Due to the COVID-19 pandemic, declared in March of 2020, there have been many lifestyle changes which have likely influenced tobacco smoking behavior. Such lifestyle changes include lockdowns, stay at home orders, reduction in social cues related to smoking, increased stress, and boredom among other things. This study utilized a cross-sectional survey which looked into these behaviors, primarily perceived risk to COVID-19, and determined if there is an association between perceived risk and education level/race. Education level is a proxy for income and material resources, therefore making it more likely that people with lower levels of education have fewer resources and higher perceived risk to negative effects of COVID-19. Additionally, people of color are often marginalized in the medical community along with being the target of heavy advertising by tobacco companies which have likely impacted risk to COVID-19 as well.

The COVID-19 pandemic has resulted in preventative measures and has led to extensive changes in lifestyle for the vast majority of the American population. As the pandemic progresses, a growing amount of evidence shows that minority groups, such as the Deaf community, are often disproportionately and uniquely affected. Deaf people are directly affected in their ability to personally socialize and continue with daily routines. More specifically, this can constitute their ability to meet new people, connect with friends/family, and to perform in their work or learning environment. It also may result in further mental health changes and an increased reliance on technology. The impact of COVID-19 on the Deaf community in clinical settings must also be considered. This includes changes in policies for in-person interpreters and a rise in telehealth. Often, these effects can be representative of the pre-existing low health literacy, frequency of miscommunication, poor treatment, and the inconvenience felt by Deaf people when trying to access healthcare. Ultimately, these effects on the Deaf community must be taken into account when attempting to create a full picture of the societal shift caused by COVID-19.

As much as SARS-CoV-2 has altered the way humans live since the beginning of 2020, this virus's deadly nature has required clinical testing to meet 2020's demands of higher throughput, higher accuracy and higher efficiency. Information technology has allowed institutions, like Arizona State University (ASU), to make strategic and operational changes to combat the SARS-CoV-2 pandemic. At ASU, information technology was one of the six facets identified in the ongoing review of the ASU Biodesign Clinical Testing Laboratory (ABCTL) among business, communications, management/training, law, and clinical analysis. The first chapter of this manuscript covers the background of clinical laboratory automation and details the automated laboratory workflow to perform ABCTL’s COVID-19 diagnostic testing. The second chapter discusses the usability and efficiency of key information technology systems of the ABCTL. The third chapter explains the role of quality control and data management within ABCTL’s use of information technology. The fourth chapter highlights the importance of data modeling and 10 best practices when responding to future public health emergencies.

As much as SARS-CoV-2 has altered the way humans live since the beginning of 2020, this virus's deadly nature has required clinical testing to meet 2020's demands of higher throughput, higher accuracy and higher efficiency. Information technology has allowed institutions, like Arizona State University (ASU), to make strategic and operational changes to combat the SARS-CoV-2 pandemic. At ASU, information technology was one of the six facets identified in the ongoing review of the ASU Biodesign Clinical Testing Laboratory (ABCTL) among business, communications, management/training, law, and clinical analysis. The first chapter of this manuscript covers the background of clinical laboratory automation and details the automated laboratory workflow to perform ABCTL’s COVID-19 diagnostic testing. The second chapter discusses the usability and efficiency of key information technology systems of the ABCTL. The third chapter explains the role of quality control and data management within ABCTL’s use of information technology. The fourth chapter highlights the importance of data modeling and 10 best practices when responding to future public health emergencies.

COVID-19 has drastically impacted the student learning experience this past year. Arizona State University nursing students have had to learn fundamental nursing education, clinical experience, and simulation skills virtually. Research has shown that the educational experience during the COVID-19 pandemic has caused psychological and emotional stress on students adjusting to new university protocols and virtual learning. Two Term 8 nursing students questioned how these changes affected nursing students who are in their final semester of nursing school. The Term 8 nursing cohort was invited to participate in an anonymous online survey to provide feedback about their learning experience and recommendations for program leadership. The qualitative data was analyzed through content analysis to underline themes that portrayed the nursing students’ learning experience. The following themes were illuminated: an overall negative impact on virtual learning experiences, self-developed efforts to promote success, the aversion of using an online learning platform, and the desire for academic accommodation and faculty support during this time. Student recommendations for program leadership include requesting more hands-on experience when possible along with increased faculty lenience and understanding with course workload. Students had the opportunity to participate in a study where feedback is taken seriously and will be supplied to leadership to make changes to the ongoing academic dilemmas during the pandemic.

COVID-19 has drastically impacted the student learning experience this past year. Arizona State University nursing students have had to learn fundamental nursing education, clinical experience, and simulation skills virtually. Research has shown that the educational experience during the COVID-19 pandemic has caused psychological and emotional stress on students adjusting to new university protocols and virtual learning. Two Term 8 nursing students questioned how these changes affected nursing students who are in their final semester of nursing school. The Term 8 nursing cohort was invited to participate in an anonymous online survey to provide feedback about their learning experience and recommendations for program leadership. The qualitative data was analyzed through content analysis to underline themes that portrayed the nursing students’ learning experience. The following themes were illuminated: an overall negative impact on virtual learning experiences, self-developed efforts to promote success, the aversion of using an online learning platform, and the desire for academic accommodation and faculty support during this time. Student recommendations for program leadership include requesting more hands-on experience when possible along with increased faculty lenience and understanding with course workload. Students had the opportunity to participate in a study where feedback is taken seriously and will be supplied to leadership to make changes to the ongoing academic dilemmas during the pandemic.

As much as SARS-CoV-2 has altered the way humans live since the beginning of 2020,<br/>this virus's deadly nature has required clinical testing to meet 2020's demands of higher<br/>throughput, higher accuracy and higher efficiency. Information technology has allowed<br/>institutions, like Arizona State University (ASU), to make strategic and operational changes to<br/>combat the SARS-CoV-2 pandemic. At ASU, information technology was one of the six facets<br/>identified in the ongoing review of the ASU Biodesign Clinical Testing Laboratory (ABCTL)<br/>among business, communications, management/training, law, and clinical analysis. The first<br/>chapter of this manuscript covers the background of clinical laboratory automation and details<br/>the automated laboratory workflow to perform ABCTL’s COVID-19 diagnostic testing. The<br/>second chapter discusses the usability and efficiency of key information technology systems of<br/>the ABCTL. The third chapter explains the role of quality control and data management within<br/>ABCTL’s use of information technology. The fourth chapter highlights the importance of data<br/>modeling and 10 best practices when responding to future public health emergencies.

Objective: This study looked at three key variables of fear of COVID-19, preventative behaviors, and vaccination intent among college students in the United Sates. In addition, the three key variables were compared between genders, age groups, race groups, and over time to see if there were any significant findings. <br/>Method: This longitudinal study consisted of two anonymous online surveys administered on REDCap before and after a COVID-19 vaccine became available. <br/>Results: The findings suggested positive correlations between students’ fear of COVID-19 and their preventative behaviors with the passing of time. Hispanic/Latino participants had significantly higher fear of COVID-19 scores compared to Non-Hispanic Whites and other races at Wave I and II. Participants between 25 and 30 years old had a marginally greater difference fear of COVID-19 score compared to those less than 25. Females had significantly higher mean preventative behavior score than males at Wave II. There was a significant association between race/ethnicity groups and vaccination intent. <br/>Conclusion: Knowing why different groups do not engage in recommended preventative behaviors or receive vaccinations can tell us more about what tailored interventions may need to be developed and implemented to promote health and wellbeing in this population. Further research needs to be done regarding race, gender, and age and how these different groups of college students are responding to COVID-19 and why.

In a healthcare system already struggling with burnout among its professionals, the COVID-19 pandemic presented a barrage of personal and occupational strife to US healthcare workers. Structural and everyday discrimination contributed to the health inequities of people of color in the US, exacerbated by COVID-19-related racism and xenophobia. There is little research regarding the effects of COVID-19 and related and/or concurring discrimination upon minority nursing staff, despite their importance in supporting the diverse American patient population with culturally competent, tireless care amid the pandemic. This cross-sectional survey study aimed to examine 1) the relationships between discrimination, social support, resilience, and quality of life among minority nursing staff in the US during COVID-19, and 2) the differences of discrimination, social support resilience, and quality of life among minority nursing staff between different racial/ethnic groups during COVID-19. The sample (n = 514) included Black/African American (n = 161, 31.4%), Latinx/Hispanic (n = 131, 25.5%), Asian (n = 87, 17%), Native American/Alaskan Native (n = 69, 13.5%), and Pacific Islander (n = 65, 12.7%) nursing staff from 47 US states. The multiple regression results showed that witnessing discrimination was associated with a lower quality of life score, while higher social support and resilience scores were associated with higher quality of life scores across all racial groups. Furthermore, while participants from all racial groups witnessed and experienced discrimination, Hispanic/Latinx nursing staff experienced discrimination most commonly, alongside having lowest quality of life and highest resilience scores. Native American/Alaskan Native nursing staff had similarly high discrimination and low quality of life, although low resilience scores. Our findings suggest that minority nursing staff who have higher COVID-19 morbidity and mortality rates (Hispanic/Latinx, Native American/Alaskan Native) were left more vulnerable to negative effects from discrimination. Hispanic/Latinx nursing staff reported a relatively higher resilience score than all other groups, potentially attributed to the positive effects of biculturality in the workplace, however, the low average quality of life score suggests a simultaneous erosion of well-being. Compared to all other groups, Native American and Alaskan Native nursing staff’s low resilience and quality of life scores suggest a potential compounding effect of historical trauma affecting their well-being, especially in contrast to Hispanic/Latinx nursing staff. This study has broader implications for research on the lasting effects of COVID-19 on minority healthcare workers’ and communities’ well-being, especially regarding Hispanic/Latinx and Native American/Alaskan Native nursing staff.

During the COVID-19 pandemic, increased burdens have been placed on the Arizona healthcare system, and its healthcare providers. Using a survey with a sample of N=308 prescribing providers and nurses in the Arizona healthcare system, the impact of COVID-19 on the wellbeing of healthcare providers was assessed. The survey used measures to evaluate for physical and emotional wellbeing, burnout, stressors associated with COVID-19, and work-life experiences, and found an overall negative impact on the wellbeing of healthcare workers during the COVID-19 pandemic with increased levels of reported stress and tiredness, concern for the health of family and loved ones, concern for the hardships of patients, lack of alignment between organizational priorities and personal values, and low levels of support and appreciation from socially and from leadership at work.