scholarly journals Structural Topic Model Analysis of Mask-Wearing Issue Using International News Big Data

2021 ◽  
Vol 18 (12) ◽  
pp. 6432
Author(s):  
Kyeo Re Lee ◽  
Byungjun Kim ◽  
Dongyan Nan ◽  
Jang Hyun Kim
Keyword(s):  
Big Data ◽  
Topic Model ◽  
Model Analysis ◽  
Big Data Analysis ◽  
World Health ◽  
International News ◽  
The World ◽  
Before And After ◽  
The Face ◽  
Structural Topic Model

Media plays an important role in the acquisition of health information worldwide. This was particularly evident in the face of the COVID-19 epidemic. Relatedly, it is practical and desirable for people to wear masks for health, fashion, and religious regions. However, depending on cultural differences, people naturally accept wearing a mask, or they look upon it negatively. In 2020, the COVID-19 pandemic led to widespread mask-wearing mandates worldwide. In the case of COVID-19, wearing a mask is strongly recommended, so by analyzing the news data before and after the spread of the epidemic, it is possible to see how the direction of crisis management is being structured. In particular, by utilizing big data analysis of international news data, discourses around the world can be analyzed more deeply. This study collected and analyzed 58,061 international news items related to mask-wearing from 1 January 2019 to 31 December 2020. The collected dataset was compared before and after the World Health Organization’s pandemic declaration by applying structural topic model analysis. The results revealed that prior to the declaration, issues related to the COVID-19 outbreak were emphasized, but afterward, issues related to movement restrictions, quarantine management, and local economic impacts emerged.

INTERNATIONAL NEWS AND REPORTS

PEDIATRICS ◽  
1948 ◽  
Vol 2 (4) ◽  
pp. 499-504
Keyword(s):  
Child Health ◽  
Malaria Control ◽  
Venereal Disease ◽  
World Health ◽  
International News ◽  
World Health Assembly ◽  
The World ◽  
Health Organization ◽  
First World ◽  
And Child Health

The First World Health Assembly convened in Geneva, Switzerland, on June 24, 1948, and remained in session until July 24. Fifty-four nations sent delegates. The work of this First Assembly centered around the development of a program of action for the World Health Organization. After discussions of a long list of possible activities, the Assembly adopted a program which established certain priorities for the work of the Organization during the coming year. Malaria control, maternal and child health, tuberculosis and venereal disease control, nutrition and environmental sanitation were placed in the top priority. To carry out these priority programs the WHO authorized the appointment of expert committees and the establishment of appropriate sections of work in the secretariat of the Organization.

scholarly journals Leviathan, or the Rudder of Public Health

2017 ◽  
Vol 2 (Suppl. 1) ◽  
pp. 1-8
Author(s):  
Denis Horgan ◽  
Walter Ricciardi
Keyword(s):  
Public Health ◽  
Big Data ◽  
New Technologies ◽  
Personalised Medicine ◽  
Member States ◽  
Reform Agenda ◽  
The World ◽  
The Face ◽  
The Eu ◽  
Do So

In the world of modern health, despite the fact that we've been blessed with amazing advances of late - the advent of personalised medicine is just one example - “change” for most citizens seems slow. There are clear discrepancies in availability of the best care for all, the divisions in access from country to country, wealthy to poor, are large. There are even discrepancies between regions of the larger countries, where access often varies alarmingly. Too many Member States (with their competence for healthcare) appear to be clinging stubbornly to the concept of “one-size-fits-all” in healthcare and often stifle advances possible through personalised medicine. Meanwhile, the legislative arena encompassing health has grown big and unwieldy in many respects. And bigger is not always better. The health advances spoken of above, an increased knowledge on the part of patients, the emergence of Big Data and more, are quickly changing the face of healthcare in Europe. But healthcare thinking across the EU isn't changing fast enough. The new technologies will certainly speak for themselves, but only if allowed to do so. Acknowledging that, this article highlights a positive reform agenda, while explaining that new avenues need to be explored.

scholarly journals REVIEW:APPLICATION OF BIG DATA AND IOT PROTECTED MODE IN AGRICULTURE

2021 ◽  
Vol 5 (12) ◽  
Author(s):  
Dr.Anita K.Patil ◽  
Dr.A.R. Laware
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Climatic Factors ◽  
Cost Effective ◽  
Big Data Analysis ◽  
Modern Agriculture ◽  
Agriculture Industry ◽  
The Face ◽  
Smart Agriculture ◽  
Protected Mode

Advance researches in the field of Internet of Things (IoT) are helping to make water management smarter and also used for optimizing consumption in the smart agriculture industry. Now days the development and research in Intelligent Smart Farming IoT based devices is turning the face of agriculture production in enhancing as well making it cost-effective and reducing wastage. To create environmental conditions suitable for the growth of animals and plants, modern agriculture that uses artificial techniques to change climatic factors such as temperature a highly efficient protected agriculture mode is used. To handle the increasing challenges of agricultural production, the complex agricultural ecosystems need to be better understood. Modern digital technology used for continuously monitoring the physical environment and producing large quantities of data in an unprecedented pace. For improving productivity the analysis of big data would enable farmers and companies to extract value from it. Moreover big data analysis is leading to advances in various industries; it has not yet been widely applied in agriculture. The objective of this paper is to perform a review on current studies and research works in agriculture which employs the recent practice of big data analysis, in order to solve various relevant problems.

scholarly journals COVID-19 in the International Year of Plant Health

2022 ◽  
Vol 39 (4) ◽  
Author(s):  
José Jorge Gutiérrez-Samperio
Keyword(s):  
Life Forms ◽  
Plant Health ◽  
World Health ◽  
Human Beings ◽  
Pests And Diseases ◽  
The Bible ◽  
United Nations General ◽  
The World ◽  
The Face ◽  
Health Organization

<p>Pests, in their broad sense, have played an important part in the history of humankind. We could say that humans, crops and pests have walked together through life. Codices, glyphs, paintings and countless ancient documents, including the Bible and the Koran, bear witness to this. Humanity has been attacked by its own diseases, but also by those that limit them from obtaining food and deteriorate the environment. COVID-19, which is now troubling us and was declared a pandemic by the World Health Organization in March of 2020, became a part of the list of experiences we have suffered in the past, with pests or epidemics that caused millions of deaths by diseases or famines. It is paradoxical that this health contingency occurs when the United Nations General Assembly, on December 20th, 2018, in its resolution A/RES/73/252 decides to declare 2020 the International Year of Plant Health in order to “highlight the importance of plant health to improve food security, protect the environment and biodiversity and boost economic development” according to the pronouncement by the FAO. For the first time, in an era with great technological and scientific breakthroughs, humanity was aware of its vulnerability against the inevitable evolution of life forms in the face of dilemmas global impact caused by human beings. Thus, the pest or parasite makes its own declaration of existential preeminence through SARS-CoV-2 to remind us that the health of humans or plants is the essence of life and its continuity. But perhaps absolute health is not enough. It is necessary to find a balance in a world overwhelmed by giving so much in return for almost nothing to everyone living on it. If the sensor of our anthropocentric intervention of the world is climate change, then biological chaos is a masterpiece. The reemergence of pests and diseases considered eradicated, or those of zoonotic origin that had never accompanied our existence is a surreal dystopia that we will never be able to deny again.</p>

scholarly journals Peter Chew Formular for calculate Covid-19 Vaccine efficiency

2021 ◽  
Author(s):  
Peter chew
Keyword(s):  
Relative Risk ◽  
New England ◽  
Target Population ◽  
World Health ◽  
Medical Worker ◽  
The Public ◽  
1 Peter ◽  
The World ◽  
Before And After ◽  
Health Organization

Abstract Background: The World Health Organization (WHO) said the situation in India was a "devastating reminder" of what the coronavirus could do. India shifts from mass vaccine exporter to importer, worrying the world. Every country needs to vaccinate its citizens faster, vaccination can reduce viral load. This results in vaccination that can reduce transmission, preventing serious illness and death'. Therefore, Countries with higher levels of vaccination can prevent them from becoming "Second India".Preprint study, Vaccination Education App (1). [Peter Chew, 2021] shows that most people do not take the covid-19 vaccine because they question the safety and effectiveness of the vaccine. Therefore, it is important to create a simple formula for calculate the efficiency of the covid-19 vaccine. The purpose of creating this calculation formula is to allow the public to calculate the efficiency of the covid-19 vaccine by themselves, so that they can understand the effectiveness of the vaccine and decide to take the vaccine. This helps to get a high response to COVID vaccinationMethods: Use the Data publish at The New England JOURNAL of MEDICINE, Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine [Fernando P. Polack et all , 2020]. Calculate of Pfizer BioNTech’s COVID-19 vaccine efficiency by using normal formular and Peter Chew Formular , show that the same result are obtain, which is 95.0599 %. In addition, By using public news information, the public can use the Peter Chew formula to easily calculate Covid-19 vaccine efficacy. This is to ensure public can do the calculation themselves. A calculation of relative risk is also provided to provide more information to persuade the public to take the vaccine.Results: The efficiency of Pfizer BioNTech's COVID-19 vaccine for Malaysian medical worker calculated by using the Peter Chew formula is 95.0599 %. In addition, the calculation of Peter Chew's formula also shows that before the vaccination, about 12 medical staff were infected every day, but after the full vaccination, only about one medical worker was infected every two days. The calculation of relative risk can also make it easier for the public to know that people who are not vaccinated with Pfizer BioNTech's COVID-19 vaccine are 22 times more likely to be infected than people who are fully vaccinated. The above results can convince those who easily question the effectiveness of vaccination.Conclusions: Peter Chew Formular easy to calculate, and the data required for the Peter Chew Formular calculation easy to obtain from public news. This is to ensure that the public can calculate the efficacy of the vaccine by themselves. The information on the calculation can let public compare the average target group get infected every day before and after fully vaccination is also an advantage to let public know the effectiveness of vaccination. One of the advantage of Peter Chew formulator is that we can assume a high target population of vaccination with k = 100, such as the medical worker group When k = 100, the Peter Chew formular calculation becomes very simple. The Proof of Peter Chew Formular must also be shown.

Introduction to Use and Analysis of Big Data in E-Learning

2019 ◽  
pp. 75-87
Author(s):  
Renuka Mahajan
Keyword(s):  
Big Data ◽  
Big Data Analysis ◽  
Vital Role ◽  
Interaction Data ◽  
The World ◽  
Learner Interaction ◽  
E Learning ◽  
One Year ◽  
Tools And Techniques ◽  
Data Analytic

In today's world everything is connected and is either consuming data or generating data. The world is changing so fast that even one-year-old data may not be useful, and hence, big data analysis plays a very vital role for higher management of any organizations for decision making. Data warehousing helps in gathering and storing verifiable information into a single entity. Data can be of different types like speech, text, etc. It can be structured or unstructured. Each data point is characterized in terms of volume or variety. This chapter gives an overview of how to utilize the learner interaction data from a particular website and how patterns can be captured by analyzing learner interaction data with big data analytic tools. Big data has risen in the field of education and has many challenges like storage, combining, analysis, and scalability of big data. It covers tools and techniques that can be used. The results from this study will have implications for new learners to the e-learning website, website designers, and academicians.

scholarly journals Evaluating New Extension Agent Communication Training Effectiveness to Prepare Agricultural and Environmental Communicators for Global Issues

2019 ◽  
Vol 26 (3) ◽  
pp. 121-133
Author(s):  
Jessica Holt ◽  
Arthur Leal ◽  
Angela Hurt
Keyword(s):  
Daily Basis ◽  
Communication Training ◽  
Land Grant ◽  
Land Grant Universities ◽  
Global Issues ◽  
Extension Agent ◽  
The World ◽  
Before And After ◽  
Post Test ◽  
The Face

Extension agents are a valuable source of information within their communities throughout the world. Tasked with sharing research-based information from the universities and serving as the land-grant university within their communities, agents are the face and voice of the university on daily basis. However, this research sought to determine how confident new agents in Georgia were in their ability to effectively communicate within their communities before and after attending a communication workshop. Using a retrospective pre- and post-test survey, the results indicated the agents were most confident in their abilities create high-quality promotional videos and write Public Service Announcements for radio after the training. The results indicated agents were least confident in their abilities to utilize the Extension data base and write effectively. Overall, the results indicated in increase in agents’ perceived ability to effectively communicate in their communities after attending the training. Additionally, the results provide direction for future training and workshops to better prepare agents to effectively communicate information from land-grant universities to their communities and the world. Keywords: communication training; research-based communication; Extension agent workshop; Extension communication

scholarly journals Covid-19 Sonrası Normalleşme Sürecinde Rekreasyonel Aktivite Kullanımlarının Değişimi ve Kentsel Yeşil Alan Özlemi

2020 ◽  
Vol 8 (sp1) ◽  
pp. 8-12
Author(s):  
Sertaç Güngör ◽  
Burcu Öner
Keyword(s):  
World Health ◽  
Recreational Activities ◽  
Psychological Conditions ◽  
First Case ◽  
Epidemic Period ◽  
The World ◽  
Before And After ◽  
Health Organization ◽  
Short Time ◽  
Normalization Process

In this study, we examined how the new type of coronavirus (COVID-19), which originated in Vuhan, China, affected the whole world in a short time, affected individuals ‘ recreational activities and how much these activities changed after the normalization process. After the first case was announced in our country on March 10, 2020, many measures were taken, and within the scope of these measures, bans and partial bans occurred. The coronavirus, which has been declared a pandemic by the World Health Organization and has become a deadly virus all over the world, has also directly affected the recreational activities of people. The study, the longing of individuals to green areas during this epidemic period was evaluated by comparing the conditions before and after the normalization process of recreational activities. In addition, the findings obtained in accordance with the survey conducted in the study indicate that the new coronavirus affects both the recreational activities and psychological conditions of people.

Face mask detection application and dataset

2021 ◽  
Vol 27 (2) ◽  
Author(s):  
Daniel Matthias ◽  
Chidozie Managwu ◽  
O. Olumide
Keyword(s):  
Disease Transmission ◽  
Face Mask ◽  
World Health ◽  
The World ◽  
The Face ◽  
Monitoring And Enforcement ◽  
Health Organization ◽  
Experimental Findings ◽  
Recognition Software ◽  
Deep Learning Model

The COVID–19 pandemic is, without any doubt, changing our world in ways that are beyond our wildest imagination. In a bid to curb the spiraling negative fallouts from the virus that has resulted in a large number of casualties and security concerns. The World Health Organization, amongst other safety protocols, recommended the compulsory wearing of face masks by individuals in public spaces. The problem with the enforcement of this and other relevant safety protocols, all over the world, is the reluctance and outright refusal of citizens to comply and the inability of relevant agencies to monitor and enforce compliance. This paper explores the development of a CCTV–enabled facial mask recognition software that will facilitate the monitoring and enforcement of this protocol. Such models can be particularly useful for security purposes in checking if the disease transmission is being kept in check. A constructive research methodology was adopted, where a pre-trained deep convolutionary neural network (CNN) (mostly eyes and forehead regions) used and the most probable limit (MPL) was use for the classification process. The designed method uses two datasets to train in order to detect key facial features and apply a decision-making algorithm. Experimental findings on the Real-World-Masked-Face-Dataset indicate high success in recognition. A proof of concept as well as a development base are provided towards reducing the spread of COVID-19 by allowing people to validate the face mask via their webcam. We recommend that the use of the app and to further investigate the development of highly robust detectors by training a deep learning model with respect to specified face-feature categories or to correctly and incorrectly wear mask categories.

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