Influences on Attitudes Regarding COVID-19 Vaccination in Germany.

Trust in institutions and democracy may be a major contributor to the willingness to be vaccinated. We investigated these factors and others with regard to COVID-19 vaccine uptake in Germany. Even though effective vaccination is a major contributor to slowing down the current pandemic, vaccine hesitancy remains a major challenge. To analyze attitudes toward vaccine hesitancy, a web-based cross-sectional survey was used to understand and describe the influences of attitudes about vaccination against COVID-19 in the German population. A descriptive analysis for the entire dataset was carried out, and multiple proportional odds regression, path model, and structural equation modeling (SEM) were subsequently used to analyze any relationship between latent variables and COVID-19 vaccine acceptance. In total, 1092 responses from across Germany were analyzed. SEM modeling revealed that trust in institutions, trust in non-pharmaceutical interventions, and various demographic factors were associated with intent to vaccinate. Descriptive analysis and multiple proportional odds regression confirmed that a history of influenza vaccination and level of satisfaction with democratic institutions were highly predictive (p < 0.05) for COVID-19 vaccine acceptance. Additionally, social determinants of health such as gender, age, number of children in the family, and the degree of satisfaction with life were also predictors (p < 0.05) for COVID-19 vaccine acceptance. Results also demonstrated a significant relationship between receiving the flu vaccine and acceptance of the COVID-19 vaccination. Governments that provide COVID-19 vaccines and control messaging should strive for trust and transparency to maximize vaccine uptake. Government-based vaccine measures should also involve measures to communicate trust in democratic and scientific institutions.

Verbalized Studying and Elaborative Interrogation in the Virtual Classroom: Students with Social Anxiety Prefer Working Alone, but Working with a Peer Does Not Hurt Their Learning.

Due to public health measures enacted in response to the Covid-19 pandemic, educators and students alike have been suddenly thrust into the realm of online learning. To better understand how active and collaborative learning methods can apply to students studying in isolation, we compared the effects of two teach-and-question assignments: one that utilizes the active learning method of reciprocal peer tutoring and a solo version that requires individual verbalized studying and elaborative interrogation. We used a quasi-experimental design, with student participants enrolled in an online introductory human anatomy course. The first treatment group completed regular teach-and-question study assignments virtually with a peer, and the second treatment group completed the same assignment independently. We found no differences in exam scores between treatments, even for students with high social anxiety; however, student attitudes about the social versus individual assignment did differ for specific types of students. Students who reported experiencing high social anxiety preferred completing the active learning exercise by themselves, and students with low scientific reasoning ability preferred the partnered assignment. This research has potential implications for online classrooms. For instance, our results indicate that students who study independently, or in isolation, may have learning outcomes similar to those of students who study with a peer as long as they study actively. Because we found no negative impact on examination results, it also could be that virtually partnered or independent teach-and-question assignments could be helpful for instructors teaching large online classes to ensure all students are getting individualized feedback and attention.

Predictors of compliance with COVID-19 related non-pharmaceutical interventions among university students in the United States.

The world is currently dealing with a devastating pandemic. Although growing COVID-19 case numbers, deaths, and hospitalizations are concerning, this spread is particularly alarming in the United States where polarizing opinions, changing policies, and misinformation abound. In particular, American college campuses have been a venue of rampant transmission, with concerning spillover into surrounding, more vulnerable, communities. We surveyed over 600 college students from across the United States and modeled predictors of compliance with non-pharmaceutical interventions. We identified concern with severity, constitutionalism, news exposure, and religiosity as significant positive correlates with compliance, and general trust in science as a significant negative correlate. To determine how applicable nationwide modeling might be to individual local campuses we also administered this same survey to nearly 600 students at two large universities in Utah County. In this population, concern with severity was the only significant positive correlate with compliance; Additionally, feelings of inconvenience were negatively correlated. The effects of feelings of inconvenience, and news exposure were significantly different between populations. These results suggest that we should focus our efforts on increasing knowledge about the pandemic's effects on our society and informing about constitutionality amongst college students. However, we also show that nationwide surveys and modeling are informative, but if campuses are to efficiently curb the spread of COVID-19 this coming semester, they would be best served to utilize data collected from their student populations as these might significantly differ from general consensus data.

Knowledge, Attitudes and Perceptions of COVID-19 Vaccination among Healthcare Workers of an Inner-City Hospital in New York.

Introduction: New York City is one of the areas most affected by the COVID-19 pandemic in the United States. Healthcare workers are among those at high risk of contracting the virus, and a vital source of information and trust in vaccines to the community. Methods: This study was conducted about attitudes towards COVID-19 vaccination among healthcare workers at a public hospital in New York City during the beginning of COVID-19 vaccination. 428 hospital employees responded. Results: Several factors were significantly associated with vaccine attitudes, including demographics such as gender (p = 0.002), age (p = 0.005), race (p < 0.001) and home location (p < 0.001), role within the hospital (p < 0.001), knowledge about the virus (p < 0.001) and confidence in and expectations about personal protective equipment and behaviors (p < 0.001). Structural equation modeling revealed that the most predictive factors were prior vaccine attitudes and concern with the speed of testing and approval of the vaccines (p < 0.001). Multivariate analysis reinforced these, while also identifying perceived personal risk as significant (p = 0.033). Conclusions: Several modifiable factors that reflect confidence in science, scientific knowledge, personal risk perception, experience and medical authority are correlated with vaccine attitudes, indicating that a holistic educational approach to improve trust in science is likely to be effective in long-term reduction in vaccine hesitancy.

Influences on Attitudes Regarding Potential COVID-19 Vaccination in the United States.

The COVID-19 pandemic continues to ravage the world, with the United States being highly affected. A vaccine provides the best hope for a permanent solution to controlling the pandemic. However, to be effective, a vaccine must be accepted and used by a large majority of the population. The aim of this study was to understand the attitudes towards and obstacles facing vaccination with a potential COVID-19 vaccine. To measure these attitudes a survey was administered to 316 respondents across the United States by a survey corporation. Structural equation modeling was used to analyze the relationships of several factors with attitudes toward potential COVID-19 vaccination. Prior vaccine usage and attitudes predicted attitudes towards COVID-19 vaccination. Assessment of the severity of COVID-19 for the United States was also predictive. Approximately 68% of all respondents were supportive of being vaccinated for COVID-19, but side effects, efficacy and length of testing remained concerns. Longer testing, increased efficacy and development in the United States were significantly associated with increased vaccine acceptance. Messages promoting COVID-19 vaccination should seek to alleviate the concerns of those who are already vaccine-hesitant. Messaging directed at the benefits of vaccination for the United States as a country would address the second predictive factor. Enough time should be taken to allay concerns about both short- and long-term side effects before a vaccine is released.

Ideas for supporting student-centered stem learning through remote labs: a response.

This paper is in response to the article entitled "Identifying potential types of guidance for supporting student inquiry when using virtual and remote labs in science: a literature review" by Zacharia et al. (2015). In their review, Zacharia et al. (2015) adopted de Jong and Lazondo's (2014) framework of five inquiry phases for online labs: orientation, conceptualization, investigation, conclusion, and discussion. Zacharia et al. reviewed the literature on Computer-supported Inquiry Learning (CoSIL), and identified best practices for each phase. They concluded, for example, that the orientation/conclusion/discussion phases received the least amount of guidance, while there were many more tools and strategies for providing guidance in the conceptualization/investigation phases. In this paper, we adopt the same inquiry framework as Zacharia et al. (2015) and report strategies that we learned from STEM faculty about how they supported and guided virtual student lab-based learning in these five phases during the recent COVID-19 shutdown. While Zacharia et al. identified tools and processes for enabling all five inquiry phases, add additional practical examples of faculty implementing these phases online as part of COVID-19 emergency remote teaching, and we provide insights for extending the 5-phase framework for future research.