Politics Go "Viral": A Computational Text Analysis of the Public Attribution and Attitude Regarding the COVID-19 Crisis and Governmental Responses on Twitter

The U.S. confronts an unprecedented public health crisis, the COVID-19 pandemic, in the presidential election year in 2020. In such a compound situation, a real-time dynamic examination of how the general public ascribe the crisis responsibilities taking account to their political ideologies is helpful for developing effective strategies to manage the crisis and diminish hostility toward particular groups caused by polarization. Social media, such as Twitter, provide platforms for the public's COVID-related discourse to form, accumulate, and visibly present. Meanwhile, those features also make social media a window to monitor the public responses in real-time. This research conducted a computational text analysis of 2,918,376 tweets sent by 829,686 different U.S. users regarding COVID-19 from January 24 to May 25, 2020. Results indicate that the public's crisis attribution and attitude toward governmental crisis responses are driven by their political identities. One crisis factor identified by this study (i.e., threat level) also affects the public's attribution and attitude polarization. Additionally, we note that pandemic fatigue was identified in our findings as early as in March 2020. This study has theoretical, practical, and methodological implications informing further health communication in a heated political environment. [ FROM AUTHOR] Copyright of Social Science Computer Review is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises.

BACKGROUND: The COVID-19 pandemic was a "wake up" call for public health agencies. Often, these agencies are ill-prepared to communicate with target audiences clearly and effectively for community-level activations and safety operations. The obstacle is a lack of data-driven approaches to obtaining insights from local community stakeholders. Thus, this study suggests a focus on listening at local levels given the abundance of geo-marked data and presents a methodological solution to extracting consumer insights from unstructured text data for health communication. METHODS: This study demonstrates how to combine human and Natural Language Processing (NLP) machine analyses to reliably extract meaningful consumer insights from tweets about COVID and the vaccine. This case study employed Latent Dirichlet Allocation (LDA) topic modeling, Bidirectional Encoder Representations from Transformers (BERT) emotion analysis, and human textual analysis and examined 180,128 tweets scraped by Twitter Application Programming Interface's (API) keyword function from January 2020 to June 2021. The samples came from four medium-sized American cities with larger populations of people of color. RESULTS: The NLP method discovered four topic trends: "COVID Vaccines," "Politics," "Mitigation Measures," and "Community/Local Issues," and emotion changes over time. The human textual analysis profiled the discussions in the selected four markets to add some depth to our understanding of the uniqueness of the different challenges experienced. CONCLUSIONS: This study ultimately demonstrates that our method used here could efficiently reduce a large amount of community feedback (e.g., tweets, social media data) by NLP and ensure contextualization and richness with human interpretation. Recommendations on communicating vaccination are offered based on the findings: (1) the strategic objective should be empowering the public; (2) the message should have local relevance; and, (3) communication needs to be timely.

The Link of COVID-19-Related Beliefs and Information Sources to Ageism: Myth or Reality?

This study aimed to understand ambivalent ageism among younger adults during the pandemic by examining whether younger adults' beliefs around COVID-19 and the sources from which they received COVID-19 information were associated with the intensity of their ageism. For this aim, survey data were collected from individuals ages 18 to 44 between July and September 2021. Multiple hierarchical regression analysis revealed that benevolent ageism was more intense than hostile ageism when two subscales of ambivalent ageism-benevolent and hostile-were compared. Hispanic or Latinx respondents showed less intense ambivalent ageism than non-Hispanic and non-Latinx respondents. The respondents' beliefs about safety measures and the prioritization of medical resources were significantly associated with the intensity of their ageism. Receiving COVID-19 information via traditional media and social media was also significantly associated with more intense ageism. These findings indicate that social work advocacy should continue to combat ageism in times of crisis.

The Role of COVID-19-Associated Fear, Stress and Level of Social Support in Development of Suicidality in Patients Diagnosed with Affective and Stress-Induced Psychiatric Disorders during the COVID-19 Pandemic-A Comparative Analysis.

Only a few studies seem to address suicidality as an effect of the COVID-19 pandemic in persons previously affected by psychiatric disorders. The relationship between fear and stress caused by the COVID-19 pandemic and the level of social support and suicidality in patients diagnosed with affective and stress-induced psychiatric disorders prior to the onset of the COVID-19 pandemic were investigated. This study was observational and involved 100 participants. The examined period was from April 2020 to April 2022. The Fear of COVID-19 Scale (FCV-19S), the Oslo Social Support Scale 3 (OSSS-3) and general psychiatric interviews were used to obtain data. A statistically significant relationship between the impact of COVID-19-related distress on the occurrence of suicidality and the year of the pandemic χ2(2, N = 100) = 8.347, p = 0.015 was observed. No statistically significant correlation was found between suicidal behavior, stress intensity, fear and the score on the social support scale (p > 0.05). Fear related to the COVID-19 pandemic can only be seen as a contributor to suicidality. Overall, social support does not always act protectively. Previously stressful experiences such as wars, poverty and natural disasters seem to play a significant role in the resilience to each new public health crisis.

COVID-19 Pandemic, Crisis Responses and the Changing World: Perspectives in Humanities and Social Sciences

This book comprehensively analyzes COVID-19 and its impact as well as the response from the perspectives of humanities and social sciences. This book covers topics ranging from geopolitical relations to regional integration, public health governance and even the evolution of professional practices in the time of COVID-19. It constitutes a precious and timely interdisciplinary reference for anyone aspiring not only to grasp the origins and dynamics of the present challenge, but also to identify future opportunities for further growth and holistic progress for humanity. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.

Examining the role of Indigenous primary healthcare across the globe in supporting populations during public health crises.

When health systems are overwhelmed during a public health crisis regular care is often delayed and deaths result from lapses in routine care. Indigenous primary healthcare (PHC) can include a range of programmes that incorporate treatment and management, prevention and health promotion, as well as addressing the social determinants of health (SDoH) and a focus on redressing health inequities. We examined how Indigenous PHC mobilises and innovates during a public health crisis to address patient needs and the broader SDoH. A rapid review methodology conducted from January 2021 - March 2021 was purposefully chosen given the urgency with COVID-19, to understand the role of Indigenous PHC during a public health crisis. Our review identified five main themes that highlight the role of Indigenous PHC during a public health crisis: (1) development of culturally appropriate communication and education materials about vaccinations, infection prevention, and safety; (2) Indigenous-led approaches for the prevention of infection and promotion of health; (3) strengthening intergovernmental and interagency collaboration; (4) maintaining care continuity; and (5) addressing the SDoH. The findings highlight important considerations for mobilising Indigenous PHC services to meet the needs of Indigenous patients during a public health crisis such as the COVID-19 pandemic.

The impact of COVID-19 on science journalists in South Africa: Investigating effects, challenges, quality concerns and training needs

Since early 2020, the COVID-19 pandemic demanded ongoing media coverage unprecedented in its scope and reach. As a result, the pandemic dominated global and national news headlines for an extended period of time. Science and health journalists, and their colleagues covering other journalistic beats, were called upon to report on various aspects of the COVID-19 pandemic and many journalists found themselves in unchartered waters. To investigate the effects of the pandemic on journalists in South Africa, we adopted a qualitative approach and conducted semi-structured, in-depth interviews with twenty science, health and environmental journalists. We explored the challenges and demands that they faced, as well as how the pandemic changed science journalism in South Africa. This study high-lights journalists' capacity-building needs as identified during the pandemic and suggests ways to strengthen science journalism in the country. © 2023 Intellect Ltd.

Factors Affecting Stress and Mental Health During the COVID-19 Pandemic.

OBJECTIVE: This study examined the factors influencing the mental health and stress of individuals during the coronavirus disease-2019 (COVID-19) pandemic. METHODS: A total of 600 participants were enrolled in this anonymous questionnaire survey that included questions on their demographic profiles and experiences related to the COVID-19 pandemic. The COVID-19 Stress Scale for Korean People (CSSK), Warwick- Edinburgh Mental Wellbeing Scale, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Insomnia Severity Index, and Multidimensional Scale of Perceived Social Support were used. Data were analyzed using multiple regression to identify the factors affecting the total CSSK scores and the scores of each of the three CSSK subscales. RESULTS: Multiple regression analyses revealed that the severity of insomnia, sex, degree of income decline, occupation, religion, education level, marital status, residential status, level of social support, and degree of depression and anxiety had significant relationships with COVID-19-related stress. CONCLUSION: We identified factors affecting stress and mental health in the general population during the COVID-19 pandemic. Our findings may be helpful in providing an individualized approach to managing the mental health of the public. We expect that the results of this study will be used to screen high-risk individuals vulnerable to stress and to establish policies related to the public health crisis.

Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm.

BACKGROUND: Monitoring the psychological conditions of social media users during rapidly developing public health crises, such as the COVID-19 pandemic, using their posts on social media has rapidly gained popularity as a relatively easy and cost-effective method. However, the characteristics of individuals who created these posts are largely unknown, making it difficult to identify groups of individuals most affected by such crises. In addition, large annotated data sets for mental health conditions are not easily available, and thus, supervised machine learning algorithms can be infeasible or too costly. OBJECTIVE: This study proposes a machine learning framework for the real-time surveillance of mental health conditions that does not require extensive training data. Using survey-linked tweets, we tracked the level of emotional distress during the COVID-19 pandemic by the attributes and psychological conditions of social media users in Japan. METHODS: We conducted online surveys of adults residing in Japan in May 2022 and collected their basic demographic information, socioeconomic status, and mental health conditions, along with their Twitter handles (N=2432). We computed emotional distress scores for all the tweets posted by the study participants between January 1, 2019, and May 30, 2022 (N=2,493,682) using a semisupervised algorithm called latent semantic scaling (LSS), with higher values indicating higher levels of emotional distress. After excluding users by age and other criteria, we examined 495,021 (19.85%) tweets generated by 560 (23.03%) individuals (age 18-49 years) in 2019 and 2020. We estimated fixed-effect regression models to examine their emotional distress levels in 2020 relative to the corresponding weeks in 2019 by the mental health conditions and characteristics of social media users. RESULTS: The estimated level of emotional distress of our study participants increased in the week when school closure started (March 2020), and it peaked at the beginning of the state of emergency (estimated coefficient=0.219, 95% CI 0.162-0.276) in early April 2020. Their level of emotional distress was unrelated to the number of COVID-19 cases. We found that the government-induced restrictions disproportionately affected the psychological conditions of vulnerable individuals, including those with low income, precarious employment, depressive symptoms, and suicidal ideation. CONCLUSIONS: This study establishes a framework to implement near-real-time monitoring of the emotional distress level of social media users, highlighting a great potential to continuously monitor their well-being using survey-linked social media posts as a complement to administrative and large-scale survey data. Given its flexibility and adaptability, the proposed framework is easily extendable for other purposes, such as detecting suicidality among social media users, and can be used on streaming data for continuous measurement of the conditions and sentiment of any group of interest.

Gun violence in United States during the second year of the COVID-19 pandemic.

Objective: In the first year of the COVID-19 pandemic, gun violence (GV) rates in the United States (US) rose by 30%. We estimate the relative risk of GV in the US in the second year compared to the first year of the pandemic, in time and space. Methods: Daily police reports of gun-related injuries and deaths in the 50 states and the District of Columbia from March 1, 2020, to February 28, 2022, were obtained from the GV Archive. Generalized linear mixed-effects models in the form of Poisson regression analyses were utilized to estimate state-specific rates of GV. Results: Nationally, GV rates during the second year of the pandemic (March 1, 2021, through February 28, 2022) remained the same as that of the first year (March 1, 2020, through February 28, 2021) (Intensity Ratio = 0.996; 95% CI 0.98, 1.01; p = 0.53). Nevertheless, hotspots of GV were identified. Nine (18%) states registered a significantly higher risk of GV during the second year of the pandemic compared to the same period in the first year. In 10 (20%) states, the risk of GV during the second year of the pandemic was significantly lower compared to the same period in the first year. Conclusion: GV risk in the US is heterogeneous. It continues to be a public health crisis, with 18% of the states demonstrating significantly higher GV rates during the second year of the COVID-19 pandemic compared to the same timeframe 1 year prior.

High short interest stocks performance during the Covid-19 crisis: an informational efficacy measure based on permutation-entropy approach

Purpose: The author examine the performance of a number of high short interest stocks along with the prices of the GameStop stock and three major stock exchange indices, particularly for the period after the eruption of the Covid-19 crisis. Design/methodology/approach: With the employment of the complexity–entropy causality plane approach, the author categorize the stock prices in terms of the level of informational efficiency. Findings: The author reported that the efficiency level for the index of the high short interest stocks falls considerably, not only at the onset of the Covid-19 crisis but during the health crisis period at hand. This is translated into proof of less uncertainty in predicting the stock prices of these specific stocks. On the other hand, the GameStop prices exhibit the same behavior as those with the high short interest firms, but change considerably in the middle of the crisis. The reversal of the behavior, by obtaining higher informational efficiency levels, is attributed to the short squeeze frenzy that increased the price of the stock many times over. Among the stock market indices, the Dow Jones Industrial Average and the S&P 500 decreased their efficiency levels marginally, after the surge of the crisis, while the Russell 2000 index kept the level intact. The high and stable degree of randomness could be attributed to the measures taken concurrently by the Federal Reserve and the government immediately after the outbreak of the crisis. Originality/value: This is one of the few studies that examine the impact of short selling behavior on the efficiency level of certain stocks' prices, particularly during the health public crisis. It provides an alternative approach to measuring quantitatively the degree of inefficiency and randomness. © 2023, Emerald Publishing Limited.

Parents' and children's intolerance of uncertainty and their reactions to COVID-19: A story of remarkable similarity.

The COVID-19 viral outbreak is a one in 100 year public health crisis. In addition to the stunning morbidity and mortality rates related to infection, multiple psychiatric sequelae erupted. Unfortunately, children and adolescents are neither immune to infection nor to the emotional consequences associated with the pandemic. Not surprisingly, the field's understanding of the psychological consequences of the viral outbreak are nascent. Consequently, this study examines the relationship between parents' and children's intolerance of uncertainty (IU) and their reactions to COVID-19. Seventy-three parents and 62 children participated in the on-line survey utilizing innovative measures of IU and COVID-19- related thoughts/behaviors. The results revealed remarkable similarities in parents' and children's responses. Parents' and children's reports of the impact of COVID on their lives were highly correlated (r = .53, df = 60, p < .001). Parents' perceptions of children's COVID-19 thoughts and behaviors were strongly aligned with the youths' self-report of their COVID reactions (r = .69, df = 60, p < .001) as well as the appraisal of the virus' impact on their lives (r = .-.42, df = 60, p < .001). Finally, children's reports of their COVID-19 related thoughts and behaviors were significantly linked to their IU (r = .60, df = 60, p < .001). Methodological limitations notwithstanding, the study's findings provide compelling implications for the conceptualization, assessment, and treatment of emotional distress in the peri- and post-pandemic periods.

Standardising policy and technology responses in the immediate aftermath of a pandemic: a comparative and conceptual framework.

BACKGROUND: The initial policy response to the COVID-19 pandemic has differed widely across countries. Such variability in government interventions has made it difficult for policymakers and health research systems to compare what has happened and the effectiveness of interventions across nations. Timely information and analysis are crucial to addressing the lag between the pandemic and government responses to implement targeted interventions to alleviate the impact of the pandemic. METHODS: To examine the effect government interventions and technological responses have on epidemiological and economic outcomes, this policy paper proposes a conceptual framework that provides a qualitative taxonomy of government policy directives implemented in the immediate aftermath of a pandemic announcement and before vaccines are implementable. This framework assigns a gradient indicating the intensity and extent of the policy measures and applies the gradient to four countries that share similar institutional features but different COVID-19 experiences: Italy, New Zealand, the United Kingdom and the United States of America. RESULTS: Using the categorisation framework allows qualitative information to be presented, and more specifically the gradient can show the dynamic impact of policy interventions on specific outcomes. We have observed that the policy categorisation described here can be used by decision-makers to examine the impacts of major viral outbreaks such as SARS-CoV-2 on health and economic outcomes over time. The framework allows for a visualisation of the frequency and comparison of dominant policies and provides a conceptual tool to assess how dominant interventions (and innovations) affect different sets of health and non-health related outcomes during the response phase to the pandemic. CONCLUSIONS: Policymakers and health researchers should converge toward an optimal set of policy interventions to minimize the costs of the pandemic (i.e., health and economic), and facilitate coordination across governance levels before effective vaccines are produced. The proposed framework provides a useful tool to direct health research system resources and build a policy benchmark for future viral outbreaks where vaccines are not readily available.

Understanding small-scale COVID-19 transmission dynamics with the Granger causality test.

Mobility patterns have been broadly studied and deeply altered due to the coronavirus disease (COVID-19). In this paper, we study small-scale COVID-19 transmission dynamics in the city of Valencia and the potential role of subway stations and healthcare facilities in this transmission. A total of 2,398 adult patients were included in the analysis. We study the temporal evolution of the pandemic during the first six months at a small-area level. Two Voronoi segmentations of the city (based on the location of subway stations and healthcare facilities) have been considered, and we have applied the Granger causality test at the Voronoi cell level, considering both divisions of the study area. Considering the output of this approach, the so-called 'donor stations' are subway stations that have sent more connections than they have received and are mainly located in interchanger stations. The transmission in primary healthcare facilities showed a heterogeneous pattern. Given that subway interchange stations receive many cases from other regions of the city, implementing isolation measures in these areas might be beneficial for the reduction of transmission.

The relationship between the sources of confidence in overcoming COVID-19 and the improvement of medical students' professional identity: mediation by medical students' attention to COVID-19.

BACKGROUND: The prevalence of COVID-19 highlights the shortage of human medical resources, and improving medical students' professional identity is crucial to improving this situation. The sources of confidence in overcoming COVID-19 and medical students' attention to COVID-19 were significant factors affecting their professional identity. However, no study has investigated the mediating role of medical students' attention to COVID-19 in their relationship. This study investigates the relationship between these three factors in three medical university students in Hunan Province. METHODS: A cross-sectional survey study that used convenience sampling method was conducted on 2775 medical students from three universities in the Hunan Province of China from March 15 to April 19, 2020. An intermediary model was established to evaluate the role of medical students' attention to COVID-19 in the sources of confidence in overcoming COVID-19 and the improvement of medical students' professional identity. RESULTS: The sources of confidence in overcoming COVID-19, medical students' attention to national crisis events, and the improvement of medical students' professional identity was positively associated with each other (ß = 0.328 ~ 0.464, P < 0.001). The mediating effect accounted for 23.3% of the total effect and 30.4% of the direct effect. Medical students' attention to COVID-19 partially mediates the relationship between the sources of confidence to overcome COVID-19 and the improvement of medical students' professional identity. CONCLUSIONS: This study found that the sources of confidence in overcoming COVID-19 and medical students' attention to national crisis events have a significant predictive effect on the improvement of medical students' professional identity. Medical students' attention to COVID-19 mediated the relationship between the sources of confidence to overcome COVID-19 and the improvement of medical students' professional identity. The findings have emphasized the theoretical and practical significance of professional identity education for medical students.

Remain or return? An empirical study of influencing factors on the return of Chinese international students during the COVID-19 pandemic.

Background: COVID-19 is now a global public health crisis with unprecedented political, economic, and social consequences affecting nations across the world. It also has a profound impact on the mobility of international students. When the COVID-19 was under control in China, and it was spreading dramatically in the United Kingdom, Chinese international students studying in the United Kingdom have been caught in a double bind over whether to return home or not. Objective: This study aims to explore the factors that influenced Chinese international students' choices of return during the COVID-19 pandemic when the COVID-19 was under control in China, while it was spreading dramatically in the United Kingdom. Methods: Taking Chinese international students studying in the United Kingdom as an empirical case, this study used qualitative and quantitative research methods to explore the factors that influenced their choices of return. Based on the Rational Choice Theory and qualitative analysis of text data, this paper constructed the influencing factors model of returning to China. On this basis, we developed a questionnaire and collected data from 1,333 students in late April and early May 2020. Binary Logistic Regression with 95% CI for odds ratio (OR) was used to identify significant factors. Results: The reserve of epidemic prevention supplies (OR = 0.712), transportation expenses (OR = 0.618), and quarantine expenses (OR = 0.702) negatively affected the return choice of overseas students. The supply of daily necessities (OR = 1.495), the anti-epidemic policy of the United Kingdom (OR = 1.684), and the demand for job hunting after graduation (OR = 1.661) had positive effects. Conclusion: The institutional rationality had the biggest promoting effect, replaced development rationality, and became the most important factor for overseas students to return to China during the COVID-19 pandemic. Economic rationality, which has a significant negative effect, is the biggest obstacle to returning home. These conclusions have policy implications for governments' response to the COVID-19 epidemic and improvement of the quality of services for overseas students.

Public Service in Times of Politicized Crisis: How Combatting COVID-19 Reveals Threats to Merit Principles

Throughout the COVID-19 pandemic, politicization of public health policy has loomed over the governmental response in the United States. The scope of politicization is underscored by instances of political pressures faced by public employees across state and local government. Observation of such instances prompts questions regarding the implications of highly politicized crisis on public personnel systems. Using systematic qualitative content analysis of data from syndicated news articles, this study identifies publicized instances of adverse personnel actions experienced by public employees during the first six months of the COVID-19 pandemic. Following the identification of publicized instances, this study also explores legislative trends focusing on public personnel systems during highly politicized emergency conditions. Results outline the positional roles subject to adverse actions, along with traits of legislative activity changing public personnel systems in the states identified. Implications of the study and considerations for future research are then discussed. [ FROM AUTHOR]

Digital technology to control COVID-19 in China: issues, challenges and implications for the healthcare system

In the current era, public health crises are presenting new systematic and cross-border characteristics and uncertainty. Public health crises are challenges for governments and health systems. The development of digital technology has changed the world and connected it as a "village", and digital technology has played a critical role in providing support during public health crises over the past three decades. From the perspective of empowerment theory, we explore the role of digital technology in responding to the COVID-19 pandemic and digital technology approaches to controlling COVID-19 in China. Accordingly, we identify the challenges of using digital technology to control public health crises, including the imbalance of the rights and responsibilities of governance subjects, the incompatibility of the governance model and digital technology and the inadequate application of digital technology. Considering implications for the successful prevention and control of COVID-19, we suggest that the government should improve the balance of rights and responsibilities for coordinated crisis governance, link digital technology and the governance system and broaden the grassroots governance community. Copyright © 2022 The Author(s).

‘Riding out the pandemic’: The role of brand message appeals on social media in shaping consumer responses

Social media is a powerful medium for brands to engage with their consumers, especially during a public health crisis (PHC) when consumers are under duress. However, the impact of social media brand messages on consumer responses during a PHC is under-researched. Accordingly, this paper examines the brand message appeals that enhance online consumer response during a recent PHC in form of the COVID-19 pandemic. Four message appeals – emotional, rational, moral, and no-crisis – are proposed. The online consumer response to the messages with those appeals is measured by likes and shares. The variation of the effect across brands that sell essential and non-essential products/services are also examined. Following an exploratory study that examines 100 brand tweets to confirm the presence of the proposed message appeals, a total of 26,362 brand tweets on Twitter are collected and empirically analysed.

Emergency management in university students during coronavirus disease 2019 epidemics: West China urgent recommendation.

During the coronavirus disease 2019 (COVID-19) epidemics, universities take responsibility for the health of their students and epidemic control. Our urgent recommendation focuses on four key questions of emergency management in universities following rigorous evidence-based approaches and provides timely suggestions to university managers, academic faculties and student affairs managers. We recommend universities during the COVID-19 epidemics should: 1) suspend offline lectures;2) provide proper health education on the disease;3) encourage face masks, however oppose using N95 masks on the campus;4) encourage hand hygiene and provide sanitizing products on the campus. Copyright © 2020 West China University of Medical Science. All rights reserved.