Pandemic Emergency Research Articles

Concurrent Mentions of Vaping and Alcohol on Twitter: Latent Dirichlet Analysis

Background Co-use of alcohol and e-cigarettes (often called vaping) has been linked with long-term health outcomes, including increased risk for substance use disorder. Co-use may have been exacerbated by the COVID-19 pandemic. Social networking sites may offer insights into current perspectives on polysubstance use. Objective The aims of this study were to investigate concurrent mentions of vaping and alcohol on Twitter (subsequently rebranded X) during a time of changing vaping regulations in the United States and the emergence of the COVID-19 pandemic. Methods Tweets including both vape- and alcohol-related terms posted between October 2019 and September 2020 were analyzed using latent Dirichlet allocation modeling. Distinct topics were identified and described. Results Three topics were identified across 6437 tweets: (1) flavors and flavor ban (n=3334, 51.8% of tweets), (2) co-use discourse (n=1119, 17.4%), and (3) availability and access regulation (n=1984, 30.8%). Co-use discussions often portrayed co-use as positive and prosocial. Tweets focused on regulation often used alcohol regulations for comparison. Some focused on the perceived overregulation of vaping (compared to alcohol), while others supported limiting youth access but not at the expense of adult access (eg, stronger age verification over product bans). Across topics, vaping was typically portrayed as less harmful than alcohol use. The benefits of flavors for adult smoking cessation were also discussed. The distribution of topics across time varied across both pre– and post–regulatory change and pre– and post–COVID-19 pandemic declaration periods, suggesting shifts in topic focus salience across time. Conclusions Co-use discussions on social media during this time of regulatory change and social upheaval typically portrayed both vaping and alcohol use in a positive light. It also included debates surrounding the differences in regulation of the 2 substances—particularly as it related to limiting youth access. Emergent themes from the analysis suggest that alcohol was perceived as more harmful but less regulated and more accessible to underage youth than vaping products. Frequent discussions and comparisons of the 2 substances as it relates to their regulation emphasize the still-evolving vaping policy landscape. Social media content analyses during times of change may help regulators and policy makers to better understand and respond to common concerns and potential misconceptions surrounding drug-related policies and accessibility.

An Improved Machine Learning Framework Considering Spatiotemporal Heterogeneity for Analyzing the Relationship Between Subway Station-Level Passenger Flow Resilience and Land Use-Related Built Environment

The COVID-19 pandemic and similar public health emergencies have significantly impacted global travel patterns. Analyzing the recovery characteristics of subway station-level passenger flow during the pandemic recovery phase can offer unique insights into public transportation operations and guide practical planning efforts. This pioneering study constructs a station-level passenger flow recovery resilience (PFRR) index during the rapid recovery phase using subway AFC system swipe data. Additionally, it develops an analytical framework based on a multiscale geographically weighted regression (MGWR) model, the improved gray wolf optimization with Levy flight (LGWO), and light gradient boosting machine (LightGBM) regression to analyze passenger flow resilience on weekdays and weekends in relation to land use-related built environment types. Finally, SHAP attribution analysis is used to study the nonlinear relationships between built environment variables and PFRR index. The results show significant spatial heterogeneity in the impact of commercial, recreational, and residential land, as well as POI (points of interest) of leisure and shopping on PFRR. On weekdays, the most relevant built environment variables for PFRR are POI of enterprises and shopping numbers. In contrast, the contribution of built environment variables affecting PFRR of weekend is more balanced, reflecting the recovery of non-essential travel on weekends. Most land use-related built environment variables exhibit nonlinear associations with PFRR values. The proposed analytical framework shows significant performance advantages over other baseline models. This study provides unique insights into subway passenger flow characteristics and surrounding land use-related development layouts under the impact of public health emergencies.

DISP-13. TELEHEALTH UTILIZATION IN NEURO-ONCOLOGY: EXPERIENCE AFTER THE COVID-19 PANDEMIC

Abstract BACKGROUND Central nervous system (CNS) tumors are frequently characterized by physical disabilities, and treatment is often associated with side effects, as well as financial toxicity and loss of income owing to disease-related neurological deficits. Treatment at centers with specialized neuro-oncology care is associated with an overall survival benefit. However, access to such centers can be limited for many patients. Telehealth services represent an option for improving access to specialized care. During the COVID-19 pandemic public health emergency (PHE), regulatory and reimbursement changes provided patients improved access to neuro-oncology by telehealth. METHODS We retrospectively analyzed our institutional utilization of telehealth visits in the neuro-oncology vs solid tumor oncology practice after the COVID-19 pandemic. RESULTS Between July 2020 and April 2021, telehealth represented 24.1% of all neuro-oncology visits compared to 13.3% for all solid tumor groups. Between May 2021 and April 2023, telehealth visits remained frequent in neuro-oncology compared to solid tumor groups (34.6% vs 15.2%). Utilization rates declined across the practice in the year following expiration of the COVID-19 PHE in May 2023, though remained high for neuro-oncology at 34.1% vs 15.2% for solid tumor groups. Overall, telehealth visit utilization for neuro-oncology has remained more than double that of the oncology practice as a whole. CONCLUSIONS The striking difference between telehealth visit utilization in neuro-oncology compared with general medical oncology indicates that patients with CNS tumors, and those that provide care for these patients, have come to depend on this mode of care delivery. Even after expiration of the COVID-19 PHE, telehealth use remains high in neuro-oncology at our institution. Prospective evaluation to determine the safety of and clinical outcomes associated with telehealth visits for individuals with CNS tumors are critically needed. Such data may promote regulatory and reimbursement reform enabling broader adoption, service sustainability, and improved access to specialized care.

CT pulmonary angiography in the inpatients: A 5-year retrospective view at the end of COVID-19 public health emergency

To retrospectively evaluate the trends in utilization and results of computed tomography pulmonary angiography (CTPA study) for detection of acute pulmonary embolism (PE) in the hospital inpatients during different phases of COVID-19 public health emergency. We conducted an Institutional Review Board (IRB)-approved retrospective review of CTPA studies for our hospital inpatients in the years from 2019 to 2023, ranging from the prepandemic year (2019) to the year coinciding with the end of public health declarations (2023). Collected characteristics included patient age, patient sex, and result of the study. The utilization of CTPA studies for inpatients was higher in 2020 to 2023, compared to 2019 (3.8% in 2023 compared to 2.4% in 2019, P < .001). The increase in utilization was also statistically significant in each group, when stratified by age and sex (OR = 1.46 for female, OR = 1.71 for male, OR = 1.93 for elderly, and OR = 1.29 for non-elderly inpatients in 2023, compared to 2019). The positivity rate of acute PE in the inpatients was overall higher in 2021, 2022, and 2023, compared to 2019 (for example, 18.5% in 2023 compared to 14.3% in 2019, P = .01). When stratified by age and sex, only the non-elderly patients continued to have a significantly higher rate of acute PE in 2023, compared to 2019 (OR = 1.39). While studies spanning longer time frames and involving multiple institutions are needed to understand and generalize this conclusion, we conclude that the utilization and positivity rates of CTPA studies in inpatients remains high at the end of the COVID-19 pandemic public health emergency.

Challenges of Alternative Teaching-Learning Faced by Indian Parents of People with Autism Spectrum Disorder During Pandemic Emergency.

The COVID-19 pandemic stretched between 2020 and 2021 and witnessed impactful changes in the education system inclusive of the special education sector. The special education sector selected online teaching-learning to continue the studies of their students with the help of the parents. The study aimed to find out the challenges faced by parents of people with autism enrolled in special schools who attended online classes along with their children and supported their teaching-learning. The mixed method study (sequential explanatory design) opted for quantitative phases followed by a qualitative phase for further in-depth exploration of the focus area. The quantitative phase consists of 100 participant parents and the qualitative phase consists of 15 participant parents recruited from phase one of the study through purposive sampling based on the inclusion and exclusion criteria. The data were collected via web forms and online interviews were recorded. The univariate analysis was used for the quantitative phase whereas thematic analysis was used for the qualitative phase. The parents had to manage office work, childcare, assisting in online classes, handling the psychological and behavioral issues of the child. Even challenges like learning new technology, managing additional expenses and personal stress were reported. The enormous efforts of the parents helped to overcome many of the challenges and achieve positive learning outcomes. Nevertheless, some recommendations like arrangement of parental workshops, increase in tech education and occasional hybrid mode of learning is suggested.

When does China go to war? Explaining China’s Covid19-driven perceived vulnerability in 2020

ABSTRACT This paper argues that China intruded at multiple points along the LAC in May 2020 to showcase strength amidst the COVID-19 pandemic which is believed to have originated in Wuhan. COVID-19 led to large scale deaths and a global economic meltdown with Beijing severely criticized for the emergence of COVID-19 pandemic, poor regulation of the animal markets, suppressing information and failure to prevent the spread of COVID-19 beyond China’s borders. This caused immense damage to China’s international reputation and status, its economy, and relations with other countries. Border incursions by China in May 2020 were a guise to highlight China’s strength lest India consider China in a weakened state and gain leverage over Beijing in the bilateral relationship. Through border incursions, Beijing wanted to mask its vulnerability created by COVID-19 and showcase its willingness to not compromise over its security interests. China is both powerful and insecure about its status. This combination makes it undertake a particularly pessimistic security-centric outlook and more likely to engage in risky behavior. Like in the previous instances, the use of military force against India in the year 2020 stemmed from a sense of vulnerability caused by loss of status due to Covid19.

Amended WHO International Health Regulations for better global pandemic governance?

Recent amendments to the International Health Regulations (IHR), adopted at the 77th World Health Assembly in May 2024, represent an important conceptual development in the field of global pandemic governance. The regulations now include the notion of a pandemic emergency, a heightened subcategory of the public health emergency of international concern, which necessitates rapid, equitable, and enhanced coordinated international action to counteract global pandemics. In addition, changes to the guiding principles expressly require that the implementation process ‘shall promote equity and solidarity’. This is further crystallised in concrete commitments to enable equitable access to health products and provide for the mobilisation of financial resources for developing countries. Taking lessons from the COVID-19 pandemic, these changes make the IHR a more effective tool against global pandemics and represent significant steps towards achieving global health justice.

Online exams in higher education: A possible solution to avoid unnecessary car trips

Distance learning represents a form of remote participation, resulting in avoidance of commuting trips. After the end of the pandemic emergency, the progressive return to in-person exams is expected to generate a significant volume of car trips, especially for those telematic universities that in the last few years have experienced an impressive growth in students’ enrolment. This research presents the case study from Universitas Mercatorum, the University of the Italian Chambers of Commerce. Through a survey-based methodology, this study aims at estimating the students’ travel demand to take exams in case of full return to traditional in-person format. Following a Well-to-Wheel approach, this study also performs a transport-related greenhouse gas (GHG) emissions assessment. Results show that car is the most used mode (51 %), and a total amount of about 40 million vehicle-kilometres travelled per year is expected. This translates into about 9 thousand tonnes of CO2eq emissions per year. However, the stated preference experiment highlights that 37 % of motorized private transport users (cars and motorbikes) might shift to rail and 37 % of car users are willing to carpool.

THE IMPACT OF THE COVID-19 PANDEMIC ON FORMING NEW RELATIONSHIPS: IMPLICATIONS FOR EMOTIONAL INTELLIGENCE, THEORY OF MIND, EMPATHY AND SOCIAL MEDIA

As a fallout of the emergence of the COVID-19 pandemic, the whole world was put into isolation. During this period, social media saw a record influx of users who used the technology to stay connected. However, the long-lasting effects of the pandemic on interpersonal relationships and mental health remain a burning topic. Thus, the study aims to examine how the pandemic affected our ability to build new interpersonal relationships in connection to aspects of emotional intelligence such as empathy and Theory of Mind (ToM). Furthermore, the study also examines how the use of social media for communication changed after the pandemic. In total, N = 464 subjects (Age: M = 27.07; 47%, F = 25,9; 53%) participated in the study. Empathy, ToM, social media use for communication before and after the pandemic, and the ability to form new relationships before and after the pandemic were assessed. A compelling finding of the study indicates a statistically significant positive relationship between empathy and the ability to form new relationships before and after the pandemic, suggesting that empathy outweighs both emotional intelligence and social media usage in building new relationships. However, no significant relation was found between ToM and the ability to form new relationships before and after the pandemic. Lastly, no relation was found between ToM, empathy, and the use of social media for communication before and after the pandemic. Future studies should examine how the pandemic may have affected other facets of relationship formation and social interaction dynamics in connection with other aspects of emotional intelligence that have not been covered.

DAB-LSTMNN: A novel respiratory disease diagnosis deep CNN framework based on attention scheme and BLSTM neural networks

Respiratory diseases have a significant impact on modern society, posing considerable public health risks. With the emergence of the COVID-19 pandemic, addressing respiratory issues has become increasingly urgent and important. Recently, artificial intelligence-based methods utilizing the acoustic recordings of suspected patients have shown promise in the diagnosis of various respiratory diseases, enabling localized treatment and containment of their spread. As the existing methods cannot efficiently extract subtle differences between the sound samples, thereby limiting their generalization ability. To improve the diagnosis accuracy, this paper proposes a novel multi-channel, multi-modal deep learning architecture based on the attention mechanism. The proposed framework combines a deep convolutional neural network (DCNN) with a bidirectional long short-term memory (BLSTM) network, and also utilizes the attention scheme to extract temporal and spectral features from different modalities of speech data (e.g. coughs, counting sounds and sustained vowel articulation). The proposed method effectively classifies COVID-19 patients, asthma patients and healthy individuals, with a test accuracy of 89.27 ± 0.1%, and an F1 score of 85.42 ± 0.2%. The experimental results validate the feasibility of our method, and also indicate that it is competitive with the existing deep networks.

Health literacy and COVID-19 pandemic impacts among adults in rural northern Arizona.

Limited health literacy - the ability to access, process, and use health information and services - contributes to persistent health inequities. Yet little is known about associations of limited health literacy with impacts from the COVID-19 pandemic, particularly for US adults in rural areas. This study sought to determine associations of limited health literacy with impacts from the COVID-19 pandemic among a diverse sample of adults in rural Northern Arizona. A cross-sectional, interviewer-administered survey was conducted with 119 adults from June 2020 to August 2021. Participants were recruited from two federally qualified health centers and by word of mouth. The Newest Vital Sign was used to measure health literacy, and the Epidemic-Pandemic Impacts Inventory was used to measure the effects of the COVID-19 pandemic on various aspects of personal and family life (eg spent more time on screens and devices, had family celebrations canceled or restricted). Descriptive, bivariate, and multivariable linear regression statistics were computed. Nineteen percent of participants had limited health literacy, and participants had an average of 22 individual impacts and 2 household impacts of the 92 COVID-19 impacts assessed. Multivariable regression model results showed that being male versus female or having public only versus any private insurance was significantly associated with fewer individual COVID-19 impacts on average. Being black, Indigenous, people of color versus White or being Hispanic, Latino, or Spanish versus not were each associated with significantly more individual COVID-19 impacts on average. Limited versus adequate health literacy was significantly associated with more household COVID-19 impacts on average. Sensitivity analysis results further showed that limited versus adequate health literacy was associated with significantly higher adjusted rates of household social, emotional, and infection COVID-19 impacts. This study's findings highlight the importance of assessing and accounting for health literacy in clinical practice and health services research addressing the impacts of the COVID-19 pandemic and future emergency events.

Novel cost-effective method for forecasting COVID-19 and hospital occupancy using deep learning

The emergence of the COVID-19 pandemic in 2019 and its rapid global spread put healthcare systems around the world to the test. This crisis created an unprecedented level of stress in hospitals, exacerbating the already complex task of healthcare management. As a result, it led to a tragic increase in mortality rates and highlighted the urgent need for advanced predictive tools to support decision-making. To address these critical challenges, this research aims to develop and implement a predictive system capable of predicting pandemic evolution with accuracy (in terms of Mean Absolute error (MAE), Root Mean Square Error (RMSE), R2, and Mean Absolute Percentage Error (MAPE)) and low computational and economic cost. It uses a set of interconnected Long Short Term-memory (LSTM) with double bidirectional LSTM (BiLSTM) layers together with a novel preprocessing based on future time windows. This model accurately predicts COVID-19 cases and hospital occupancy over long periods of time using only 40% of the set to train. This results in a long-term prediction where each day we can query the cases for the next three days with very little data. The data utilized in this analysis were obtained from the “Hospital Insular” in Gran Canaria, Spain. These data describe the spread of the coronavirus disease (COVID-19) from its initial emergence in 2020 until March 29, 2022. The results show an improvement in MAE (< 161), RMSE (< 405), and MAPE (> 0.20) compared to other studies with similar conditions. This would be a powerful tool for the healthcare system, providing valuable information to decision-makers, allowing them to anticipate and strategize for possible scenarios, ultimately improving public health outcomes and optimizing the allocation of healthcare and economic resources.

The IHR Journey: Past Lessons and Future Directions

Abstract The International Health Regulations (IHR), established in 1969 and revised in 2005, represent a binding framework for 196 countries to combat global health threats. Historically, the IHR emerged in response to the need for a collective defence against the spread of infectious diseases. In the present, the IHR provides a legal structure for the World Health Organization (WHO) and its member states to report public health emergencies of international concern, ensuring a coordinated, prompt, and effective response. As we look towards the future, the IHR’s role is pivotal in addressing the complexities of global health security. The emergence of novel pathogens, the risk of bioterrorism, and the impact of climate change on disease patterns call for the evolution of the IHR. Such ammendments comprise: increasing clarity on multilevel jurisdiction; defining a pandemic emergency; introducing the concept of quarantine as a public health measure; stressing a compromise and solidarity approach between States Parties; reinforcing the need for bidirectional action between the WHO and States Parties; underlining cargo, as well as passengers, as relevant for public health measures; certificate digitalisation; among others. Strengthening the IHR is essential for a proactive approach to health policy, ensuring preparedness and resilience against any health crisis that may arise, although it remains in great controversy the right balance between the respect of national sovereignty and supranational impositions over national, democratically elected governments. Calling upon this reflection aims to bridge the gap felt in most WHO’s member states.

Survey on haptic technologies for virtual reality applications during COVID-19

&lt;p&gt;This paper presents a comprehensive survey on the advancements and applications of haptic technologies, which are methods that facilitate the sense of touch and movement, in virtual reality (VR) during the COVID-19 pandemic. It aims to identify and classify the various domains in which haptic technologies have been utilized or can be adapted to combat the unique challenges posed by the pandemic or public health emergencies in general. Existing reviews and surveys that concentrate on the applications of haptic technologies during the Covid-19 pandemic are often limited to specific domains; this survey strives to identify and consolidate all application domains discussed in the literature, including healthcare, medical training, education, social communication, and fashion and retail. Original research and review articles were collected from the Web of Science Core Collection as the main source, using a combination of keywords (like ‘haptic’, ‘haptics’, ‘touch interface’, ‘tactile’, ‘virtual reality’, ‘augmented reality’, 'Covid-19', and ‘pandemic’) and Boolean operators to refine the search and yield relevant results. The paper reviews various haptic devices and systems and discusses the technological advancements that have been made to offer more realistic and immersive VR experiences. It also addresses challenges in haptic technology in VR, including fidelity, ethical, and privacy considerations, and cost and accessibility issues.&lt;/p&gt;

Sustainable synthesis of MOF for COVID-19 detection using a 23 factorial design

The emergence of the COVID-19 pandemic has underscored the urgent requirement for rapid and accurate diagnostic methods to detect the virus and control its spread. Metal Organic Frameworks (MOFs) have gained significant interest in biosensing applications because of their exceptional properties. This study investigates the microwave synthesis of zeolitic imidazolate framework-8 (ZIF-8) and explores its potential as a fluorescent biosensor for detecting COVID-19 RNA sequences. The microwave method enables a rapid, eco-friendly, and efficient synthesis of ZIF-8. Characterization tests including PXRD, FE-SEM, TGA, and FT-IR confirmed the high crystallinity and thermal stability of ZIF-8. To optimize the biosensor’s performance, a 23 factorial design is pursued. The factorial design allows determining the individual and simultaneous effects of the control parameters such as ZIF-8 concentration, buffer pH, and solution temperature on the quenching efficiency. The results demonstrate that the parameters combination of 25 °C, pH 8.0, and 0.7 mg/mL ZIF-8 concentration results in the highest quenching percentage of 72.41 %. The study of the quenching mechanism confirms that the P-DNA can form electrostatic and π-π stacking interactions with ZIF-8, to produce a P-DNA@ZIF-8 complex. It is also found that photoinduced electron transfer is more dominant than fluorescence resonance energy transfer in the quenching mechanism. The biosensor showed a high sensitivity towards the target COVID-19 RNA with a very low detection limit of 12.02 pM, a fast detection time of 40 minutes, and high selectivity to the target RNA. This study shows the potential of ZIF-8 as a feasible and environmentally friendly material for swiftly and accurately detecting COVID-19 RNA sequences.

Well-Being and Tourism: A Systematic Literature Review

In recent decades, the concept of well-being has often been the subject of psychological studies. The current study examines how tourism relates to well-being from the perspective of tourists/visitors, through the study of the older and more recent literature. Especially when it comes to the complex and multifaceted issue of well-being, in relation to the also complex and sensitive sectors of tourism, the specificity of this relationship is reflected in the evidence and the growing number of articles published in mainstream and reliable journals. By using the PRISMA framework, this article compares and evaluates published papers on the study of well-being and tourist behavior to guide and direct future research. It has been found that the relationship between well-being and tourism, especially after the emergence of the COVID-19 pandemic, has been significantly strengthened. This study highlights the need to adopt a holistic approach that considers all the connections between well-being and tourism.

Firearms, families, and financial distress: Economic instability and increased gun desire

AbstractThe United States is a global leader in estimated rates of civilian gun ownership, and over the past few years—as the country grappled with a struggling economy exacerbated by a global pandemic—gun‐buying surged. We argue that the COVID‐19 pandemic's economic impact has implications for gun purchasing interest, and this intersects with gendered expectations about familial roles. Integrating sociological scholarship on gender and families with consumer behavior research, and using a preregistered online survey of over 8000 American adults collected in the early months of the pandemic's emergence in the United States (May 2020–June 2020), we hypothesize that men in familial roles may express greater gun interest in response to financial instability, and theorize why such a process may also be observed among women. Analyses show that men's gun interest is unaffected by family roles or financial distress. Women in family roles—mothers, in particular—who experience financial stress, however, are significantly more amenable toward guns than other women and express interest at levels approaching those of men. We discuss how such findings increase our understanding of the heterogeneity of gun owners.

Digital transformation and resilience in family business: an exploratory study of generational dynamics

PurposeThe paper aims to contribute to the advancement of the debate on digital innovation and entrepreneurship from a cross-generational perspective in the context of family businesses. Specifically, the paper explores the contribution provided by the young generations of entrepreneurs to the digital transformation and resilience of family businesses during the pandemic emergence of COVID-19. Focusing on the need for a major understanding of digital resilience in the context of family businesses and small and medium-sized enterprises, the paper aims to provide theoretical and empirical contributions in replying to the following research question: How did young entrepreneurs contribute to the resilience and the digital transformation of their family businesses during COVID-19?Design/methodology/approachThe methodology consisted of a two-stage qualitative investigation including a focus group managed in presence with the involvement of 24 young entrepreneurs and a self-administered online survey involving the family businesses belonging to the Association of Young Entrepreneurs of Confindustria Puglia (South Italy) that has allowed to collect 47 replies, with a 32% response rate.FindingsThe paper presents evidence about the resilience of family businesses during the COVID-19 supported by the disruptive role of emerging digital technologies. Our analysis demonstrates that young entrepreneurs adopted different patterns of digital transformations, depending on the firm’s industry and the family firm’s digital maturity. Digital resilience in the context of the observed family businesses produced different benefits in terms of competitiveness, effectiveness of decision-making, visibility and communication and new opportunities for value creation; it occurred in several business areas, including production, logistics, sales and human resources management.Practical implicationsThe study highlights the relevant role that younger generations can play in exploring innovation opportunities associated with digitalisation as well as in contributing to reinforce innovation and resilience capability of their family businesses through collaboration with external stakeholders and ecosystems.Originality/valueThe value of the research consists in the attempt to analyse the meaning and implication of digital innovation in the context of family business as a driver for their resilience capability. The Family Businesses Digital Readiness and Young Entrepreneurs Contributions Matrix presented into the study as an original contribution of synthesis of the evidence collected.

COVID-19 and University Students' Well-Being: An Ecological and Multidimensional Perspective on Post-Pandemic Effects.

In February 2020, the Italian government started to adopt measures to contain the spread of COVID-19. This emergency had a strong impact on people's lives and daily activities, negatively affecting their well-being. One of the groups of people that suffered the most from the pandemic emergency and the related isolation was university students. Based on these considerations, this article analyzes the effects of COVID-19 on Italian students' well-being during three periods: the first lockdown (March-April 2020), one year later (March-April 2021), and two years after the lockdowns (March-April 2022). Three samples comprising a total of 765 participants (M = 21 years, SD = 2.87) completed an online self-report questionnaire, which included the I COPPE scale (its short form), a tool that measures the perception of present and future well-being, both as an overall evaluation and its six specific domains: interpersonal, community, occupational, physical, psychological, and economic. The results indicated a general trend in the well-being levels of university students from the beginning of the pandemic to 2022. Compared to 2020, in 2021, there was a sharp decline in well-being, whereas in 2022, there was an increase in well-being levels. Practical implications, limitations, and future recommendations arising from the present study are extensively discussed.

High-Throughput Synthesis and Evaluation of Antiviral Copolymers for Enveloped Respiratory Viruses.

COVID-19 made apparent the devastating impact viral pandemics have had on global health and order. Development of broad-spectrum antivirals to provide early protection upon the inevitable emergence of new viral pandemics is critical. In this work, antiviral polymers are discovered using a combination of high-throughput polymer synthesis and antiviral screening, enabling diverse polymer compositions to be explored. Amphipathic polymers, with ionizable tertiary amine groups, are the most potent antivirals, effective against influenza virus and SARS-CoV-2, with minimal cytotoxicity. It is hypothesized that these polymers interact with the viral membrane as they showed no activity against a nonenveloped virus (rhinovirus). The switchable chemistry of the polymers during endosomal acidification was evaluated using lipid monolayers, indicating that a complex synergy between hydrophobicity and ionization drives polymer-membrane interactions. This new high-throughput methodology can be adapted to continue to engineer the potency of the lead candidates or develop antiviral polymers against other emerging viral classes.