Covid-19 Attitudes Data

2021 ◽  
Author(s):  
Jessica Fagan ◽  
Jon E. Grahe ◽  
Kate Faasse ◽  
Amber Matteson ◽  
Ricky Haneda ◽  
...  

Dr. Jon Grahe and the students of his 2020 Fall Semester class, Advanced Statistics and Research Methods at Pacific Lutheran University, three collaborators outside of the class, and three collaborators from other universities, collected data from online participants living in the United States (Nraw = 1019, Nprocessed = 821). Participants answered questions pertaining to various subjects related to the Novel Coronavirus-2019 pandemic including how closely they had been gathering information, their information sources, level of trust in various authorities, perceived risk, knowledge of COVID-19, avoidance behaviors, demographics, and COVID-19 exposure. The data are available here: https://osf.io/e8rzm/. These data could be used to examine psychological variables during a pandemic as well as provide a novel, real-world data set for students studying statistics and research methods.

2021 ◽  
Author(s):  
Daniel Prieto-Alhambra ◽  
Kristin Kostka ◽  
Talita Duarte-Salles ◽  
Albert Prats-Uribe ◽  
Anthony Sena ◽  
...  

Abstract Background: Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response [1,2]. Here we present the international Observational Health Data Sciences and Informatics (OHDSI) [3] Characterizing Health Associated Risks, and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation and analysis of COVID-19 RWD.Methods: We conducted a descriptive cohort study using a federated network of data partners in the United States, Europe (the Netherlands, Spain, the UK, Germany, France and Italy) and Asia (South Korea and China). The study protocol and analytical package were released on 11th June 2020 and are iteratively updated via GitHub [4]. Findings: We identified three non-mutually exclusive cohorts of 4,537,153 individuals with a clinical COVID-19 diagnosis or positive test, 886,193 hospitalized with COVID-19, and 113,627 hospitalized with COVID-19 requiring intensive services. All comorbidities, symptoms, medications, and outcomes are described by cohort in aggregate counts, and are available in an interactive website: https://data.ohdsi.org/Covid19CharacterizationCharybdis/. Interpretation: CHARYBDIS findings provide benchmarks that contribute to our understanding of COVID-19 progression, management and evolution over time. This can enable timely assessment of real-world outcomes of preventative and therapeutic options as they are introduced in clinical practice.


2021 ◽  
Vol 1 (1) ◽  
pp. 100-115
Author(s):  
Kate Fischer ◽  
Malika Rakhmonova ◽  
Mike Tran

Abstract Since the spring of 2020 SARS-CoV-2, the novel coronavirus, has upended lives and caused a rethinking of nearly all social behaviors in the United States. This paper examines the ways in which the pandemic, shutdown, and gradual move towards “normal” have laid bare and obfuscated societal pressures regarding running out of time as it pertains to the residential university experience. Promised by movies, television, and older siblings and friends as a limited-time offer, the “typical” college experience is baked into the U.S. imaginary, reinforcing a host of notions of who “belongs” on campus along lines of race, class, and age. Fed a vision of what their whole lives “should be”, students who enter a residential four-year college are already imbued with a nostalgia for what is yet to come, hailed, in Althusser’s (2006[1977]) sense, as university subjects even before their first class. The upheaval of that subjecthood during the pandemic has raised important questions about the purpose of the college experience as well as how to belong to a place that is no longer there.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hechem Ajmi ◽  
Nadia Arfaoui ◽  
Karima Saci

Purpose This paper aims to investigate the volatility transmission across stocks, gold and crude oil markets before and during the novel coronavirus (COVID-19) crisis. Design/methodology/approach A multivariate vector autoregression (VAR)-Baba, Engle, Kraft and Kroner generalized autoregressive conditional heteroskedasticity model (BEKK-GARCH) is used to assess volatility transmission across the examined markets. The sample is divided as follows. The first period ranging from 02/01/2019 to 10/03/2020 defines the pre-COVID-19 crisis. The second period is from 11/03/2020 to 05/10/2020, representing the COVID-19 crisis period. Then, a robustness test is used using exponential GARCH models after including an exogenous variable capturing the growth of COVID-19 confirmed death cases worldwide with the aim to test the accuracy of the VAR-BEKK-GARCH estimated results. Findings Results indicate that the interconnectedness among the examined market has been intensified during the COVID-19 crisis, proving the lack of hedging opportunities. It is also found that stocks and Gold markets lead the crude oil market especially during the COVID-19 crisis, which explains the freefall of the crude oil price during the health crisis. Similarly, results show that Gold is most likely to act as a diversifier rather than a hedging tool during the current health crisis. Originality/value Although the recent studies in the field focused on analyzing the relationships between different markets during the first quarter of 2020, this study considers a larger data set with the aim to assess the volatility transmission across the examined international markets Amid the COVID-19 crisis, while it shows the most significant impact on various financial markets compared to other diseases.


2021 ◽  
Vol 10 (2) ◽  
pp. 01-05
Author(s):  
Augustine Owusu-Addo ◽  
Atianashie Miracle A ◽  
Chukwuma Chinaza Adaobi ◽  
Larissa Agbemelo-Tsomafo

COVID-19, also known as the ‘novel coronavirus disease 2019’, is a respiratory illness and the causative pathogen is officially named as ‘SARS-CoV-2’. Infections with SARS-CoV-2 have now been amplified to a global pandemic – as of April 3, 2020, nearly 1,018,000 cases have been confirmed in more than 195 countries, including more than 300,000 cases within the United States. Public safety guidelines are followed worldwide to stop the spread of COVID-19 and stay healthy. Despite COVID-19 is a respiratory illness with mode of invasion through the respiratory tract, not the gastrointestinal tract, an average food consumer is anxious and concerned about the food safety. Could an individual catch the deadly contagious COVID-19 from groceries brought home from the supermarket – or from the next restaurant takeout order? This brief review elucidates the epidemiology and pathobiological mechanism(s) of SARS-CoV-2 and its implications in food-borne infections, transmission via food surfaces, food processing and food handling.


2021 ◽  
pp. 003335492110587
Author(s):  
Andrew D. Redd ◽  
Lauren S. Peetluk ◽  
Brooke A. Jarrett ◽  
Colleen Hanrahan ◽  
Sheree Schwartz ◽  
...  

The public health crisis created by the COVID-19 pandemic has spurred a deluge of scientific research aimed at informing the public health and medical response to the pandemic. However, early in the pandemic, those working in frontline public health and clinical care had insufficient time to parse the rapidly evolving evidence and use it for decision-making. Academics in public health and medicine were well-placed to translate the evidence for use by frontline clinicians and public health practitioners. The Novel Coronavirus Research Compendium (NCRC), a group of >60 faculty and trainees across the United States, formed in March 2020 with the goal to quickly triage and review the large volume of preprints and peer-reviewed publications on SARS-CoV-2 and COVID-19 and summarize the most important, novel evidence to inform pandemic response. From April 6 through December 31, 2020, NCRC teams screened 54 192 peer-reviewed articles and preprints, of which 527 were selected for review and uploaded to the NCRC website for public consumption. Most articles were peer-reviewed publications (n = 395, 75.0%), published in 102 journals; 25.1% (n = 132) of articles reviewed were preprints. The NCRC is a successful model of how academics translate scientific knowledge for practitioners and help build capacity for this work among students. This approach could be used for health problems beyond COVID-19, but the effort is resource intensive and may not be sustainable in the long term.


2020 ◽  
Vol 53 (2) ◽  
pp. 357-364 ◽  
Author(s):  
Mark Pickup ◽  
Dominik Stecula ◽  
Clifton van der Linden

The novel coronavirus reached the United States and Canada almost at the same time. The first reported American case was January 20, 2020, and in Canada it was January 15, 2020 (Canada, 2020; Holshue et al., 2020). Yet, the response to this crisis has been different in the two countries. In the US, President Donald Trump, prominent Republicans, and conservative media initially dismissed the dangers of COVID-19 (Stecula, 2020). The pandemic became politicized from the early days, and even though Trump and Republicans have walked back many of their initial claims, there continue to be media reports of partisan differences in public opinion shaped by that early response. At the same time, the response in Canada has been mostly characterized by across-the-board partisan consensus among political elites (Merkley et al., 2020).


Author(s):  
Clara Martinez-Perez ◽  
Cristina Alvarez-Peregrina ◽  
Cesar Villa-Collar ◽  
Miguel Ángel Sánchez-Tena

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.


2020 ◽  
Vol 92 (4) ◽  
pp. 745-757
Author(s):  
Jane F. Thrailkill

Abstract People over sixty-five have been singled out as a uniquely vulnerable risk group for the novel coronavirus. Yet the discourse of risk obscures (and exacerbates) socially created dangers of congregate care in the United States: poorly paid workers holding down multiple jobs and the endemic “plagues” of loneliness, boredom, and hopelessness. Humorous memes about who counts as old point out structural inequalities, while millions of able-bodied “shut-ins” (due to lockdowns and job losses) may experience forced empathy: fuel for new imaginings about how to care for—and value—elders moving forward.


With the presence of computer and internet, a developing variety of hoodlums are utilizing the web to spread a wide extend of illicit materials and wrong information universally in mysterious manner, making criminal personality following troublesome in the cybercrime examination handle. The virtual world provides criminals with an anonymous environment to conduct malicious activities such as malware, sending random messages, spamming, stealing intellectual property and sending ransom e-mails. All of these activities are text in somehow. Therefore, there is a need for a tool in order to identify the author or creator of this criminality by analyzing the text. Text-based Authorship Attribution techniques are used to identify the most possible author from a bunch of potential suspects of text. In this paper, the novel approach is presented for authorship attribution in English text using ASCII based processing approach Using this ASCII based method for authorship attribution help us to obtain better result in terms of accuracy and computational efficiency. The result is based on the text which is posted on social media considering real world data set.


2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Milen L. Radell ◽  
Brian M. McGuire

AbstractThe novel coronavirus (COVID-19) pandemic has caused unprecedented uncertainty, and differences in how people cope with this uncertainty will influence the cost of viral pandemics to both individuals and society. The personality trait of intolerance of uncertainty (IU), defined as a dispositional fear of the unknown, has been linked to higher health anxiety and fear of the virus. Although IU may increase the desire for medical information and treatment, during pandemics, this might be weighed against the risk of becoming infected while in a healthcare setting. We examined whether people with higher IU report greater fear of healthcare settings, and show more desire to be tested for the virus. Residents of the United States (n = 149) were surveyed in early May 2020, while most states had active stay-at-home orders. Higher prospective but not inhibitory IU predicted more fear of healthcare settings. The largest effect size, however, was for fear of leaving the home, indicating a general tendency toward fear and avoidance. Fear of leaving the home, perceiving the virus as dangerous, access to testing, and having symptoms were significant predictors of desire for testing.


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