scholarly journals The Relationship between Infection-Avoidance Tendencies and Exclusionary Attitudes toward Foreigners: A Panel Study of the COVID-19 Outbreak in Japan

2020 ◽  
Author(s):  
Mei Yamagata ◽  
Tsukasa Teraguchi ◽  
Asako Miura
Keyword(s):  
Panel Study ◽  
The Novel ◽  
Social Changes ◽  
Preventive Behaviors ◽  
Psychological States ◽  
Preventive Actions ◽  
Increased Risk ◽  
Daily Contact ◽  
Novel Coronavirus ◽  
The Relationship

Amidst an outbreak of COVID-19 in January 2020, this study, which based on the behavioral immune system, focused on the preventive behaviors related to COVID-19 infection and Japanese people’s exclusionary attitude toward foreigners, examining the time-series changes associated with the spread of the novel coronavirus in Japan, which was one of the first countries to confirm cases outside China. Also, we examined the effects of individual differences in infection-avoidance tendencies and the frequency of people’s daily contact with foreigners. In late January, mid-February, and early March of 2020, this study conducted a panel survey 1,004 Japanese citizens aged 18 years or above living in Japan, and who had registered with the crowdsourcing service. The results indicated that as the spread of COVID-19 increased, tendencies toward infection-preventive behaviors increased, and exclusionary attitudes toward foreigners became stronger. Similarly, the avoidance response against unfamiliar people, including Japanese strangers increased. No relationship between the increased risk of infection and the Japanese respondents’ exclusionary attitudes toward the Chinese but were more negative than that for other groups. However, it is difficult to conclude that all the reported exclusionary behaviors and attitudes were irrational or excessive false-positive errors. People with strong infection-avoidance tendencies engaged in more preventive actions, regardless of whether they were living under normal circumstances or under threat of infection, and they indicated strong exclusionary attitudes toward foreigners in general and the Chinese specifically under threat of infection. We observed a moderating that the higher the frequency of daily contact with foreigners, the weaker the exclusionary attitudes toward them. This study recorded the behavioral and psychological states of people in Japan during the 40 days preceding the WHO’s 11 March 2020 declaration of the COVID-19 pandemic. The data collected in Japan, where the infection spread widely early on, will provide valuable insights for countries anticipating significant social changes.

scholarly journals The Relationship between Infection-Avoidance Tendency and Exclusionary Attitudes towards Foreigners: A Case Study of the COVID-19 Outbreak in Japan

2020 ◽  
Author(s):  
Mei Yamagata ◽  
Tsukasa Teraguchi ◽  
Asako Miura
Keyword(s):  
Immune System ◽  
Individual Differences ◽  
Web Survey ◽  
Social Changes ◽  
Psychological States ◽  
Avoidance Tendency ◽  
System A ◽  
Preventive Actions ◽  
The Relationship

Amidst the worldwide outbreak of COVID-19 in January 2020, this study focused on the preventive behaviours against COVID-19 infection and the exclusionary attitude towards foreigners in Japan. Particularly, we examined the effects of individual differences in the infection-avoidance tendency based on the behavioural immune system. A web survey of 1,248 Japanese citizens aged 18 years or above living in Japan who were registrants of a crowdsourcing service indicated that as the threat of the COVID-19 spread increased, there were tendencies for infection-preventive behaviours to increase. In addition, people with a strong infection-avoidance tendency adopted more preventive actions, regardless of whether they were under normal circumstances or the threat of infection, indicating their strong rejective attitudes towards the Chinese and other foreigners under the threat of infection. This study recorded the behavioural and psychological states of people who were in the midst of rapid and unpredictable real-world changes in the early stages of the infection. Data collected in Japan, where the infection had begun earlier, will provide valuable knowledge to countries worldwide where major social changes are expected in the future.

The role and relationship of mindreading and social attunement in HRI – position statements of interdisciplinary researchers. Workshop HRI'20

2020 ◽  
Author(s):  
Agnieszka Wykowska ◽  
Jairo Pérez-Osorio ◽  
Stefan Kopp
Keyword(s):  
Mental States ◽  
Human Robot Interaction ◽  
Human Interaction ◽  
Artificial Agents ◽  
The Novel ◽  
Robot Interaction ◽  
Novel Coronavirus ◽  
Relationship Of ◽  
The Relationship

This booklet is a collection of the position statements accepted for the HRI’20 conference workshop “Social Cognition for HRI: Exploring the relationship between mindreading and social attunement in human-robot interaction” (Wykowska, Perez-Osorio & Kopp, 2020). Unfortunately, due to the rapid unfolding of the novel coronavirus at the beginning of the present year, the conference and consequently our workshop, were canceled. On the light of these events, we decided to put together the positions statements accepted for the workshop. The contributions collected in these pages highlight the role of attribution of mental states to artificial agents in human-robot interaction, and precisely the quality and presence of social attunement mechanisms that are known to make human interaction smooth, efficient, and robust. These papers also accentuate the importance of the multidisciplinary approach to advance the understanding of the factors and the consequences of social interactions with artificial agents.

scholarly journals Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19)

2020 ◽  
Vol 17 (20) ◽  
pp. 7690 ◽  
Author(s):  
Clara Martinez-Perez ◽  
Cristina Alvarez-Peregrina ◽  
Cesar Villa-Collar ◽  
Miguel Ángel Sánchez-Tena
Keyword(s):  
Web Of Science ◽  
Citation Network ◽  
The United States ◽  
Disease Spread ◽  
The Novel ◽  
Research Areas ◽  
Citation Network Analysis ◽  
Number Of Publications ◽  
Novel Coronavirus ◽  
The Relationship

Background: The first outbreaks of the new coronavirus disease, named COVID-19, occurred at the end of December 2019. This disease spread quickly around the world, with the United States, Brazil and Mexico being the countries the most severely affected. This study aims to analyze the relationship between different publications and their authors through citation networks, as well as to identify the research areas and determine which publication has been the most cited. Methods: The search for publications was carried out through the Web of Science database using terms such as “COVID-19” and “SARS-CoV-2” for the period between January and July 2020. The Citation Network Explorer software was used for publication analysis. Results: A total of 14,335 publications were found with 42,374 citations generated in the network, with June being the month with the largest number of publications. The most cited publication was “Clinical Characteristics of Coronavirus Disease 2019 in China” by Guan et al., published in April 2020. Nine groups comprising different research areas in this field, including clinical course, psychology, treatment and epidemiology, were found using the clustering functionality. Conclusions: The citation network offers an objective and comprehensive analysis of the main papers on COVID-19 and SARS-CoV-2.

scholarly journals Perceptions and behaviors in response to the novel coronavirus disease 2019 (COVID-19) : reports on major survey findings

2020 ◽  
Author(s):  
Hua Qin ◽  
Yanu Prasetyo ◽  
Christine Sanders ◽  
Elizabeth Prentice ◽  
Muh. Syukron
Keyword(s):  
Online Survey ◽  
The United States ◽  
The Novel ◽  
Sources Of Information ◽  
Perceived Severity ◽  
Preventive Actions ◽  
Email Address ◽  
And Behaviors ◽  
Initial Survey ◽  
Novel Coronavirus

The United States has been affected by an extensive novel coronavirus (COVID-19) outbreak since March 2020. On March 9, 2020 we started an online survey of people’s perceptions and behaviors related to this issue in Missouri and adjacent states (Kansas, Iowa, Illinois, and Arkansas). The survey was ended on June 9, 2020 and in total 7,392 surveys were completed. In order to assess how attitudes and behaviors related to COVID-19 may change over time, two follow-up surveys were conducted with those respondents who indicated interest in the re-surveys and provided an email address. These two working reports summarize major results of the initial survey and three survey waves, including respondents’ perceived severity of the COVID-19 outbreak, sources of information, knowledge about COVID-19, perceptions of COVID-19 risk, satisfaction with management entities, and preventive actions.

scholarly journals Self-blame regret, fear of COVID-19 and mental health during post-peak pandemic

2020 ◽  
Author(s):  
Hacer Belen
Keyword(s):  
Mental Health ◽  
Perceived Stress ◽  
Community Sample ◽  
The Novel ◽  
Multiple Mediation ◽  
Mediation Analyses ◽  
Self Blame ◽  
Novel Coronavirus ◽  
The Relationship

Abstract The novel Coronavirus pandemic caused strong negative emotions including fear, and stress and impacted in mental health of individuals worldwide. One of the emotions linked with mental health and infectious disease is self-blame regret. Thus, current study investigated the role of fear of COVID-19 and perceived stress in the relationship between self-blame regret and depression. A community sample of 352 individuals in Turkey (71 % female and 29 % males), ranged between in age18 and 63 (M= 28.90±8.90), completed fear of COVID-19 (FCV-19S), perceived stress (PSS-10), DASS-21 scales and responded to one item concerning the self-blame regret. Results demonstrated that self-blame regret is positively correlated with fear of COVID-19, perceived stress and depressive symptoms. Moreover, serial multiple mediation analyses demonstrated that both fear of COVID-19 and perceived stress mediated in the relationship between self-blame regret and depression. Findings and implications are discussed.

scholarly journals Impact of the COVID-19 pandemic on logistics firms and their resilience: case studies in Thailand

2021 ◽  
Vol 13 (3) ◽  
pp. 86-98
Author(s):  
Sun Ketudat ◽  
Chawalit Jeenanunta
Keyword(s):  
Case Studies ◽  
Success Factors ◽  
The Novel ◽  
Structured Interviews ◽  
Critical Success ◽  
Top Managers ◽  
It Systems ◽  
Challenges And Opportunities ◽  
Novel Coronavirus ◽  
The Relationship

Abstract The novel Coronavirus (COVID-19) is an infectious disease that is currently causing challenges and opportunities in all sectors worldwide. The logistic industry plays an enormous role in keeping the countries functional, and it accounts for 13.4 % of the total GDP in Thailand. This article aims to identify and justify critical success factors for the Logistic Industries experiencing success and failure during the pandemic. The research was conducted using semi-structured interviews with top managers of three companies from March to September 2021, which is phase 4 of the pandemic. The findings we analysed using thematic analysis to understand the critical factors within the industry. Logistics companies of different sizes were selected for this purpose as case studies aimed to identify the resemblance of the effects and find the relationship with company resilience. Five key supporting factors were identified for the logistics firms to be resilient during the pandemic, including flexibility, Business Continuity Plan, market diversification, IT systems, and leadership.

scholarly journals Molecular Association of Coronavirus with Diabetes Mellitus Type 2 in Pakistan

2020 ◽  
Vol 7 (1) ◽  
pp. 1-12
Author(s):  
Samreen Riaz ◽  
Keyword(s):  
Infectious Disease ◽  
Diabetes Mellitus Type 2 ◽  
The Novel ◽  
Elevated Blood ◽  
Risk Of Death ◽  
Previous Diagnosis ◽  
Increased Risk ◽  
Sugar Levels ◽  
Novel Coronavirus

Patients with COVID-19 who have elevated blood sugar levels without a previous diagnosis of diabetes may be at a high risk of death and an increased risk of severe complications from the infectious disease, a new study says. We aimed to briefly review the general characteristics of the novel coronavirus (SARS-CoV-2) and provide a better understanding of the coronavirus disease (COVID-19) in people with diabetes, and its management.

scholarly journals ANALISIS SENTIMEN PANDEMI COVID19 PADA STREAMING TWITTER DENGAN TEXT MINING PYTHON

2020 ◽  
Vol 18 (2) ◽  
pp. 31
Author(s):  
Anni Karimatul Fauziyyah
Keyword(s):  
Text Mining ◽  
Primary Source ◽  
Data Streaming ◽  
The Novel ◽  
Community Behavior ◽  
N Gram ◽  
To Come ◽  
Novel Coronavirus ◽  
The Impact ◽  
The Relationship

The impact of the novel coronavirus (COVID-19) is widespread and will likely shape community behavior for months to come. And while the humanitarian and safety-related aspects of this outbreak are top of mind globally, it’s unquestionable that social distancing, quarantining, and staying home will have a significant effect on media consumption, which could rise up to 60%, according to recent research from Nielsen’s U.S. media team.  Social media, now a part of everyday life for most consumers engaged with the world digitally, became the primary source for buzz about all things COVID-19 as worries and news intensified. Sentiment analysis is applied in this study to analyze the opinions, feelings, and interests of individuals in the COVID-19. The purpose of this study is to analyze sentiment based on an opinion by classifying individual feelings such as sadness, happiness, or panic in facing a COVID-19 into sentiment level that is negative, positive or, neutral. In this paper, an open-source approach is presented where we have collected tweets from the Twitter API and then reprocessing, analyzing and, visualizing these tweets using python. Furthermore, Twitter data streaming will be processed and cleaned to parse data that can be classified based on opinion with a text mining algorithm using text blob Python. Feature extraction is done for the relationship between words by the Bigram and N-gram methods.

scholarly journals Russian Medical Society for Arterial Hypertension Expert Consensus: Hypertension and COVID-19

2020 ◽  
Vol 17 (3) ◽  
pp. 35-41
Author(s):  
Irina E. Chazova ◽  
Natalia V. Blinova ◽  
Vera A. Nevzorova ◽  
Juliya V. Zhernakova ◽  
Mikhail P. Savenkov ◽  
...  
Keyword(s):  
Arterial Hypertension ◽  
Medical Society ◽  
Target Cells ◽  
The Novel ◽  
Angiotensin Converting Enzyme 2 ◽  
High Prevalence ◽  
Coronavirus Infection ◽  
Novel Coronavirus ◽  
The Relationship ◽  
Russian Medical

The novel coronavirus infection (COVID-19) caused by the b-coronavirus SARS-CoV-2, and leads to acute respiratory distress-syndrome, has affected more than nineteen million people worldwide, resulting in 0.7 million deaths as of August 2020. The fact that the virus uses angiotensin-converting enzyme 2 as a receptor for entering the target cell, and the high prevalence of hypertension and other cardiovascular diseases among patients with COVID-19, have caused serious discussions on the management of such patients. This consensus of experts from the Russian Medical Society for Arterial Hypertension analyzed the existing data on the relationship between COVID-19 and hypertension, the pathophysiological aspects of the penetration of the virus into target cells and the use of renin-angiotensin-aldosterone system inhibitors in patients with hypertension and COVID-19.

scholarly journals Flight to Safety: COVID-Induced Changes in the Intensity of Status Quo Preference and Voting Behavior

2021 ◽  
pp. 1-17
Author(s):  
JAMES BISBEE ◽  
DAN HONIG
Keyword(s):  
Voting Behavior ◽  
Causal Effect ◽  
Status Quo ◽  
Investor Behavior ◽  
Primary Elections ◽  
The Novel ◽  
The Status ◽  
Novel Coronavirus ◽  
Induced Changes ◽  
The Relationship

The relationship between anxiety and investor behavior is well known enough to warrant its own aphorism: a “flight to safety.” We posit that anxiety alters the intensity of voters’ preference for the status quo, inducing a political flight to safety toward establishment candidates. Leveraging the outbreak of the novel coronavirus during the Democratic primary election of 2020, we identify a causal effect of the outbreak on voting, with Biden benefiting between 7 and 15 percentage points at Sanders’s expense. A survey experiment in which participants exposed to an anxiety-inducing prompt choose the less disruptive hypothetical candidate provides further evidence of our theorized flight to safety among US-based respondents. Evidence from 2020 French municipal and US House primary elections suggests a COVID-induced flight to safety generalizes to benefit mainstream candidates across a variety of settings. Our findings suggest an as-yet underappreciated preference for “safe” candidates in times of anxiety.

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