scholarly journals COVID-19 Fatality Rate and Performed Swabs in Italy: a Misleading Perception (Preprint)

2020 ◽  
Author(s):  
Davide Tosi ◽  
Alessandro Verde ◽  
Manuela Verde
Keyword(s):  
Mass Media ◽  
Scientific Community ◽  
Large Scale ◽  
World Wide ◽  
Fatality Rate ◽  
The World ◽  
Containment Measures ◽  
The Impact ◽  
Official Data

UNSTRUCTURED CoronaVirus Disease 2019 (COVID-19) fatality rate in Italy is controversial and is largely affecting discussion on the impact of containment measures that are straining the world’s social and economic fabric, such as large-scale use of isolation and quarantine, closing borders, imposing limits on public gatherings, and implementing nationwide lockdowns. The scientific community, citizens, politicians and mass media are arguing over data that seem to suggest that Italy has a significantly higher number of COVID-19-related deaths than in the rest of the world. Moreover, Italian citizens have a misleading perception related to the number of actually performed swab tests. Citizens and mass media denounce that the coverage obtained by COVID-19 swab testing in Italy is not in line with other countries all over the world. In this paper, we try to clarify both aspects by highlighting the actual numbers and by comparing them with the official data available world-wide.

scholarly journals On the impact of publicly available news and information transfer to financial markets

2021 ◽  
Vol 8 (7) ◽  
pp. 202321
Author(s):  
Metod Jazbec ◽  
Barna Pàsztor ◽  
Felix Faltings ◽  
Nino Antulov-Fantulin ◽  
Petter N. Kolm
Keyword(s):  
World Wide Web ◽  
Financial Markets ◽  
Information Transfer ◽  
Large Scale ◽  
World Wide ◽  
Machine Learning Techniques ◽  
Economic Significance ◽  
The World ◽  
The Common ◽  
The Impact

We quantify the propagation and absorption of large-scale publicly available news articles from the World Wide Web to financial markets. To extract publicly available information, we use the news archives from the Common Crawl, a non-profit organization that crawls a large part of the web. We develop a processing pipeline to identify news articles associated with the constituent companies in the S&P 500 index, an equity market index that measures the stock performance of US companies. Using machine learning techniques, we extract sentiment scores from the Common Crawl News data and employ tools from information theory to quantify the information transfer from public news articles to the US stock market. Furthermore, we analyse and quantify the economic significance of the news-based information with a simple sentiment-based portfolio trading strategy. Our findings provide support for that information in publicly available news on the World Wide Web has a statistically and economically significant impact on events in financial markets.

scholarly journals An Agent-Based Model to Simulate the Spread of a Virus Based on Social Behavior and Containment Measures

Proceedings ◽  
2020 ◽  
Vol 54 (1) ◽  
pp. 22
Author(s):  
Manuel Seijas Carpente ◽  
Bertha Guijarro-Berdiñas ◽  
Amparo Alonso-Betanzos ◽  
Alejandro Rodríguez-Arias ◽  
Adina Dimitru
Keyword(s):  
Social Behavior ◽  
Social Relations ◽  
Large Scale ◽  
Agent Based Model ◽  
Agent Based ◽  
The Social ◽  
The World ◽  
Containment Measures ◽  
Behavior Based ◽  
The Impact

COVID-19 has brought a new normality in society. However, to avoid the situation, the virus must be stopped. There are several ways in which the governments of the world have taken action, from small measures like general cleaning up to large-scale measures like confinement. In this work, we present an agent-based tool that allows for simulating the virus expansion as a function of these containment measures and the Social Behavior based on people needs, beliefs, and social relations. Once this tool has been validated, it will be useful to evaluate the impact of future containment measures so that the most balanced ones can be found for the effectiveness of the measures and their good reception by the population.

Impact of hydroxychloroquin/azithromycin protocol on COVID-19 case-fatality rate reduction in Algeria. (Preprint)

2020 ◽  
Author(s):  
Ahmed Youssef Kada
Keyword(s):  
Case Fatality Rate ◽  
Doubling Time ◽  
Case Fatality ◽  
World Health ◽  
Fatality Rate ◽  
Therapeutic Protocol ◽  
First Case ◽  
The World ◽  
The Impact ◽  
At Home

BACKGROUND Covid-19 is an emerging infectious disease like viral zoonosis caused by new coronavirus SARS CoV 2. On December 31, 2019, Wuhan Municipal Health Commission in Hubei province (China) reported cases of pneumonia, the origin of which is a new coronavirus. Rapidly extendable around the world, the World Health Organization (WHO) declares it pandemic on March 11, 2020. This pandemic reaches Algeria on February 25, 2020, date on which the Algerian minister of health, announced the first case of Covid-19, a foreign citizen. From March 1, a cluster is formed in Blida and becomes the epicentre of the coronavirus epidemic in Algeria, its total quarantine is established on March 24, 2020, it will be smoothly alleviated on April 24. A therapeutic protocol based on hydroxychloroquine and azithromycin was put in place on March 23, for complicated cases, it was extended to all the cases confirmed on April 06. OBJECTIVE This study aimed to demonstrate the effectiveness of hydroxychloroquin/azithromycin protocol in Algeria, in particular after its extension to all patients diagnosed COVID-19 positive on RT-PCR test. We were able to illustrate this fact graphically, but not to prove it statistically because the design of our study, indeed in the 7 days which followed generalization of therapeutic protocol, case fatality rate decrease and doubling time increase, thus confirming the impact of wide and early prescription of hydroxychloroquin/azithromycin protocol. METHODS We have analyzed the data collected from press releases and follow-ups published daily by the Ministry of Health, we have studied the possible correlations of these data with certain events or decisions having a possible impact on their development, such as confinement at home and its reduction, the prescription of hydroxychloroquine/azithromycin combination for serious patients and its extension to all positive COVID subjects. Results are presented in graphics, the data collection was closed on 31/05/2020. RESULTS Covid-19 pandemic spreads from February 25, 2020, when a foreign citizen is tested positive, on March 1 a cluster is formed in the city of Blida where sixteen members of the same family are infected during a wedding party. Wilaya of Blida becomes the epicentre of coronavirus epidemic in Algeria and lockdown measures taken, while the number of national cases diagnosed begins to increases In any event, the association of early containment measures combined with a generalized initial treatment for all positive cases, whatever their degree of severity, will have contributed to a reduction in the fatality rate of COVID 19 and a slowing down of its doubling time. CONCLUSIONS In Algeria, the rapid combination of rigorous containment measure at home and early generalized treatment with hydroxychloroquin have demonstrated their effectiveness in terms of morbidity and mortality, the classic measures of social distancing and hygiene will make it possible to perpetuate these results by reducing viral transmission, the only unknown, the reopening procedure which can only be started after being surrounded by precautions aimed at ensuring the understanding of the population. CLINICALTRIAL Algeria, Covid-19, pandemic, hydroxychloroquin, azithromycin, case fatality rate

scholarly journals Google matrix analysis of worldwide football mercato

2018 ◽  
Author(s):  
José Lages ◽  
Justin Loye ◽  
Célestin Coquidé ◽  
Guillaume Rollin
Keyword(s):  
Large Scale ◽  
World Wide ◽  
Matrix Analysis ◽  
Two Dimensional ◽  
Network Nodes ◽  
Pagerank Algorithm ◽  
Google Matrix ◽  
Football Clubs ◽  
The World ◽  
Different Types

The worldwide football transfer market is analyzed as a directed complex network: the football clubs are the network nodes and the directed edges are weighted by the total amount of money transferred from a club to another. The Google matrix description allows to treat every club independently of their richness and allows to measure for a given club the efficiency of player sales and player acquisitions. The PageRank algorithm, developed initially for the World Wide Web, naturally characterizes the ability of a club to import players. The CheiRank algorithm, also developed to analyze large scale directed complex networks, characterizes the ability of a club to export players. The analysis in the two-dimensional PageRank-CheiRank plan permits to determine the transfer balance of the clubs in a more subtle manner than the traditional import-export scheme. We investigate the 2017-2018 mercato concerning 2296 clubs, 6698 player transfers, and 147 player nationalities. The transfer balance is determined globally for different types of player trades (defender, midfielder, forward, …) and for different national football leagues. Although, on average, the network transfer flows from and to clubs are balanced, the discrimination by player type draws a specific portrait of each football club.

scholarly journals Sustainable Electric Vehicle Transportation

2021 ◽  
Vol 13 (22) ◽  
pp. 12379
Author(s):  
Raymond Kene ◽  
Thomas Olwal ◽  
Barend J. van Wyk
Keyword(s):  
Electric Vehicle ◽  
Energy Demand ◽  
Large Scale ◽  
Common Knowledge ◽  
Distribution Network ◽  
Electricity Grid ◽  
Current State ◽  
The World ◽  
The Impact ◽  
Ev Charging

The future direction of electric vehicle (EV) transportation in relation to the energy demand for charging EVs needs a more sustainable roadmap, compared to the current reliance on the centralised electricity grid system. It is common knowledge that the current state of electricity grids in the biggest economies of the world today suffer a perennial problem of power losses; and were not designed for the uptake and integration of the growing number of large-scale EV charging power demands from the grids. To promote sustainable EV transportation, this study aims to review the current state of research and development around this field. This study is significant to the effect that it accomplishes four major objectives. (1) First, the implication of large-scale EV integration to the electricity grid is assessed by looking at the impact on the distribution network. (2) Secondly, it provides energy management strategies for optimizing plug-in EVs load demand on the electricity distribution network. (3) It provides a clear direction and an overview on sustainable EV charging infrastructure, which is highlighted as one of the key factors that enables the promotion and sustainability of the EV market and transportation sector, re-engineered to support the United Nations Climate Change Agenda. Finally, a conclusion is made with some policy recommendations provided for the promotion of the electric vehicle market and widespread adoption in any economy of the world.

Critical and Future Trends in Data Mining

Data Mining ◽  
2011 ◽  
pp. 437-452 ◽  
Author(s):  
Jeffrey Hsu
Keyword(s):  
Data Mining ◽  
Business Education ◽  
Scientific Community ◽  
World Wide ◽  
Data Sources ◽  
Knowledge Discovery In Databases ◽  
Future Trends ◽  
Online Data ◽  
Usable Knowledge ◽  
The World

Every day, enormous amounts of information are generated from all sectors, whether it be business, education, the scientific community, the World Wide Web (WWW), or one of many readily available off-line and online data sources. From all of this, which represents a sizable repository of data and information, it is possible to generate worthwhile and usable knowledge. As a result, the field of Data Mining (DM) and knowledge discovery in databases (KDD) has grown in leaps and bounds and has shown great potential for the future (Han & Kamber, 2001). The purpose of this chapter is to survey many of the critical and future trends in the field of DM, with a focus on those which are thought to have the most promise and applicability to future DM applications.

Preparing Tomorrow's Teachers to Use Web-Based Education

2000 ◽  
pp. 129-146 ◽  
Author(s):  
Deborah L. Lowther ◽  
Marshall G. Jones ◽  
Robert T. Plants
Keyword(s):  
Teacher Education ◽  
Preservice Teachers ◽  
World Wide ◽  
Teacher Education Programs ◽  
Education Programs ◽  
Web Based ◽  
Knowledge And Skills ◽  
The World ◽  
The Impact ◽  
Web Based Education

The potential impact of the World Wide Web (WWW) on our educational system is limitless. However, if our teachers do not possess the appropriate knowledge and skills to use the Web, the impact could be less than positive. It is evident, then, that our teachers need to be prepared to effectively use these powerful on-line resources to prepare our children to thrive in a digital society. The purpose of this chapter is to discuss the impact of Web-based education on teacher education programs by addressing the following questions: • How is the World Wide Web impacting education? • Are teacher education programs meeting the challenge of producing certified teachers who are capable of integrating meaningful use of technology into K-12 classrooms? • What is expected of teacher education programs in regards to technology and Web-based education? • What knowledge and skills do preservice teachers need to effectively use Web-based education? • What instructional approaches should be used to prepare preservice teachers to use Web-based education?

The Significant Impact of the COVID-19 Pandemic on Supply Chains

2022 ◽  
pp. 185-202
Author(s):  
Ana Paula Lopes
Keyword(s):  
Supply Chains ◽  
Consumer Demand ◽  
Lessons Learned ◽  
The Other ◽  
Operational Decisions ◽  
Demand And Supply ◽  
The World ◽  
Containment Measures ◽  
The Impact

As the COVID-19 pandemic has spread across the world, the existence of disruptions in demand and supply have become more severe, conducted by containment measures taken by countries and affecting different sectors around the world. Although businesses and workplaces are restarting activities in some countries, with containment measures gradually being lifted, overall consumer demand is expected to remain low, also determined by the loss of jobs and income. Therefore, the scale of the impact on supply chains exceeded anything most companies had anticipated. This study aims to understand how companies were affected and identify some lessons learned about their vulnerabilities and the possible ways to address them in the long term. On the other hand, it is intended to reveal some of the impacts of COVID-19 and make some practical suggestions that can help in political and operational decisions to strengthen and build additional resilience in supply chains in the future.

6. The world wide web of American culture

2018 ◽  
pp. 105-126
Author(s):  
Eric Avila
Keyword(s):  
World Wide Web ◽  
Hip Hop ◽  
World Wide ◽  
American Culture ◽  
Digital Revolution ◽  
The World ◽  
The Sixties ◽  
Aids Crisis ◽  
American Society ◽  
The Impact

If the sixties radicalized the content of American culture, the nineties revolutionized its form. The digital revolution began in California and enveloped the entire world, creating unprecedented opportunities for instantaneous communication and self-expression. “The world wide web of American culture” first describes the impact on American culture of 1970s counterculture; the music genres of disco, pop, and hip hop; the AIDS crisis; and the excesses of 1980s culture. It then explains how the rise of the Internet fostered a new plurality in American society. American culture continues to unite diverse and disparate segments of the population, even as it remains a battleground, fraught with the very tensions and conflicts that define the nation’s history and identity.

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