States, where a mandate was adopted. We also obtain an explicit numerical relation between the infection rate and the social distancing metric defined in the present work.

scholarly journals A transnational and transregional study of the impact and effectiveness of social distancing for COVID-19 mitigation

2021 ◽  
Author(s):  
Tarcísio M. Rocha Filho ◽  
Marcelo A. Moret ◽  
José F. F. Mendes
Keyword(s):  
United States ◽  
Infection Rate ◽  
Rank Order ◽  
The United States ◽  
Social Distancing ◽  
The United Kingdom ◽  
The Social ◽  
The Impact ◽  
The Relationship ◽  
Spearman’S Correlation

AbstractWe present an analysis of the relationship between SARS-CoV-2 infection rates and a social distancing metric from data for all the states and most populous cities in the United States and Brazil, all the 22 European Economic Community countries and the United Kingdom. We discuss why the infection rate, instead of the effective reproduction number or growth rate of cases, is a proper choice to perform this analysis when considering a wide span of time. We obtain a strong Spearman’s rank order correlation between the social distancing metric and the infection rate in each locality. We show that mask mandates increase the values of Spearman’s correlation in the United States, where a mandate was adopted. We also obtain an explicit numerical relation between the infection rate and the social distancing metric defined in the present work.

scholarly journals Mining Google and Apple mobility data: temporal anatomy for COVID-19 social distancing

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Corentin Cot ◽  
Giacomo Cacciapaglia ◽  
Francesco Sannino
Keyword(s):  
Infection Rate ◽  
The United States ◽  
Strong Decrease ◽  
Social Distancing ◽  
Mobility Data ◽  
Actual Measure ◽  
The Us ◽  
The Impact ◽  
Political Decisions ◽  
Mobility Reduction

AbstractWe employ the Google and Apple mobility data to identify, quantify and classify different degrees of social distancing and characterise their imprint on the first wave of the COVID-19 pandemic in Europe and in the United States. We identify the period of enacted social distancing via Google and Apple data, independently from the political decisions. Our analysis allows us to classify different shades of social distancing measures for the first wave of the pandemic. We observe a strong decrease in the infection rate occurring two to five weeks after the onset of mobility reduction. A universal time scale emerges, after which social distancing shows its impact. We further provide an actual measure of the impact of social distancing for each region, showing that the effect amounts to a reduction by 20–40% in the infection rate in Europe and 30–70% in the US.

scholarly journals The Effect of Vaccination Rates on the Infection of COVID-19 under the Vaccination Rate below the Herd Immunity Threshold

2021 ◽  
Vol 18 (14) ◽  
pp. 7491
Author(s):  
Yi-Tui Chen
Keyword(s):  
Infection Rate ◽  
Herd Immunity ◽  
The United States ◽  
Vaccination Rate ◽  
Infection Rates ◽  
Vaccination Rates ◽  
The United Kingdom ◽  
The World ◽  
Almost All ◽  
The Impact

Although vaccination is carried out worldwide, the vaccination rate varies greatly. As of 24 May 2021, in some countries, the proportion of the population fully vaccinated against COVID-19 has exceeded 50%, but in many countries, this proportion is still very low, less than 1%. This article aims to explore the impact of vaccination on the spread of the COVID-19 pandemic. As the herd immunity of almost all countries in the world has not been reached, several countries were selected as sample cases by employing the following criteria: more than 60 vaccine doses per 100 people and a population of more than one million people. In the end, a total of eight countries/regions were selected, including Israel, the UAE, Chile, the United Kingdom, the United States, Hungary, and Qatar. The results find that vaccination has a major impact on reducing infection rates in all countries. However, the infection rate after vaccination showed two trends. One is an inverted U-shaped trend, and the other is an L-shaped trend. For those countries with an inverted U-shaped trend, the infection rate begins to decline when the vaccination rate reaches 1.46–50.91 doses per 100 people.

scholarly journals Do Environmental Stringency Policies and Human Development Reduce CO2 Emissions? Evidence from G7 and BRICS Economies

2021 ◽  
Vol 18 (13) ◽  
pp. 6727
Author(s):  
Funda Hatice Sezgin ◽  
Yilmaz Bayar ◽  
Laura Herta ◽  
Marius Dan Gavriletea
Keyword(s):  
United States ◽  
United Kingdom ◽  
Human Development ◽  
Co2 Emissions ◽  
United States Of America ◽  
The United States ◽  
Cointegration Analysis ◽  
Causality Analysis ◽  
The United Kingdom ◽  
The Impact

This study explores the impact of environmental policies and human development on the CO2 emissions for the period of 1995–2015 in the Group of Seven and BRICS economies in the long run through panel cointegration and causality tests. The causality analysis revealed a bilateral causality between environmental stringency policies and CO2 emissions for Germany, Japan, the United Kingdom, and the United States of America, and a unilateral causality from CO2 emissions to the environmental stringency policies for Canada, China, and France. On the other hand, the analysis showed a bilateral causality between human development and CO2 emissions for Germany, Japan, the United Kingdom, and the United States of America, and unilateral causality from CO2 emissions to human development in Brazil, Canada, China, and France. Furthermore, the cointegration analysis indicated that both environmental stringency policies and human development had a decreasing impact on the CO2 emissions.

Relationship of the production of the toxin, cerato-ulmin, to synnemata formation, pathogenicity, mycelial habit, and growth of Ceratocystis ulmi isolates

1980 ◽  
Vol 58 (6) ◽  
pp. 658-662 ◽  
Author(s):  
Shozo Takai
Keyword(s):  
United States ◽  
United Kingdom ◽  
The Netherlands ◽  
Radial Growth ◽  
The United States ◽  
Measurable Quantity ◽  
The United Kingdom ◽  
Relationship Of ◽  
The Relationship

Forty-seven isolates of Ceratocystis ulmi collected from Canada, the United States, the United Kingdom, France, the Netherlands, and Iran were classified with respect to their ability to produce cerato-ulmin (CU) and synnemata, their radial growth, mycelial habit, and pathogenicity.Twenty-nine isolates clearly produced CU in a measurable quantity while 18 isolates produced it only in trace quantities. In general, the former produced fluffy mycelium and were active in synnemata formation. They were aggressive in pathogenicity with one exception. The latter group of isolates generally produced waxy, yeastlike mycelium and formed very few synnemata. They were all nonaggressive in pathogenicity. Radial growth was generally higher among the isolates that produced CU in larger quantities than among those producing CU in trace quantities. The relationship between CU production and pathogenicity affords a method for estimating isolate pathogenicity without the need for host inoculation.

Social impact bonds and their implications for third sector organisations: experiences from the Netherlands

2021 ◽  
Author(s):  
Valentina Patetta ◽  
Marta Enciso Santocildes
Keyword(s):  
United States ◽  
The Netherlands ◽  
Social Impact ◽  
Third Sector ◽  
The United States ◽  
The United Kingdom ◽  
The Social ◽  
Private Investments ◽  
Social Impact Bonds ◽  
Third Sector Organisations

The social impact bond (SIB) is defined as a form of payment-by-results scheme combining governmental payments with private investments. This paper explores the motivations and implications of three third sector organisations (TSOs) participating in SIBs in Continental Europe. It offers an understanding of the involvement of TSOs in this type of scheme; and it shares insights about a context that is different from the United Kingdom and the United States – the Netherlands – which presents the opportunity to expand our knowledge about SIBs.

The Impact of Energy on the Adoption of Conservation Tillage in the United States

1998 ◽  
Vol 9 (5) ◽  
pp. 549-568
Author(s):  
Noel D. Uri
Keyword(s):  
United States ◽  
Crude Oil ◽  
Conservation Tillage ◽  
The United States ◽  
Structural Instability ◽  
Special Importance ◽  
The Real ◽  
Real Price ◽  
The Impact ◽  
The Relationship

The impact of energy on the adoption of conservation tillage is of special importance in addressing concerns about the effect of agricultural production on the environment in the United States. It is the subject of this paper. After establishing that a relationship exists between the price of energy and the adoption of conservation tillage via cointegration techniques, the relationship is quantified. It is shown that while the real price of crude oil, the proxy used for the price of energy, does not affect the rate of adoption of conservation tillage, it does impact the extent to which it is used. Finally, there is no structural instability in the relationship between the relative use of conservation tillage and the real price of crude oil over the period 1963 to 1997.

Impacts of Liberation Pedagogy: The Case of Workers' Education

1983 ◽  
Vol 165 (1) ◽  
pp. 113-129 ◽  
Author(s):  
David Hakken
Keyword(s):  
United States ◽  
Paulo Freire ◽  
The United States ◽  
Antonio Gramsci ◽  
Social Psychological ◽  
Education Programs ◽  
Worker Education ◽  
The Social ◽  
Liberation Pedagogy ◽  
The Impact

Some perspectives with which to evaluate the impact of the pedagogy of liberation on worker education programs in England and the United States are suggested. The pedagogy of liberation is often associated with the work of Paulo Freire and occasionally with that of the Italian Marxist, Antonio Gramsci. After some initial discussion of the nature of liberation pedagogy, the problems involved in assessing its effectiveness, are discussed in reference to specific worker education programs in England and the United States. The analysis of workers' education involves discussion of the pedagogy which informs particular programs and the social psychological dilemmas which often face the worker/students involved in workers' education. The article concludes with a discussion of the implications of the research on workers' education for liberation pedagogy.

scholarly journals Diverse local epidemics reveal the distinct effects of population density, demographics, climate, depletion of susceptibles, and intervention in the first wave of COVID-19 in the United States

2020 ◽  
Author(s):  
Niayesh Afshordi ◽  
Benjamin Holder ◽  
Mohammad Bahrami ◽  
Daniel Lichtblau
Keyword(s):  
United States ◽  
Population Density ◽  
The United States ◽  
Effective Response ◽  
Susceptible Population ◽  
Local Climate ◽  
Climate Conditions ◽  
Mortality And Morbidity ◽  
Social Distancing ◽  
The Impact

The SARS-CoV-2 pandemic has caused significant mortality and morbidity worldwide, sparing almost no community. As the disease will likely remain a threat for years to come, an understanding of the precise influences of human demographics and settlement, as well as the dynamic factors of climate, susceptible depletion, and intervention, on the spread of localized epidemics will be vital for mounting an effective response. We consider the entire set of local epidemics in the United States; a broad selection of demographic, population density, and climate factors; and local mobility data, tracking social distancing interventions, to determine the key factors driving the spread and containment of the virus. Assuming first a linear model for the rate of exponential growth (or decay) in cases/mortality, we find that population-weighted density, humidity, and median age dominate the dynamics of growth and decline, once interventions are accounted for. A focus on distinct metropolitan areas suggests that some locales benefited from the timing of a nearly simultaneous nationwide shutdown, and/or the regional climate conditions in mid-March; while others suffered significant outbreaks prior to intervention. Using a first-principles model of the infection spread, we then develop predictions for the impact of the relaxation of social distancing and local climate conditions. A few regions, where a significant fraction of the population was infected, show evidence that the epidemic has partially resolved via depletion of the susceptible population (i.e., “herd immunity”), while most regions in the United States remain overwhelmingly susceptible. These results will be important for optimal management of intervention strategies, which can be facilitated using our online dashboard.

scholarly journals Prediction and comparison of the impact of COVID-19 epidemic on the financial industry of major countries based on neural intelligent algorithm

2020 ◽  
Vol 39 (6) ◽  
pp. 8831-8838
Author(s):  
Bin Wang ◽  
Qingyuan Zhou
Keyword(s):  
United States ◽  
Global Economy ◽  
Mutual Influence ◽  
The United States ◽  
Household Consumption ◽  
Intermediate Input ◽  
Financial Industry ◽  
Government Consumption ◽  
The Impact ◽  
The Relationship

The global economy appears the trend of anti-globalization under the influence of COVID-19. Based on the input-output table of lead database from 2006 to 2020, this paper divides the factors that affect the development of financial industry in China, the United States and Russia into six aspects: price, intermediate input, household consumption, government consumption, export and import. ADGA-BP neural network model is proposed in this paper, which is based on six aspects of price, intermediate input, consumer, government consumption, export and import. The intermediate input is decomposed from the perspective of industrial structure to study the interrelationship between financial industry and other industries in the three countries. The results show that the intermediate input is the main factor in the development of financial industry in the three countries, but the source industries of the intermediate input are not the same; the two factors of household consumption and price are closely related to the development of financial industry in the three countries, and they all play a role in promoting China, while the relationship between household consumption and the United States and between price and Russia is reverse; Government consumption only has a significant impact on Russia; from the perspective of mutual influence, the mutual investment between the financial industry of China and the United States is relatively large, while the relationship between the Russian financial industry and the two countries is relatively weak. It shows that under the background of covid-19, the development of financial industry is affected.

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