Abstract: In, this research embodies the spirit of interdisciplinary collaboration, bringing together data science, healthcare, and public health to address one of the most significant global health challenges in recent history. The achievements of this study underscore the potential of advanced machine learning techniques to enhance our understanding of the pandemic and guide effective decision-making. As we navigate the ongoing battle against COVID-19 and prepare for future health emergencies, the lessons learned from this research serve as a testament to (...) the power of data-driven insights and the unwavering commitment of the global scientific community in the face of adversity. (shrink)

Abstract: The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, necessitating accurate and timely forecasting of cases for effective mitigation strategies. In this research paper, we present a novel approach to predict COVID-19 cases using Artificial Neural Networks (ANNs), harnessing the power of machine learning for epidemiological forecasting. Our ANNs-based forecasting model has demonstrated remarkable efficacy, achieving an impressive accuracy rate of 97.87%. This achievement underscores the potential of ANNs in providing precise and data-driven insights into (...) the dynamics of the pandemic. However, this paper underscores the critical importance of a comprehensive evaluation beyond accuracy, including metrics such as sensitivity, specificity, and the area under the ROC curve (AUC-ROC), to assess the model's performance robustness. The research paper offers detailed insights into the architecture of the ANN model, encompassing critical hyperparameters, data preprocessing techniques, and regularization strategies employed to optimize model accuracy. Ethical considerations surrounding data privacy and potential biases within the COVID-19 dataset are also addressed. While the achieved accuracy is a significant milestone, this study underscores the dynamic and evolving nature of the pandemic, necessitating continuous model refinement and validation. Furthermore, it emphasizes the importance of considering false positives and false negatives in the context of public health decision-making. In conclusion, this research contributes to the arsenal of tools available for pandemic management by showcasing the potential of ANNs in COVID-19 case forecasting. It encourages ongoing exploration and adaptation of predictive models to enhance their applicability in real-world public health scenarios, ultimately contributing to more effective pandemic control and response efforts. (shrink)

Abstract: The emergence of the novel coronavirus (COVID-19) in 2019 has presented the world with an unprecedented global health crisis. The rapid and widespread transmission of the virus has strained healthcare systems, disrupted economies, and challenged societies. In response to this monumental challenge, the intersection of technology and healthcare has become a focal point for innovation. This research endeavors to leverage the capabilities of Artificial Neural Networks (ANNs) to develop an advanced predictive model for forecasting the spread of (...) class='Hi'>COVID-19. It involves the collection, analysis, and integration of diverse datasets encompassing epidemiological, clinical, and social factors that influence the virus's dissemination. (shrink)

The Korea National Health and Nutrition Examination Survey (2020) reported that the prevalence of obesity (≥19 years old) was 31.4% in 2011, but it increased to 33.8% in 2019 and 38.3% in 2020, which confirmed that it increased rapidly after the outbreak of COVID-19. Obesity increases not only the risk of infection with COVID-19 but also severity and fatality rate after being infected with COVID-19 compared to people with normal weight or underweight. Therefore, identifying the difference in (...) potential factors for obesity before and after the pandemic is an important issue in health science. This study identified the keywords and topics that were formed before and after the COVID-19 pandemic in the South Korean society and how they had been changing by conducting a web crawling of South Korea's news big data using “obesity” as a keyword. (shrink)

Well before the COVID-19 pandemic, proponents of digital psychiatry were touting the promise of various digital tools and techniques to revolutionize mental healthcare. As social distancing and its knock-on effects have strained existing mental health infrastructures, calls have grown louder for implementing various digital mental health solutions at scale. Decisions made today will shape the future of mental healthcare for the foreseeable future. We argue that bioethicists are uniquely positioned to cut through the hype surrounding digital mental health, which (...) can obscure crucial ethical and epistemic gaps that ought to be considered by policymakers before committing to a digital psychiatric future. Here, we describe four such gaps: The evidence gap, the inequality gap, the prediction-intervention gap, and the safety gap. (shrink)

Objective: The study was conducted to determine predictive effect of anxiety and burnout levels related to the COVID-19 Pandemic and organizational commitment on their ıntention to leave the organization of the healthcare professionals. -/- Methods: The sample of study consisted of 251 healthcare professionals who actively worked during the pandemic process. Data were collected by applying the "Coronavirus Anxiety Scale", "COVID-19 Burnout Scale", "Organizational Commitment Scale", and "Intention to Leave the Organization Scale". The data was analysed in the (...) SPSS 22 package program. -/- Results: 66.5% of all participants worked in the pandemic units during the pandemic process, 57.4% of them had COVID-19, 75.3% of them had COVID-19 vaccine, and 32.3% of them lost a relative due to COVID-19. 42.2% of the healthcare professionals had dysfunctional anxiety and they experienced a very high level of burnout, their continuance commitment, which is one of the subscales of organizational commitment, was high, their affective and normative commitment was moderate, and their intention to leave the organization was moderate. The anxiety level of healthcare professionals explained 7.7% of the change in their intention to leave the organization. The anxiety (p<0.05) and burnout levels (p>0.05) together explained 8.5% o the change in intention to leave the organization. The Anxiety and burnout levels and organizational commitment levels together explained 25.9% of the change in intention to leave the organization (p˂0.05). -/- Conclusions: The anxiety levels and the levels of affective organizational commitment of healthcare professionals during the pandemic process are significant predictors of intention to leave the organization. (shrink)

The main aim of this article is to reflect on the impact of biases related to artificial intelligence (AI) systems developed to tackle issues arising from the COVID-19 pandemic, with special focus on those developed for triage and risk prediction. A secondary aim is to review assessment tools that have been developed to prevent biases in AI systems. In addition, we provide a conceptual clarification for some terms related to biases in this particular context. We focus mainly on (...) nonracial biases that may be less considered when addressing biases in AI systems in the existing literature. In the manuscript, we found that the existence of bias in AI systems used for COVID-19 can result in algorithmic justice and that the legal frameworks and strategies developed to prevent the apparition of bias have failed to adequately consider social determinants of health. Finally, we make some recommendations on how to include more diverse professional profiles in order to develop AI systems that increase the epistemic diversity needed to tackle AI biases during the COVID-19 pandemic and beyond. (shrink)

The Coronavirus disease (COVID-19) has spread to almost all provinces in Indonesia, including South Sumatra. Epidemiological models are required to provide evidence for public health policymakers to mitigate the virus. The aim of this study is: 1) to create a prediction model for COVID-19 cases in South Sumatra to help inform about public health policy and 2) to reflect on women’s experiences to provide solutions for mitigating the impact of COVID-19. This study uses quantitative and qualitative (...) methods. A quantitative modeling approach called Susceptible–Infected–Recovered (SIR) model is used to predict COVID-19 cases in South Sumatra. The assumption used is that every four days, a doubling of COVID-19 cases is observed, with an average of 15 days for recovery. The sources of data are reports from the South Sumatra Provincial Government and the Ministry of Health of the Republic of Indonesia (MOH RI). Qualitative data are obtained through a feminist participatory action research project, which is focused on children’s experiences of COVID-19. Reflective analysis is conducted to develop insights into how to empower women with respect to mitigating COVID-19. Results show that COVID-19 cases in South Sumatra are still underreported, with only 5%–10% of the total estimated COVID-19 cases being reported. Modeling indicates that over 1,000 people had COVID-19 by the end of April, reaching over 150,000 by the end of May, and over a third of South Sumatra’s population is likely to be infected by the end of June. Multiple interventions are needed to reduce cases and flatten the curve. Women are key to flattening this curve and must be empowered to undertake actions from a familial base. (shrink)

: COVID-19 has proliferated over the earth, exposing mankind at risk. The assets of the world's most powerful economies are at stake due to the disease's high infectivity and contagiousness. The capacity of machine learning algorithms can estimate the amount of future COVID-19 cases, which is now considered a possible threat to civilization. Five conventional measuring models, notably LR, LASSO, SVM, ES, and LSTM, were utilised in this work to examine COVID-19's undermining variables. Each model contains three (...) sorts of expectations: the number of newly contaminated cases, the number of passings, and the number of recoveries. However, it is hard to anticipate the patients' real outcomes. To address the issue, a suggested approach based on long transient memory (LSTM) forecasts the number of COVID-19 cases in the next 10 days as well as the impact of preventative measures such as social isolation and lockdown on COVID-19 spread. (shrink)

The present study aimed to understand how status-oriented individual differences such as narcissistic antagonism, narcissistic extraversion, and moral grandstanding motivations may have longitudinally predicted both behavioral and social media responses during the early stages of the COVID-19 pandemic. Via YouGov, a nationally representative sample of U.S. adults was recruited in August of 2019 (N = 2,519; Mage = 47.5, SD = 17.8; 51.4% women) and resampled in May of 2020, (N = 1,533). Results indicated that baseline levels of narcissistic (...) antagonism were associated with lower levels of social distancing and lower compliance with public health recommended behaviors. Similarly, dominance oriented moral grandstanding motivations predicted greater conflict with others over COVID-19, greater engagement in status-oriented social media behaviors about COVID-19, and lower levels of social distancing. (shrink)

This paper is a preliminary step towards the assessment of an alarming widespread belief that victims of the novel coronavirus SARS-CoV-2 include the quality and accuracy of scientific publications about it. Our initial results suggest that this belief cannot be readily ignored, denied, dismissed or refuted, since some genuine supporting evidence can be forwarded for it. This evidence includes an obvious increase in retractions of papers published about the COVID-19 pandemic plus an extra-ordinary phenomenon of inconsistency that we report (...) herein. In fact, we provide a novel method for validating any purported set of the four most prominent indicators of diagnostic testing (Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value), by observing that these indicators constitute three rather than four independent quantities. This observation has virtually been unheard of in the open medical literature, and hence researchers have not taken it into consideration. We define two functions, which serve as consistency criteria, since each of them checks consistency for any set of four numerical values (naturally belonging to the interval [0.0,1.0]) claimed to be the four basic diagnostic indicators. Most of the data we came across in various international journals met our criteria for consistency, but in a few cases, there were obvious unexplained blunders. We explored the same consistency problem for some diagnostic data published in 2020 concerning the ongoing COVID-19 pandemic and observed that the afore-mentioned unexplained blunders tended to be on the rise. A systematic extensive statistical assessment of this presumed tendency is warranted. (shrink)

Global processes significantly affect the mobility of the population. In the context of geopolitical transformation, globalization and quarantine restrictions of Covid-19, it is important to predict the development of the migration movement of countries that are developing. Therefore, the article is aimed at modelling migration changes according to alternative scenarios using the example of Ukraine. The theoretical and methodological basis of the research is formed by a number of scientific works of leading scientists from different countries, statistical information on (...) migration processes and socio-economic indicators of Ukraine’s development, economic, mathematical and scenario methods. In the course of the study, the main factors were identified that more affect the migration processes of Ukraine, taking into account the trends in the impact of Covid-19 on them. These include population size, life expectancy, GDP per capita, average monthly wages, and the volume of remittances from individuals to Ukraine. With the help of correlation-regression analysis, a multivariate econometric model of migration growth (reduction) has been built. This made it possible to study the absolute and relative influence of factors on the magnitude of the migration increase (decrease), determine the potential reserves for its increase (decrease), evaluate them using a comparative analysis and carry out predictive calculations of the volume of migration increase (decrease) in Ukraine. (shrink)

Introduction: During the COVID-19 pandemic, adolescents have increasingly suffered from online problem behaviors and mental disorders. But little research has paid attention to the protective factors among adolescents. Therefore, the present study attempted to investigate the role of positive youth development (PYD) attributes in adolescents’ depression, internet gaming disorder (IGD) and cyberbullying/victimization (CBV). -/- Methods: A total of 995 Chinese adolescents (Mage = 15.97 years, SD = 0.77, 325 boys) from two public high schools in Hubei province were recruited (...) to participate in the three-wave longitudinal study over the span of 1 year during the pandemic (Time 1: November, 2020; Time 2: May, 2021; Time 3: November, 2021). -/- Results: T1 PYD attributes negatively predicted T2 depression and T3 online problematic behaviors. T2 depression positively predicted IGD at T3. T3 IGD significantly predicted greater involvement in T3 CBV, and vice versa. Moreover, depression and one online problem behavior mediated the relationships between PYD attributes and the other online problem behavior, separately and sequentially. (shrink)

Models not only represent but may also influence their targets in important ways. While models’ abilities to influence outcomes has been studied in the context of economic models, often under the label ‘performativity’, we argue that this phenomenon also pertains to epidemiological models, such as those used for forecasting the trajectory of the Covid-19 pandemic. After identifying three ways in which a model by the Covid-19 Response Team at Imperial College London may have influenced scientific advice, policy, and (...) individual responses, we consider the implications of epidemiological models’ performative capacities. We argue, first, that performativity may impair models’ ability to successfully predict the course of an epidemic; but second, that it may provide an additional sense in which these models can be successful, namely by changing the course of an epidemic. (shrink)

Along with easing COVID-19 restrictions, schools are reopening and starting face-to-face classes. Intending in-person instruction after a relatively long period after off-campus and online learning requires exploration. This study determined the factors that predict students’ intention to attend in-person instruction among graduate students. The responses of 178 college of education graduate students were gathered electronically using valid and reliable survey instruments. Findings showed that graduate students are moderately to highly satisfied with online learning but also highly intend to attend (...) in-person instruction. The majority of graduate students think that it is unsafe and possible to spread COVID-19, and felt worried to less worried when school reopens. Multiple regression revealed that work status, perceived safety and worry about school reopening, and online learning satisfaction predicted intention to attend in-person instruction. School administrators should ensure the safety operation of schools should students return to campuses, especially when there are threats to their health and security. (shrink)

The COVID-19 pandemic has made it especially visible that mortality data are a key component of epidemiological models, being a single indicator that provides information about various health aspects, such as disease prevalence and effectiveness of interventions, and thus enabling predictions on many fronts. In this paper we illustrate the interrelation between facts and values in death statistics, by analyzing the rules for death certification issued by the World Health Organization. We show how the notion of the underlying cause (...) of death can change in view of public health goals. This brings us to a general point about how non-epistemic factors, such as values and goals, are reflected in the choice of different measures in epidemiological models. We finally argue that this analysis is not only relevant from a theoretical point of view but also has important practical consequences. (shrink)

COVID-19 often manifests with different outcomes in different patients, highlighting the complexity of the host-pathogen interactions involved in manifestations of the disease at the molecular and cellular levels. In this paper, we propose a set of postulates and a framework for systematically understanding complex molecular host-pathogen interaction networks. Specifically, we first propose four host-pathogen interaction (HPI) postulates as the basis for understanding molecular and cellular host-pathogen interactions and their relations to disease outcomes. These four postulates cover the evolutionary dispositions (...) involved in HPIs, the dynamic nature of HPI outcomes, roles that HPI components may occupy leading to such outcomes, and HPI checkpoints that are critical for specific disease outcomes. Based on these postulates, an HPI Postulate and Ontology (HPIPO) framework is proposed to apply interoperable ontologies to systematically model and represent various granular details and knowledge within the scope of the HPI postulates, in a way that will support AI-ready data standardization, sharing, integration, and analysis. As a demonstration, the HPI postulates and the HPIPO framework were applied to study COVID-19 with the Coronavirus Infectious Disease Ontology (CIDO), leading to a novel approach to rational design of drug/vaccine cocktails aimed at interrupting processes occurring at critical host-coronavirus interaction checkpoints. Furthermore, the host-coronavirus protein-protein interactions (PPIs) relevant to COVID-19 were predicted and evaluated based on prior knowledge of curated PPIs and domain-domain interactions, and how such studies can be further explored with the HPI postulates and the HPIPO framework is discussed. (shrink)

This book is my gift to Albert Einstein on the occasion of his 142nd birthday - and is also a gift to everybody in the world he helped to shape! -/- My book adopts the view that the universe is infinite and eternal - but scientifically created. This paradox of creating eternity depends on the advanced electronics developed by future humanity. Those humans will develop time travel, plus programs that use "imaginary" time and infinite numbers like pi. They'll also become (...) the El or Elohim (names used by various religions to mean "God" or "the gods"). As astronomer Carl Sagan wrote in "Pale Blue Dot", "Many religions teach that it is the goal of humans to become gods." (I think that Elohim would be termed supernatural today, though their infinite abilities are actually natural outcomes of progress.) -/- A look through the book will tell you that some ideas are frequently repeated. This is because each article is meant to be understood without reading the others … so the same ideas show up in more than one. I’ve tried to stay away from jargon and equations unless they’re necessary (I find that they often make a subject harder to understand, not easier). All objects and events on Earth, in space, and in time (including the inevitability of world peace and immortality) are just one thing – strings of electronics' binary digits 1 and 0. -/- -/- TABLE OF CONTENTS -/- CHAPTER 1 - HYPOTHESIS OF QUANTUM GRAVITY -/- CHAPTER 2 - THE PHYSICIST AND THE PHILOSOPHER -/- CHAPTER 3 - ATTENTION MEDICAL DOCTORS! PHYSICS THEORY IMPLIES ALL PATIENTS CAN BE NORMALISED USING GRAVITY -/- CHAPTER 4 - SETI, EVOLUTION, AND TIME -/- CHAPTER 5 - ANYONS - ONE KEY TO UNLOCK GRAVITATIONAL-ELECTROMAGNETIC UNION, THE TOPOLOGICAL UNIVERSE, SPACE-TIME TRAVEL, FUTURE COMPUTERS, DARK MATTER/DARK ENERGY -/- CHAPTER 6 - WHAT CAUSES THE PLANETS TO SPEED UP AND SLOW DOWN WHILE THEY ARE ORBITING THE SUN -/- CHAPTER 7 - A BRIEF OUTLINE OF THE POSSIBLE BASICS OF COSMOLOGY IN THE 22nd CENTURY, AND WHAT IT MEANS FOR RELIGION -/- CHAPTER 8 - THE WORLD'S REAL-LIFE EXPERIMENTS WITH COVID-19 AND PHYSICS ALTER SOCIETY AND GLOBAL ECONOMICS -/- CHAPTER 9 - UNITING TIME -/- CHAPTER 10 - EXTRACTING ENERGY FROM BLACK HOLES -/- CHAPTER 11 - TIME TREK: THE 25TH CENTURY'S ANSWER TO STAR TREK. (shrink)

La pandemia de la COVID-19 ha recordado la importancia de prevenir y planificarse ante eventos altamente desastrosos para la salud comunitaria. Varios fenómenos emergentes suponen amenazas prospectivas para la Salud Pública. Sin embargo, el carácter mayormente futuro de problemas como la resistencia antibiótica, el impacto del cambio climático en la salud o la bioingeniería de patógenos genera dificultades de análisis. ¿Cuáles son los desafíos éticos y epistemológicos que suscitan los problemas futuros para la Salud Pública? ¿Cómo deben abordarse los (...) problemas morales de escenarios futuros, potencialmente catastróficos? En este artículo se defiende la necesidad de adoptar enfoques éticos anticipativos desde la ética de la Salud Pública. En primer lugar, se argumentará que el abordaje de estos problemas futuros requiere reflexionar sobre el futuro como problema ético y epistémico. En segundo lugar, se analizarán las características de la incipiente ética anticipatoria en los ámbitos de la ética de la tecnología y la bioética. En tercer lugar, se defenderá la aplicación de metodologías de previsión y anticipación en debates sobre la ética de la Salud Pública. Finalmente, se ofrecerán algunas reflexiones para fortalecer los análisis normativos anticipativos a fin de prevenir y atajar de antemano los efectos adversos de las futuras crisis sanitarias. (shrink)

COVID-19 began in China in December 2019. As of January 2021, over a hundred million instances had been reported worldwide, leaving a deep socio-economic impact globally. Current investigation studies determined that artificial intelligence (AI) can play a key role in reducing the effect of the virus spread. The prediction of COVID-19 incidence in different countries and territories is important because it serves as a guide for governments, healthcare providers, and the general public in developing management strategies to (...) battle the disease. The prediction proved beneficial in the early months of 2020 to alert nations and territories in danger of an outbreak, allowing them to take preventative measures. Despite the fact that the COVID-19 outbreak has expanded to practically every location on the planet, the prediction has value in terms of monitoring the intensity of the spread and recovery, as well as determining the likelihood of a sequel or tertiary epidemic. COVID-19, like influenza, could become a seasonal or recurring epidemic in the future. COVID-19 activity must so be predicted and monitored now and in the future. (shrink)

Since the outbreak of the Coronavirus disease 2019 (Covid-19), tremendous efforts have been made by scientists, health professionals, business people, politicians, and laypeople around the world. Covid-19 vaccines are one of the most crucial innovations that help fight against the virus. This paper attempts to revisit the Covid-19 vaccines production process by employing the serendipity-mindsponge-3D creativity management theory. Vaccine production can be considered an information process and classified into three main stages. The first stage involved the processes (...) of absorbing information (e.g., digital data and open science) and rejecting unhelpful information (e.g., misinformation and fake news) for effectively acquiring useful insights. Useful insights were later employed by experts, enterprises, governments, and international organizations through interdisciplinary coordinated efforts for developing vaccines within a short period. Finally, the appearance of multiple types of vaccines enabled more strategic options for vaccine distribution and administration. Findings from this vaccine creativity management process could be used as critical lessons for further improvements of vaccination programs. (shrink)

The relevance of the problem under study is stipulated by the need to stabilize the market for tourist services in existing restrictions caused by the SARS-CoV-2 pandemic. The purpose of the research: The purpose of the article is to develop integrated measures for the formation of transport and logistics clusters to increase the synergetic effect of the proposed activities aimed at raising the mobility level of potential consumers of tourist services. Methods of the research: The main research methods include predicting (...) and simulating; they make it possible to consider the problem of forming the package of tourist and transport services as a process of targeted monitoring and optimization of tourist routs. Results of the research: The article presents the concept of creation of the network of transport and tourist clusters in Poland and its functioning; large rail carriers are the core of the clusters. Practical significance: The proposed models for the formation of a package of tourist services are aimed at increasing the synergetic effect for all cluster participants, as well as at the development of tourist activities during the pandemic. (shrink)

The global rollout of Covid-19 vaccination has amplified concerns regarding vaccination hesitancy, which presents a formidable challenge for public health authorities. While widespread vaccination is imperative for containing the virus, hesitancy arises from multiple factors, including apprehensions about potential long-term vaccine side-effects and misconceptions about vaccination. This has prompted discussions about the feasibility of mandating Covid-19 vaccination, especially for specific groups like healthcare professionals and the general public. This paper critically examines the tension between a paternalistic approach and (...) individual autonomy, advocating for a balanced strategy that considers both public health imperatives and individual rights. Drawing insights from existing literature, the study emphasizes the need for a nuanced and pragmatic approach to address vaccine hesitancy effectively. (shrink)

Governments around the world have faced the challenge of how to respond to the recent outbreak of a novel coronavirus disease. Some have reacted by greatly restricting the freedom of citizens, while others have opted for less drastic policies. In this paper, I draw a parallel with vaccination ethics to conceptualize two distinct approaches to COVID-19 that I call altruistic and lockdown. Given that the individual measures necessary to limit the spread of the virus can in principle be achieved (...) voluntarily as well as through enforcement, the question arises of how much freedom governments ought to give citizens to adopt the required measures. I argue that an altruistic approach is preferable on moral grounds: it preserves important citizen freedoms, avoids a number of potential injustices, and gives people a much-needed sense of meaning in precarious times. (shrink)

The COVID-19 crisis opened up discussions on using online tools and platforms for academic work, e.g. for research (management) events that were originally designed as face-to-face interactions. As social scientists working in the domain of responsible research and innovation (RRI), we draft this paper to open up a dialogue on Responsible online Research and Innovation (RoRI), and deliberate particular socioethical opportunities and challenges of the onlineification in collaborative theoretical and empirical research. An RRI-inspired ‘going online’ approach would mean, we (...) suggest, trying to make academic events and research activities more inclusive, researchers’ attitude to their work more reflective and suggest processes that are more responsive to societal needs and ethical concerns. For such systematic reflection, we suggest using the RRI-heuristic provided by Owen et al., and applying the dimensions of ‘Anticipation, Inclusion, Reflection and Responsiveness’ (AIRR) in order to identify and reflect on the dilemmas involved in ‘going online’ in one’s research. (shrink)

The global spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or coronavirus disease 19 (COVID-19) has led to the imposition of severely restrictive measures by governments in the Western hemisphere. We feel a contrast between these measures and our freedom. This contrast, we argue, is a false perception. It only appears to us because we look at the issue through our contemporary moral philosophy of utilitarianism and an understanding of freedom as absence of constraints. Both these views can (...) be substituted with more sophisticated alternatives, namely an ethics of virtue and a notion of freedom of the will. These offer a fuller picture of morality and enable us to cooperate with the current restrictions by consciously choosing to adhere to them instead of perceiving them as draconian and immoral. We ask whether we should collaborate with the restrictions and argue that considerations of virtue will lead to an affirmative answer. More broadly, virtue ethics permits to deal with the practical concerns about how an individual should behave during this pandemic, given the current lockdown measures or lack thereof. -/- In section 1, we present how utilitarianism and a notion of freedom as negative liberty support the opposition to restrictive measures. In section 2, we outline an alternative based on an ethics of virtue and a more elaborated notion of free will. In the concluding section 3, we argue that considerations of virtue should guide the individual and public response to the emergency. (shrink)

This article discusses the triage response to the COVID-19 delta variant surge of 2021. One issue that distinguishes the delta wave from earlier surges is that by the time it became the predominant strain in the USA in July 2021, safe and effective vaccines against COVID-19 had been available for all US adults for several months. We consider whether healthcare professionals and triage committees would have been justified in prioritising patients with COVID-19 who are vaccinated above those (...) who are unvaccinated in first-order or second-order triage. Given that lack of evidence for a correlation between short-term survival and vaccination, we argue that using vaccination status during first-order triage would be inconsistent with accepted triage standards. We then turn to notions of procedural fairness, equity and desert to argue that that there is also a lack of justification for using vaccination status in second-order triage. In planning for future surges, we recommend that medical institutions base their triage decisions on principles meant to save the most lives, minimise inequity and protect the public’s trust, which for the time being would not be served by the inclusion of vaccination status. (shrink)

Contributions to COVID-19 vaccination programmes promise valuable collective goods. They can support public and individual health by creating herd immunity and taking the pressure off overwhelmed public health services; support freedom of movement by enabling governments to remove restrictive lockdown policies; and improve economic and social well-being by allowing businesses, schools, and other essential public services to re-open. The vaccinated can contribute to the production of these goods. The unvaccinated, who benefit from, but who do not contribute to these (...) goods can be morally criticised as free-riders. In this paper defends the claim that in the case of COVID-19, the unvaccinated are unfair free-riders. I defend the claim against two objections. First, that they are not unfair free-riders because they lack the subjective attitudes and intentions of free-riders; second, that although the unvaccinated may be free-riders, their free-riding is not unfair. (shrink)

ABSTRACTThis article addresses the question of whether certain experiences that originate in causes other than bereavement are properly termed ‘grief’. To do so, we focus on widespread experiences of grief that have been reported during the Covid-19 pandemic. We consider two potential objections to a more permissive use of the term: grief is, by definition, a response to a death; grief is subject to certain norms that apply only to the case of bereavement. Having shown that these objections are (...) unconvincing, we sketch a positive case for a conception of grief that is not specific to bereavement, by noting some features that grief following bereavement shares with other experiences of loss. (shrink)

ABSTRACT In this article, I indicate how the naturalized and individualized conception of disability that prevails in philosophy informs the indifference of philosophers to the predictable COVID-19 tragedy that has unfolded in nursing homes, supported living centers, psychiatric institutions, and other institutions in which elders and younger disabled people are placed. I maintain that, insofar as feminist and other discourses represent these institutions as sites of care and love, they enact structural gaslighting. I argue, therefore, that philosophers must engage (...) in conceptual engineering with respect to how disability and these institutions are understood and represented. To substantiate my argument, I trace the sequence of catastrophic events that have occurred in nursing homes in Canada and in the Canadian province of Ontario in particular during the pandemic, tying these events to other past and current eugenic practices produced in the Canadian context. The crux of the article is that the COVID-19 pandemic has thrown into vivid relief the carceral character of nursing homes and other congregate settings in which elders and younger disabled people are confined. -/- KEYWORDS carceral, conceptual engineering, nursing home-industrial-complex, philosophy of disability, structural gaslighting. (shrink)

The rare but severe cerebral venous thrombosis occurring in some AstraZeneca vaccine recipients has prompted some governments to suspend part of their COVID-19 vaccination programmes. Such suspensions have faced various challenges from both scientific and ethical angles. Most of the criticisms against such suspensions follow a consequentialist approach, arguing that the suspension will lead to more harm than benefits. In this paper, I propose a rights-based argument against the suspension of the vaccine rollouts amid this highly time-sensitive combat of (...) COVID-19. I argue that by suspending a vaccine rollout, a government infringes people's right to take the risks they deem worth taking for their health. I also consider four potential objections to my argument and explain why none of them undermines my argument. (shrink)

This paper endeavors to understand the research landscape of finance research in Vietnam during the period 2008 to 2020 and predict the key defining future research directions. Using the comprehensive database of Vietnam’s international publications in social sciences and humanities, we extract a dataset of 314 papers on finance topics in Vietnam from 2008 to 2020. Then, we apply a systematic approach to analyze four important themes: Structural issues, Banking system, Firm issues, and Financial psychology and behavior. Overall, there have (...) been three noticeable trends within finance research in Vietnam: (1) assessment of financial policies or financial regulation, (2) deciphering the correlates of firms’ financial performances, and (3) opportunities and challenges in adopting innovations and ideas from foreign financial market systems. Our analysis identifies several fertile areas for future research, including financial market analysis in the post-COVID-19 eras, fintech, and green finance. (shrink)

Recent studies indicate that indicative conditionals like "If people wear masks, the spread of Covid-19 will be diminished" require a probabilistic dependency between their antecedents and consequents to be acceptable (Skovgaard-Olsen et al., 2016). But it is easy to make the slip from this claim to the thesis that indicative conditionals are acceptable only if this probabilistic dependency results from a causal relation between antecedent and consequent. According to Pearl (2009), understanding a causal relation involves multiple, hierarchically organized conceptual (...) dimensions: prediction, intervention, and counterfactual dependence. In a series of experiments, we test the hypothesis that these conceptual dimensions are differentially encoded in indicative and counterfactual conditionals. If this hypothesis holds, then there are limits as to how much of a causal relation is captured by indicative conditionals alone. Our results show that the acceptance of indicative and counterfactual conditionals can become dissociated. Furthermore, it is found that the acceptance of both is needed for accepting a causal relation between two co-occurring events. The implications that these findings have for the hypothesis above, and for recent debates at the intersection of the psychology of reasoning and causal judgment, are critically discussed. Our findings are consistent with viewing indicative conditionals as answering predictive queries requiring evidential relevance (even in the absence of direct causal relations). Counterfactual conditionals in contrast target causal relevance, specifically. Finally, we discuss the implications our results have for the yet unsolved question of how reasoners succeed in constructing causal models from verbal descriptions. (shrink)

COVID-19 vaccine refusal seems like a paradigm case of irrationality. Vaccines are supposed to be the best way to get us out of the COVID-19 pandemic. And yet many people believe that they should not be vaccinated even though they are dissatisfied with the current situation. In this paper, we analyze COVID-19 vaccine refusal with the tools of contemporary philosophical theories of responsibility and rationality. The main outcome of this analysis is that many vaccine-refusers are responsible for (...) the belief that they should not be vaccinated and epistemically rational in holding it. This is an important result because it provides insights into the legitimacy of certain public health policies. In particular, this result shows that a public health policy that would abandon the project of convincing certain vaccine-refusers with reasons – e.g., by simply making vaccination compulsory – is prima facie illegitimate. (shrink)

The ongoing COVID-19 pandemic has brought science to the fore of public discourse and, considering the complexity of the issues involved, with it also the challenge of effective and informative science communication. This is a particularly contentious topic, in that it is both highly emotional in and of itself; sits at the nexus of the decision-making process regarding the handling of the pandemic, which has effected lockdowns, social behaviour measures, business closures, and others; and concerns the recording and reporting (...) of disease mortality. To clarify a point that has caused much controversy and anger in the public debate, the first part of the present article discusses the very fundamentals underlying the issue of causative attribution with regards to mortality, lays out the foundations of the statistical means of mortality estimation, and concretizes these by analysing the recording and reporting practices adopted in England and their widespread misrepresentations. The second part of the article is empirical in nature. I present data and an analysis of how COVID-19 mortality has been reported in the mainstream media in the UK and the USA, including a comparative analysis both across the two countries as well as across different media outlets. The findings clearly demonstrate a uniform and worrying lack of understanding of the relevant technical subject matter by the media in both countries. Of particular interest is the finding that with a remarkable regularity (????>0.998), the greater the number of articles a media outlet has published on COVID-19 mortality, the greater the proportion of its articles misrepresented the disease mortality figures. (shrink)

Mindset plays a vital role in tackling the barriers to improving the preservice mathematics teachers’ (PMTs) conceptual understanding of problem-solving. As the COVID-19 pandemic has continued to pose a challenge, online learning has been adopted. This led this study to determining the PMTs’ mindset and level of conceptual understanding in problem-solving in an online learning environment utilising Google Classroom and the Khan Academy. A quantitative research design was employed specifically utilising a descriptive, comparative, and correlational design. Forty-five PMTs were (...) chosen through simple random sampling and willingly took part in this study. The data was gathered using validated and reliable questionnaires and problem-solving tests. The data gathered was analysed using descriptive statistics, analysis of variance, and simple linear regression. The results revealed that the college admission test, specifically numerical proficiency, influences a strong mindset and a higher level of conceptual understanding in problem-solving. Additionally, this study shows that mindset predicts the levels of conceptual understanding in problem-solving in an online environment where PMTs with a growth mindset have the potential to solve math problems. The use of Google Classroom and the Khan Academy to aid online instruction is useful in the preparation of PMTs as future mathematics teachers and problem-solvers. Further studies may be conducted to validate these reports and to address the limitations of this study. (shrink)

This article approaches the COVID-19 pandemic as an inherently antagonistic phenomenon. To do so, it carries forward the philosophical contentions that Žižek outlines in his Pandemic! COVID-19 Shakes the World, as well as his wider work. With reference to the parallax Real and McGowan’s Hegelian contradiction, it is demonstrated that Žižek’s philosophical premises hold a unique importance in politically confronting COVID-19. Indeed, by drawing specific attention to the various ways in which our confrontations with the Real expose (...) the limitations of our socio-ideological orders, it is argued that it is in these very limitations that the limits of the Real are transposed through the various “fictions” we employ to fight and perceive it. In outlining this confrontation, a focused discussion on the Real as “impossible” – a “characteristic” that affords an important political significance for the present context and its ongoing limitations – is provided. In conclusion, if the COVID-19 pandemic demands a new “commons”, and if our response to the crisis should be one where the desires of the nation-state are regulated and controlled, then, it may not simply be enough that we “demand the impossible”. Instead, it is today that the impossible demands a new “us”. (shrink)

The article entitled “Post-COVID-19: Education and Thai Society in Digital Era” has two objectives: 1) to study digital technology 2) to study the living life in Thailand in the digital era after COVID-19 pandemics. According to the study, it was found that the new digitized service is a service process on digital platforms such as ordering food, hailing a taxi, and online trading. It is a service called via smartphone. The information is used digitally. Public relations, digital marketing, (...) and living in cyberspace play an increasingly digital role. People have communication skills, use Line, Facebook, social media, have tools to search for knowledge, learn and improve themselves. People in the new era of life have a new way of life therefore there is social life in the cyber world. There should be ethics, attitudes, values, and click-on images that are linked to digital use. For a good time life, It is important to have digital intelligence (Digital Quotient) to live after post-COVID19, the digital era. (shrink)

As governments around the world imposed lockdowns or stay-at-home measures, people began to feel the stress as time dragged on. There were already reports on some individuals committing suicide. How do governments respond to such a phenomenon? Our main focus is the Philippine government and how it responded to the COVID-19 pandemic. In this paper, we argue that the problem with COVID-19 went forth just dealing with physical health. First, people suffer not just from being infected but the (...) psychological stress of possibly getting the virus and the toll of the government lockdown or quarantine. Second, the Philippine Bayanihan ‘We Heal As One Act’ lacks focus on mental health issues while the government's response seemed to focus on security issues. Third, there are countries around the world that have acted effectively in protecting people’s mental health. Lastly, we propose appropriate measures to help address the people's mental health while still in the pandemic and for a future one. (shrink)

During the Covid-19 pandemic, public policy was not driven by findings from public health research, but by politicians’ desire to pursue their own interests. The media and politicians inflamed mass hysteria and then imposed ill-considered lockdowns to “solve” the problem. Lockdowns not only failed to protect those at risk from the virus, but also caused enormous collateral damage. Public choice theory helps explaining this decision-making. -/- .

The COVID-19 pandemic has been overwhelming public health-care systems around the world. With demand exceeding the availability of medical resources in several regions, hospitals have been forced to invoke triage. To ensure that this difficult task proceeds in a fair and organised manner, governments scrambled experts to draft triage guidelines under enormous time pressure. Although there are similarities between the documents, they vary considerably in how much weight their respective authors place on the different criteria that they propose. Since (...) most of the recommendations do not come with ethical justifications, analysing them requires that one traces back these criteria to their underlying theories of distributive justice. In the literature, COVID-19 triage has been portrayed as a value conflict solely between utilitarian and egalitarian elements. While these two accounts are indeed the main antipodes, I shall show that in fact all four classic theories of distributive justice are involved: utilitarianism, egalitarianism, libertarianism, and communitarianism. Detecting these in the documents and classifying the suggested criteria accordingly enables one to understand the balancing between the different approaches to distributive justice—which is crucial for both managing the current pandemic and in preparation for the next global health crisis. (shrink)

Ageing is one of the main risk factors for Covid-19. In this paper, we delineate four alternative conceptualisations of ageing, each of which determines different understandings of its causal role to the susceptibility to Covid-19 as well as to the severity of its symptoms and adverse health outcomes.

The COVID-19 pandemic has demonstrated how different (even conflicting) interventions on nature can be scientifically justified: interventions can be deemed "effective" only in relation to specific target variables - in relation to variables the values of which we seek to control. Choosing the "right" target variables, in turn, depends on our values and pragmatic aims. This essay is based on a presentation given at the symposium "Multidisciplinary Perspectives on the COVID-19 Pandemic", organised at the Helsinki Collegium for Advanced (...) Studies on 16 June 2020. (shrink)

COVID-19 not only directly devastated people’s health but also disrupted normal lifestyles and increased the risk of mental health issues. Kim SY, et al. (2022) explored the mental problems further in the Journal of Personalized Medicine.

The Covid-19 pandemic has fuelled indignation. People have been indignant about the breaking of lockdown rules, about the mistakes and deficiencies of government pandemic policies, about enforced mask-wearing, about vaccination programmes (or lack thereof), about lack of care with regards vulnerable individuals, and more. Indeed, indignation seems to have been particularly prevalent on social media platforms such as Twitter and Facebook, where indignant remarks are often accompanied by variations on the hashtag #WTF?! In this paper, I explore indignation’s distinctive (...) character as a form of moral anger, in particular suggesting that what is characteristic of indignation is not only that it discloses moral injustices but betrays our disbelief at the very occurrence of the offence. Having outlined the character of indignation, I consider how the structure of indignation impacts how we do, respond to, and receive indignation. I explore indignation in action, so to speak, in the context of Covid-19, with a particular emphasis on how indignation occurs ‘on the internet’. (shrink)

Previous research has shown that women are disproportionately negatively affected by a variety of socio-economic hardships, many of which COVID-19 is making worse. In particular, because of gender roles, and because women’s jobs tend to be given lower priority than men’s (since they are more likely to be part-time, lower-income, and less secure), women assume the obligations of increased caregiving needs at a much higher rate. This unfairly renders women especially susceptible to short- and long-term economic insecurity and decreases (...) in wellbeing. Single-parent households, the majority of which are headed by single mothers, face even greater risks. These vulnerabilities are further compounded along the dimensions of race, ethnicity, class, and geography. Drawing upon the philosophical literature on political responsibility and structural injustice (specifically, the work of Iris Marion Young), I argue that while the state may not have had either foresight into, or control over, the disproportionate effect the pandemic would have on women, it can nonetheless be held responsible for mitigating these effects. In order to do so, it must first recognize the ways in which women have been affected by the outbreak. Specifically, policies must take into account the unpaid labor of care that falls on women. Moreover, given that this labor is particularly vital during a global health pandemic, the state ought to immediately prioritize the value of this work by providing financial stimuli directly to families, requiring employers to provide both sick leave and parental leave for at least as long as schools and daycares are inoperational, and providing subsidized emergency childcare. (shrink)

The COVID-19 has been a shock of the centuries. The new has never been so true, but how do we thrive in this uncertainty? What are we experiencing through these times? And what do we need in order to thrive in this darkness?

Bioethics, Volume 36, Issue 6, Page 687-698, July 2022.

The COVID-19 pandemic has caused major changes in all areas of life, including the life of the church. It has caused the church to live in a new normal, challenging the church’s ability and perspective on how to carry out its mission. This article explores the mission of the church in the new normal. It provides consideration of health protocols, the use of technology, spirituality, and the church’s attitudes and actions toward the issues that are part of the new (...) normal. (shrink)

Trans healthcare and thus trans people have been severely affected by the COVID-19 pandemic. Trans people’s healthcare situations have turned out to be so vulnerable in this crisis because they have been precarious to begin with. There are multiple ways in which trans healthcare has been affected: Surgeries and other procedures have been cancelled or postponed, and mental health services have been paused or moved online. This raises ethical questions around discrimination against trans people in the healthcare system. This (...) article argues that cancelling trans surgeries and procedures in the COVID-19 crisis is made possible through an understanding of trans healthcare as non-essential. The article explores how trans healthcare in particular has been affected by the pandemic. (shrink)