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At present, COVID-19 remains a public health concern due to the ongoing evolution of SARS-CoV-2 and its prevalence in particular countries. This paper provides an updated overview of the epidemiology and pathogenesis of COVID-19, with a focus on the emergence of SARS-CoV-2 variants and the phenomenon known as 'long COVID'. Meanwhile, diagnostic and detection advances will be mentioned. Though many inventions have been made to combat the COVID-19 pandemic, some outstanding ones include multiplex RT-PCR, which can be used for accurate diagnosis of SARS-CoV-2 infection. ELISA-based antigen tests also appear to be potential diagnostic tools to be available in the future. This paper also discusses current treatments, vaccination strategies, as well as emerging cell-based therapies for SARS-CoV-2 infection. The ongoing evolution of SARS-CoV-2 underscores the necessity for us to continuously update scientific understanding and treatments for it. [ABSTRACT FROM AUTHOR]

Nursing research is rapidly increasing, yet contributions from numerous countries that may interest the international nursing community are impeded because many research articles are published in authors' native language and not in English. The objectives of this work were to systematically review papers published in Italian related to job satisfaction and the quality of nursing care, and to discuss their findings in light of the international literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method was used. The Directory of Open Access Journals (DOAJ) and Indice della Letteretura Italiana di Scienze Infermieristiche (ILISI) databases were consulted for eligible studies published from January 2015 to November 2022. Two hundred sixteen papers were identified, 11 of which were selected for review: 8 on job satisfaction, two on workload issues, and 1 on quality of nursing care. The quality of included studies was assessed through the Effective Public Health Practice Project quality assessment tool (EPHPP). The results of our review were in line with those of international literature, and they can help to fill the knowledge gap on the quality of nursing performance in Italian care settings. In addition, the proposed method can provide further elements of discussion among literature providers and reviewers. [ABSTRACT FROM AUTHOR]

Introduction: Exclusive breastfeeding until six months of life is the ideal way to feed infants. However, there is a significant number of infants who have never breastfed, despite the beneficial properties of breastfeeding. On the other hand, the coronavirus outbreak had significant effects on people's health, both mentally and physically, and has also impacted the breastfeeding process. Aim: The aim of this study was to investigate the implication of COVID-19 on breastfeeding through qualitative data from databases. Methods: We searched online databases (PubMed, Google Scholar, PsycINFO) for studies published from 2019 to 2023. 'Out of the 2598 papers we found, only 12 were included in the review'. More specifically, from the 1558 papers remaining from the title and abstract evaluation as well as duplicates, a further 1546 papers belonging to our exclusion criteria were removed (all types of reviews, letters to editors, and quantitative articles). Results: Our results covered three subjects: breastfeeding support during the pandemic, effects of social containment measures on breastfeeding, and additional outcomes regarding breastfeeding. Most voices found the effects of the pandemic on breastfeeding beneficial, with reduced professional support and a high degree of support from the environment. Additional negative factors were observed, as well as consequences of the pandemic in women's lives. Conclusions: COVID-19 was the occasion to understand the power of the supportive environment of the woman, especially the partner, in establishing and maintaining breastfeeding. Therefore, policy makers and health professionals, especially midwives, should implement family-centered breastfeeding strategies that are more supportive of the partner role, providing problem counseling when and where deemed necessary. [ABSTRACT FROM AUTHOR]

This paper charts the journey from classroom-based training delivery to hybrid and virtual learning opportunities used to overcome the challenges imposed by public health restrictions introduced in response to the COVID-19 pandemic. The public health measures introduced in March 2020 had a significant effect on the ability of the Children First Information and Advice Service (CFIAS), in Tusla, Ireland's Child and Family Agency, to deliver services. One of the key tools used by the CFIAS to support understanding of responsibilities, and best practice, in child safeguarding by professionals, and within organisations, has been the provision of direct training and information sessions. The introduction of public health restrictions necessitated a complete rethink by the CFIAS on how child safeguarding training and information are delivered. The paper presents an outline of the background and context of child safeguarding in Ireland, followed by a description of some of the challenges experienced by the CFIAS in response to the pandemic public health restrictions. It includes discussion on strategies and solutions considered to overcome these challenges. There is further discussion on the tools and methods eventually used, followed by a reflection on lessons learned by the CFIAS in areas including training delivery and methodology, eLearning, and information provision. The paper provides an analysis of limited qualitative and quantitative data, as well as a reflection on the lived experience of the CFIAS team members responding to the challenges posed during this time period, rather than a preplanned research study on pedagogical approaches in adult learning. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic has disrupted global daily life, including the world of elite athletes. This paper examines the multifaceted impact the COVID-19 pandemic had on elite swimmers and water polo athletes, specifically their mental health, their concerns over the virus, their intentions of getting vaccinated, and sleep disturbances that they may have faced. Methods: We conducted a cross-sectional study on elite swimmers and water polo players, using an anonymous questionnaire. Results: A total of 200 elite athletes participated. The majority of the participants reported a negative impact on their mental health, screened positive for insomnia (n = 107 (53.5%), with females (n = 101; 57.7%), swimmers (n = 100, 66.7%), and university students (n = 71, 71.7%) being more vulnerable (p < 0.001). Concerns about contracting the disease especially during important training or tournament periods and potential career disruption also affected their psychological well-being. While the majority (75%) had the intention of getting vaccinated, an alarming percentage was yet uncertain over its decision. Conclusions: This study highlights the significant psychological distress faced by elite aquatic athletes during the pandemic. It emphasizes the difficulties faced by elite swimmers and water polo athletes and determines not only the importance of addressing the vaccination intentions of athletes, but also how critical it is to confront the challenges they face both for their personal health and for the restoration of world sports to their pre-pandemic state. More large-scale studies are required to inform policies targeted at minimizing disruption to the athletes' career, provision of information on preventive measures and vaccination, and improvement in psychological well-being in case of similar major public health issues in the future. Additionally, this study calls for further research to explore the unique challenges faced by aquatic athletes, such as those related to their training environments and fear of contagion, to better support them in future public health crises. [ABSTRACT FROM AUTHOR]

The threat posed by the COVID-19 pandemic has been accompanied by an epidemic of misinformation, causing confusion and mistrust among the public. Misinformation about COVID-19 whether intentional or unintentional takes many forms, including conspiracy theories, false treatments, and inaccurate information about the origins and spread of the virus. Though the pandemic has brought to light the significant impact of misinformation on public health, mathematical modeling emerged as a valuable tool for understanding the spread of COVID-19 and the impact of public health interventions. However, there has been limited research on the mathematical modeling of the spread of misinformation related to COVID-19. In this paper, we present a mathematical model of the spread of misinformation related to COVID-19. The model highlights the challenges posed by misinformation, in that rather than focusing only on the reproduction number that drives new infections, there is an additional threshold parameter that drives the spread of misinformation. The equilibria of the model are analyzed for both local and global stability, and numerical simulations are presented. We also discuss the model's potential to develop effective strategies for combating misinformation related to COVID-19. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has placed enormous pressure on healthcare systems. In the first line of the "war" against the virus, hospitals tried to maintain their general operations, while supplementing their services with COVID-19 patient care. To tackle the new difficulties, hospitals had to develop strategic response plans, and were in need of finding the most effective management structure for their institution. The focus of this paper is the aforementioned management structures. After overviewing the international literature, we identified three different approaches and we named them the Horizontal, Vertical, and Intermedier Approach. The separation is based on the following features: decision making, information distribution, command forwarding, intra-hospital communication channels, hierarchy, and control. After summarizing the international experiences, we introduce a Hungarian centrum hospital's approach, as the institution was assigned to fulfil COVID-19 centrum hospital duties in the middle of the first wave. The North-Buda Szent János Central hospital was in need of restructuring their management structure, and the leadership decided to transform it into a hierarchical, vertical structure, operating with centralized decision making and personal control. This control–command system idea came from the hospital's Internist Head Coordinator Physician, who is the first author of our article, and had serious military medicine experiences (in Afghanistan). [ABSTRACT FROM AUTHOR]

In the development of an inactivated virus vaccine, the isolation of a single virus strain plays a key role in determining potency. The conventional methods of quantification of virus number are mainly based on virus titers, which are subjective and time-consuming, especially in the early stage of virus isolation, in which the titer difference is weak. Previous reports have shown a high correlation between the spike protein and the potency of COVID-19 vaccines. In this paper, we report a novel, fast, and convenient method of screening an Omicron virus strain by quantifying the spike protein content, where the isolated strain shows high affinity to Omicron-specific antibodies and a high titer, and it can induce high levels of neutralization antibodies. [ABSTRACT FROM AUTHOR]

By integrating energy-efficient AIoT-based biosensor networks, healthcare systems can now predict COVID-19 outbreaks with unprecedented accuracy and speed, revolutionizing early detection and intervention strategies. Therefore, this paper explores the rapid growth of electronic technology in today's environment, driven by the proliferation of advanced devices capable of monitoring and controlling various healthcare systems. However, these devices' limited resources necessitate optimizing their utilization. To tackle this concern, we propose an enhanced Artificial Intelligence of Things (AIoT) system that utilizes the networking capabilities of IoT biosensors to forecast potential COVID-19 outbreaks. The system aims to efficiently collect data from deployed sensor nodes, enabling accurate predictions of possible disease outbreaks. By collecting and pre-processing diverse parameters from IoT nodes, such as body temperature (measured non-invasively using the open-source thermal camera TermoDeep), population density, age (captured via smartwatches), and blood glucose (collected via the CGM system), we enable the AI system to make accurate predictions. The model's efficacy was evaluated through performance metrics like the confusion matrix, F1 score, precision, and recall, demonstrating the optimal potential of the IoT-based wireless sensor network for predicting COVID-19 outbreaks in healthcare systems. [ABSTRACT FROM AUTHOR]

This paper highlights curriculum and policy reforms and innovations in a Higher Education (HE) institution in response to undergraduate student perspectives about the phenomenon of the COVID-19 restrictions imposed by the New Zealand government (2020–2022). The advent of the coronavirus pandemic precipitated unexpected and unprecedented changes in HE learning and in the pedagogy required for undergraduate students. Consequently, HE institutions have had to be agile, resulting in 'emergency' adaptations to curriculum practice and policy implementation. This paper discusses triggers for change, reactions to restrictions, strategic measures, and the emergence of a 'new normal' from an undergraduate student perspective. Local and global concerns about student participation in undergraduate study (in Sport and Recreation), sport, and physical activity during restricted periods prompted the researchers to investigate the challenges these young people faced. Student voice was collected through semi-structured interviews and focus groups, collected post lockdown periods. Research findings, elicited from lecturers using a collaborative auto-ethnographical method, along with interpretative analysis (hermeneutic phenomenology) of students' perspectives about the four pillars of lifestyle, active lives, learning, and livelihood provide insights about the impact of unexpected curriculum and policy change for HE students in New Zealand. This research provides real-time data to inform recommendations on policy and practice in HE institutions, to enhance student wellbeing in times of crises, like the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

The rationale for this review paper is to take stock of the current knowledge in the literature on the intersection of telework and work–life balance—an area that has grown in importance due to the impact of the COVID-19 pandemic. The review also considers the context of the government's role in pursuing policies to reduce the impacts of the pandemic in order to improve societal if not personal resilience, as these policies sometimes had unintended adverse impacts. After a section on the literature search method, sections follow on the literature considering telework/working from home, stress, and gender; work–life balance figures prominently in the papers reviewed. An additional category for the government and its role in concerns related to this topic follows. For future research, the differences between groups in responding to the demands of telework and work–life balance, particularly in regard to gender, are worth further investigation, as the COVID-19 pandemic has offered great challenges but also immense opportunities to learn and prepare organizations for future crises. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic represented a huge obstacle for public health and demonstrated weaknesses in surveillance and health promotion systems around the world. Its etiological agent, SARS-CoV-2, of zoonotic origin, has been the target of several studies related to the control and prevention of outbreaks and epidemics of COVID-19 not only for humans but also for animals. Domestic animals, such as dogs and cats, have extensive contact with humans and can acquire the infection both naturally and directly from humans. The objective of this article was to summarize the seroprevalence findings of SARS-CoV-2 in dogs and cats and correlate them with the strength of infection risk between each of them. This is a systematic review and meta-analysis following the recommendations of PRISMA 2020. The search and selection of papers was carried out using in vivo experimental works with animals using the descriptors (MeSH/DeCS) "Animal", "Public Health", "SARS-CoV-2" and "Pandemic" (together with AND) in English, Portuguese or Spanish for Science Direct, PUBMED, LILACS and SciELO databases. The ARRIVE checklist was used for methodological evaluation and the Comprehensive Meta-Analysis v2.2 software with the Difference Risk (RD) test to evaluate statistical inferences (with subgroups by continent). Cats showed greater susceptibility to SARS-CoV-2 compared to dogs both in a joint analysis of studies (RD = 0.017; 95% CI = 0.008–0.025; p < 0.0001) and in the American subgroup (RD = 0.053; 95% CI = 0.032–0.073; p < 0.0001), unlike the lack of significant difference on the European continent (RD = 0.009; 95% CI = −0.001–0.018; p = 0.066). Therefore, it was observed that cats have a greater interest in health surveillance due to the set of biological and ecological aspects of these animals, but also that there are a set of factors that can influence the spread and possible spillover events of the virus thanks to the anthropozoonotic context. [ABSTRACT FROM AUTHOR]

Infectious illness prevention and control is an important part of public health management. The early monitoring and numerical modelling of incidence data can help with the efficient prevention and control of infectious disease prevalence. The reproduction number R, as an essential index to understand the dynamics of COVID-19, can be predicted by using confirmed new incidence cases and serial interval data in the datasets provided by UK government. In this paper, an extended model is proposed to account for variable reporting rates instead of 1 for the estimation of the R number. The impact of using various modelling parameters is also evaluated, which provides insight into how to select a set of suitable parameters in modelling. The variation of the estimation of the R number by incorporating variable reporting rates can be observed and assessed. [ABSTRACT FROM AUTHOR]

Background and Objectives: The purpose of this paper was to perform a literature review on the effects of the COVID-19 pandemic on cardiothoracic and vascular surgery care and departments. Materials and Methods: To conduct this evaluation, an electronic search of many databases was conducted, and the resulting papers were chosen and evaluated. Results: Firstly, we have addressed the impact of COVID-19 infection on the cardiovascular system from the pathophysiological and treatment points of view. Afterwards, we analyzed every cardiovascular disease that seemed to appear after a COVID-19 infection, emphasizing the treatment. In addition, we have analyzed the impact of the pandemic on the cardiothoracic and vascular departments in different countries and the transitions that appeared. Finally, we discussed the implications of the cardiothoracic and vascular specialists' and residents' work and studies on the pandemic. Conclusions: The global pandemic caused by SARS-CoV-2 compelled the vascular profession to review the treatment of certain vascular illnesses and find solutions to address the vascular consequences of COVID-19 infection. The collaboration between vascular surgeons, public health specialists, and epidemiologists must continue to investigate the impact of the pandemic and the response to the public health issue. [ABSTRACT FROM AUTHOR]

This paper examines the subjective realities of female students in higher education as they navigated their well-being and active lives during the COVID-19 pandemic. Drawing upon Merleau-Ponty's phenomenological framework, which confronts an often-neglected dimension of our experience—the lived body and the phenomenal world—we aim to inform the development of targeted support and interventions to address the specific needs of female students, in future pandemic times. By exploring how three female students studying sport and recreation in higher education perceived their experiences, this article seeks to shed light on the unique challenges faced by these women in maintaining physical activity, coping with isolation and a change in social networks, and managing their mental health in the context of the pandemic. Understanding these subjective realities (such as isolation, restricted physical activity, and loss of social connections) and interpreting the three students' lived habitats, their bodily responsiveness, and their spontaneity ensures that their experience is heard, and appropriate future support can be given. [ABSTRACT FROM AUTHOR]

After three years of global rampage, the COVID-19 epidemic, the most serious infectious disease to occur worldwide since the 1918 influenza pandemic, is nearing its end. From the global experience, medical control and social control are the two main dimensions in the prevention and control of COVID-19. From the perspective of "two types of control", namely medical control and social control, this paper finds that the political system, economic structure, and cultural values of the United States greatly limit the government's ability to impose social control, forcing it to adopt medical control to fight the virus in a single dimension. In contrast, China's political system, economic structure, and cultural values allow its government to adopt stringent, extensive, and frequent social control, as well as medical control to fight the virus. This approach departs from the traditional pathway of fighting the epidemic, i.e., "infection–treatment–immunization", thereby outpacing the evolution of the virus and controlling its spread more rapidly. This finding helps explain why the Chinese government adopted a strict "zeroing" and "dynamic zeroing" policy during the first three years, at the cost of enormous economic, social, and even political legitimacy. It was not until late 2022, when the Omicron variant with the waning virulence became prevalent, that China chose to "coexist" with the virus, thus avoiding a massive epidemic-related death. While the United States adopted a pulsed-style strategy at the beginning of the epidemic, i.e., "relaxation–suppression–relaxation–suppression", and began to "coexist" with the virus in just one year, resulting in a large number of excess deaths associated with the epidemic. The study contributes to explaining the difference in the interplay between public health priorities and COVID-19 response strategies in China and the United States, based on the specific public health context and the perspective of "medical control" and "social control". [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic necessitated sensitive, fast, and inexpensive testing for the virus in 2020 prior to the widespread availability of vaccines. Early testing efforts were limited by bottlenecks on reagents, low-throughput testing options, and the slow return of test results. In this paper, we detail the testing pipeline we established at the University of Wisconsin-Madison for rapid, inexpensive, and sensitive surveillance testing for SARS-CoV-2, and we highlight the strengths of the platform that would allow it to be applied to other disease surveillance projects, SARS-CoV-2 variant testing, or future pandemics. This pipeline can be quickly established for further accreditation and clinical application. [ABSTRACT FROM AUTHOR]

The outbreak of COVID-19 posed a significant challenge to the emergency management system for public health emergencies, especially in China, where the epidemic began. As intelligent technology has injected new vitality into emergency management, applying intelligent technology to optimize emergency resource allocation (ERA) has become a focus of research in the post-epidemic era. Based on China's experience in preventing and controlling COVID-19, this paper first analyzes the characteristics and process of ERA in public health emergencies, and then synthesizes the relevant Chinese studies in recent years to identify the intelligent technologies affecting ERA in China using word frequency analysis technology. We also construct an intelligent emergency resource allocation mechanism in four areas: medical intelligence, management intelligence, decision-making intelligence, and supervision intelligence. Finally, we use the entropy-TOPSIS method to evaluate the impact of intelligent technologies on ERA, and we rank the criticality of intelligent technologies. The experimental results show that (i.) medical intelligence and management intelligence are the keys to developing intelligent ERA, and (ii.) among the identified essential intelligent technologies, artificial intelligence (AI), and big data technology have a more significant and critical role in emergency resource intelligence allocation. [ABSTRACT FROM AUTHOR]

For many in the West, paternalism manifest as state interference carries a pejorative connotation, as it is often taken to entail unjustified restrictions on autonomy and self-determination and frequently believed to precipitate bureaucracy, corruption, and inefficiency. Meanwhile, uncritical deference to policies in which individual liberties remain essentially unchecked by state oversight has faced renewed scrutiny since the outbreak of the COVID-19 pandemic, as many across the globe are now coming to believe that we must accept greater governmental intervention in our lives, particularly during times of widespread health crises. This paper explores normative considerations justifying state intervention with respect to public health policies in response to the COVID-19 pandemic through the lens of Confucian paternalism, which is distinguished from a more general concept of paternalism widely used in contemporary philosophical discourse. It argues that the "soft" paternalism apropos to Confucianism has pragmatic benefits for the development of healthcare policies due to which it is not only morally warranted but even preferable to alternatives in terms of safeguarding population health. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has had a devastating impact on the world at large with over 750 million cases and almost 7 million deaths reported thus far. Of those, over 100 million cases and 1 million deaths have occurred in the United States of America (USA). The mental health of the general population has been impacted by several aspects of the pandemic including lockdowns, media sensationalism, social isolation, and spread of the disease. In this paper, we examine the associations that social isolation and COVID-19 infection and related death had with the prevalence of anxiety and depression in the general population of the USA in a state-by-state multiple time-series analysis. Vector Error Correction Models are estimated and we subsequently evaluated the coefficients of the estimated models and calculated their impulse response functions for further interpretation. We found that COVID-19 incidence was positively associated with anxiety across the studied period for a majority of states. Variables related to social isolation had a varied effect depending on the state being considered. [ABSTRACT FROM AUTHOR]

Online medical consultation (OMC) is generating considerable interest among researchers and practitioners due to the mandatory quarantine measures implemented during the COVID-19 pandemic in China. However, the acceptance rate of OMC has declined over time. This paper aims to empirically investigate OMC acceptance using a proposed research model by integrating the technology acceptance model (TAM) with trust and its antecedent variables. A quantitative self-administered cross-sectional survey was conducted to collect data from 260 healthcare consumers. A partial least squares structural equation modeling method was used to examine the data. Results revealed that healthcare consumers' behavioral intention was influenced by attitudes, while perceived usefulness and trust significantly influenced behavioral intention through attitude as a mediator. In addition, perceived risk, perceived privacy protection, network externalities, cognitive reputation, and interactivity directly influenced trust. Overall, the research model explained 50% of the variance in attitude and 71% of the variance in behavioral intention. The study's findings should provide useful insights into making effective design, development, and implementation decisions for OMC services. [ABSTRACT FROM AUTHOR]

As the recent COVID-19 pandemic has aptly demonstrated, emergency scenarios concerning public health and safety may require citizens to remain at home even as patients, potentially in the context of a municipal or national lockdown. Homestay patients may require real-time monitoring, which will offer not only communication but also empirical data and will contribute to developing their personalized electronic health record in knowledge bases. Our paper features an extensive RF coverage design for such a municipally deployed and administered 5G-enabled smart city network, supporting a broadband monitoring service. The antenna deployment for the outdoor urban topology is analytically described (for the downlink channel), and the intrinsic indoor propagation characteristics are considered for the uplink channel. A digital baseband signaling scheme is assumed on the basis of a user-customized health-related monitoring service. Path loss and fading calculations consider the potential worst-case propagation conditions so that the RF coverage will be reliable, leading to a resilient city-wide municipal network. [ABSTRACT FROM AUTHOR]

The outbreak of COVID-19 in Beijing has been sporadic since the beginning of 2022 and has become increasingly severe since October. In China's policy of insisting on dynamic clearance, fine-grained management has become the focus of current epidemic prevention and control. In this paper, we conduct a refined COVID-19 risk prediction and identification of its influencing factors in Beijing based on neighborhood-scale spatial statistical units. We obtained geographic coordinate data of COVID-19 cases in Beijing and quantified them into risk indices of each statistical unit. Additionally, spatial autocorrelation was used to analyze the epidemic risk clustering characteristics. With the multi-source data, 20 influencing elements were constructed, and their spatial heterogeneity was explored by screening 8 for Multiscale Geographically weighted regression (MGWR) model analysis. Finally, a neural network classification model was used to predict the risk of COVID-19 within the sixth ring of Beijing. The MGWR model and the neural network classification model showed good performance: the R2 of the MGWR model was 0.770, and the accuracy of the neural network classification model was 0.852. The results of this study show that: (1) COVID-19 risk is uneven, with the highest clustering within the Fifth Ring Road of Beijing; (2) The results of the MGWR model show that population structure, population density, road density, residential area density, and living service facility density have significant spatial heterogeneity on COVID-19 risk; and (3) The prediction results show a high COVID-19 risk, with the most severe risk being in the eastern, southeastern and southern regions. It should be noted that the prediction results are highly consistent with the current epidemic situation in Shijingshan District, Beijing, and can provide a strong reference for fine-grained epidemic prevention and control in Beijing. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic halted progress in global vaccine coverage and disrupted routine childhood vaccination practices worldwide. While there is ample evidence of the vaccination decline experienced during the pandemic, it is less clear how low-income countries were affected. We executed a systematic review to synthesize the current literature on the impacts of routine childhood vaccinations in low-income countries from 1 January 2020 to 8 February 2023. We collected data using an extraction form on Covidence and assessed the quality of studies included in the review using the Risk of Bias in Non-Randomized Studies of Interventions (ROBINS-I) tool. Effect estimates for changes in vaccination during the pandemic were reported and summarized. Factors that influenced changes were grouped into descriptive themes. Thirteen studies, encompassing 18 low-income countries and evaluating 15 vaccines at varying doses, were included in the final review. We found that routine childhood vaccinations during the COVID-19 pandemic varied considerably by vaccine type, location, and phase of the pandemic. Nine different themes were identified as factors that influenced changes in vaccination. Documenting past experiences and lessons learned is crucial for informing preparedness efforts in anticipation of future public health emergencies. Failure to effectively address these things in the next public health emergency could result in a recurrence of declining routine childhood vaccinations. [ABSTRACT FROM AUTHOR]

Decades of wars, sanctions, and internal conflicts have compromised Iraq's health system, which once was the best system in the region. National and international efforts to revitalize the system have been successful to some extent; however, significant challenges still exist. The COVID-19 pandemic has exposed new vulnerabilities and exacerbated the existing ones, affecting the quality and the quantity of the health services delivered. This case study explored the baseline function of Iraq's health system within the context of theWorld Health Organization (WHO) health system framework. The paper also examined the country's response to the COVID-19 pandemic and some of its impacts. Results show that the system was not functioning optimally nor was it prepared to address the immediate impact of the current pandemic and other emerging public health issues. While mitigating the pandemic's short-term and long-term impacts are essential, it should not divert the focus from restructuring and strengthening the health system. Iraq may need to prioritize the health information system and leadership/governance as they provide the basis for health policies and regulations for all other health system building blocks. [ABSTRACT FROM AUTHOR]

COVID-19 represents the greatest health crisis in recent human history. To date, it is still difficult to estimate its impact on mortality. This paper investigates the excess crude mortality in 27 European countries. The differences between the values observed in 2020 and 2021 with those predicted by a joinpoint regression model were evaluated. A multi-regression analysis was implemented to assess the relationship between health variables and excess mortality. Europe experienced a marked and surprising (S-value > 52) increase in crude mortality during 2020 (Δ% = +10.0%, 95% CI: [2.5; 18.7]) and 2021 (Δ% = +12.1%, 95% CI: [4.3; 21.2]). The difference between average excesses of Eastern and Western countries was not surprising (S < 2) and had little relevance (ΔE-W = −2.4, 95% CI: [−2; 7]) during 2020 but was more pronounced (S = 15, ΔE-W = +17.2, 95% CI: [11.0; 23.5]) during 2021. Excess crude mortality increased in 2021 (Δ% = +65%, 95% CI: [12.6; 118], S = 5.9). Evidence has been found for a surprising and marked negative linear relationship between COVID-19 vaccinations and excess mortality ("2021 excess mortality = A + BX4", with "A = 58 ± 7, S = 28" and "B = −0.65 ± 0.10, S = 22, Radj2 = 0.65, 95% CI: [0.38; 0.82]). In light of the current literature, these findings provide solid evidence of the substantial role of COVID-19 in the unexpected and marked excess mortality recorded in Europe. COVID-19 vaccinations have appeared to be one of the main determinants for reducing mortality. Future research should explore these aspects in more detail. [ABSTRACT FROM AUTHOR]

This paper addresses the legal aspects and unprecedented consequences of the Coronavirus disease 2019 (COVID-19) pandemic on the manufacturing and fair access to vaccines. A research literature review allowed us to identify and evaluate the weaknesses of international health law to combat global health crises such as the COVID-19 pandemic. A new paradigm must encourage World Health Organization (WHO) and World Trade Organization (WTO) members to explicitly consider vaccines as global public goods and adopt a new set of legally binding rules for a fair and unrestricted access in times of pandemic. Initiatives and mechanisms such as COVID-19 Vaccine Global Access Facility (COVAX) have been developed to tackle the pandemic and allow developing countries to access vaccines but most were limited and never reached the expected results. The key role played by the WHO in global health policy needs to be strengthened throughout the revision of the International Health Regulations (IHR). Globalization and health are interconnected: WTO members shall revise the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS Agreement) and grant permanent intellectual property (IP) waivers on vaccines in times of pandemic. Our postulation is that vaccines constitute global public goods; their manufacturing and access must be facilitated and guaranteed by specific rules and mechanisms under the supervision of both the WHO and the WTO. It is, therefore, essential to provide the WHO with new powers and attributions to impose coordinated health policies to combat diseases and global crises such as the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

The COVID-19 outbreak has currently led to serious social and economic consequences. In poor and developing countries, there are more challenges and barriers to tackling the pandemic. The study's aim is to propose a hybrid approach to multiple-criteria decision-making (MCDM) models for determining the most efficient intervention strategies. The methodology is a combination between the Best-Worst Model (BWM) and Group Best-Worst Model (GBWM) to estimate the efficiency score of intervention. Based on the background of knowledge, five groups of stakeholders including Academicians, Entrepreneurs, Commons Residents, Social Workers, Health Workers are considered decision-makers (DMs). A set of nine potential strategies was evaluated and prioritized by all DMs. The findings have shown that different groups of stakeholders prioritized differently the importance of criteria due to their interests. In the context of Vietnam, however, the Availability of Health Systems is prioritized as the most important intervention. The results and proposed model of this paper contributed to MCDM literature as well as a good reference to apply practically in many different countries. [ABSTRACT FROM AUTHOR]

Tuberculosis (TB) is one of the leading infectious causes of death worldwide. The effective management and public health control of this disease depends on early detection and careful treatment monitoring. For many years, the microscopy-based analysis of sputum smears has been the most common method to detect and quantify Mycobacterium tuberculosis (Mtb) bacteria. Nonetheless, this form of analysis is a challenging procedure since sputum examination can only be reliably performed by trained personnel with rigorous quality control systems in place. Additionally, it is affected by subjective judgement. Furthermore, although fluorescence-based sample staining methods have made the procedure easier in recent years, the microscopic examination of sputum is a time-consuming operation. Over the past two decades, attempts have been made to automate this practice. Most approaches have focused on establishing an automated method of diagnosis, while others have centred on measuring the bacterial load or detecting and localising Mtb cells for further research on the phenotypic characteristics of their morphology. The literature has incorporated machine learning (ML) and computer vision approaches as part of the methodology to achieve these goals. In this review, we first gathered publicly available TB sputum smear microscopy image sets and analysed the disparities in these datasets. Thereafter, we analysed the most common evaluation metrics used to assess the efficacy of each method in its particular field. Finally, we generated comprehensive summaries of prior work on ML and deep learning (DL) methods for automated TB detection, including a review of their limitations. [ABSTRACT FROM AUTHOR]

Urban design studio education aims to prepare future urban designers to more effectively understand how cities work and critically engage with the role of design intervention in the built environment. A design studio is an appropriate setting where this can take place. This paper details the design and delivery of a postgraduate urban design studio subject in the MA Urban Design programme at Cardiff University during the COVID-19 pandemic in the UK. We particularly investigate the capacities and challenges of blended learning and teaching, with a primary focus on the experience and perception of students in the context of design studio pedagogy. To this end, we discuss the findings from an online survey of postgraduate urban design students and reflect on their experience and perception of the related learning and teaching activities, assessment, feedback, field study visits, workshops, and digital platforms during the subject delivery period in the 2021–2022 academic year. The outcomes of this paper can inform future practices of blended learning and teaching incorporating a mix of face-to-face and online modes of delivery in relation to design studio education, particularly in the context of unprecedented global health challenges such as the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Background: Mental and behavioral disorders significantly impair psychophysical functioning, leading to challenges in daily activities. The increasing recognition of the importance of mental health in global development goals has resulted in its inclusion in the United Nations' Sustainable Development Goals. The burden of mental disorders has grown worldwide due to demographic changes, with substantial economic and social impacts. Objective: This study aimed to examine the indirect costs of mental disorders in Poland by analyzing the expenditures by the Social Insurance Institution (ZUS) on work incapacity benefits and disability pensions from 2012 to 2023. The goal was to identify trends, dependencies, and the economic impact of policy changes. Material and Methods: Data were collected from ZUS reports on annual expenditures for work incapacity benefits and disability pensions. Advanced statistical methods, including linear regression and Pearson correlation, were employed to analyze trends and relationships. Student's t-tests assessed the statistical significance of the observed trends. Results: The expenditures on benefits for work incapacity due to mental disorders increased significantly over the past decade, particularly from 2020 to 2023, partly due to the COVID-19 pandemic. Short-term absenteeism due to mental disorders accounted for 10.5% of the total sick leave days. A strong positive correlation was found between years and benefit expenditures. Conversely, the disability pension expenditures exhibited a downward trend, potentially reflecting improvements in public health or policy changes. Conclusions: The significant increase in expenditures on benefits related to mental disorders may reflect greater awareness, improved diagnostics, and the impact of the COVID-19 pandemic. In contrast, the decline in disability pension expenditures could suggest improved mental health or effective policy measures. However, it is important to emphasize that the presented data are not the only factor influencing this situation. Multiple variables, including societal, economic, and healthcare system changes, contribute to these trends. Therefore, further research is necessary to fully understand the underlying causes and to guide effective policy development. Regular monitoring and continued investment in mental health are essential to managing indirect costs such as absenteeism and presenteeism efficiently. [ABSTRACT FROM AUTHOR]

The mental well-being of many community members was seriously impacted by COVID-19, with some experiencing the loss of loved ones and others losing jobs due to lockdown-related company cutbacks. There is evidence indicating that many people faced challenges in accessing essential services, including healthcare. This study aimed at investigating the effects of COVID-19 lockdown restrictions among community members of the Vhembe District, in Limpopo Province, South Africa. A qualitative, exploratory design was used for this study. Data were collected from 54 participants through nine focus group interviews with six participants each. This study identified two main themes originating from data analysis: community mental health during COVID-19 lockdown, lockdown regulations, and challenges encountered. The participants discussed the impact of COVID-19 during lockdown. This research underscores the vital necessity of implementing harm reduction strategies and long-term service policies for this group. It also emphasizes the importance of equity, diversity, and inclusion in upholding the rights of marginalized populations. [ABSTRACT FROM AUTHOR]

We aimed to use the digital platform maintained by the local health service providers in Southeast Sweden for integrated monitoring of disparities in vaccination and morbidity during the COVID-19 pandemic. The monitoring was performed in the adult population of two counties (n = 657,926) between 1 February 2020 and 15 February 2022. The disparities monitored were relocated (internationally displaced), substance users, and suffering from a psychotic disorder. The outcomes monitored were COVID-19 vaccination, SARS-CoV-2 test results, and hospitalization with COVID-19. Relocated residents displayed an increased likelihood of remaining unvaccinated and a decreased likelihood of testing as well as increased risks of primary SARS-CoV-2 infection and hospitalization compared with the general population. Suffering from a major psychiatric disease was associated with an increased risk of remaining unvaccinated and an increased risk of hospitalization but a decreased risk of SARS-CoV-2 infection. From the digital monitoring, we concluded that the relocated minority received insufficient protection during the pandemic, suggesting the necessity for comprehensive promotion of overall social integration. Persons with major psychiatric diseases underused vaccination, while they benefitted from proactively provided testing, implying a need for active encouragement of vaccination. Further research is warranted on legal and ethical frameworks for digital monitoring in vaccination programs. [ABSTRACT FROM AUTHOR]

The unprecedented introduction and spread of SARS-CoV-2, responsible for the COVID-19 epidemic, had many varied and unanticipated consequences for the United States and other countries. In addition to the direct effects of human infection, multiple industries, commodities, and jobs were impacted. This review describes the impact on an academic institution, with a chronological account of events related to constantly changing perceptions and understanding of the pandemic. Although a personal account, the objective is to document how leadership was able to adjust to circumstances in order to support research activities, student education, and the academic goals of our land grant university. It is hoped that these examples will inspire and better prepare us for a subsequent event and avoid what for the COVID-19 situation might be summarized as a progression from procrastination-pandemic-panic-pandemonium-endemic [ABSTRACT FROM AUTHOR]

Skepticism of COVID-19 has consequences for public health. We examined several variables that we reasoned were related to skepticism, including demographic factors, people's perceptions and experiences related to COVID-19, and social media usage. The sample consisted of 294 participants recruited in April of 2020. Participants filled out a survey that included questions related to demographics, social media use, COVID-19 anxiety, COVID-19 interference, and COVID-19 skepticism. In the main, biological sex, ethnicity, and social media use were not significantly associated with skepticism regarding COVID-19. Alternatively, older participants and those who experienced greater anxiety related to the pandemic were less skeptical of COVID-19. Interestingly, people who experienced more interference in their lives because of COVID-19 were more skeptical of the pandemic. Finally, social media use moderated the influence of anxiety and interference on skepticism. The negative effect of anxiety on skepticism became weaker as people's use of social media increased. The positive effect of interference related to COVID-19 on skepticism became stronger as people used more social media. Our findings underscore the importance of personal beliefs, attitudes, and experiences when explaining skepticism of the pandemic. [ABSTRACT FROM AUTHOR]

This study aims to explore the experiences of frontline hospital nurses over 18 months of struggle with the COVID-19 pandemic. The qualitative thematic analysis method was applied. Twenty-three nurses from nine tertiary hospitals in Israel were interviewed using semi-structured interviews via the ZOOM platform between August and September 2021. Interviews were video recorded and transcribed verbatim. Trustworthiness was assured by using qualitative criteria and the COREQ checklist. Results: Both negative and positive experiences were reported: threat and uncertainty along with awareness of their important mission; anxiety and helplessness alongside courage and heroism. Personal management strategies emerged: regulating overwhelming emotions and managing work–life balance. Team support emerged as the most meaningful source of nurses' struggle with the pandemic. A sense of intimacy and solidarity enabled the processing of the shared traumatic experiences. Conclusions: A deeper understanding of nurses' experiences through the pandemic was gained. Informal peer support has proven effective in struggling with the events. Formal interventions, such as affective–cognitive processing of traumatic events, need to be integrated into practice. Healthcare policymakers should promote better support for caregivers, which will contribute to their well-being and impact the quality of care they provide. [ABSTRACT FROM AUTHOR]

Background: Bullying is a global public health problem with severe adverse effects on behavioral health. Understanding the predictors of victimization by bullying is essential for public policy initiatives to respond to the problem effectively. In addition to traditional in-person bullying, electronic bullying has become more prevalent due to increasing social interaction and identity formation in virtual communities. This study aims to determine the predictors of in-school and electronic bullying. Methods: We employed multivariable logistic regression to analyze a nationally representative sample of 17,232 high school students in the United States, the 2021 Youth Risk Behavior Surveillance System national component. The survey was conducted during the COVID-19 pandemic, from September through December 2021. The factors examined included sociodemographic characteristics (age, gender, race), appearance (obesity), physically active lifestyles (being physically active, spending a long time on digital games), and risk-taking behavior (using marijuana). Results: Our results indicated that sociodemographic characteristics were strong predictors of being bullied in school and electronically. Being obese is more likely to result in bullying in school (AOR = 1.32, p = 0.003) and electronically (AOR = 1.30, p = 0.004). Adolescent students showing marijuana use had higher odds of being bullied in school (AOR = 2.15, p < 0.001) and electronically (AOR = 1.81, p < 0.001). While spending a long time on digital devices raises the risk of being electronically bullied (AOR = 1.25, p = 0.014), being physically active is not associated with being bullied. Neither of the two lifestyle factors was associated with in-school bullying. Conclusions: Interventions addressing violence among adolescents can benefit from empirical evidence of risk factors for bullying victimization in high school. [ABSTRACT FROM AUTHOR]

(1) Background: An online survey-based observational cross-sectional study aimed at elucidating the experience and attitudes of an unstructured population regarding diagnostic imaging. (2) Methods: Invitations to participate were distributed using mixed-mode design to deidentified residents aged 18 years and older. Main outcome measures included morbidity structure and incidence of diagnostic imaging administrations. (3) Results: Respondents (n = 1069) aged 44.3 ± 14.4 years; 32.8% suffered from cardiovascular diseases (CVD); 9.5% had chronic respiratory pathology; 28.9% considered themselves healthy. Respondents with COVID-19 history (49.7%) reported higher rates of computed tomography (CT) (p < 0.0001), magnetic resonance imaging (MRI) (p < 0.001), and ultrasound (p < 0.05). COVID-19 history in CVD respondents shifted imaging administrations towards CT and MRI (p < 0.05). Every tenth respondent received MRI, CT, and ultrasound on a paid basis; 29.0% could not pay for diagnostic procedures; 13.1% reported unavailable MRI. Professional status significantly affected the pattern of diagnostic modalities (p < 0.05). MRI and CT availability differed between respondents in urban and rural areas (p < 0.0001). History of technogenic events predisposed responders to overestimate diagnostic value of fluorography (p < 0.05). (4) Conclusions: Preparedness to future pandemics requires the development of community-based outreach programs focusing on people's awareness regarding medical imaging safety and diagnostic value. [ABSTRACT FROM AUTHOR]

The COVID-19 outbreak has impacted many daily activities and services we depend on. Due to changes in waste quantity and types, solid waste management (SWM) services such as waste collection, transportation, and treatment/disposal suffered. Global rules and mandates were issued to address these changes and the COVID-19 pandemic. This mini review examines seven countries and summarises the pandemic's effects on municipal solid waste (MSW) and medical waste (MW) generation in terms of amount and composition, the SWM sector's challenges, and government or other SWM guidelines and management measures. The data are analysed to provide suggestions for stakeholders on SWM worker protection, waste segregation, and recycling. This article identified that extending MW incineration, separating infectious waste at the source, and discontinuing recycling for infection control are the best ways to manage solid waste. The waste management system's readiness was crucial to the pandemic response. Thus, countries like China, which has a robust SWM system, were able to contain the crisis and restrict danger, while others with weaker systems struggled. Additionally, the study highlights the importance of revising waste management policies and developing crisis response strategies that integrate flexible, innovative solutions to adapt quickly to changing waste demands and ensure public health and environmental protection during global health crises. [ABSTRACT FROM AUTHOR]

Amid the COVID-19 pandemic, understanding the spatial and temporal dynamics of the disease is crucial for effective public health interventions. This study aims to analyze COVID-19 data in Peru using a Bayesian spatio-temporal generalized linear model to elucidate mortality patterns and assess the impact of vaccination efforts. Leveraging data from 194 provinces over 651 days, our analysis reveals heterogeneous spatial and temporal patterns in COVID-19 mortality rates. Higher vaccination coverage is associated with reduced mortality rates, emphasizing the importance of vaccination in mitigating the pandemic's impact. The findings underscore the value of spatio-temporal data analysis in understanding disease dynamics and guiding targeted public health interventions. [ABSTRACT FROM AUTHOR]

Advantageous variants of the SARS-CoV-2 virus have arisen through mutations, particularly on a single amino acid basis. These point mutations can cause changes in the structure of SARS-CoV-2 and affect the efficiency of interaction with the ACE2 protein. N501Y and E484K mutations affecting binding by ACE2 have been widely observed. This study aimed to predict SARS-CoV-2 mutations that could be as effective as N501Y and E484K and pose a danger due to their high contagiousness. Experimental data on SARS-CoV-2 and ACE2 binding and stability were associated with different amino acid properties and integrated into machine learning and computational biology techniques. As a result of the analyses made in algorithms, N501M, Q414A, N354K, Q498H and N460K have been predicted to be likely to have a dangerous effect. The N501W mutations are most likely to have dangerous effects on the spread of the coronavirus. We suggest that attention should be paid to the position 501 mutation since this position is repeated in the lists of mutations that the algorithm detected as dangerous. G446, G447, Y505, T500, Q493, Y473, and G476 were determined as the positions where dangerous variants could be seen as a result of the analyses of the multiple interaction data created with the ACE2 and RBD interaction data. The 13 dangerous positions and mutations have been detected to accurately describe the position of the mutations caused by the Omicron variant and were among the known dangerous mutations similar to those occurring at Q498, G446, Y505 and Q493 positions. [ABSTRACT FROM AUTHOR]

At the beginning of July 2022, when public health restrictions were lifted, we deployed a country-wide e-survey about how older people were managing now after COVID-19 pandemic-related anxiety. Our responder sample was stratified by age, sex, and education to approximate the Canadian population. E-survey responders were asked to share open-text messages about what contemporaries could do to live less socially isolated lives at this tenuous turning point following the pandemic as the COVID-19 virus still lingered. Contracting COVID-19 enhanced older Canadians' risk for being hospitalized and/or mortality risk. Messages were shared by 1189 of our 1327 e-survey responders. Content analysis revealed the following four calls to action: (1) cultivating community; (2) making room for what is good; (3) not letting your guard down; and (4) voicing out challenges. Responders with no chronic illnesses were more likely to endorse making room for what is good. Those with no diploma, degree, or certificate least frequently instructed others to not let their guard down. While COVID-19 is no longer a major public health risk, a worrisome proportion of older people across the globe are still living socially isolated. We encourage health and social care practitioners and older people to share messages identified in this study with more isolated persons. [ABSTRACT FROM AUTHOR]

Through the lenses of teaching and teacher education, this article explores the evolving impacts of the COVID-19 pandemic on education. Challenges associated with COVID-19 in schooling, learning, teaching, and teacher education are highlighted to showcase ongoing systemic inadequacies and emerging opportunities for change. Cultural assets are presented as a theoretical framework for bridging gaps between individualistic and collective approaches to learning. Specific classroom projects that foster cultural assets are connected with a larger educational movement for Ethnic Studies in public education in the United States to provide examples of ways that education can evolve in more equitable ways into the future. [ABSTRACT FROM AUTHOR]

Pregnant women, considered at risk of COVID-19 complications because of the immunosuppressive and physiological changes in pregnancy, were initially hesitant to receive COVID-19 vaccination. This study assessed the association between COVID-19 vaccination uptake, psychological determinants (health belief model (HBM) constructs, anticipated regret, trust in health authorities), and provider recommendation among pregnant women in Kenya. Using data from a cross-sectional study, we conducted correlations, binary and multivariable logistic regressions, and moderation analysis to explore relationships between COVID-19 vaccination and psychological variables. Of the 115 pregnant women, 64% reported receiving provider recommendations for COVID-19 vaccination. There were weak positive correlations between the variables. Participants with high anticipated regret scores were more likely to receive COVID-19 vaccination compared to their peers (AOR = 4.27; 95% CI, 1.23–14.85), while provider recommendation increased the odds of COVID-19 vaccination (OR = 3.70; 95% CI, 1.53–8.92). None of the HBM constructs were significantly associated with COVID-19 vaccination. The findings related to psychological variables require the reconceptualization of theory-informed interventions to streamline healthcare provision. The critical role of healthcare providers in COVID-19 vaccination recommendations suggests a need to empower health practitioners with effective communication skills to improve maternal health outcomes. [ABSTRACT FROM AUTHOR]

Background: The pandemic caused by the SARS-CoV-2 virus demonstrated the importance of prevention through a healthy diet and lifestyle, the most vulnerable people being those with severe chronic conditions, those who are overweight, and those with an unbalanced immune system. This study aims to examine the nutritional status and lifestyle behaviors of the Romanian population. Methods: The evaluation of the eating habits and lifestyle of the Romanian population in the post-pandemic period was carried out based on a cross-sectional observational study with the help of a questionnaire. Results: A total of 4704 valid answers were registered (3136 female and 1568 male respondents). Among the respondents, most of them belong to the young population, 2892 between the ages of 18 and 40, i.e., 61.5%. Most male respondents are overweight (1400) and obese (780). Most respondents indicated a tendency to consume 1–2 meals per day irregularly (p = 0.617). Only 974 respondents adopted a healthy diet, and 578 a healthy lifestyle. Conclusions: The present study reports low adherence to a healthy diet (20.7%) and healthy lifestyle (12.28%), especially among the young population (<30 years). In the current context, it reports a reduced tendency to consume vegetables and fruits among the population, below the daily average recommended by the nutrition guidelines, a tendency towards sedentary behavior, and even deficient hydration of some of the respondents; these negative aspects can create a long-term series of nutritional and psycho-emotional imbalances. Our results evidence that complex surveys among the population are regularly required to investigate nutritional or lifestyle deficiencies; moreover, it could be helpful in further educational measures in nutrition, food, and environmental safety. [ABSTRACT FROM AUTHOR]

In the present study, I developed and tested an R module to explore the best models within the context of multilevel modeling in research in public health. The module that I developed, explore.models, compares all possible candidate models generated from a set of candidate predictors with information criteria, Akaike information criterion (AIC), and Bayesian information criterion (BIC), with multiprocessing. For testing, I ran explore.models with datasets analyzed in three previous studies in public health, which assumed candidate models with different degrees of model complexity. These three studies examined the predictors of psychological well-being, compliance with preventive measures, and vaccine intent during the COVID-19 pandemic. After conducting model exploration with explore.models, I cross-validated the nomination results with calculated model Bayes Factors to examine whether the model exploration was performed accurately. The results suggest that explore.models using AIC and BIC can nominate best candidate models and such nomination outcomes are supported by the calculated model Bayes Factors. In particular, all the identified models are superior to the full models in terms of model Bayes Factors. Also, by employing AIC and BIC with multiprocessing, explore.models requires a shorter processing time than model Bayes Factor calculations. These results indicate that explore.models is a reliable, valid, and feasible tool to conduct data-driven model exploration with datasets collected from multiple groups in research on health psychology and education. [ABSTRACT FROM AUTHOR]

The article discusses the launch and ongoing success of the MDPI journal titled "COVID," which was created to raise awareness of research on the new disease caused by the SARS-CoV-2 infection. The journal has published numerous articles on various aspects of COVID-19, contributing to our understanding of the disease's complexity and impact on human health. It covers a wide range of topics, including molecular and clinical research, public health studies, and the economic and environmental impact of coronaviruses. The journal has maintained rigorous editorial standards and has published articles from authors in different countries. It is expected to continue making valuable contributions to the field of complex diseases like COVID-19 in the future. [Extracted from the article]

Students' learning experiences and perceptions are markedly influenced by the use of digital technology during the COVID-19 pandemic. Exploring students' perception of blended online learning, amid the adaptations of the higher education sector in the wake of uncertainty, has become more critical than ever. This paper reflects on the experience of learning and teaching the Research Methods and Techniques subject in the postgraduate programme of MA Urban Design at Cardiff University during COVID-19 in the UK. To do so, we designed and carried out an online survey to explore students' perception of online teaching and learning activities, feedback and assessment, and digital platforms based on their experience during the subject delivery period in the 2020–2021 academic year. One of the significant findings of this paper was that students agreed with the impact of eye contact on their virtual learning experience but as long as this was aligned with their rights to see others, including their peers and instructors, rather than reciprocal rights to be seen. In addition, students felt that facilitating synchronous communication through effective interaction among diverse peers has been quite challenging in small-group online reading seminars. The majority of respondents also reported that attending live online lectures was more helpful than watching pre-recorded lectures. Online formative feedback and synchronous interim reviews also allowed students to reflect on their progress and develop their projects further before their summative assessment. The outcomes of this paper can effectively assist educators who consider delivering programmes, adopting a blended online learning environment design model, in the post COVID-19 era. The findings of this study can also provide guidance for further developments and improvements in using digital technology and blended online learning in urban design education and pedagogy. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has had a profound impact on various aspects of our lives, affecting personal, occupational, economic, and social spheres. Much has been learned since the early 2020s, which will be very useful when the next pandemic emerges. In general, mobility and virus spread are strongly related. However, most studies analyze the impact of COVID-19 on mobility, but not much research has focused on analyzing the impact of mobility on virus transmission, especially from the point of view of monitoring virus incidence, which is extremely important for making sound decisions to control any epidemiological threat to public health. As a result of a thorough analysis of COVID-19 and mobility data, this work introduces a novel measure, the Infection Ratio (IR), which is not sensitive to underestimation of positive cases and is very effective in monitoring the pandemic's upward or downward evolution when it appears to be more stable, thus anticipating possible risk situations. For a bounded spatial context, we can infer that there is a significant threshold in the restriction of mobility that determines a change of trend in the number of infections that, if maintained for a minimum period, would notably increase the chances of keeping the spread of disease under control. Results show that IR is a reliable indicator of the intensity of infection, and an effective measure for early monitoring and decision making in smart cities. [ABSTRACT FROM AUTHOR]

Although immunization is one of the most successful and cost-effective interventions that prevents millions of infant and child deaths yearly, it has failed to achieve its intended goals in some low-income countries. Yemen is currently experiencing the most extreme humanitarian crisis globally, which has affected health and worsened its economy and political governance instability. There are few reports on Yemeni vaccination statuses. The present study aimed to investigate the effect of the public health emergency crises on childhood immunization in Yemen. A retrospective descriptive study was conducted in the Coastal Hadhramaut Governorate, Yemen. Secondary data from governorate annual reports for 2013–2020 were extracted. The assessment of the annual immunization coverage rate according to each vaccine was tabulated. The analysis revealed that the 2013–2019 vaccination coverage in Coastal Hadhramaut demonstrated an increasing trend. However, vaccination coverage decreased for all vaccines in 2015–2016 and 2020. Although all three doses of the pentavalent vaccine demonstrated >85% coverage in all years, the coverage of the first and second doses decreased in 2016, and the coverage of all doses decreased in 2020 during the COVID-19 pandemic. Public health emergencies negatively affected routine immunization coverage in Yemen. The trend correlated with the humanitarian crisis and other research findings in Yemen. The national response to public health threats during emergency crises must involve strengthening the program for monitoring and evaluating vaccine-preventable diseases. [ABSTRACT FROM AUTHOR]