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The COVID-19 pandemic has presented a serious challenge to the hepatology community, particularly healthcare professionals and patients. While the rapid development of safe and effective vaccines and treatments has improved the clinical landscape, the emergence of the omicron variant has presented new challenges. Thus, it is timely that the European Association for the Study of the Liver provides a summary of the latest data on the impact of COVID-19 on the liver and issues guidance on the care of patients with chronic liver disease, hepatobiliary cancer, and previous liver transplantation, as the world continues to deal with the consequences of the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Illustration of the assembly, distribution, and point-of-care use of a rapidly-deployable, cell-free COVID-19 biosensor: 1) Assemble: Assembling CFPS reagents by mixing E. coli lysate, murine RNase Inhibitor (mRI), energy sources, cofactors, and toehold switch riboregulator plasmid. 2) Print: aliquoting CFPS reagents onto paper substrates housed in a plastic test cassette. 3) Dehydrate: lyophilizing CFPS reagents on paper substrates. 4) Distribute. 5) Saliva sample: applying saliva samples onto cassette without pretreatments. 6) Reaction: bioluminescent protein expression in presence of target RNA (+), or ribosome detachment in absence of target RNA (-). 7) Visual result: bioluminescent output in the presence of target RNA and NanoLuc luciferase expression. [Display omitted] • Progress towards a rapid, low-cost, point-of-care Covid-19 biosensor. • Engineered toehold switches respond to saliva enriched with SARS-CoV-2 RNA. • mRI enables robust paper-based cell-free protein synthesis in the presence of saliva. • Plastic cassette houses paper-based diagnostic test for simple distribution and use. The COVID-19 pandemic has illustrated the global demand for rapid, low-cost, widely distributable and point-of-care nucleic acid diagnostic technologies. Such technologies could help disrupt transmission, sustain economies and preserve health and lives during widespread infection. In contrast, conventional nucleic acid diagnostic procedures require trained personnel, complex laboratories, expensive equipment, and protracted processing times. In this work, lyophilized cell-free protein synthesis (CFPS) and toehold switch riboregulators are employed to develop a promising paper-based nucleic acid diagnostic platform activated simply by the addition of saliva. First, to facilitate distribution and deployment, an economical paper support matrix is identified and a mass-producible test cassette designed with integral saliva sample receptacles. Next, CFPS is optimized in the presence of saliva using murine RNase inhibitor. Finally, original toehold switch riboregulators are engineered to express the bioluminescent reporter NanoLuc in response to SARS-CoV-2 RNA sequences present in saliva samples. The biosensor generates a visible signal in as few as seven minutes following administration of 15 μL saliva enriched with high concentrations of SARS-CoV-2 RNA sequences. The estimated cost of this test is less than 0.50 USD, which could make this platform readily accessible to both the developed and developing world. While additional research is needed to decrease the limit of detection, this work represents important progress toward developing a diagnostic technology that is rapid, low-cost, distributable and deployable at the point-of-care by a layperson. [ABSTRACT FROM AUTHOR]

[Display omitted] • M-GQDs exhibit excellent performance in distinguishing and detecting antibiotics. • Special phenomena are presented when various kinds of antibiotics are added with different mechanisms. • The probe shows low LOD for DOX, PEF and LEV of 39.3 nM, 48.6 nM and 35.1 nM. • A 3D μPAD-based platform is proposed for real-time monitoring antibiotics. For antibiotics misuse since the global outbreak of COVID 19, a novel strategy for discriminating and detecting antibiotics is proposed based on the graphene quantum dots with multi-doped heteroatoms including F, N and P (M-GQDs), which exhibit blue emission (419.0 nm) under the excitation of 336.0 nm. Specifically, the fluorescence of M-GQDs is quenched by tetracyclines (TCs) owing to inner filter effect (IFE) and enhanced by alkane-modified fluoroquinolones (AFQs), which is attributed to restricted conformational rotation based on π-π stacking, hydrogen-bonding and electrostatic interactions. Meanwhile, the electron-accepting property of oxazine ring in oxazine-modified fluoroquinolones (OFQs) increases emission peak at 498.0 nm and decreases emission peak at 419.0 nm as the color changes from blue to cyan. Moreover, a cascade system integrated with 3D microfluidic paper‐based analytical device (3D-μPAD) is applied successfully for visually distinguishing three antibiotics, which shows great potential and versatility of M-GQDs for food safety monitoring. [ABSTRACT FROM AUTHOR]

[Display omitted] • A novel ChF/ZnO/CNT nano-hybrid was fabricated for detection of COVID-19. • Paper based aptasensor with colorimetric detection approach was developed. • Oxidation of TMB substrate by biosensor was detectable by naked eye sensitively. • The LOD of method was 0.05 pg/mL in colorimetric and 8 pg/mL in paper-based platform. Corona Virus Disease 2019 (COVID-19) as the infectious disease caused the pandemic disease around the world through infection by SARS-CoV-2 virus. The common diagnosis approach is Quantitative RT-PCR (qRT-PCR) which is time consuming and labor intensive. In the present study a novel colorimetric aptasensor was developed based on intrinsic catalytic activity of chitosan film embedded with ZnO/CNT (ChF/ZnO/CNT) on 3,3′,5,5′-tetramethylbenzidine (TMB) substrate. The main nanocomposite platform was constructed and functionalized with specific COVID-19 aptamer. The construction subjected with TMB substrate and H 2 O 2 in the presence of different concentration of COVID-19 virus. Separation of aptamer after binding with virus particles declined the nanozyme activity. Upon addition of virus concentration, the peroxidase like activity of developed platform and colorimetric signals of oxidized TMB decreased gradually. Under optimal conditions the nanozyme could detect the virus in the linear range of 1–500 pg mL and LOD of 0.05 pg mL. Also, a paper-based platform was used for set up the strategy on applicable device. The paper-based strategy showed a linear range between 50 and 500 pg mL with LOD of 8 pg mL. The applied paper based colorimetric strategy showed reliable results for sensitive and selective detection of COVID-19 virus with the cost-effective approach. [ABSTRACT FROM AUTHOR]

According to a recent World Health Organization estimate, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, which originated in China in 2019, has spread globally, infecting nearly 100 million people worldwide by January 2021. Patients with chronic liver diseases (CLD), particularly cirrhosis, hepatobiliary malignancies, candidates for liver transplantation, and immunosuppressed individuals after liver transplantation appear to be at increased risk of infections in general, which in turn translates into increased mortality. This is also the case for SARS-CoV-2 infection, where patients with cirrhosis, in particular, are at high risk of a severe COVID-19 course. Therefore, vaccination against various pathogens including SARS-CoV-2, administered as early as possible in patients with CLD, is an important protective measure. However, due to impaired immune responses in these patients, the immediate and long-term protective response through immunisation may be incomplete. The current SARS-CoV-2 pandemic has led to the exceptionally fast development of several vaccine candidates. A small number of these SARS-CoV-2 vaccine candidates have already undergone phase III, placebo-controlled, clinical trials in healthy individuals with proof of short-term safety, immunogenicity and efficacy. However, although regulatory agencies in the US and Europe have already approved some of these vaccines for clinical use, information on immunogenicity, duration of protection and long-term safety in patients with CLD, cirrhosis, hepatobiliary cancer and liver transplant recipients has yet to be generated. This review summarises the data on vaccine safety, immunogenicity, and efficacy in this patient population in general and discusses the implications of this knowledge on the introduction of the new SARS-CoV-2 vaccines. [ABSTRACT FROM AUTHOR]

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has become pandemic, reaching almost one million death worldwide. At present standard treatment for coronavirus disease 2019 (COVID-19) is not well defined because the evidence, either from randomized or observational studies, with conflicting results, has led to rapid changes in treatment guidelines. Our aim was to narratively summarize the available literature on the management of COVID-19 in order to combine current evidence and interpretation of the data by experts who are treating patients in the frontline setting. The panel conducted a detailed review of the literature and eventual press releases from randomized clinical trials for each possible available treatment. Inductive PubMed search waws performed for publications relevant to the topic, including all clinical trials conducted. The result was a flowchart with treatment indications for patients with COVID-19. After 6 months of a pandemic situation and before a possible second coronavirus wave descends on Europe, it is important to evaluate which drugs proved to be effective while also considering that results from many randomized clinical trials are still awaited. Indeed, among treatments for COVID-19, only glucocorticoids have resulted in an association with a significant decrease in mortality in published randomized controlled trials. New therapeutic strategies are urgently needed. [ABSTRACT FROM AUTHOR]

[Display omitted] • A rotational paper-based analytical device was designed for differential detection of SARS-CoV-2 and influenza A H1N1 virus. • The tetrahedral DNA framework could fix aptamer in a straightforward direction and well-defined spacing. • The strong affinity of aptamer toward target S protein and H1N1 ensured the specificity of this strategy. • The developed platform exhibited excellent analysis performance in terms of simple, rapid, low cost, disposability and high sensitivity. Coronavirus disease 2019 (COVID-19) and influenza A are two respiratory infectious diseases with similar clinical manifestations. Because of the complex global epidemic situation of COVID-19, the distinction and diagnosis of COVID-19 and influenza A infected persons is crucial for epidemic prevention and control. In this study, tetrahedral DNA framework (TDF) was combined with a rotational paper-based analytical device, and the color change generated by the reaction between horseradish peroxidase (HRP) and 3,3′5,5′-tetramethylbenzidine (TMB)–H 2 O 2 was used for grayscale signal analysis by ImageJ software. The quantitative detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza A H1N1 virus were realized simultaneously. Under the optimal conditions, the paper-based analytical device showed a good linear relationship between the two viruses in the range of 10-14-10-8g/mL, and the two viruses were not affected by cross reaction. This sensor provides a convenient and reliable method for clinical rapid differentiation and diagnosis of COVID-19 and influenza A. [ABSTRACT FROM AUTHOR]

Objective: Communication in healthcare has influenced and been influenced by the COVID-19 pandemic. In this position paper, we share observations based on the latest available evidence and experiential knowledge that have emerged during the pandemic, with a specific focus on policy and practice.Methods: This is a position paper that presents observations relating to policy and practice in communication in healthcare related to COVID-19.Results: Through our critical observations as experts in the field of healthcare communication, we share our stance how healthcare communication has occured during the pandemic and suggest possible ways of improving policy and professional practice. We make recommendations for policy makers, healthcare providers, and communication experts while also highlighting areas that merit further investigation regarding healthcare communication in times of healthcare crises.Conclusion: We have witnessed an upheaval of healthcare practice and the development of policy on-the-run. To ensure that policy and practice are evidence-based, person-centred, more inclusive and equitable, we advocate for critical reflection on this symbiotic relationship between COVID-19 and the central role of communication in healthcare.Practice Implications: This paper provides a summary of the key areas for development in communication in healthcare during COVID-19. It offers recommendations for improvement and a call to review policies and practice to build resilience and inclusive and equitable responsiveness in communication in healthcare. [ABSTRACT FROM AUTHOR]

COVID-19 is a highly diffuse respiratory infection caused by severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2). Currently, quantitative real-time polymerase chain reaction (qRT-PCR) technology is commonly used in clinical diagnosis of COVID-19. However, this method is time-consuming and labor-intensive, which is limited in clinical application. Here, we propose a new method for the ultrasensitive and visual detection of SARS-CoV-2 viral nucleic acid. The assay integrates with a paper device and highly efficient isothermal amplification technology - Netlike rolling circle amplification (NRCA), which can reach a limit of detection of 4.12 aM. The paper-based NRCA owns advantages of specificity, portability, visualization and low-cost. Therefore, this method can effectively meet the requirements of point-of-care testing, providing a novel molecular detection technology for clinical diagnosis of COVID-19 and promoting the development of NRCA devices. [Display omitted] ● A paper biosensor was used for ultrasensitive and visual detection of SARS-CoV-2. ● Amplified analysis has been achieved by netlike rolling circle amplification. ● The paper-based NRCA owns advantages of portability, visualization and low-cost. ● The assay can effectively meet the requirements of point-of-care diagnosis of COVID-19. [ABSTRACT FROM AUTHOR]

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a serious threat to human health. Current methods such as reverse transcription polymerase chain reaction (qRT-PCR) are complex, expensive, and time-consuming. Rapid, and simple screening methods for the detection of SARS-CoV-2 are critically required to fight the current pandemic. In this work we present a proof of concept for, a simple optical sensing method for the screening of SARS-CoV-2 through its spike protein subunit S1. The method utilizes a target-specific extractor chip to bind the protein from the biological specimens. The disulfide bonds of the protein are then reduced into a biothiol with sulfhydryl (SH) groups that react with a blue-colored benzothiazole azo dye-Hg complex (BAN-Hg) and causes the spontaneous change of its blue color to pink which is observable by the naked eye. A linear relationship between the intensity of the pink color and the logarithm of reduced S1 protein concentration was found within the working range 130 ng.mL−1-1.3 pg mL−1. The lowest limit of detection (LOD) of the assay was 130 fg mL−1. A paper based optical sensor was fabricated by loading the BAN-Hg sensor onto filter paper and used to screen the S1 protein in spiked saliva and patients' nasopharyngeal swabs. The results obtained by the paper sensor corroborated with those obtained by qRT-PCR. The new paper-based sensing method can be extended to the screening of many viruses (e.g. the human immunodeficiency virus, the human polyomavirus, the human papilloma virus, the adeno associated viruses, the enteroviruses) through the cysteine residues of their capsid proteins. The new method has strong potential for screening viruses at pathology labs and in remote areas that lacks advanced scientific infrastructure. Further clinical studies are warranted to validate the new sensing method. [Display omitted] • A proof of concept on an optical sensor for screening viruses through the capsid proteins. • The sensor was used to detect SARS-CoV-2 through the S1 protein. • The free cysteine of the protein causes the sensor color to change spontaneously. • The sensor detected the protein in biological specimens down to 130 fg mL−1 • The sensing method is rapid when compared to qRT-PCR. [ABSTRACT FROM AUTHOR]

Complementing the well-established evidence base on health inequalities experienced by migrants, refugees and asylum seekers in the UK; we examined the extent to which their right to equal non-discriminatory access to health services (promotive, preventive, curative) was upheld during the COVID-19 pandemic. Arksey and O′Malley's scoping review framework. A comprehensive search was conducted on Medline, PubMed, and CINAHL using detailed MESH terms, for literature published between 01 January 2020 and 01 January 2024. The process was supported by a ten-page Google search and hand searching of reference lists. 42 records meeting the inclusion criteria were charted, coded inductively and analysed thematically in an integrated team-based approach. Dissonance between immigration regulation and health governance is illustrated in four themes: Health systems leveraged to (re)enforce the hostile environment; Dissonance between health rights on paper and in practice; Structural failures to overcome communication and digital exclusion; and COVID-19 vaccine (in)equity exacerbated fear, mistrust and exclusion. Migrants, refugees and asylum seekers encountered substantial individual, structural and policy-level barriers to accessing healthcare in the UK during COVID-19. Insecure immigration status, institutional mistrust, data-sharing and charging fears, communication challenges and digital exclusion impacted heavily on their ability to access healthcare in an equitable non-discriminatory manner. An inclusive and innovative health equity and rights-based responses reaching all migrants, refugees and asylum seekers are warranted if the National Health Service is to live up to its promise of ' leaving no one behind' in post-pandemic and future responses. [ABSTRACT FROM AUTHOR]

As the COVID-19 epidemic continues, concerns about long-term health impacts, specifically long COVID, persist. While the prevalence and symptomatology of long COVID have been explored in various global contexts, large-scale cohort studies in Japan remain limited, especially after the advent of the Omicron variant. In this observational study, 4,047 residents with a history of COVID-19 living in Toyonaka City, Osaka Prefecture, were assessed for long COVID symptoms using the VOICE mobile application and a paper survey. Respondents provided demographic and health information, as well as information regarding COVID-19 infection and subsequent symptoms. A Cox proportional hazard regression model was used to estimate the multivariable-adjusted hazard ratios and 95 % confidence intervals for overall morbidity of long COVID symptoms. The survey found that 5.2 % of participants reported the persistence of one or more symptoms at 30 days post-onset. Fatigue was the most commonly reported symptom (1.75 %), followed by hair loss (1.41 %), and cough (1.28 %). Factors associated with an increased risk of experiencing long COVID symptoms included BMI, severe illness during the acute phase, and infection with certain COVID-19 variant strains, including Alpha, Delta, and Omicron. However, the incidence rate of long COVID appears to be decreasing with the dominance of the Omicron variant. This large-scale study from Toyonaka City suggests a 5.2 % prevalence rate for persistent COVID-19 symptoms 4 weeks post-infection, potentially indicating a lower prevalence of long COVID in Japanese populations after the rise of the Omicron variant. [ABSTRACT FROM AUTHOR]

This study aims to use a paper-based sensor array for point-of-care detection of COVID-19 diseases. Various chemical compounds such as nanoparticles, organic dyes and metal ion complexes were employed as sensing elements in the array fabrication, capturing the metabolites of human serum samples. The viral infection caused the type and concentration of serum compositions to change, resulting in different color responses for the infected and control samples. For this purpose, 118 serum samples of COVID-19 patients and non-COVID controls both men and women with the age range of 14–88 years were collected. The serum samples were initially subjected to the sensor, followed by monitoring the variation in the color of sensing elements for 5 min using a scanner. By taking into consideration the statistical information, this method was capable of discriminating COVID-19 patients and control samples with 83.0% accuracy. The variation of age did not influence the colorimetric patterns. The desirable correlation was observed between the sensor responses and viral load values calculated by the PCR test, proposing a rapid and facile way to estimate the disease severity. Compared to other rapid detection methods, the developed assay is cost-effective and user-friendly, allowing for screening COVID-19 diseases reliably. [Display omitted] • An optoelectronic tongue was fabricated by non-specific receptors for detection of serum metabolites. • The sensor was used to discriminate patients infected by COVID-19 from healthy controls. • The discrimination analysis was achieved by comparison between the total responses of patient and healthy classes. • The severity of the disease and the viral load associated with PCR analysis were estimated. [ABSTRACT FROM AUTHOR]

Coronavirus disease 2019 (COVID-19) has been recognized as a global pandemic outbreak, opening the most severe socio-economic crisis since World War II. Different scientific activities have been emerged in this global scenario, including the development of innovative analytical tools to measure nucleic acid, antibodies, and antigens in the nasopharyngeal swab, serum, and saliva for prompt identification of COVID-19 patients and to evaluate the immune response to the vaccine. The detection of SARS-CoV-2 in saliva remains a challenge for the lack of sufficient sensitivity. To address this issue, we developed a novel paper-based immunoassay using magnetic beads to support the immunological chain and 96-well wax-printed paper plate as a platform for color visualization by using a smartphone combined with Spotxel free-charge app. To assess the reliability of the measurement of SARS-CoV-2 in saliva, untreated saliva was used as a specimen and the calibration curve demonstrated a dynamic range up to 10 μg/mL, with a detection limit equal to 0.1 μg/mL. The effectiveness of this sustainable analytical tool in saliva was evaluated by comparing the data with the nasopharyngeal swab specimens sampled by the same patients and tested with Real-Time PCR reference method, founding 100% of agreement, even in the case of high Cycle Threshold (CT) numbers (low viral load). Furthermore, the positive saliva samples were characterized by the next-generation sequencing method, demonstrating the capability to detect the Delta variant, which is actually (July 2021) the most relevant variant of concern. • Colorimetric smartphone-assisted immunosensor for detection of SARS-CoV-2 in saliva. • Multiplex detection by paper-based immunosensor based on 96-well wax-printed paper. • Capability to detect the Delta variant, positive samples characterized by the NGS method. [ABSTRACT FROM AUTHOR]

• A new index is proposed to quantify the economic impact of COVID-19 on countries. • The index shows an extreme heterogeneity in the economic impact of COVID-19. • The factors behind this heterogeneity are explored using regression techniques. • The analysis includes pandemic-specific factors and structural factors. • Results stress the importance of industrial development for resilience. The socioeconomic impact of COVID-19 has been widely uneven across regions and countries, reflecting underlying differences in their resilience against shocks. This paper tries to explain this heterogeneity by identifying factors of resilience and vulnerability. To fully capture the impact of the crisis on economic activity, we propose a novel index of GDP loss that measures both the initial shock and recovery rate at the country level. With a dataset of 125 countries, we implement cross-sectional regression techniques to estimate the impact of pandemic-specific and structural factors on the index. The focus of the analysis is placed on a dimension that was not sufficiently explored yet in the specialized literature: the role of industrial capabilities. Results show that industrial capabilities were crucial in supporting countries' ability to absorb and resist the global shock. The paper thus provides new empirical evidence on the role played by manufacturing industries in strengthening resilience to face unexpected events. [ABSTRACT FROM AUTHOR]

Respiratory viruses, especially coronaviruses, have resulted in worldwide pandemics in the past couple of decades. Saliva-based paper microfluidic assays represent an opportunity for noninvasive and rapid screening, yet both the sample matrix and test method come with unique challenges. In this work, we demonstrated the rapid and sensitive detection of SARS-CoV-2 from saliva samples, which could be simpler and more comfortable for patients than existing methods. Furthermore, we systematically investigated the components of saliva samples that affected assay performance. Using only a smartphone, an antibody-conjugated particle suspension, and a paper microfluidic chip, we made the assay user-friendly with minimal processing. Unlike the previously established flow rate assays that depended solely on the flow rate or distance, this unique assay analyzes the flow profile to determine infection status. Particle-target immunoagglutination changed the surface tension and subsequently the capillary flow velocity profile. A smartphone camera automatically measured the flow profile using a Python script, which was not affected by ambient light variations. The limit of detection (LOD) was 1 fg/μL SARS-CoV-2 from 1% saliva samples and 10 fg/μL from simulated saline gargle samples (15% saliva and 0.9% saline). This method was highly specific as demonstrated using influenza A/H1N1. The sample-to-answer assay time was <15 min, including <1-min capillary flow time. The overall accuracy was 89% with relatively clean clinical saline gargle samples. Despite some limitations with turbid clinical samples, this method presents a potential solution for rapid mass testing techniques during any infectious disease outbreak as soon as the antibodies become available. [ABSTRACT FROM AUTHOR]

• We examined panic buying and hoarding at the onset of the COVID-19 outbreak. • Perceived scarcity was the strongest predictor of panic buying. • Intolerance of uncertainty was the strongest predictor of hoarding. • Buying restrictions imposed by retailers may reduce panic buying. The COVID-19 pandemic led to panic buying in many countries across the globe, preventing vulnerable groups from accessing important necessities. Some reports inaccurately referred to the panic buying as hoarding. Although hoarding is a separate issue characterised by extreme saving behaviour, the two problems may be influenced by similar factors. Participants from Australia and the United States (final N = 359) completed online self-report measures of panic buying, hoarding, shopping patterns, perceived scarcity, COVID-19 illness anxiety, selfishness, and intolerance of uncertainty. Our findings showed that panic buying was related to hoarding symptoms (r 's =.23 -.36), and yet, both were uniquely associated with different psychological factors. Whilst panic buying was most strongly related to greater perceived scarcity (r 's =.38 -.60), hoarding was most related to a general intolerance of uncertainty (r 's =.24 -.57). Based on our findings, future strategies to prevent panic buying should focus on reducing perceived scarcity cues in the community, as this seems to be the primary driver of panic buying. Another preventative strategy to reduce excessive acquiring and saving may be to implement educational programs to increase people's ability to tolerate distress and uncertainty. [ABSTRACT FROM AUTHOR]

Real-time reverse transcriptase-polymerase chain reaction (RT-PCR)-based assays are the gold standard for virus diagnosis. Point-of-care (POC) technologies have shown great progress during this period. Herein, we propose a novel fuchsine dye-loaded polymersome for a colorimetric paper-based dot blot spike protein diagnostic assay for COVID-19 via smartphone-assisted sensing. The prepared platform aimed to create an adaptable tool that competes with traditional nanoparticle-based assays employing gold and silver. Analytical characterization and application of the testing platform showed high sensitivity (10 times better than gold nanoparticles), stability, fast turnaround, and reproducibility. The potential and possibilities demonstrated by the current platform could be observed in its adaptability for different markers and pathologies. In addition, smartphone-assisted sensing emphasizes the ability to use the tool at home by common peoples which can lower the burden on the healthcare facilities and reach more underdeveloped regions. • Facile, quick, and sensitive colorimetric paper-based biosensor for COVID-19. • Platform is based on functionalized dye-loaded polymersome. • Polymersomes were more sensitive than silver-enhanced gold nanoparticles. • Higher stability, repeatability, and reproducibility. • The biosensor is adjustable for other diseases. [ABSTRACT FROM AUTHOR]

Accurate, rapid, and low-cost molecular diagnostics is essential in managing outbreaks of infectious diseases, such as the pandemic of coronavirus disease 2019 (COVID-19). Accordingly, microfluidic paper-based analytical devices (μPADs) have emerged as promising diagnostic tools. Among the extensive efforts to improve the performance and usability of diagnostic tools, biosensing mechanisms based on electrochemical impedance spectroscopy (EIS) have shown great promise because of their label-free operation and high sensitivity. However, the method to improve EIS biosensing on μPADs is less explored. Here, we present an experimental approach to enhancing the performance of paper-based EIS biosensors featuring zinc oxide nanowires (ZnO NWs) directly grown on working electrodes (WEs). Through a comparison of different EIS settings and an examination of ZnO-NW effects on EIS measurements, we show that ZnO-NW-enhanced WEs function reliably with Faradaic processes utilizing iron-based electron mediators. We calibrate paper-based EIS biosensors with different morphologies of ZnO NWs and achieve a low limit of detection (0.4 pg ml−1) in detecting p24 antigen as a marker for human immunodeficiency virus (HIV). Through microscopic imaging and electrochemical characterization, we reveal that the morphological and the electrochemical surface areas of ZnO-NW-enhanced WEs indicate the sensitivities and sensing ranges of the EIS nanobiosensors. Finally, we report that the EIS nanobiosensors are capable of differentiating the concentrations (blank, 10 ng ml−1, 100 ng ml−1, and 1 μg ml−1) of IgG antibody (CR3022) to SARS-CoV-2 in human serum samples, demonstrating the efficacy of these devices for COVID-19 diagnosis. This work provides a methodology for the rational design of high-performance EIS μPADs and has the potential to facilitate diagnosis in pandemics. • Paper-based electrochemical impedance biosensors for accurate, rapid, and low-cost diagnostics of infectious diseases. • Zinc oxide nanowires (ZnO NWs) were directly synthesized on paper electrodes through hydrothermal growth. • Morphological and electrochemical surface areas of ZnO NWs on a working electrode affect the sensitivity and detection range of the electrochemical impedance biosensors. • Serological testing of IgG antibody (CR3022) to COVID-19 was demonstrated. [ABSTRACT FROM AUTHOR]

The importance of user-friendly, inexpensive, sensitive, and selective detection of viruses has been highlighted again due to the recent Coronavirus disease 2019 (COVID-19) pandemic. Among the analytical tools, paper-based devices (PADs) have become a leading alternative for point-of-care (POC) testing. In this review, we discuss the recent development strategies and applications in nucleic acid-based, antibody/antigen-based and other affinity-based PADs using optical and electrochemical detection methods for sensing viruses. In addition, advantages and drawbacks of presented PADs are identified. Current state and insights towards future perspectives are presented regarding developing POC diagnosis platform for COVID-19. This review considers state-of-the-art technologies for further development and improvement in PADs performance for virus detection. [Display omitted] • Reviewed developments in PADs for optical and electrochemical detection of viruses. • Highlighted recent applications in antibody/antigen-, nucleic acid-, aptamer- and CRISPR-based PADs for viral detection. • Emphasized low-cost POC diagnostic tools to control the global COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

The development of an effective combined vaccine represents a crucial strategy for preventing outbreaks of infectious diseases and reducing the burden on healthcare resources. Developing a combined vaccine against both influenza and the coronavirus is a promising approach, but it is still in the early stages of development. This paper reports on a novel combined pentavalent candidate vaccine that has shown promising results in mice, with statistically significant differences in mean antibody titer against the coronavirus and the influenza antigens compared to placebo. We have shown that the coronavirus antigen is capable of inducing an immune response autonomously, regardless of the presence of the influenza antigens in a combined vaccine. On the other hand, the presence of the coronavirus antigen in a combined vaccine showed to enhance the immune response against some of the studied influenza antigens, suggesting that these antigens may act in synergy and elicit an enhanced immune response. The absence of dose-dependent difference in mean antibody titer within the same antigenic groups of vaccine preparations suggested that even small amounts of the coronavirus and the influenza antigens could induce an immune response just as good as high-dose vaccine preparations, which certainly has important safety and cost implications. The vaccine is soon to be ready for clinical trials and mass production. [ABSTRACT FROM AUTHOR]

We aim to understand the effect of different information types on risk perception and examine the relationship between perceived risk and travel behaviour during a pandemic outbreak. A hybrid choice model structure, incorporating a multiple discrete-continuous extreme value model, was formulated and estimated to explore travellers' mode choice and usage changes. We used a risk perception map to visually explain which risk elements felt unfamiliar and uncontrollable to travellers. Virus variation , Potential sequelae , and Long-term coexistence of coronavirus with humans were perceived as the most unfamiliar and uncontrollable risk elements. The model results indicate that increased perceived risk tends to reduce travellers' use of public transport and increase the use of shared bikes and private cars. Reducing passengers' perceived risk is critical to encourage the re-uptake of public transport in the post-pandemic era. As travellers also show significant heterogeneity, governments should aim to design targeted intervention strategies to encourage different travellers to return to public transport when considering risk communication. • This paper examines the effect of different information on perceived risk and the influence of perceived risk on travel behaviour changes during the Covid-19 pandemic. • A risk perception map is used to find out risk elements that feel unfamiliar and uncontrollable to travellers. • A hybrid choice structure, incorporating a multiple discrete-continuous extreme value (MDCEV) model is formulated and estimated to understand mode choice and changes in the frequency of usage of these modes. • As Travellers show significant heterogeneity, targeted intervention strategies for different types of travellers are required to encourage re-uptake of public transport. [ABSTRACT FROM AUTHOR]

The U.S. Centers for Disease Control and Prevention (CDC) developed and implemented the CDC COVID-19 Vaccine Pregnancy Registry (C19VPR) to monitor vaccine safety. Potential participants who received a COVID-19 vaccine in pregnancy or up to 30 days prior to their pregnancy-associated last menstrual period were eligible to participate in the registry, which monitored health outcomes of participants and their infants through phone interviews and review of available medical records. Data for select outcomes, including birth defects, were reviewed by clinicians. In certain cases, medical records were used to confirm and add detail to participant-reported health conditions. This paper serves as a description of CDC C19VPR protocol. We describe the development and implementation for each data collection aspect of the registry (i.e., participant phone interviews, clinical review, and medical record abstraction), data management, and strengths and limitations. We also describe the demographics and vaccinations received among eligible and enrolled participants. There were 123,609 potential participants 18–54 years of age identified from January 2021 through mid-June 2021; 23,339 were eligible and enrolled into the registry. Among these, 85.3 % consented to medical record review for themselves and/or their infants. Participants were majority non-Hispanic White (79.1 %), residents of urban areas (93.3 %), and 48.3 % were between 30 and 34 years of age. Most participants completed the primary series of vaccination by the end of pregnancy (89.7 %). Many participants were healthcare personnel (44.8 %), possibly due to the phased roll-out of the vaccination program. The registry continues to provide important information about the safety of COVID-19 vaccination among pregnant people, a population with higher risk of poor outcomes from COVID-19 who were not included in pre-authorization clinical trials. Lessons learned from the registry may guide development and implementation of future vaccine safety monitoring efforts for pregnant people and their infants. [ABSTRACT FROM AUTHOR]

Glycation is a physiological process that determines the aging of the organism, while in states of metabolic disorders it is significantly intensified. High concentrations of compounds such as reducing sugars or reactive aldehydes derived from lipid oxidation, occurring for example in diabetes, atherosclerosis, dyslipidemia, obesity or metabolic syndrome, lead to increased glycation of proteins, lipids and nucleic acids. The level of advanced glycation end-products (AGEs) in the body depends on rapidity of their production and the rate of their removal by the urinary system. AGEs, accumulated in the extracellular matrix of the blood vessels and other organs, cause irreversible changes in the biochemical and biomechanical properties of tissues. As a consequence, micro- and macroangiopathies appear in the system, and may contribute to the organ failure, like kidneys and heart. Elevated levels of AGEs also increase the risk of Alzheimer's disease and various cancers. In this paper, we propose a new classification due to modified amino acid residues: arginyl-AGEs, monolysyl-AGEs and lysyl-arginyl-AGEs and dilysyl-AGEs. Furthermore, we describe in detail the effect of AGEs on the pathogenesis of metabolic and old age diseases, such as diabetic complications, atherosclerosis and neurodegenerative diseases. We summarize the currently available data on the diagnostic value of AGEs and present the AGEs as a therapeutic goal in a wide range of medical problems, including SARS-CoV-2 infection and so-called long COVID. [ABSTRACT FROM AUTHOR]

During the height of the global COVID-19 pandemic, the test-negative design (TND) was extensively used in many countries to evaluate COVID-19 vaccine effectiveness (VE). Typically, the TND involves the recruitment of care-seeking individuals who meet a common clinical case definition. All participants are then tested for an infection of interest. To review and describe the variation in TND methodology, and disclosure of potential biases, as applied to the evaluation of COVID-19 VE during the early vaccination phase of the pandemic. We conducted a systematic review by searching four biomedical databases using defined keywords to identify peer-reviewed articles published between January 1, 2020, and January 25, 2022. We included only original articles that employed a TND to estimate VE of COVID-19 vaccines in which cases and controls were evaluated based on SARS-CoV-2 laboratory test results. We identified 96 studies, 35 of which met the defined criteria. Most studies were from North America (16 studies) and targeted the general population (28 studies). Outcome case definitions were based primarily on COVID-19-like symptoms; however, several papers did not consider or specify symptoms. Cases and controls had the same inclusion criteria in only half of the studies. Most studies relied upon administrative or hospital databases assembled for a different (non-evaluation) clinical purpose. Potential unmeasured confounding (20 studies), misclassification of current SARS-CoV-2 infection (16 studies) and selection bias (10 studies) were disclosed as limitations by some studies. We observed potentially meaningful deviations from the validated design in the application of the TND during the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Hungary was among the few countries where suicidality increased in the first year of the COVID pandemic. In this study, we sought to investigate whether that elevated suicide mortality had changed by 2021, when the number of fatalities due to COVID-19 was much higher than in 2020. We used an interrupted time-series analysis with (quasi-) Poisson regression, controlling for linear trend and seasonal effects, to estimate the effect of the pandemic on the suicide rates of various subpopulations. For both pandemic years the changes in risk of suicide were compared to the period between 2015 and 2019. Although the pandemic had a significant adverse effect on suicidality in 2020 in the Hungarian total population and in males, by 2021 this effect had vanished. In the total population, those aged 25 years and older had elevated suicidality in 2020 but neither age group in the total population had elevated suicidality in 2021. In the total population, increased risks of suicide death could be observed among residents of the capital city (in 2020 and 2021), villages (in 2020), and - in terms of regions - "Central Hungary" (in 2020 and 2021). Only the risk of violent suicides was significantly higher for both the total and male populations (and only in 2020). We used non-individual level data. The increased suicidality in 2020 had abated by 2021. In the paper, we discuss the possible explanations for our findings. • It was feared that national suicide rates would increase during COVID-19 pandemic. • In the majority of countries the number of suicides was not higher than expected. • Hungary was among the few countries where suicidality increased in 2020. • We found that the increased suicidality of 2020 had abated by 2021. [ABSTRACT FROM AUTHOR]

This paper evaluates the risk of zombification of the French economy during the COVID-19 pandemic crisis, as a result of the unconditional financial support provided to firms by public authorities, to limit the impact of lockdown measures. We develop a simple theoretical framework based on a partial-equilibrium model to simulate the liquidity and solvency stress faced by a large panel of French firms and assess the impact of government support. Simulation results suggest that those policies helped healthy but illiquid firms to withstand the shock caused by the pandemic. Moreover, the analysis finds no evidence of a "zombification effect", as less productive companies did not disproportionately benefit from government support. [ABSTRACT FROM AUTHOR]

• This works confirms the interest of differentiating car drivers and motorcyclists. • The results show an effect of both the type of vehicle and the health crisis on the rules respected. • This wok allows for theoretical reflection on the construction of the relationship to social and legal rule. The aim of this article is to examine the construction of the relationship with rules, their links in individuals throughout their lives and their possible interactions. More precisely, this paper looks at the impact of the health crisis, COVID 19, on compliance with road rules among three categories of road user: car drivers, motorcyclists with a cylinder capacity of no more or more than 125 cm3. A questionnaire was designed and distributed to 4382 car users, motorcyclists with a cylinder ca-pacity of more or no more than 125 cm3. representative of the French population. The results show an effect of both the type of vehicle and the health crisis on the frequency and number of safety rules respected. These results confirm the value of differentiating the road-user population by showing the differences between motorists and motorcyclists, which are not due solely to the mode of travel used. In terms of road safety policy, they show the importance of prevention campaigns targeting different modes of travel, and taking into account the specificities of their users in terms of perception of rules and the factors involved in their observance. [ABSTRACT FROM AUTHOR]

• A (physically) low-fidelity train-driving simulator is well suited for measuring actual train-driving performance. • COVID-19 restrictions affected train-driver students' performance negatively. • Relative validity was found between number of driving errors in a simulator test and internship grades given by supervisors. Although common in other industries, such as the automotive sector, no train-driving validation study has been found in the existing literature. The present paper intends to fill that gap by comparing the results of train-driving performance in a physically low-fidelity but highly functional simulator with real train-driving performance. Thirty-four train driver students in the final part of their basic education were assessed in a 45-minute simulator test using the number of driving errors as the performance indicator. The results were compared with the performance at 11 weeks of internship as measured by supervisors grading according to a standard procedure. One of the classes (17 to-be drivers) was affected by restrictions related to COVID-19, which led to a shortened internship and distance learning during parts of the internship. The study also intended to measure the effect of the restrictions and the types of errors the drivers made by comparing the two classes. A significant correlation was found between the number of driving errors and internship grades, r = −0.45, p <.05. The results also revealed that COVID-19 restrictions negatively affected performance, as the students from Class B made significantly more driving errors and obtained a lower internship grade than those from Class A. This paper shows that this type of low-fidelity simulator is well suited for measuring real train-driving performance. A measurement method that can predict long-term driving should have implications for both research and practical usability. Researchers can use this for studying the effects of, for example, different training methods, while train operation companies can use the method to test their drivers' skills and intervene before an actual accident occurs. [ABSTRACT FROM AUTHOR]

One of the unique symptoms of COVID-19 is chemosensory dysfunction. Almost three years since the beginning of the pandemic of COVID-19, there have been many studies on the symptoms, progress, and possible causes, and also studies on methods that may facilitate recovery of the senses. Studies have shown that some people recover their senses even within a couple of weeks whereas there are other patients that fail to recover chemosensory functions fully for several months and some never fully recover. Here we summarize the symptoms and the progress, and then review the papers on the causation as well as the treatments that may help facilitate the recovery of the symptoms. Depending on the differences in the levels of severity and the locations where the main pathological venues are, what is most effective in facilitating recovery can vary largely across patients and thus may require individualized strategies for each patient. The goal of this paper is to provide some thoughts on these choices depending on the differences in the causes and severity. [ABSTRACT FROM AUTHOR]

Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is emerging as a global pandemic outbreak. To date, approximately one million deaths and over 32 million cases have been reported. This ongoing pandemic urgently requires an accurate testing device that can be used in the field in a fast manner. Serological assays to detect antibodies have been proven to be a great complement to the standard method of reverse transcription-polymerase chain reaction (RT-PCR), particularly after the second week of infection. We have developed a specific and sensitive immunosensor for immunoglobulin detection produced against SARS-CoV-2. Unlike other lateral flow-based assays (LFAs) involving the utilization of multiple antibodies, we have reported a label-free paper-based electrochemical platform targeting SARS-CoV-2 antibodies without the specific requirement of an antibody. The presence of SARS-CoV-2 antibodies will interrupt the redox conversion of the redox indicator, resulting in a decreased current response. This electrochemical sensor was proven effective in real clinical sera from patients with satisfactory results. In addition, the proposed format was also extended to antigen detection (the spike protein of SARS-CoV-2), which presents new possibilities for diagnosing COVID-19. • Electrochemical sensor for COVID-19 diagnostic. • Serological assay for SARS-CoV-2 antibodies was demonstrated. • Sensitivity enhancement compared to the traditional LFA devices. • Applicable to real clinical sera with satisfactory results. [ABSTRACT FROM AUTHOR]

The microfluidic paper-based analytical devices (μPADs) have grown-up swiftly over the decade due to its low cost, simple fabrication procedure, resource-limitedness, non-toxicity and their environmentally benign nature. The μPADs, also identified as point-of-care devices or health care devices have successfully applied in several fields such as diagnostics, biological, food safety, environmental, electrochemical and most importantly colorimetric/fluorimetric sensors, owing to the attractive passive motions of analyte without any external forces. In recent years, a large number of colorimetric and fluorimetric probes have been reported that can selectively recognize the analytes in μPADs. However, there is no organized review on its structure-activity relationship. In this review, we have focused to summarize the colorimetric and fluorimetric probes utilized in μPADs. This review discuss about the relationships between the structure and functions of various probes as signaling units of the efficient μPADs. The probes including nanomaterials, nanozymes, polymers and organic molecules, their structural activity with regard to sensing performances along with their limit of detection are also discussed. This review is expected to assist readers for better understanding of the sensing mechanisms of various chemo and bio-probes utilized in μPADs, as well as promote their advancement in the field. On the other hand, this review also helps the researchers for enhancement of μPADs and paves way for synergistic application of existing molecular probes as an effective diagnostic tool for the worldwide pandemic novel corona virus COVID-19. [Display omitted] • Traditional fabrications methods for µPADs are summarized. • Discusses about the hindrances of commercial wax printing method for fabrication of µPADs. • Various sensory materials are categorized and discussed along with their structure activity properties. • Highlights about the most promising material that could be a probable probe for µPADs. • The vision towards employing µPADs for COVID19 diagnosis is also discussed. [ABSTRACT FROM AUTHOR]

• Detection of cytokine storm biomarkers with mobile biosensors. • Immunosensors are made solely of cellulose modified with antibody-decorated nanoparticles. • Turnaround time under 10 min. • Detection of biomarkers in respiratory samples allows monitoring local inflammation. • Compatible with decentralized health care schemes. Decentralizing COVID-19 care reduces contagions and affords a better use of hospital resources. We introduce biosensors aimed at detecting severe cases of COVID-19 in decentralized healthcare settings. They consist of a paper immunosensor interfaced with a smartphone. The immunosensors have been designed to generate intense colorimetric signals when the sample contains ultralow concentrations of IL-6, which has been proposed as a prognosis biomarker of COVID-19. This is achieved by combining a paper-based signal amplification mechanism with polymer-filled reservoirs for dispensing antibody-decorated nanoparticles and a bespoken app for color quantification. With this design we achieved a low limit of detection (LOD) of 10−3 pg mL-1 and semi-quantitative measurements in a wide dynamic range between 10−3 and 102 pg mL-1 in PBS. The assay time is under 10 min. The low LOD allowed us to dilute blood samples and detect IL-6 with an LOD of 1.3 pg mL-1 and a dynamic range up to 102 pg mL-1. Following this protocol, we were able to stratify COVID-19 patients according to different blood levels of IL-6. We also report on the detection of IL-6 in respiratory samples (bronchial aspirate, BAS) from COVID-19 patients. The test could be easily adapted to detect other cytokines such as TNF-α and IL-8 by changing the antibodies decorating the nanoparticles accordingly. The ability of detecting cytokines in blood and respiratory samples paves the way for monitoring local inflammation in the lungs as well as systemic inflammation levels in the body. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has highlighted the need for diversity in the market and alternative materials for personal protective equipment (PPE). Paper has high coatability for tunable barrier performance, and an agile production process, making it a potential substitute for polyolefin-derived PPE materials. Bleached and newsprint papers were laminated with polyethylene (PE) coatings of different thicknesses, and characterised for their potential use as medical gowns for healthcare workers and COVID-19 patients. Thicker PE lamination improved coating homogeneity and water vapour resistance. 49 GSM bleached paper with 16 GSM PE coating showed high tensile and seam strength, and low water vapour transmission rate (WVTR). Phi-X174 bacteriophage testing revealed that paper laminated with 15 GSM coating hinders virus penetration. This research demonstrates that PE laminated paper is a promising material for low cost viral protective gowns. [Display omitted] • Polyethylene (PE) laminated bleached paper was assessed as a medical gown material. • High tensile and seam strength were achieved for the laminate composites. • Viral penetration was hindered by a 49 GSM paper sheet with a 15 GSM PE coating. • The laminated paper met medical gown material testing standards. • Prototypes were praised by medical professionals when worn in a clinical setting. [ABSTRACT FROM AUTHOR]

COVID-19 has evolved into a global pandemic. Early and rapid detection is crucial to control of the SARS-CoV-2 transmission. While representing the gold standard for early diagnosis, nucleic acid tests for SARS-CoV-2 are often complicated and time-consuming. Serological rapid antibody tests are characterized by high rates of false-negative diagnoses, especially during early infection. Here, we developed a novel nanozyme-based chemiluminescence paper assay for rapid and sensitive detection of SARS-CoV-2 spike antigen, which integrates nanozyme and enzymatic chemiluminescence immunoassay with the lateral flow strip. The core of our paper test is a robust Co–Fe@hemin-peroxidase nanozyme that catalyzes chemiluminescence comparable with natural peroxidase HRP and thus amplifies immune reaction signal. The detection limit for recombinant spike antigen of SARS-CoV-2 was 0.1 ng/mL, with a linear range of 0.2-100 ng/mL. Moreover, the sensitivity of test for pseudovirus could reach 360 TCID 50 /mL, which was comparable with ELISA method. The strip recognized SARS-CoV-2 antigen specifically, and there was no cross reaction with other coronaviruses or influenza A subtypes. This testing can be completed within 16 min, much shorter compared to the usual 1-2 h required for currently used nucleic acid tests. Furthermore, signal detection is feasible using the camera of a standard smartphone. Ingredients for nanozyme synthesis are simple and readily available, considerably lowering the overall cost. In conclusion, our paper test provides a high-sensitive point-of-care testing (POCT) approach for SARS-CoV-2 antigen detection, which should greatly facilitate early screening of SARS-CoV-2 infections, and considerably lower the financial burden on national healthcare resources. • Point-of-care antigen tests for screening of SARS-CoV-2 infection were established. • Chemiluminescence improves sensitivity of paper test and benefits early screening. • Nanozyme with high peroxidase activity and stability catalyzes chemiluminescence. • Nanozyme chemiluminescence paper test brings high efficiency and low cost. [ABSTRACT FROM AUTHOR]

The pervasive spread of infectious diseases and pandemics, such as the 2019 coronavirus disease (COVID-19), are becoming increasingly serious and urgent threats to human health. Preventing the spread of such diseases prioritizes the development of sensing devices that can rapidly, selectively, and reliably detect pathogens at minimal cost. Paper-based analytical devices (PADs) are promising tools that satisfy those criteria. Numerous paper-based biosensors have been established that rival conventional pathogen detection methods. Among them, colorimetric strategies are promising since results can be interpreted by eye, and are simple to operate, which is advantageous for point-of-care testing (POCT). Particularly, the application of nanomaterials on paper-based biosensors has become important as these materials are capable of converting signals from pathogens through unique mechanisms to yield an amplified colorimetric readout. To highlight the research progress on using nanomaterials in colorimetric paper-based biosensor for pathogen detection, we discuss the sensing mechanisms of how they work, structural and analytical characteristics of the devices, and representative recent applications. Current challenges and future directions of using PADs and nanomaterial-mediated strategies are also discussed. Image 1 • Recent developments in paper-based analytical devices for colorimetric detection of pathogens are reviewed in detail. • Three main types of point-of-care paper-based devices are exploited for robust performance in pathogen detection. • Colorimetric strategies are sensitive and offer fast response and convenience to end-users. • Diverse nanomaterials are deployed for both signal transduction and amplification to enhance sensitivity. • Sensing mechanisms fundamental to colorimetric pathogen detection are discussed. [ABSTRACT FROM AUTHOR]

COVID-19 conspiracy theories have become widespread since the onset of the pandemic and compound the existing challenges of decisional capacity assessment. This paper aims to review the literature pertaining to decisional capacity assessment in the context of COVID-19 conspiracy beliefs and synthesize a practical approach with an emphasis on differential diagnosis and clinical pearls for the practicing physician. We reviewed papers on decisional capacity assessment and differential diagnosis in the context of COVID-19 conspiracy beliefs. A literature search was conducted using the US National Library of Medicine's PubMed.gov resource and Google Scholar. The resulting article content was utilized to synthesize a practical approach to decisional capacity assessment in the context of COVID-19 conspiracy beliefs. Specifically, aspects related to the history, taxonomy, evaluation, and management are reviewed. Appreciating the nuanced differences between delusions, overvalued ideas, and obsessions while with integrating the non-cognitive domains of capacity into the assessment are crucial to navigating the wide differential diagnosis of COVID-19 conspiracy beliefs. It is important to attempt to clarify and optimize patient decision-making abilities by addressing circumstances, attitudes, and cognitive styles specific to patients with seemingly irrational beliefs about COVID-19. [ABSTRACT FROM AUTHOR]

This paper argues that the persistent inflation in the U.S. during the post-COVID economic recovery was mainly the result of the Fed's policy mistake caused by an overestimation of the negative output gap. The paper shows that after a two-quarter contraction, the U.S. economy quickly rebounded and outpaced its potential output, thus remaining in overheating territory. However, policymakers prolonged the monetary expansion beyond the necessary, which contributed to fuel inflation for a more prolonged time. The policy mistake was the result of an inaccurate estimation of potential output. Based on an alternative estimation that uses full employment as a condition, this paper shows that the U.S. economy has been running with a positive output gap since mid-2021. The results illustrate that the Federal Reserve was well-behind the curve in an economy in overexpansion and with a galloping inflation escalating well-above the target. [ABSTRACT FROM AUTHOR]

This paper proposes a partially periodic oscillation model, which is motivated by time series modelling for COVID-19 daily confirmed cases, in particular, to represent more accurately the dynamic features of the 7-day periodicity. In order to express the phenomenon of the partial 7-day cycle in the COVID-19 data, some partial periodic part is added to a heterogeneous autoregression model. Estimation algorithm based on the least squares errors and regression analysis is provided and parameter estimation consistency is given along with its proof. A Monte-Carlo simulation study is carried out to investigate the finite-sample performance. The proposed model is applied to the COVID-19 daily confirmed cases of the most affected eight countries which posses the partially periodic oscillation. Model criteria such as RMSE, MAE, HMAE, AIC and BIC are compared with other existing models. Efficiency of the model, relative to the benchmark, is evaluated to reveal its better accuracy performance. Out-of-sample forecasting analysis is conducted as well. The novelty is that this work is a challenging trial to identify the partially periodic oscillation of COVID-19 data, without smoothing, as well as the proposed model outperforms the existing time series models in the empirical analysis of the worldwide COVID-19. • A partially periodic oscillation model combined with heterogeneous autoregression is proposed. • The model is applied to the COVID-19 daily confirmed cases in the top eight countries with partially periodic oscillation. • A simple and robust estimation method is developed. • Model criteria measures such as RMSE, MAE, HMAE, AIC and BIC are evaluated and compared with existing models. • Efficiency of the proposed model, relative to benchmark models, is reported as 126%-163% improvement in some countries. [ABSTRACT FROM AUTHOR]

• An improved social force model considering the influence of COVID-19 is proposed. • Appropriate desired speed can lead to a win‒win situation between safety and efficiency. • The increase in social distance under high desired speed can slightly promotes evacuations. • The presence of epidemic-sensitive pedestrians effectively inhibits "faster-is-slower effect". Collective behavior has been frequently studied in previous works. However, during pandemics, the method in which system dynamics control the collective behavior of pedestrians has rarely been studied. To further understand this issue, an improved social force model is proposed in this paper to explore the potential constraints caused by pandemics during pedestrian evacuations. During COVID-19, Regulatory authorities usually require pedestrians to keep a certain social distance from each other to avoid virus infection. Our model can characterize the feature that pedestrians are sensitive to surrounding pedestrians within this prescriptive social distance. Based on the simulated results in an ordinary room, the effects of prescriptive social distance, behavioral response times and other potential factors on evacuation efficiency are compared to reflect the changes caused by COVID-19. The main findings are as follows. (1) Trying to maintain a social distance of 1.5 m will not delay evacuations but instead promote overall process of evacuations. Under the appropriate desired speed, a win‒win situation between epidemic safety and evacuation efficiency can be achieved. (2) The increase in prescriptive social distance under a high desired speed will slightly promote evacuations. When the desired speed is too low, however, it may substantially reduce evacuation efficiency. (3) The response time reflects the epidemic sensitivity of pedestrians. For pedestrians in congestion, a high response time value indicates a longer social distance adjustment, which will have a certain inhibitory effect on evacuation efficiency. (4) The presence of epidemic-sensitive pedestrians can effectively inhibit the "faster-is-slower effect". This work will help managers formulate relevant evacuation plans by taking advantage of the balance between personal purpose of fast evacuation and the public regulations, thereby inhibiting the spread of COVID-19 without lowing evacuation efficiency. [ABSTRACT FROM AUTHOR]

This paper takes advantage of the COVID-19 outbreak to explore the determinants of firms' R&D choices around an exogenous shock. We make use of unique panel data on 7,800 Italian companies between January –right before the pandemic– and March 2020 –amid lockdown policies. We exploit the short-run revision in firms' research plans to test the impact of deteriorating expectations and uncertainty on firms' R&D. In addition to the significant role played by firms' expectations, we find that preexisting innovative activities significantly shaped the reaction to the general uncertainty shock. • We explore the determinants of firms R&D choices around an exogenous shock. • We test the differential effect of deteriorating expectations and uncertainty on firms' R&D. • Expectations on future demand have a dramatic effect, especially for innovative companies. • Characteristics of the innovative process shape firms' reaction to the general uncertainty. • Newly innovative and transitioning companies are particularly affected. [ABSTRACT FROM AUTHOR]

While Canada has had relatively high vaccination rates against COVID-19, specifically during earlier waves of the pandemic, vaccine hesitancy has continued to serve as a significant barrier to adequate protection against the virus and, more recently, booster vaccine uptake. This paper explores the processes underlying Canadians' perceptions of COVID-19 vaccines and their decisions to take or refuse them, as well as how public policy and health messaging about vaccination has influenced vaccination attitudes and behaviors. Our focus group interviews with 18 vaccinated and unvaccinated adult Canadians conducted during October 2021 reveal that, in some respects, COVID-19 vaccine hesitancy conforms to prior knowledge about some of the factors that affect vaccine attitudes (e.g., the influence of known medical providers) but deviates from current theoretical frameworks regarding general vaccine hesitancy. Specifically, these frameworks emphasize a lack of scientific knowledge and literacy ("knowledge deficit" accounts) or individuals' inability to incorporate rational risk perceptions into initial emotional responses to vaccines ("emotionality/irrationality" accounts). In contrast to the knowledge deficit account, we find that expressions of COVID-19 vaccine hesitancy were most frequently associated with an information surplus or inability to prioritize information from multiple and often contradictory sources. Furthermore, top-down pro-vaccination messaging often triggered significant pushback against what participants perceived as moral shaming of the unvaccinated. Our findings demonstrate the necessity for a new framework to understand and address vaccine hesitancy. A better theoretical account of vaccine hesitancy has important implications for future vaccination efforts, specifically within the context of new variants and low booster vaccination rates in Canada. [ABSTRACT FROM AUTHOR]

• In this position paper, we provide a collection of views on the role of AI in the COVID-19 pandemic, from the clinical needs to the design of AI-based systems, to the translation of the developed tools to the clinic. • We highlight key factors in designing system solutions - per specific task; as well as design issues in managing the disease on the national level. • We focus on three specific use-cases for which AI systems can be built: from the early disease detection, the management of the disease in a hospital setting, and building patient-specific predictive models that require the combination of imaging with additional clinical features. • Infrastructure considerations and population modeling in two European countries will be described. • This pandemic has made the practical and scientific challenges of making AI solutions very explicit. A discussion concludes this paper, with a list of challenges facing the community in the AI road ahead. In this position paper, we provide a collection of views on the role of AI in the COVID-19 pandemic, from clinical requirements to the design of AI-based systems, to the translation of the developed tools to the clinic. We highlight key factors in designing system solutions - per specific task; as well as design issues in managing the disease at the national level. We focus on three specific use-cases for which AI systems can be built: early disease detection, management in a hospital setting, and building patient-specific predictive models that require the combination of imaging with additional clinical data. Infrastructure considerations and population modeling in two European countries will be described. This pandemic has made the practical and scientific challenges of making AI solutions very explicit. A discussion concludes this paper, with a list of challenges facing the community in the AI road ahead. [ABSTRACT FROM AUTHOR]

The world has been encountered with COVID-19 pandemic since at the beginning of 2020 and the number of infected people by COVID-19 is increasing every day. Despite various studies conducted by researchers and doctors, no treatment has been developed until now, therefore self-protection and isolation are strongly recommended to stop the spread of the virus. The elderly population and people with chronic diseases such as hypertension, cardiovascular diseases, diabetes, and cancer are categorized as risk groups, however, we suggest that people with hemoglobinopathies or porphyria can be described as risk groups as well. Current in silico studies have revealed that the COVID-19 virus can attack heme and hemoglobin metabolisms which are responsible for the oxygen transport to the tissues, iron metabolism, elevated levels of oxidative stress, and tissue damage. Data of the in silico study have been supported with the biochemistry and hemogram results of the COVID-19 patients, for instance hemoglobin levels decreased and serum ferritin and C-reactive protein levels increased. Indicated biochemistry biomarkers are tightly associated with inflammation, iron overload, and oxidative stress. In conclusion, since people with hemoglobinopathies or porphyria have already impaired heme and hemoglobin metabolism, COVID-19 infection can enhance the adverse effects of impaired hemoglobin metabolism and accelerate the progression of severe symptoms in patients with hemoglobinopathies or porphyria compared to the normal individuals. Thus those people can be considered as a risk group and extra precautions should be applied for them to protect them. [ABSTRACT FROM AUTHOR]