| Title | Venue | Year | Impact | Source |
| 7801 | The Sixth Mass Extinction: fact, fiction or speculation? N/A | Biol Rev Camb Philos Soc | 2022 | | CORD-19 |
| 7802 | Novel Insights Into Immune Systems of Bats In recent years, viruses similar to those that cause serious disease in humans and other mammals have been detected in apparently healthy bats. These include filoviruses, paramyxoviruses, and coronaviruses that cause severe diseases such as Ebola virus disease, Marburg haemorrhagic fever and severe acute respiratory syndrome (SARS) in humans. The evolution of flight in bats seem to have selected for a unique set of antiviral immune responses that control virus propagation, while limiting self-damaging inflammatory responses. Here, we summarize our current understanding of antiviral immune responses in bats and discuss their ability to co-exist with emerging viruses that cause serious disease in other mammals. We highlight how this knowledge may help us to predict viral spillovers into new hosts and discuss future directions for the field. | Front Immunol | 2020 | | CORD-19 |
| 7803 | Productive employment and decent work: The impact of AI adoption on psychological contracts, job engagement and employee trust This research examines the tension between the aims of the United Nations’ Sustainable Development Goal 8 (SDG 8), to promote productive employment and decent work, and the adoption of Artificial Intelligence (AI). Our findings are based on the analysis of 232 survey results, where we tested the effects of AI adoption on workers’ psychological contract, engagement and trust. We find that psychological contracts had a significant, positive effect on job engagement and on trust. Yet, with AI adoption, the positive effect of psychological contracts fell significantly. A further re-examination of the extant literature leads us to posit that AI adoption fosters the creation of a third type of psychological contract, which we term “Alienational”. Whereas SDG 8 is premised on strengthening relational contracts between an organization and its employees, the adoption of AI has the opposite effect, detracting from the very nature of decent work. | J Bus Res | 2020 | | CORD-19 |
| 7804 | Vaccine development for emerging infectious diseases N/A | Nat Med | 2021 | | LitCov and CORD-19 |
| 7805 | Structure-Based Stabilization of Non-native Protein-Protein Interactions of Coronavirus Nucleocapsid Proteins in Antiviral Drug Design [Image: see text] Structure-based stabilization of protein–protein interactions (PPIs) is a promising strategy for drug discovery. However, this approach has mainly focused on the stabilization of native PPIs, and non-native PPIs have received little consideration. Here, we identified a non-native interaction interface on the three-dimensional dimeric structure of the N-terminal domain of the MERS-CoV nucleocapsid protein (MERS-CoV N-NTD). The interface formed a conserved hydrophobic cavity suitable for targeted drug screening. By considering the hydrophobic complementarity during the virtual screening step, we identified 5-benzyloxygramine as a new N protein PPI orthosteric stabilizer that exhibits both antiviral and N-NTD protein-stabilizing activities. X-ray crystallography and small-angle X-ray scattering showed that 5-benzyloxygramine stabilizes the N-NTD dimers through simultaneous hydrophobic interactions with both partners, resulting in abnormal N protein oligomerization that was further confirmed in the cell. This unique approach based on the identification and stabilization of non-native PPIs of N protein could be applied toward drug discovery against CoV diseases. | J Med Chem | 2020 | | LitCov and CORD-19 |
| 7806 | Scientists are sprinting to outpace the novel coronavirus | Lancet | 2020 | | LitCov and CORD-19 |
| 7807 | Explainable Deep Learning Models in Medical Image Analysis Deep learning methods have been very effective for a variety of medical diagnostic tasks and have even outperformed human experts on some of those. However, the black-box nature of the algorithms has restricted their clinical use. Recent explainability studies aim to show the features that influence the decision of a model the most. The majority of literature reviews of this area have focused on taxonomy, ethics, and the need for explanations. A review of the current applications of explainable deep learning for different medical imaging tasks is presented here. The various approaches, challenges for clinical deployment, and the areas requiring further research are discussed here from a practical standpoint of a deep learning researcher designing a system for the clinical end-users. | J Imaging | 2020 | | CORD-19 |
| 7808 | Teachers' attitudes towards social media (SM) use in online learning amid the COVID-19 pandemic: the effects of SM use by teachers and religious scholars during physical distancing The adoption of physical distancing and quarantine amid the COVID-19 pandemic to contain virus spread has left the world with schools' closure. In response, schools have shifted into online learning in developed societies while the developing world struggles to opt for online learning due to limited infrastructure and capacity and religious beliefs, in some communities, that discourage online learning. However, there has been a significant increase in the use of Social Media (SM) observed across developing and developed societies and religious communities amid physical distancing. This study was conducted to explore the possibility of SM use in online learning by exploring teachers' attitudes in relation to the effects of physical distancing and increased SM use, SM knowledge and religious leaders' SM use. In a quantitative investigation method, the researchers used a questionnaire as a primary tool to collect the data from 252 teachers of both public and private schools. Partial Least Square Structural Modeling (PLS-SEM) was used as an analysis method to assess and measure the proposed model. The findings are significant to inform how physical distancing amid the pandemic has influenced teachers' attitudes to opt for social media use in online learning. The findings have implications for teachers worldwide, particularly in developing countries, to switch to online learning using SM under challenging situations like the COVID-19 pandemic. | Heliyon | 2021 | | LitCov and CORD-19 |
| 7809 | Machine learning-based prediction of COVID-19 diagnosis based on symptoms Effective screening of SARS-CoV-2 enables quick and efficient diagnosis of COVID-19 and can mitigate the burden on healthcare systems. Prediction models that combine several features to estimate the risk of infection have been developed. These aim to assist medical staff worldwide in triaging patients, especially in the context of limited healthcare resources. We established a machine-learning approach that trained on records from 51,831 tested individuals (of whom 4769 were confirmed to have COVID-19). The test set contained data from the subsequent week (47,401 tested individuals of whom 3624 were confirmed to have COVID-19). Our model predicted COVID-19 test results with high accuracy using only eight binary features: sex, age ≥60 years, known contact with an infected individual, and the appearance of five initial clinical symptoms. Overall, based on the nationwide data publicly reported by the Israeli Ministry of Health, we developed a model that detects COVID-19 cases by simple features accessed by asking basic questions. Our framework can be used, among other considerations, to prioritize testing for COVID-19 when testing resources are limited. | NPJ Digit Med | 2021 | | LitCov and CORD-19 |
| 7810 | Rapid Detection of 2019 Novel Coronavirus SARS-CoV-2 Using a CRISPR-based DETECTR Lateral Flow Assay An outbreak of novel betacoronavirus, SARS-CoV-2 (formerly named 2019-nCoV), began in Wuhan, China in December 2019 and the COVID-19 disease associated with infection has since spread rapidly to multiple countries. Here we report the development of SARS-CoV-2 DETECTR, a rapid (~30 min), low-cost, and accurate CRISPR-Cas12 based lateral flow assay for detection of SARS-CoV-2 from respiratory swab RNA extracts. We validated this method using contrived reference samples and clinical samples from infected US patients and demonstrated comparable performance to the US CDC SARS-CoV-2 real-time RT-PCR assay. | medRxiv | 2020 | | CORD-19 |
| 7811 | Information resource orchestration during the COVID-19 pandemic: A study of community lockdowns in China The outbreak of the COVID-19 pandemic has created significant challenges for people worldwide. To combat the virus, one of the most dramatic measures was the lockdown of 4 billion people in what is believed to be the largest quasi-quarantine in human history. As a response to the call to study information behavior during a global health crisis, we adopted a resource orchestration perspective to investigate six Chinese families who survived the lockdown. We explored how elderly, young and middle-aged individuals and children resourced information and how they adapted their information behavior to emerging online technologies. Two information resource orchestration practices (information resourcing activities and information behavior adaptation activities) and three mechanisms (online emergence and convergence in community resilience, the overcoming of information flow impediments, and the application of absorptive capacity) were identified in the study. | Int J Inf Manage | 2020 | | LitCov and CORD-19 |
| 7812 | Changes in food choice following restrictive measures due to Covid-19 BACKGROUND AND AIMS: Following the Covid-19 proliferation beyond the borders of China at the beginning of 2020, containment measures have been taken by different countries around the globe. Citizens were forced to stay at home. The aim of this study is twofold. First, we will provide an analysis of food consumption in Italy during the emergency from a social stance. Secondly, we will consider the risks in relation to health of these food product choices. METHODS AND RESULT: This analysis is based on IRi's data on consumption trends (percentage increase in sales in value) during the first period of the spread of coronavirus, from 23rd of February through the 29th of March, 2020. The sample includes 10 769 stores. There was an increase in the consumption of pasta, flour, eggs, long-life milk and frozen foods, in comparison to a reduction of fresh food goods. The sales of snacks have dropped in relation to the production of homemade bread, pizza and cakes. CONCLUSION: The increase in the consumption of some types of food is linked with their symbolic value and its tendency to carry on at home some external socialization habits. But be careful: these habits are not always healthy. | Nutr Metab Cardiovasc Dis | 2020 | | LitCov and CORD-19 |
| 7813 | Impact of immune enhancement on Covid-19 polyclonal hyperimmune globulin therapy and vaccine development Abstract The pandemic spread of a novel coronavirus – SARS coronavirus-2 (SARS-CoV-2) as a cause of acute respiratory illness, named Covid-19, is placing the healthcare systems of many countries under unprecedented stress. Global economies are also spiraling towards a recession in fear of this new life-threatening disease. Vaccines that prevent SARS-CoV-2 infection and therapeutics that reduces the risk of severe Covid-19 are thus urgently needed. A rapid method to derive antiviral treatment for Covid-19 is the use of convalescent plasma derived hyperimmune globulin. However, both hyperimmune globulin and vaccine development face a common hurdle – the risk of antibody-mediated disease enhancement. The goal of this review is to examine the body of evidence supporting the hypothesis of immune enhancement that could be pertinent to Covid-19. We also discuss how this risk could be mitigated so that both hyperimmune globulin and vaccines could be rapidly translated to overcome the current global health crisis. | EBioMedicine | 2020 | | LitCov and CORD-19 |
| 7814 | Psychological underpinning of panic buying during pandemic | Psychiatry Res | 2020 | | LitCov and CORD-19 |
| 7815 | Pathogenesis of Lassa Fever Lassa virus, an Old World arenavirus (family Arenaviridae), is the etiological agent of Lassa fever, a severe human disease that is reported in more than 100,000 patients annually in the endemic regions of West Africa with mortality rates for hospitalized patients varying between 5-10%. Currently, there are no approved vaccines against Lassa fever for use in humans. Here, we review the published literature on the life cycle of Lassa virus with the specific focus put on Lassa fever pathogenesis in humans and relevant animal models. Advancing knowledge significantly improves our understanding of Lassa virus biology, as well as of the mechanisms that allow the virus to evade the host’s immune system. However, further investigations are required in order to design improved diagnostic tools, an effective vaccine, and therapeutic agents. | Viruses | 2012 | | CORD-19 |
| 7816 | Reverse vaccinology 2.0: Human immunology instructs vaccine antigen design Traditionally, vaccines have been developed by cultivating infectious agents and isolating the inactivated whole pathogen or some of its purified components. 20 years ago, reverse vaccinology enabled vaccine discovery and design based on information deriving from the sequence of microbial genomes rather than via the growth of pathogens. Today, the high throughput discovery of protective human antibodies, sequencing of the B cell repertoire, and the increasing structural characterization of protective antigens and epitopes provide the molecular and mechanistic understanding to drive the discovery of novel vaccines that were previously impossible. We are entering a “reverse vaccinology 2.0” era. | J Exp Med | 2016 | | CORD-19 |
| 7817 | COVID-19 outbreak: preparedness and readiness of countries in the Eastern Mediterranean Region N/A | East Mediterr Health J | 2020 | | LitCov and CORD-19 |
| 7818 | The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike Abstract The full societal impact COVID-19 pandemic is laid bare in urban mobility patterns. This research explored the recently published data on the operation of subway and bike share systems (BSS) during the COVID-19 outbreak in New York city, providing evidence on its impact over urban transport systems, but also on how its different components can work in conjunction. The BSS has proved to be more resilient than the subway system, with a less significant ridership drop (71% vs 90% ridership drop and 50% decrease on the ridership ratio) and an increase on its trips' average duration (from 13 min to 19 min per trip). Moreover, the study found evidence of a modal transfer from some subway users to the bike sharing system. The first effects of the free BSS programs aimed at essential service workers were also evaluated. BSS can improve the resilience of urban transport systems to disruptive events. Overall, this paper offers clues on how bike sharing, and cycling in general, can support the transition to a post-coronavirus society. | Transp Res Interdiscip Perspec | 2020 | | LitCov and CORD-19 |
| 7819 | 3D printing filament as a second life of waste plastics-a review In recent times, the issue of plastic recycling has become one of the leading issues of environmental protection and waste management. Polymer materials have been found an application in many areas of daily life and industry. Along with their extended use, the problem of plastic wastes appeared because, after withdrawal from use, they became persistent and noxious wastes. The possibility of reusing polymeric materials gives a possibility of valorization—a second life—and enables effective waste utilization to obtain consumable products. The 3D printing market is a well-growing sector. Printable filaments can be made from a variety of thermoplastic materials, including those from recycling. This paper focuses on a review of the available literature on the production of filaments for 3D printers from recycled polymers as the alternative to present approach of central selective collection of plastics. The possibility of recycling of basic thermoplastic materials and the impact of processing on their physicochemical and mechanical properties were verified (Lanzotti et al. 2019). In addition, commercially available filaments produced from recycled materials and devices which allow self-production of filaments to 3D printing from plastic waste were reviewed. | Environ Sci Pollut Res Int | 2020 | | CORD-19 |
| 7820 | Is SARS-CoV-2 Also an Enteric Pathogen With Potential Fecal-Oral Transmission? A COVID-19 Virological and Clinical Review Abstract In as short as 3 months, COVID-19 has spread and ravaged the world in an unprecedented speed in modern history rivaling the 1918 flu pandemic. SARS-CoV-2, the culprit virus, is highly contagious and stable in the environment and predominantly transmits among humans via the respiratory route. Accumulating evidence suggest that this virus, like many of its related viruses, may also be an enteric virus that can spread via the fecal-oral route. Such a hypothesis would also contribute to the rapidity and proliferation of this pandemic. Here we briefly summarize what is known about this family of viruses and literature basis of the hypothesis that SARS-CoV-2 is capable of infecting the gastrointestinal tract and shedding in the environment for potential human-to-human transmission. | Gastroenterology | 2020 | | LitCov and CORD-19 |
| 7821 | Novelty in the gut: a systematic review and meta-analysis of the gastrointestinal manifestations of COVID-19 BACKGROUND: The COVID-19 epidemic has affected over 2.6 million people across 210 countries. Recent studies have shown that patients with COVID-19 experience relevant gastrointestinal (GI) symptoms. We aimed to perform a systematic review and meta-analysis on the GI symptoms of COVID-19. METHODS: A literature search was conducted via electronic databases, including PubMed, Embase, Scopus, and Google Scholar, from inception until 20 March 2020. Data were extracted from relevant studies. A systematic review of GI symptoms and a meta-analysis comparing symptoms in severe and non-severe patients was performed using RevMan V.5.3. RESULTS: Pooled data from 2477 patients with a reverse transcription-PCR-positive COVID-19 infection across 17 studies were analysed. Our study revealed that diarrhoea (7.8%) followed by nausea and/or vomiting (5.5 %) were the most common GI symptoms. We performed a meta-analysis comparing the odds of having GI symptoms in severe versus non-severe COVID-19-positive patients. 4 studies for nausea and/or vomiting, 5 studies for diarrhoea and 3 studies for abdominal pain were used for the analyses. There was no significant difference in the incidence of diarrhoea (OR=1.32, 95% CI 0.8 to 2.18, Z=1.07, p=0.28, I(2)=17%) or nausea and/or vomiting (OR=0.96, 95% CI 0.42 to 2.19, Z=0.10, p=0.92, I(2)=55%) between either group. However, there was seven times higher odds of having abdominal pain in patients with severe illness when compared with non-severe patients (OR=7.17, 95% CI 1.95 to 26.34, Z=2.97, p=0.003, I(2)=0%). CONCLUSION: Our study has reiterated that GI symptoms are an important clinical feature of COVID-19. Patients with severe disease are more likely to have abdominal pain as compared with patients with non-severe disease. | BMJ Open Gastroenterol | 2020 | | LitCov and CORD-19 |
| 7822 | Online learning and COVID-19: a meta-synthesis analysis The COVID-19 pandemic demanded a quick shift from presential to e-learning processes. Unlike planned e-learning programs, medical schools have had to quickly deliver the entire medical curriculum using remote strategies. This study aimed to perform a meta-synthesis of previous pandemic situations and describe the experience of the São Paulo University School of Medicine. We searched the Cochrane Central Register of Controlled Trials, Medline, EMBASE, Lilacs, Scopus, Web of Science, and ERIC, using the following keywords: (“SARS” OR “severe acute respiratory syndrome” OR “severe acute respiratory syndrome” OR “Middle East Respiratory Syndrome Coronavirus” OR “middle east respiratory syndrome*” OR “MERS-CoV” OR “Mers” OR “Middle Eastern Respiratory Syndrome*” OR “MERS-CoV*” OR “coronavirus” OR “Coronavirus Infections” OR “coronavirus*” OR “COVID-19” OR “2019-nCoV” OR “SARS-CoV-2”) AND (“online education” OR “Education, Distance” OR “e-learning” OR “course online” OR “flipped classroom”) AND (“lockdown” OR “social distance” OR “quarantine”). The endpoints were the online platforms used for online learning, the model of class, recorded versus online interaction, duration of online lectures, and students' and teachers' perceptions of online learning. We retrieved 38 records; only seven articles studied online education methods related to the pandemic and social distancing rules. The most frequently used online platform was Zoom(®). The studies examined both synchronous and asynchronous approaches. There was no evidence regarding duration and students’ and teachers' attitude. This study suggests that the online learning shift was feasible; however, because of the nature of the education shift (pandemic), future studies must further analyze the educational structure. | Clinics (Sao Paulo) | 2020 | | LitCov and CORD-19 |
| 7823 | RIG-I in RNA virus recognition Antiviral immunity is initiated upon host recognition of viral products via non-self molecular patterns known as pathogen-associated molecular patterns (PAMPs). Such recognition initiates signaling cascades that induce intracellular innate immune defenses and an inflammatory response that facilitates development of the acquired immune response. The retinoic acid-inducible gene I (RIG-I) and the RIG-I-like receptor (RLR) protein family are key cytoplasmic pathogen recognition receptors that are implicated in the recognition of viruses across genera and virus families, including functioning as major sensors of RNA viruses, and promoting recognition of some DNA viruses. RIG-I, the charter member of the RLR family, is activated upon binding to PAMP RNA. Activated RIG-I signals by interacting with the adapter protein MAVS leading to a signaling cascade that activates the transcription factors IRF3 and NF-κB. These actions induce the expression of antiviral gene products and the production of type I and III interferons that lead to an antiviral state in the infected cell and surrounding tissue. RIG-I signaling is essential for the control of infection by many RNA viruses. Recently, RIG-I crosstalk with other pathogen recognition receptors and components of the inflammasome has been described. In this review, we discuss the current knowledge regarding the role of RIG-I in recognition of a variety of virus families and its role in programming the adaptive immune response through cross-talk with parallel arms of the innate immune system, including how RIG-I can be leveraged for antiviral therapy. | Virology | 2015 | | CORD-19 |
| 7824 | Digital technology can revolutionize mental health services delivery: The COVID-19 crisis as a catalyst for change The unprecedented COVID‐19 crisis presents an imperative for mental health care systems to make digital mental health interventions a routine part of care. Already because of COVID‐19, many therapists have rapidly moved to using telehealth in place of in‐person contact. In response to this shift, Waller and colleagues compiled a series of expert recommendations to help clinicians pivot to delivering teletherapy to address eating disorders during COVID‐19. However, numerous barriers still impede widespread adoption and implementation of digital interventions. In this commentary, we aim to extend the recommendations for clinicians offered by Waller and colleagues by presenting a roadmap of the systems‐ and policy‐level requirements that are needed. We advocate for addressing barriers associated with training, licensing, safety, privacy, payment, and evaluation, as these factors have greatly limited use of these promising interventions. We also indicate that longer‐term goals should include introducing truly innovative digital mental health practices, such as stepped‐care models and simultaneously providing preventive and self‐management services in addition to clinical services, into the health care system. Now is the time to catalyze change and comprehensively address the barriers that have prevented widespread delivery of these efficacious digital services to the millions of people who would benefit. | Int J Eat Disord | 2020 | | LitCov and CORD-19 |
| 7825 | Two linear epitopes on the SARS-CoV-2 spike protein that elicit neutralising antibodies in COVID-19 patients Given the ongoing SARS-CoV-2 pandemic, identification of immunogenic targets against the coronavirus spike glycoprotein will provide crucial advances towards the development of sensitive diagnostic tools and potential vaccine candidate targets. In this study, using pools of overlapping linear B-cell peptides, we report two IgG immunodominant regions on SARS-CoV-2 spike glycoprotein that are recognised by sera from COVID-19 convalescent patients. Notably, one is specific to SARS-CoV-2, which is located in close proximity to the receptor binding domain. The other region, which is localised at the fusion peptide, could potentially function as a pan-SARS target. Functionally, antibody depletion assays demonstrate that antibodies targeting these immunodominant regions significantly alter virus neutralisation capacities. Taken together, identification and validation of these neutralising B-cell epitopes will provide insights towards the design of diagnostics and vaccine candidates against this high priority coronavirus. | Nat Commun | 2020 | | LitCov and CORD-19 |
| 7826 | Large-Scale Multi-omic Analysis of COVID-19 Severity We performed RNA-Seq and high-resolution mass spectrometry on 128 blood samples from COVID-19 positive and negative patients with diverse disease severities and outcomes. Quantified transcripts, proteins, metabolites, and lipids were associated with clinical outcomes in a curated relational database, uniquely enabling systems analysis and cross-ome correlations to molecules and patient prognoses. We mapped 219 molecular features with high significance to COVID-19 status and severity, many involved in complement activation, dysregulated lipid transport, and neutrophil activation. We identified sets of covarying molecules, e.g., protein gelsolin and metabolite citrate or plasmalogens and apolipoproteins, offering pathophysiological insights and therapeutic suggestions. The observed dysregulation of platelet function, blood coagulation, acute phase response, and endotheliopathy further illuminated the unique COVID-19 phenotype. We present a web-based tool (covid-omics.app) enabling interactive exploration of our compendium and illustrate its utility through a machine learning approach for prediction of COVID-19 severity. | Cell Syst | 2020 | | LitCov and CORD-19 |
| 7827 | European Resuscitation Council COVID-19 guidelines executive summary These coronavirus disease 2019 (COVID-19) guidelines focus specifically on patients with suspected or confirmed COVID-19. For resuscitation of those who are low risk or confirmed negative for COVID-19, the reader is directed to the standard resuscitation guidelines for adults and children.1, 2, 3 Where uncertainty exists treatment should be informed by a dynamic risk assessment which may consider current COVID-19 prevalence, the patient's presentation (e.g. history of COVID-19 contact, COVID-19 symptoms), likelihood that treatment will be effective, availability of personal protective equipment (PPE) and personal risks for those providing treatment. These guidelines will be subject to evolving knowledge and experience of COVID-19. As countries are at different stages of the pandemic, there may some international variation in practice. | Resuscitation | 2020 | | LitCov and CORD-19 |
| 7828 | Associations of Social Isolation with Anxiety and Depression During the Early COVID-19 Pandemic: A Survey of Older Adults in London, UK The COVID-19 pandemic is imposing a profound negative impact on the health and wellbeing of societies and individuals, worldwide. One concern is the effect of social isolation as a result of social distancing on the mental health of vulnerable populations, including older people. Within six weeks of lockdown, we initiated the CHARIOT COVID-19 Rapid Response Study, a bespoke survey of cognitively healthy older people living in London, to investigate the impact of COVID-19 and associated social isolation on mental and physical wellbeing. The sample was drawn from CHARIOT, a register of people over 50 who have consented to be contacted for aging related research. A total of 7,127 men and women (mean age=70.7 [SD=7.4]) participated in the baseline survey, May–July 2020. Participants were asked about changes to the 14 components of the Hospital Anxiety Depression scale (HADS) after lockdown was introduced in the UK, on 23(rd) March. A total of 12.8% of participants reported feeling worse on the depression components of HADS (7.8% men and 17.3% women) and 12.3% reported feeling worse on the anxiety components (7.8% men and 16.5% women). Fewer participants reported feeling improved (1.5% for depression and 4.9% for anxiety). Women, younger participants, those single/widowed/divorced, reporting poor sleep, feelings of loneliness and who reported living alone were more likely to indicate feeling worse on both the depression and/or anxiety components of the HADS. There was a significant negative association between subjective loneliness and worsened components of both depression (OR 17.24, 95% CI 13.20, 22.50) and anxiety (OR 10.85, 95% CI 8.39, 14.03). Results may inform targeted interventions and help guide policy recommendations in reducing the effects of social isolation related to the pandemic, and beyond, on the mental health of older people. | Front Psychiatry | 2020 | | LitCov and CORD-19 |
| 7829 | Distance education during the COVID-19 outbreak: A cross-sectional study among medical students in North of Jordan INTRODUCTION: In the spot of the new emerging COVID-19 pandemic and its major impact worldwide on day-to-day activities many rules had to be changed in order to fight this pandemic. Lockdown started in Jordan and around the globe affecting several aspects of life including economy, education, entertainment, and government policies. Regarding education, the priority was to ensure the safety and progress of the educational process. Thus, new methods of teaching had to be applied using the online learning at Jordan University of Science and Technology (JUST), Faculty of Medicine. This study was done to assess (1) Class Experience (2) Students and Lecturers' Interaction (3) Online Learning Advantages & Disadvantages (4) Students’ Preference. METHODS: A cross sectional study was conducted Convenience sampling technique was used to collect the data from the participants using a survey composed of 18 questions on Google Forms platform. A link was sent to the undergraduate medical students at the Jordan University of Science & Technology via their e-learning accounts (n = 3700). The form was available from May 22nd, 2020 to May 30th, 2020 for 8 days long. Data analysis was done using SPSS V 23. RESULTS: 2212 out of 3700 students responded, (55.8%) of them were in the basic years and (44.2%) of them were in the clinical years. (55.8%) of students started to take online lectures after 3 weeks. (45.7%) used the hybrid teaching method (asynchronous and synchronous), (31.4%) used live classes, and 22.8% recorded classes. Zoom was the most used platform. (48.7%) and (57%) of clinical students and basic students express their interaction as bad, while the others had good and excellent interaction. Maintaining social distance was the most advantage of online teaching, while poor technical setup and no direct contact were the most disadvantage, furthermore inability to have real clinical access was a significant problem for clinical students (p < .001). With reference to students’ preferences 75% of students were not pleased with their experience and 42% of students prefer to integrate online learning with traditional learning. CONCLUSION: Most medical students at JUST preferred the traditional face-to-face teaching method over the solo online teaching methods with recommendations to convert to a more integrated educational system. Also, a well-established infrastructure should be done in involving online teaching. | Ann Med Surg (Lond) | 2020 | | LitCov and CORD-19 |
| 7830 | Social determinants of health and inequalities in COVID-19 | Eur J Public Health | 2020 | | LitCov and CORD-19 |
| 7831 | Extrafollicular B cell responses correlate with neutralizing antibodies and morbidity in COVID-19 N/A | Nat Immunol | 2020 | | LitCov and CORD-19 |
| 7832 | Severe COVID-19 infection associated with endothelial activation | Thromb Res | 2020 | | LitCov and CORD-19 |
| 7833 | The Covid-19 Pandemic and the Incidence of Acute Myocardial Infarction N/A | N Engl J Med | 2020 | | LitCov and CORD-19 |
| 7834 | Recommendations for prioritization, treatment and triage of breast cancer patients during the COVID-19 pandemic. the COVID-19 pandemic breast cancer consortium The COVID-19 pandemic presents clinicians a unique set of challenges in managing breast cancer (BC) patients. As hospital resources and staff become more limited during the COVID-19 pandemic, it becomes critically important to define which BC patients require more urgent care and which patients can wait for treatment until the pandemic is over. In this Special Communication, we use expert opinion of representatives from multiple cancer care organizations to categorize BC patients into priority levels (A, B, C) for urgency of care across all specialties. Additionally, we provide treatment recommendations for each of these patient scenarios. Priority A patients have conditions that are immediately life threatening or symptomatic requiring urgent treatment. Priority B patients have conditions that do not require immediate treatment but should start treatment before the pandemic is over. Priority C patients have conditions that can be safely deferred until the pandemic is over. The implementation of these recommendations for patient triage, which are based on the highest level available evidence, must be adapted to current availability of hospital resources and severity of the COVID-19 pandemic in each region of the country. Additionally, the risk of disease progression and worse outcomes for patients need to be weighed against the risk of patient and staff exposure to SARS CoV-2 (virus associated with the COVID-19 pandemic). Physicians should use these recommendations to prioritize care for their BC patients and adapt treatment recommendations to the local context at their hospital. | Breast Cancer Res Treat | 2020 | | LitCov and CORD-19 |
| 7835 | The experience of the 2003 SARS outbreak as a traumatic stress among frontline healthcare workers in Toronto: lessons learned N/A | Philos Trans R Soc Lond B Biol | 2004 | | CORD-19 |
| 7836 | Prevalence and Influencing Factors on Fatigue of First-line Nurses Combating with COVID-19 in China: A Descriptive Cross-Sectional Study Nurses’ work-related fatigue has been recognized as a threat to nurse health and patient safety. The aim of this study was to assess the prevalence of fatigue among first-line nurses combating with COVID-19 in Wuhan, China, and to analyze its influencing factors on fatigue. A multi-center, descriptive, cross-sectional design with a convenience sample was used. The statistical population consisted of the first-line nurses in 7 tertiary general hospitals from March 3, 2020 to March 10, 2020 in Wuhan of China. A total of 2667 samples from 2768 contacted participants completed the investgation, with a response rate of 96.35%. Social-demographic questionnaire, work-related questionnaire, Fatigue Scale-14, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, and Chinese Perceived Stress Scale were used to conduct online survey. The descriptive statistic of nurses’ social-demographic characteristics was conducted, and the related variables of work, anxiety, depression, perceived stress and fatigue were analyzed by t-tests, nonparametric test and Pearson’s correlation analysis. The significant factors which resulted in nurses’ fatigue were further analyzed by multiple linear regression analysis. The median score for the first-line nurses’ fatigue in Wuhan was 4 (2, 8). The median score of physical and mental fatigue of them was 3 (1, 6) and 1 (0, 3) respectively. According to the scoring criteria, 35.06% nurses (n=935) of all participants were in the fatigue status, their median score of fatigue was 10 (8, 11), and the median score of physical and mental fatigue of them was 7 (5, 8) and 3 (2, 4) respectively. Multiple linear regression analysis revealed the participants in the risk groups of anxiety, depression and perceived stress had higher scores on physical and mental fatigue and the statistically significant positive correlation was observed between the variables and nurses’ fatigue, the frequency of exercise and nurses’ fatigue had a statistically significant negative correlation, and average daily working hours had a significantly positive correlation with nurses’ fatigue, and the frequency of weekly night shift had a low positive correlation with nurses’ fatigue (P<0.01). There was a moderate level of fatigue among the first-line nurses fighting against COVID-19 pandemic in Wuhan, China. Government and health authorities need to formulate and take effective intervention strategies according to the relevant risk factors, and undertake preventive measures aimed at reducing health hazards due to increased work-related fatigue among first-line nurses, and to enhance their health status and provide a safe occupational environment worldwide. Promoting both medical and nursing safety while combating with the pandemic currently is warranted. | Curr Med Sci | 2020 | | LitCov and CORD-19 |
| 7837 | The Benefits and Costs of Using Social Distancing to Flatten the Curve for COVID-19 We examine the net benefits of social distancing to slow the spread of COVID-19 in USA. Social distancing saves lives but imposes large costs on society due to reduced economic activity. We use epidemiological and economic forecasting to perform a rapid benefit–cost analysis of controlling the COVID-19 outbreak. Assuming that social distancing measures can substantially reduce contacts among individuals, we find net benefits of about $5.2 trillion in our benchmark case. We examine the magnitude of the critical parameters that might imply negative net benefits, including the value of statistical life and the discount rate. A key unknown factor is the speed of economic recovery with and without social distancing measures in place. A series of robustness checks also highlight the key role of the value of mortality risk reductions and discounting in the analysis and point to a need for effective economic stimulus when the outbreak has passed. | J Benefit Cost Anal | 2020 | | CORD-19 |
| 7838 | The next protein transition BACKGROUND: Meeting the UN Sustainable Development Goals requires a relatively rapid transition towards a circular economy. Therefore, a multidisciplinary perspective is required to sketch why a transition from diets based primarily on animal proteins towards diets based primarily on plant proteins products is extremely urgent for both food security and sustainability. SCOPE AND APPROACH: This review starts out by identifying ecological, economic and social aspects of sustainable food consumption. Subsequently, it is argued how protein supply is underlying and linking the top-3 of anthropogenic impacts based on the planetary boundaries concept, i.e. 1) biodiversity loss, 2) nitrogen cycle acceleration, and 3) carbon cycle acceleration (resulting in climate change). These environmental impacts associated with current Western food consumption need to be reduced urgently. In order to address the inefficiencies inherent to current dietary patterns, therefore, a ranked list of more sustainable options is proposed, based on their order of magnitude. Addressing consumers, industry, and governmental stakeholders plus cultural aspects, challenges and options are sketched. KEY FINDINGS AND CONCLUSIONS: Clearly, a dietary transition from primarily animal towards plant protein products is required. Fortunately, new dietary guidelines are increasingly taking sustainability into account and the contours of a diet transition are slowly emerging. | Trends Food Sci Technol | 2018 | | CORD-19 |
| 7839 | Machine Learning, COVID-19 (2019-nCoV) and multi-OMICS | Cytometry A | 2020 | | LitCov and CORD-19 |
| 7840 | Epidemiological and Clinical Aspects of COVID-19; a Narrative Review There are significant misconceptions and many obstacles in the way of illuminating the epidemiological and clinical aspects of COVID-19 as a new emerging epidemic. In addition, usefulness of some evidence published in the context of the recent epidemic for decision making in clinic as well as public health is questionable. However, misinterpreting or ignoring strong evidence in clinical practice and public health probably results in less effective and somehow more harmful decisions for individuals as well as subgroups in general populations of countries in the initial stages of this epidemic. Accordingly, our narrative review appraised epidemiological and clinical aspects of the disease including genetic diversity of coronavirus genus, mode of transmission, incubation period, infectivity, pathogenicity, virulence, immunogenicity, diagnosis, surveillance, clinical case management and also successful measures for preventing its spread in some communities. | Arch Acad Emerg Med | 2020 | | LitCov and CORD-19 |
| 7841 | The Human Phenotype Ontology in 2021 The Human Phenotype Ontology (HPO, https://hpo.jax.org) was launched in 2008 to provide a comprehensive logical standard to describe and computationally analyze phenotypic abnormalities found in human disease. The HPO is now a worldwide standard for phenotype exchange. The HPO has grown steadily since its inception due to considerable contributions from clinical experts and researchers from a diverse range of disciplines. Here, we present recent major extensions of the HPO for neurology, nephrology, immunology, pulmonology, newborn screening, and other areas. For example, the seizure subontology now reflects the International League Against Epilepsy (ILAE) guidelines and these enhancements have already shown clinical validity. We present new efforts to harmonize computational definitions of phenotypic abnormalities across the HPO and multiple phenotype ontologies used for animal models of disease. These efforts will benefit software such as Exomiser by improving the accuracy and scope of cross-species phenotype matching. The computational modeling strategy used by the HPO to define disease entities and phenotypic features and distinguish between them is explained in detail.We also report on recent efforts to translate the HPO into indigenous languages. Finally, we summarize recent advances in the use of HPO in electronic health record systems. | Nucleic Acids Res | 2020 | | CORD-19 |
| 7842 | Animal models of Multiple Sclerosis Multiple Sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system (CNS) which involves a complex interaction between immune system and neural cells. Animal modeling has been critical for addressing MS pathogenesis. The three most characterized animal models of MS are (1) the experimental autoimmune/allergic encephalomyelitis (EAE); (2) the virally-induced chronic demyelinating disease, known as Theiler׳s murine encephalomyelitis virus (TMEV) infection and (3) the toxin-induced demyelination. All these models, in a complementary way, have allowed to reach a good knowledge of the pathogenesis of MS. Specifically, EAE is the model which better reflects the autoimmune pathogenesis of MS and is extremely useful to study potential experimental treatments. Furthermore, both TMEV and toxin-induced demyelination models are suitable for characterizing the role of the axonal injury/repair and the remyelination process in MS. In conclusion, animal models, despite their limitations, remain the most useful instrument for implementing the study of MS. | Eur J Pharmacol | 2015 | | CORD-19 |
| 7843 | Psycho-social factors associated with mental resilience in the Corona lockdown The SARS-CoV-2 pandemic is not only a threat to physical health but is also having severe impacts on mental health. Although increases in stress-related symptomatology and other adverse psycho-social outcomes, as well as their most important risk factors have been described, hardly anything is known about potential protective factors. Resilience refers to the maintenance of mental health despite adversity. To gain mechanistic insights about the relationship between described psycho-social resilience factors and resilience specifically in the current crisis, we assessed resilience factors, exposure to Corona crisis-specific and general stressors, as well as internalizing symptoms in a cross-sectional online survey conducted in 24 languages during the most intense phase of the lockdown in Europe (22 March to 19 April) in a convenience sample of N = 15,970 adults. Resilience, as an outcome, was conceptualized as good mental health despite stressor exposure and measured as the inverse residual between actual and predicted symptom total score. Preregistered hypotheses (osf.io/r6btn) were tested with multiple regression models and mediation analyses. Results confirmed our primary hypothesis that positive appraisal style (PAS) is positively associated with resilience (p < 0.0001). The resilience factor PAS also partly mediated the positive association between perceived social support and resilience, and its association with resilience was in turn partly mediated by the ability to easily recover from stress (both p < 0.0001). In comparison with other resilience factors, good stress response recovery and positive appraisal specifically of the consequences of the Corona crisis were the strongest factors. Preregistered exploratory subgroup analyses (osf.io/thka9) showed that all tested resilience factors generalize across major socio-demographic categories. This research identifies modifiable protective factors that can be targeted by public mental health efforts in this and in future pandemics. | Transl Psychiatry | 2021 | | LitCov and CORD-19 |
| 7844 | Wearable materials with embedded synthetic biology sensors for biomolecule detection N/A | Nat Biotechnol | 2021 | | LitCov and CORD-19 |
| 7845 | A New Era of Antibiotics: The Clinical Potential of Antimicrobial Peptides Antimicrobial resistance is a multifaceted crisis, imposing a serious threat to global health. The traditional antibiotic pipeline has been exhausted, prompting research into alternate antimicrobial strategies. Inspired by nature, antimicrobial peptides are rapidly gaining attention for their clinical potential as they present distinct advantages over traditional antibiotics. Antimicrobial peptides are found in all forms of life and demonstrate a pivotal role in the innate immune system. Many antimicrobial peptides are evolutionarily conserved, with limited propensity for resistance. Additionally, chemical modifications to the peptide backbone can be used to improve biological activity and stability and reduce toxicity. This review details the therapeutic potential of peptide-based antimicrobials, as well as the challenges needed to overcome in order for clinical translation. We explore the proposed mechanisms of activity, design of synthetic biomimics, and how this novel class of antimicrobial compound may address the need for effective antibiotics. Finally, we discuss commercially available peptide-based antimicrobials and antimicrobial peptides in clinical trials. | Int J Mol Sci | 2020 | | CORD-19 |
| 7846 | Impact of COVID-19 on the mental health of surgeons and coping strategies Unprecedented times call for extraordinary measures. While surgeons across the globe try to comprehend the evolving facade of the COVID‐19 pandemic and improvise surgical practice to the best of their ability, the psychological impact of the stress on their own mental health and well‐being has been underestimated. This paper aims to review the indirect and overt factors that may affect the mental health of a surgeon in the present circumstances. Furthermore, it will aim to highlight key coping mechanisms at an individual and institutional level, so as to mitigate the negative psychological impact on surgeons. | Head Neck | 2020 | | LitCov and CORD-19 |
| 7847 | Parkinson disease-associated cognitive impairment N/A | Nat Rev Dis Primers | 2021 | | CORD-19 |
| 7848 | Azithromycin for community treatment of suspected COVID-19 in people at increased risk of an adverse clinical course in the UK (PRINCIPLE): a randomised, controlled, open-label, adaptive platform trial BACKGROUND: Azithromycin, an antibiotic with potential antiviral and anti-inflammatory properties, has been used to treat COVID-19, but evidence from community randomised trials is lacking. We aimed to assess the effectiveness of azithromycin to treat suspected COVID-19 among people in the community who had an increased risk of complications. METHODS: In this UK-based, primary care, open-label, multi-arm, adaptive platform randomised trial of interventions against COVID-19 in people at increased risk of an adverse clinical course (PRINCIPLE), we randomly assigned people aged 65 years and older, or 50 years and older with at least one comorbidity, who had been unwell for 14 days or less with suspected COVID-19, to usual care plus azithromycin 500 mg daily for three days, usual care plus other interventions, or usual care alone. The trial had two coprimary endpoints measured within 28 days from randomisation: time to first self-reported recovery, analysed using a Bayesian piecewise exponential, and hospital admission or death related to COVID-19, analysed using a Bayesian logistic regression model. Eligible participants with outcome data were included in the primary analysis, and those who received the allocated treatment were included in the safety analysis. The trial is registered with ISRCTN, ISRCTN86534580. FINDINGS: The first participant was recruited to PRINCIPLE on April 2, 2020. The azithromycin group enrolled participants between May 22 and Nov 30, 2020, by which time 2265 participants had been randomly assigned, 540 to azithromycin plus usual care, 875 to usual care alone, and 850 to other interventions. 2120 (94%) of 2265 participants provided follow-up data and were included in the Bayesian primary analysis, 500 participants in the azithromycin plus usual care group, 823 in the usual care alone group, and 797 in other intervention groups. 402 (80%) of 500 participants in the azithromycin plus usual care group and 631 (77%) of 823 participants in the usual care alone group reported feeling recovered within 28 days. We found little evidence of a meaningful benefit in the azithromycin plus usual care group in time to first reported recovery versus usual care alone (hazard ratio 1·08, 95% Bayesian credibility interval [BCI] 0·95 to 1·23), equating to an estimated benefit in median time to first recovery of 0·94 days (95% BCI −0·56 to 2·43). The probability that there was a clinically meaningful benefit of at least 1·5 days in time to recovery was 0·23. 16 (3%) of 500 participants in the azithromycin plus usual care group and 28 (3%) of 823 participants in the usual care alone group were hospitalised (absolute benefit in percentage 0·3%, 95% BCI −1·7 to 2·2). There were no deaths in either study group. Safety outcomes were similar in both groups. Two (1%) of 455 participants in the azothromycin plus usual care group and four (1%) of 668 participants in the usual care alone group reported admission to hospital during the trial, not related to COVID-19. INTERPRETATION: Our findings do not justify the routine use of azithromycin for reducing time to recovery or risk of hospitalisation for people with suspected COVID-19 in the community. These findings have important antibiotic stewardship implications during this pandemic, as inappropriate use of antibiotics leads to increased antimicrobial resistance, and there is evidence that azithromycin use increased during the pandemic in the UK. FUNDING: UK Research and Innovation and UK Department of Health and Social Care. | Lancet | 2021 | | LitCov and CORD-19 |
| 7849 | The impact of coronavirus infectious disease 19 on oral health Health services across the world face an unprecedented situation as a result of a global COVID‐19 outbreak. Urgent joined research efforts regarding the SARS‐COV‐2 rapid tests, accurate diagnosis, especially early recognition, and effective treatment of life‐threatening complications would be highly desirable for humanity and medical workforce all over the world that try to combat a current global pandemic threat. Due to indirect complex effect, intensified COVID‐19 therapies and multi‐drug treatment, it is believed that some oral conditions could be aggravated by COVID‐19 disease, particularly those with autoimmune aetiology, linked to compromised immune system or long‐term pharmacotherapy. | Oral Dis | 2020 | | LitCov and CORD-19 |
| 7850 | Vaccine Efficacy Needed for a COVID-19 Coronavirus Vaccine to Prevent or Stop an Epidemic as the Sole Intervention Introduction Given the continuing coronavirus disease 2019 (COVID-19) pandemic and much of the U.S. implementing social distancing owing to the lack of alternatives, there has been a push to develop a vaccine to eliminate the need for social distancing. Methods In 2020, the team developed a computational model of the U.S. simulating the spread of COVID-19 coronavirus and vaccination. Results Simulation experiments revealed that to prevent an epidemic (reduce the peak by >99%), the vaccine efficacy has to be at least 60% when vaccination coverage is 100% (reproduction number [R0]=2.5–3.5). This vaccine efficacy threshold rises to 70% when coverage drops to 75% and up to 80% when coverage drops to 60% when R0 is 2.5, rising to 80% when coverage drops to 75% when R0 is 3.5. To extinguish an ongoing epidemic, the vaccine efficacy has to be at least 60% when coverage is 100% and at least 80% when coverage drops to 75% to reduce the peak by 85%–86%, 61%–62%, and 32% when vaccination occurs after 5%, 15%, and 30% of the population have already been exposed to COVID-19 coronavirus. A vaccine with an efficacy between 60% and 80% could still obviate the need for other measures under certain circumstances such as much higher, and in some cases, potentially unachievable, vaccination coverages. Conclusions This study found that the vaccine has to have an efficacy of at least 70% to prevent an epidemic and of at least 80% to largely extinguish an epidemic without any other measures (e.g., social distancing). | Am J Prev Med | 2020 | | LitCov and CORD-19 |
