This version of BIP! Finder aims to ease the exploration of COVID-19-related literature by enabling ranking articles based on various impact metrics.
Last Update: 18 - 01 - 2023 (628506 entries)
Popularity: Citation-based measure reflecting the current impact.
Influence: Citation-based measure reflecting the total impact.
Reader Attention: The current number of Mendeley readers.
Social Media Attention: The number of recent tweets related to this article.
*More details on these impact measures can be found here.
Exceptional score (in top 0.01%).
Substantial score (in top 1%).
Average score (in bottom 99%).
Score not available.
CORD-19 dataset(1) (list of papers)
LitCovid hub(2) (list of papers)
PMC & PubMed (citations)
Mendeley (number of readers)
COVID-19-TweetIDs(3) (tweets)
| Title | Venue | Year | Impact | Source | |
|---|---|---|---|---|---|
| 5151 | Psychological impact of severe acute respiratory syndrome on health workers in a tertiary hospital N/A | Br J Psychiatry | 2004 | CORD-19 | |
| 5152 | Neutralizing nanobodies bind SARS-CoV-2 spike RBD and block interaction with ACE2 N/A | Nat Struct Mol Biol | 2020 | LitCov and CORD-19 | |
| 5153 | Clinical characteristics, outcomes and risk factors for mortality in patients with cancer and COVID-19 in Hubei, China: a multicentre, retrospective, cohort study BACKGROUND: Patients with cancer are a high-risk population in the COVID-19 pandemic. We aimed to describe clinical characteristics and outcomes of patients with cancer and COVID-19, and examined risk factors for mortality in this population. METHODS: We did a retrospective, multicentre, cohort study of 205 patients with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and with a pathological diagnosis of a malignant tumour in nine hospitals within Hubei, China, from Jan 13 to March 18, 2020. All patients were either discharged from hospitals or had died by April 20, 2020. Clinical characteristics, laboratory data, and cancer histories were compared between survivors and non-survivors by use of χ(2) test. Risk factors for mortality were identified by univariable and multivariable logistic regression models. FINDINGS: Between Jan 13 and Mar 18, 2020, 205 patients with cancer and laboratory-confirmed SARS-CoV-2 infection were enrolled (median age 63 years [IQR 56–70; range 14–96]; 109 [53%] women). 183 (89%) had solid tumours and 22 (11%) had haematological malignancies. The median duration of follow-up was 68 days (IQR 59–78). The most common solid tumour types were breast (40 [20%] patients), colorectal (28 [14%]), and lung cancer (24 [12%]). 54 (30%) of 182 patients received antitumour therapies within 4 weeks before symptom onset. 30 (15%) of 205 patients were transferred to an intensive care unit and 40 (20%) died during hospital admission. Patients with haematological malignancies had poorer prognoses than did those with solid tumours: nine (41%) of 22 patients with haematological malignancies died versus 31 (17%) of 183 patients with solid tumours (hazard ratio for death 3·28 [95% CI 1·56–6·91]; log rank p=0·0009). Multivariable regression analysis showed that receiving chemotherapy within 4 weeks before symptom onset (odds ratio [OR] 3·51 [95% CI 1·16–10·59]; p=0·026) and male sex (OR 3·86 [95% CI 1·57–9·50]; p=0·0033) were risk factors for death during admission to hospital. INTERPRETATION: Patients with cancer and COVID-19 who were admitted to hospital had a high case-fatality rate. Unfavourable prognostic factors, including receiving chemotherapy within 4 weeks before symptom onset and male sex, might help clinicians to identify patients at high risk of fatal outcomes. FUNDING: National Natural Science Foundation of China. | Lancet Oncol | 2020 | LitCov and CORD-19 | |
| 5154 | Yeast surface display for protein engineering and characterization Yeast surface display is being employed to engineer desirable properties into proteins for a broad variety of applications. Labeling with soluble ligands enables rapid and quantitative analysis of yeast-displayed libraries by flow cytometry, while libraries with insoluble or even as-yet-uncharacterized binding targets can be screened through cell-surface selections. In parallel, the utilization of yeast surface display for protein characterization, including in particular the mapping of functional epitopes mediating protein-protein interactions, represents a significant recent advance. | Curr Opin Struct Biol | 2007 | CORD-19 | |
| 5155 | Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic The COVID-19 pandemic is one of the most severe supply chain disruptions in history and has challenged practitioners and scholars to improve the resilience of supply chains. Recent technological progress, especially industry 4.0, indicates promising possibilities to mitigate supply chain risks such as the COVID-19 pandemic. However, the literature lacks a comprehensive analysis of the link between industry 4.0 and supply chain resilience. To close this research gap, we present evidence from a systematic literature review, including 62 papers from high-quality journals. Based on a categorization of industry 4.0 enabler technologies and supply chain resilience antecedents, we introduce a holistic framework depicting the relationship between both areas while exploring the current state-of-the-art. To verify industry 4.0’s resilience opportunities in a severe supply chain disruption, we apply our framework to a use case, the COVID-19-affected automotive industry. Overall, our results reveal that big data analytics is particularly suitable for improving supply chain resilience, while other industry 4.0 enabler technologies, including additive manufacturing and cyber-physical systems, still lack proof of effectiveness. Moreover, we demonstrate that visibility and velocity are the resilience antecedents that benefit most from industry 4.0 implementation. We also establish that industry 4.0 holistically supports pre-disruption resilience measures, enabling more effective proactive risk management. Both research and practice can benefit from this study. While scholars may analyze resilience potentials of under-explored enabler technologies, practitioners can use our findings to guide industry 4.0 investment decisions. | Comput Ind Eng | 2021 | LitCov and CORD-19 | |
| 5156 | Long-COVID and Post-COVID Health Complications: An Up-to-Date Review on Clinical Conditions and Their Possible Molecular Mechanisms The COVID-19 pandemic has infected millions worldwide, leaving a global burden for long-term care of COVID-19 survivors. It is thus imperative to study post-COVID (i.e., short-term) and long-COVID (i.e., long-term) effects, specifically as local and systemic pathophysiological outcomes of other coronavirus-related diseases (such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS)) were well-cataloged. We conducted a comprehensive review of adverse post-COVID health outcomes and potential long-COVID effects. We observed that such adverse outcomes were not localized. Rather, they affected different human systems, including: (i) immune system (e.g., Guillain–Barré syndrome, rheumatoid arthritis, pediatric inflammatory multisystem syndromes such as Kawasaki disease), (ii) hematological system (vascular hemostasis, blood coagulation), (iii) pulmonary system (respiratory failure, pulmonary thromboembolism, pulmonary embolism, pneumonia, pulmonary vascular damage, pulmonary fibrosis), (iv) cardiovascular system (myocardial hypertrophy, coronary artery atherosclerosis, focal myocardial fibrosis, acute myocardial infarction, cardiac hypertrophy), (v) gastrointestinal, hepatic, and renal systems (diarrhea, nausea/vomiting, abdominal pain, anorexia, acid reflux, gastrointestinal hemorrhage, lack of appetite/constipation), (vi) skeletomuscular system (immune-mediated skin diseases, psoriasis, lupus), (vii) nervous system (loss of taste/smell/hearing, headaches, spasms, convulsions, confusion, visual impairment, nerve pain, dizziness, impaired consciousness, nausea/vomiting, hemiplegia, ataxia, stroke, cerebral hemorrhage), (viii) mental health (stress, depression and anxiety). We additionally hypothesized mechanisms of action by investigating possible molecular mechanisms associated with these disease outcomes/symptoms. Overall, the COVID-19 pathology is still characterized by cytokine storm that results to endothelial inflammation, microvascular thrombosis, and multiple organ failures. | Viruses | 2021 | LitCov and CORD-19 | |
| 5157 | Exploring Lifestyle Habits, Physical Activity, Anxiety and Basic Psychological Needs in a Sample of Portuguese Adults during COVID-19 This cross-sectional study aimed to characterize the lifestyle habits, anxiety levels and basic psychological needs (BPN), in Portuguese adults during the Coronavirus Disease 2019 (COVID-19) pandemic, including a comparison between genders and age groups. In total, 1404 adults (36.4 ± 11.7 years; 69.6% female) answered sociodemographic data and three instruments: the International Physical Activity Questionnaire, the Basic Need General Satisfaction Scale and the State-Trait Anxiety Inventory. Males revealed higher values for the total energy expenditure (z = −2.26; p = 0.024; [Formula: see text] = 0.004) and for the level of satisfaction of competence (z = −2.62; p = 0.009; [Formula: see text] = 0.005). Females showed higher scores for the anxiety state (z = −7.87; p ≤ 0.001; [Formula: see text] = 0.044) and anxiety trait (z = −6.49; p ≤ 0.001; [Formula: see text] = 0.030). Regarding age, higher values for the anxiety trait (p ≤ 0.001; [Formula: see text] = 0.030) were found in the 18–34 years-old group compared to all the other age groups, also presenting significantly higher values of total energy expenditure (χ² = 13.93; p = 0.008; [Formula: see text] = 0.007) when compared to the 35–44 years-old group. Significant differences were observed between the 18–34 years-old group and the other age groups for the satisfaction of competence (χ² = 40.97; p ≤ 0.001; [Formula: see text] = 0.026), except for the >65 years-old group. Strategies for promoting well-being during periods of social isolation should consider the role of psychological dimensions and lifestyle habits according to the gender or age group. | Int J Environ Res Public Healt | 2020 | LitCov and CORD-19 | |
| 5158 | Toll-like receptors in systemic autoimmune disease Toll-like receptors (TLRs) have a crucial role in the early detection of pathogen-associated molecular patterns and the subsequent activation of the adaptive immune response. Whether TLRs also have an important role in the recognition of endogenous ligands has been more controversial. Numerous in vitro studies have documented activation of both autoreactive B cells and plasmacytoid dendritic cells by mammalian TLR ligands. The issue of whether these in vitro observations translate to an in vivo role for TLRs in either the initiation or the progression of systemic autoimmune disease is a subject of intense research; data are beginning to emerge showing that this is the case. | Nat Rev Immunol | 2006 | CORD-19 | |
| 5159 | A Qualitative Study of Child and Adolescent Mental Health during the COVID-19 Pandemic in Ireland Mitigating the adverse physical health risks associated with COVID-19 has been a priority of public health incentives. Less attention has been placed on understanding the psychological factors related to the global pandemic, especially among vulnerable populations. This qualitative study sought to understand the experiences of children and adolescents during COVID-19. This study interviewed 48 families during the COVID-19 pandemic restrictions, and a national lockdown, to understand its impacts. The study used an Interpretative Phenomenological Analysis (IPA) methodology. Parents and children discussed the negative impact of the restrictions on young people’s wellbeing. Children and adolescents experienced adverse mental health effects, including feelings of social isolation, depression, anxiety, and increases in maladaptive behaviour. Families with children with Autism Spectrum Disorders reported increased mental health difficulties during this period mostly due to changes to routine. The findings highlight the impact of severe restrictions on vulnerable populations’ wellbeing and mental health outcomes, including children, adolescents, and those with Autism spectrum disorder (ASD). | Int J Environ Res Public Healt | 2021 | LitCov and CORD-19 | |
| 5160 | The SARS-CoV-2 receptor ACE2 expression of maternal-fetal interface and fetal organs by single-cell transcriptome study The new type of pneumonia caused by the SARS-CoV-2 (Severe acute respiratory syndrome coronavirus 2) has been declared as a global public health concern by WHO. As of April 3, 2020, more than 1,000,000 human infections have been diagnosed around the world, which exhibited apparent person-to-person transmission characteristics of this virus. The capacity of vertical transmission in SARS-CoV-2 remains controversial recently. Angiotensin-converting enzyme 2 (ACE2) is now confirmed as the receptor of SARS-CoV-2 and plays essential roles in human infection and transmission. In present study, we collected the online available single-cell RNA sequencing (scRNA-seq) data to evaluate the cell specific expression of ACE2 in maternal-fetal interface as well as in multiple fetal organs. Our results revealed that ACE2 was highly expressed in maternal-fetal interface cells including stromal cells and perivascular cells of decidua, and cytotrophoblast and syncytiotrophoblast in placenta. Meanwhile, ACE2 was also expressed in specific cell types of human fetal heart, liver and lung, but not in kidney. And in a study containing series fetal and post-natal mouse lung, we observed ACE2 was dynamically changed over the time, and ACE2 was extremely high in neonatal mice at post-natal day 1~3. In summary, this study revealed that the SARS-CoV-2 receptor was widely spread in specific cell types of maternal-fetal interface and fetal organs. And thus, both the vertical transmission and the placenta dysfunction/abortion caused by SARS-CoV-2 need to be further carefully investigated in clinical practice. | PLoS One | 2020 | LitCov and CORD-19 | |
| 5161 | Addressing the Cold Reality of mRNA Vaccine Stability As mRNA vaccines became the frontrunners in late-stage clinical trials to fight the COVID-19 pandemic, challenges surrounding their formulation and stability became readily apparent. In this commentary, we first describe company proposals, based on available public information, for the (frozen) storage of mRNA vaccine drug products across the vaccine supply chain. We then review the literature on the pharmaceutical stability of mRNA vaccine candidates, including attempts to improve their stability, analytical techniques to monitor their stability, and regulatory guidelines covering product characterization and storage stability. We conclude that systematic approaches to identify the key physicochemical degradation mechanism(s) of formulated mRNA vaccine candidates are currently lacking. Rational design of optimally stabilized mRNA vaccine formulations during storage, transport, and administration at refrigerated or ambient temperatures should thus have top priority in the pharmaceutical development community. In addition to evidence of human immunogenicity against multiple viral pathogens, including compelling efficacy results against COVID-19, another key strength of the mRNA vaccine approach is that it is readily adaptable to rapidly address future outbreaks of new emerging infectious diseases. Consequently, we should not wait for the next pandemic to address and solve the challenges associated with the stability and storage of formulated mRNA vaccines. | J Pharm Sci | 2020 | LitCov and CORD-19 | |
| 5162 | First proof of the capability of wastewater surveillance for COVID-19 in India through detection of genetic material of SARS-CoV-2 Abstract We made the first ever successful effort in India to detect the genetic material of SARS-CoV-2 viruses to understand the capability and application of wastewater-based epidemiology (WBE) surveillance in India. Sampling was carried out on 8 and 27 May 2020 at the Old Pirana Waste Water Treatment Plant (WWTP) at Ahmedabad, Gujarat that receives effluent from Civil Hospital treating COVID-19 patients. All three, i.e. ORF1ab, N and S genes of SARS-CoV-2, were found in the influent with no genes detected in effluent collected on 8 and 27 May 2020. Increase in SARS-CoV-2 genetic loading in the wastewater between 8 and 27 May 2020 samples concurred with corresponding increase in the number of active COVID-19 patients in the city. The number of gene copies was comparable to that reported in untreated wastewaters of Australia, China and Turkey and lower than that of the USA, France and Spain. However, temporal changes in SARS-CoV-2 RNA concentrations need to be substantiated further from the perspectives of daily and short-term changes of SARS-CoV-2 in wastewater through long-term monitoring. The study results SARS-CoV-2 will assist concerned authorities and policymakers to formulate and/or upgrade COVID-19 surveillance to have a more explicit picture of the pandemic curve. While infectivity of SARS-CoV-2 through the excreted viral genetic material in the aquatic environment is still being debated, the presence and detection of genes in wastewater systems makes a strong case for the environmental surveillance of the COVID-19 pandemic. | Sci Total Environ | 2020 | LitCov and CORD-19 | |
| 5163 | SARS-CoV-2 Infection among Travelers Returning from Wuhan, China | N Engl J Med | 2020 | LitCov and CORD-19 | |
| 5164 | Repurposing of clinically developed drugs for treatment of Middle East respiratory syndrome coronavirus infection N/A | Antimicrob Agents Chemother | 2014 | CORD-19 | |
| 5165 | Droplet fate in indoor environments, or can we prevent the spread of infection? N/A | Indoor Air | 2006 | CORD-19 | |
| 5166 | Fighting against the common enemy of COVID-19: a practice of building a community with a shared future for mankind The outbreak of coronavirus disease 2019 (COVID-19) has caused more than 80 813 confirmed cases in all provinces of China, and 21 110 cases reported in 93 countries of six continents as of 7 March 2020 since middle December 2019. Due to biological nature of the novel coronavirus, named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with faster spreading and unknown transmission pattern, it makes us in a difficulty position to contain the disease transmission globally. To date, we have found it is one of the greatest challenges to human beings in fighting against COVID-19 in the history, because SARS-CoV-2 is different from SARS-CoV and MERS-CoV in terms of biological features and transmissibility, and also found the containment strategies including the non-pharmaceutical public health measures implemented in China are effective and successful. In order to prevent a potential pandemic-level outbreak of COVID-19, we, as a community of shared future for mankind, recommend for all international leaders to support preparedness in low and middle income countries especially, take strong global interventions by using old approaches or new tools, mobilize global resources to equip hospital facilities and supplies to protect noisome infections and to provide personal protective tools such as facemask to general population, and quickly initiate research projects on drug and vaccine development. We also recommend for the international community to develop better coordination, cooperation, and strong solidarity in the joint efforts of fighting against COVID-19 spreading recommended by the joint mission report of the WHO-China experts, against violating the International Health Regulation (WHO, 2005), and against stigmatization, in order to eventually win the battle against our common enemy — COVID-19. | Infect Dis Poverty | 2020 | LitCov and CORD-19 | |
| 5167 | The importance of taboos and social norms to conservation in Madagascar N/A | Conserv Biol | 2008 | CORD-19 | |
| 5168 | Cognitive and behavioural flexibility: neural mechanisms and clinical considerations Cognitive and behavioural flexibility permit the appropriate adjustment of thoughts and behaviours in response to changing environmental demands. Brain mechanisms enabling flexibility have been examined using non-invasive neuroimaging and behavioural approaches in humans alongside pharmacological and lesion studies in animals. This work has identified large-scale functional brain networks encompassing lateral and orbital frontoparietal, midcingulo-insular and frontostriatal regions that support flexibility across the lifespan. Flexibility can be compromised in early-life neurodevelopmental disorders, clinical conditions that emerge during adolescence and late-life dementias. We critically evaluate evidence for the enhancement of flexibility through cognitive training, physical activity and bilingual experience. | Nat Rev Neurosci | 2021 | CORD-19 | |
| 5169 | Turning the Page: Advancing Paper-Based Microfluidics for Broad Diagnostic Application N/A | Chem Rev | 2017 | CORD-19 | |
| 5170 | Management strategies of neonatal jaundice during the COVID-19 outbreak The outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV) has become a most challenging health emergency. Owing to rigorous quarantine and control measures taken in China, routine neonatal health surveillance and follow-up have become challenging. Without follow-up surveillance, some rapid and progressive newborn diseases, such as bilirubin encephalopathy, may be ignored. The characteristics of onset age of kernicterus suggest that monitoring of bilirubin level at home provides a useful way to alert hospital visits and to prevent the development of extremely hyperbilirubinemia. Therefore, we developed an online follow-up program for convenient monitoring of bilirubin level of newborns that is based on our practical experiences. The aim is to make our management strategies of neonatal jaundice tailored to the infection prevention and control during the COVID-19 epidemic. | World J Pediatr | 2020 | LitCov and CORD-19 | |
| 5171 | Pandemics and Supply Chain Management Research: Towards a Theoretical Toolbox The COVID‐19 pandemic paralyzed the world and revealed the critical importance of supply chain management – perhaps more so than any other event in modern history – in navigating crises. The extensive scope of disruption, massive spillover of effects across countries and industries, and extreme shifts in demand and supply that occurred during the COVID‐19 pandemic illustrate that pandemics are qualitatively different from typical disruptions. As such, pandemics require scholars to take a fresh look at what lenses offer understanding of supply chain phenomena in order to help supply chain managers better prepare for the next pandemic and foster transiliency (i.e., the ability to simultaneously restore some processes and change – often radically – others). To help scholars and managers achieve these aims, we offer an agenda for supply chain management research on pandemics by considering how the key tenets of well‐known and emergent theories can illuminate challenges and potential solutions. Specifically, we consider how resource dependence theory, institutional theory, resource orchestration theory, structural inertia, game theory, real options theory, event systems theory, awareness‐motivation‐capability framework, prospect theory, and tournament theory offer ideas that can help scholars build knowledge about pandemics’ effects on supply chains as well as help managers formulate responses. This article is protected by copyright. All rights reserved | Decis Sci | 2020 | LitCov and CORD-19 | |
| 5172 | Viral Metagenomics Revealed Sendai Virus and Coronavirus Infection of Malayan Pangolins (Manis javanica) Pangolins are endangered animals in urgent need of protection. Identifying and cataloguing the viruses carried by pangolins is a logical approach to evaluate the range of potential pathogens and help with conservation. This study provides insight into viral communities of Malayan Pangolins (Manis javanica) as well as the molecular epidemiology of dominant pathogenic viruses between Malayan Pangolin and other hosts. A total of 62,508 de novo assembled contigs were constructed, and a BLAST search revealed 3600 ones (≥300 nt) were related to viral sequences, of which 68 contigs had a high level of sequence similarity to known viruses, while dominant viruses were the Sendai virus and Coronavirus. This is the first report on the viral diversity of pangolins, expanding our understanding of the virome in endangered species, and providing insight into the overall diversity of viruses that may be capable of directly or indirectly crossing over into other mammals. | Viruses | 2019 | CORD-19 | |
| 5173 | Artificial intelligence to deep learning: machine intelligence approach for drug discovery Drug designing and development is an important area of research for pharmaceutical companies and chemical scientists. However, low efficacy, off-target delivery, time consumption, and high cost impose a hurdle and challenges that impact drug design and discovery. Further, complex and big data from genomics, proteomics, microarray data, and clinical trials also impose an obstacle in the drug discovery pipeline. Artificial intelligence and machine learning technology play a crucial role in drug discovery and development. In other words, artificial neural networks and deep learning algorithms have modernized the area. Machine learning and deep learning algorithms have been implemented in several drug discovery processes such as peptide synthesis, structure-based virtual screening, ligand-based virtual screening, toxicity prediction, drug monitoring and release, pharmacophore modeling, quantitative structure–activity relationship, drug repositioning, polypharmacology, and physiochemical activity. Evidence from the past strengthens the implementation of artificial intelligence and deep learning in this field. Moreover, novel data mining, curation, and management techniques provided critical support to recently developed modeling algorithms. In summary, artificial intelligence and deep learning advancements provide an excellent opportunity for rational drug design and discovery process, which will eventually impact mankind. The primary concern associated with drug design and development is time consumption and production cost. Further, inefficiency, inaccurate target delivery, and inappropriate dosage are other hurdles that inhibit the process of drug delivery and development. With advancements in technology, computer-aided drug design integrating artificial intelligence algorithms can eliminate the challenges and hurdles of traditional drug design and development. Artificial intelligence is referred to as superset comprising machine learning, whereas machine learning comprises supervised learning, unsupervised learning, and reinforcement learning. Further, deep learning, a subset of machine learning, has been extensively implemented in drug design and development. The artificial neural network, deep neural network, support vector machines, classification and regression, generative adversarial networks, symbolic learning, and meta-learning are examples of the algorithms applied to the drug design and discovery process. Artificial intelligence has been applied to different areas of drug design and development process, such as from peptide synthesis to molecule design, virtual screening to molecular docking, quantitative structure–activity relationship to drug repositioning, protein misfolding to protein–protein interactions, and molecular pathway identification to polypharmacology. Artificial intelligence principles have been applied to the classification of active and inactive, monitoring drug release, pre-clinical and clinical development, primary and secondary drug screening, biomarker development, pharmaceutical manufacturing, bioactivity identification and physiochemical properties, prediction of toxicity, and identification of mode of action. [Image: see text] | Mol Divers | 2021 | CORD-19 | |
| 5174 | Customers response to online food delivery services during COVID-19 outbreak using binary logistic regression This study aims to empirically measure the distinctive characteristics of customers who did and did not order food through Online Food Delivery services (OFDs) during the COVID‐19 outbreak in India. Data are collected from 462 OFDs customers. Binary logistic regression is used to examine the respondents’ characteristics, such as age, patronage frequency before the lockdown, affective and instrumental beliefs, product involvement and the perceived threat, to examine the significant differences between the two categories of OFDs customers. The binary logistic regression concludes that respondents exhibiting high‐perceived threat, less product involvement, less perceived benefit on OFDs and less frequency of online food orders are less likely to order food through OFDs. This study provides specific guidelines to create crisis management strategies. | Int J Consum Stud | 2020 | LitCov and CORD-19 | |
| 5175 | Stepping up and stepping out of COVID-19: New challenges for environmental sustainability policies in the global airline industry The allure for businesses to jettison short-term costly processes, regulatory demands and green business practices (GBPs) in the turbulent times of COVID-19 remains sky high. Although GBPs and eco-friendly policies deliver results in the long term in terms of market competitiveness (MC), in many industries firms have sought to jettison well-rooted practices in the face of the existential threats stemming from COVID-19. In this paper, we examine the new contemporary challenges of adopting and implementing environmental sustainability policies in the global airline industry in the wake of COVID-19. The analysis sheds light on firms’ level sustainability initiatives such as upgrading to environmentally friendly aircraft and offsetting emission footprint, and institutional initiatives such as the European Union Emissions Trading System and the Carbon Offsetting and Reduction Scheme for Aviation. Our analysis demonstrates that some airlines and industrial bodies sought to sidestep environmentally friendly commitments and practices to overcome new challenges such as cost pressures, survival threat and deprioritising environmental sustainability initiatives. We establish and examine the implications of the analysis. | J Clean Prod | 2020 | LitCov and CORD-19 | |
| 5176 | Teledentistry during COVID-19 pandemic BACKGROUND AND AIMS: Dentistry involve close face-to-face interaction with patients, hence during the COVID-19 pandemic, it has mostly been suspended. Teledentistry can offer an innovative solution to resume dental practice during this pandemic. In this review, we provide a brief overview of applications of teledentistry. METHODS: Articles on teledentistry, relevant to this review, were searched and consulted from PubMed, Google Scholar, and Cochrane database. RESULTS: Teledentistry is the remote facilitating of treatment, guidance, and education via the use of information technology instead of direct face-to-face contact with patients. Teleconsultation, telediagnosis, teletriage, and telemonitoring are subunits of teledentistry that have important functions relevant to dental patients. There are many challenges for acceptance of teledentistry by the dentists as well as patients, which need to be addressed urgently. CONCLUSION: Teledentistry can offer a novel solution to resume dental practice during the current pandemic, hence, the need of the hour is to incorporate teledentistry into routine dental practice. If not fully replace, at least teledentistry can complement the existing compromised dental system during the current pandemic. | Diabetes Metab Syndr | 2020 | LitCov and CORD-19 | |
| 5177 | Survivability, Partitioning and Recovery of Enveloped Viruses in Untreated Municipal Wastewater [Image: see text] Many of the devastating pandemics and outbreaks of the 20th and 21st centuries have involved enveloped viruses, including influenza, HIV, SARS, MERS, and Ebola. However, little is known about the presence and fate of enveloped viruses in municipal wastewater. Here, we compared the survival and partitioning behavior of two model enveloped viruses (MHV and ϕ6) and two nonenveloped bacteriophages (MS2 and T3) in raw wastewater samples. We showed that MHV and ϕ6 remained infective on the time scale of days. Up to 26% of the two enveloped viruses adsorbed to the solid fraction of wastewater compared to 6% of the two nonenveloped viruses. Based on this partitioning behavior, we assessed and optimized methods for recovering enveloped viruses from wastewater. Our optimized ultrafiltration method resulted in mean recoveries (±SD) of 25.1% (±3.6%) and 18.2% (±9.5%) for the enveloped MHV and ϕ6, respectively, and mean recoveries of 55.6% (±16.7%) and 85.5% (±24.5%) for the nonenveloped MS2 and T3, respectively. A maximum of 3.7% of MHV and 2% of MS2 could be recovered from the solids. These results shed light on the environmental fate of an important group of viruses and the presented methods will enable future research on enveloped viruses in water environments. | Environ Sci Technol | 2016 | CORD-19 | |
| 5178 | An overview of coronaviruses including the SARS-2 coronavirus-Molecular biology, epidemiology and clinical implications Abstract Coronavirus infections have emerged as epidemic and pandemic threats in last two decades. After the H1N1 influenza pandemic in 2009, recently diagnosed novel betacoronavirus or severe acute respiratory syndrome coronavirus (SARS-CoV)-2 has spread across 203 countries and territories in all 5 major continents. World Health Organization (WHO) declared this as a public health emergency of international concern on January 30, 2020. Subsequently on February 11, 2020 a new name was given to this disease i.e. COVID-19 by an expert group from WHO. As of April 12, 2020, 10:00 CET, GMT+2:00, 1,696,588 confirmed cases and 105,952 confirmed deaths have been reported to the WHO. (Coronavirus disease 2019, situation report 83). It possibly originated from a small animal market in Wuhan, China. A cluster of patients were admitted with unusual pneumonia not responding to treatment in various hospitals. Epidemiological, genomic analysis and correlation with other coronaviruses led to the isolation of new coronavirus, closely resembling the bat coronaviruses, from such patients in Wuhan. They were identified as the SARS-CoV-2. This virus infection presents as influenza like illness in the affected people. Fever, cough, respiratory distress with fatigue, diarrhea, nausea and vomiting are common symptoms seen in adults. This may progress on to respiratory distress, hypoxia, need for oxygen supplementation and ventilator support as seen in patients in the SARS-CoV-1 epidemic (2003) in Guangdong, China. The transmissibility of SARS-CoV-1 was less as compared to SARS-CoV-2 infection, and it was well controlled with good public health efforts. The present COVID-19 epidemic is still in the acceleration phase of 3 and 4 in various countries. Without any effective antiviral agents available at present, the need of the hour is early case detection, isolation of cases, use of good preventive care measures by the household contacts and in the hospital set up. The results of ongoing clinical trials on hydroxychloroquine, azithromycin alone or in combination and a new antiviral agent remdesivir may help to treat some of the infections. A need for effective vaccine is being seen an as good preventive strategy in this pandemic. However the results of clinical trials and incorporation of vaccines in public health programs is a long way to go. | Curr Med Res Pract | 2020 | LitCov and CORD-19 | |
| 5179 | Psychometric Validation of the Bangla Fear of COVID-19 Scale: Confirmatory Factor Analysis and Rasch Analysis The recently developed Fear of COVID-19 Scale (FCV-19S) is a seven-item uni-dimensional scale that assesses the severity of fears of COVID-19. Given the rapid increase of COVID-19 cases in Bangladesh, we aimed to translate and validate the FCV-19S in Bangla. The forward-backward translation method was used to translate the English version of the questionnaire into Bangla. The reliability and validity properties of the Bangla FCV-19S were rigorously psychometrically evaluated (utilizing both confirmatory factor analysis and Rasch analysis) in relation to socio-demographic variables, national lockdown variables, and response to the Bangla Health Patient Questionnaire. The sample comprised 8550 Bangladeshi participants. The Cronbach α value for the Bangla FCV-19S was 0.871 indicating very good internal reliability. The results of the confirmatory factor analysis showed that the uni-dimensional factor structure of the FCV-19S fitted well with the data. The FCV-19S was significantly correlated with the nine-item Bangla Patient Health Questionnaire (PHQ-90) (r = 0.406, p < 0.001). FCV-19S scores were significantly associated with higher worries concerning lockdown. Measurement invariance of the FCV-19S showed no differences with respect to age or gender. The Bangla version of FCV-19S is a valid and reliable tool with robust psychometric properties which will be useful for researchers carrying out studies among the Bangla speaking population in assessing the psychological impact of fear from COVID-19 infection during this pandemic. | Int J Ment Health Addict | 2020 | LitCov and CORD-19 | |
| 5180 | Radiographic and CT Features of Viral Pneumonia N/A | Radiographics | 2018 | CORD-19 | |
| 5181 | Early impact of COVID-19 on transplant center practices and policies in the United States COVID‐19 is a novel, rapidly changing pandemic: consequently, evidence‐based recommendations in solid organ transplantation (SOT) remain challenging and unclear. To understand the impact on transplant activity across the United States, and center‐level variation in testing, clinical practice, and policies, we conducted a national survey between March 24, 2020 and March 31, 2020 and linked responses to the COVID‐19 incidence map. Response rate was a very high 79.3%, reflecting a strong national priority to better understand COVID‐19. Complete suspension of live donor kidney transplantation was reported by 71.8% and live donor liver by 67.7%. While complete suspension of deceased donor transplantation was less frequent, some restrictions to deceased donor kidney transplantation were reported by 84.0% and deceased donor liver by 73.3%; more stringent restrictions were associated with higher regional incidence of COVID‐19. Shortage of COVID‐19 tests was reported by 42.5%. Respondents reported a total of 148 COVID‐19 recipients from <1 to >10 years posttransplant: 69.6% were kidney recipients, and 25.0% were critically ill. Hydroxychloroquine (HCQ) was used by 78.1% of respondents; azithromycin by 46.9%; tocilizumab by 31.3%, and remdesivir by 25.0%. There is wide heterogeneity in center‐level response across the United States; ongoing national data collection, expert discussion, and clinical studies are critical to informing evidence‐based practices. | Am J Transplant | 2020 | LitCov and CORD-19 | |
| 5182 | A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis Coronavirus disease 2019 (COVID-19) has spread globally, and medical resources become insufficient in many regions. Fast diagnosis of COVID-19, and finding high-risk patients with worse prognosis for early prevention and medical resources optimisation is important. Here, we proposed a fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis by routinely used computed tomography. We retrospectively collected 5372 patients with computed tomography images from 7 cities or provinces. Firstly, 4106 patients with computed tomography images were used to pre-train the DL system, making it learn lung features. Afterwards, 1266 patients (924 with COVID-19, and 471 had follow-up for 5+ days; 342 with other pneumonia) from 6 cities or provinces were enrolled to train and externally validate the performance of the deep learning system. In the 4 external validation sets, the deep learning system achieved good performance in identifying COVID-19 from other pneumonia (AUC=0.87 and 0.88) and viral pneumonia (AUC=0.86). Moreover, the deep learning system succeeded to stratify patients into high-risk and low-risk groups whose hospital-stay time have significant difference (p=0.013 and 0.014). Without human-assistance, the deep learning system automatically focused on abnormal areas that showed consistent characteristics with reported radiological findings. Deep learning provides a convenient tool for fast screening COVID-19 and finding potential high-risk patients, which may be helpful for medical resource optimisation and early prevention before patients show severe symptoms. | Eur Respir J | 2020 | LitCov and CORD-19 | |
| 5183 | Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets Chest CT is emerging as a valuable diagnostic tool for clinical management of COVID-19 associated lung disease. Artificial intelligence (AI) has the potential to aid in rapid evaluation of CT scans for differentiation of COVID-19 findings from other clinical entities. Here we show that a series of deep learning algorithms, trained in a diverse multinational cohort of 1280 patients to localize parietal pleura/lung parenchyma followed by classification of COVID-19 pneumonia, can achieve up to 90.8% accuracy, with 84% sensitivity and 93% specificity, as evaluated in an independent test set (not included in training and validation) of 1337 patients. Normal controls included chest CTs from oncology, emergency, and pneumonia-related indications. The false positive rate in 140 patients with laboratory confirmed other (non COVID-19) pneumonias was 10%. AI-based algorithms can readily identify CT scans with COVID-19 associated pneumonia, as well as distinguish non-COVID related pneumonias with high specificity in diverse patient populations. | Nat Commun | 2020 | LitCov and CORD-19 | |
| 5184 | Acute Pulmonary Embolism in COVID-19 Patients on CT Angiography and Relationship to D-Dimer Levels | Radiology | 2020 | LitCov and CORD-19 | |
| 5185 | Mathematical assessment of the impact of non-pharmaceutical interventions on curtailing the 2019 novel Coronavirus A pandemic of a novel Coronavirus emerged in December of 2019 (COVID-19), causing devastating public health impact across the world. In the absence of a safe and effective vaccine or antivirals, strategies for controlling and mitigating the burden of the pandemic are focused on non-pharmaceutical interventions, such as social-distancing, contact-tracing, quarantine, isolation, and the use of face-masks in public. We develop a new mathematical model for assessing the population-level impact of the aforementioned control and mitigation strategies. Rigorous analysis of the model shows that the disease-free equilibrium is locally-asymptotically stable if a certain epidemiological threshold, known as the reproduction number (denoted by [Formula: see text]), is less than unity. Simulations of the model, using data relevant to COVID-19 transmission dynamics in the US state of New York and the entire US, show that the pandemic burden will peak in mid and late April, respectively. The worst-case scenario projections for cumulative mortality (based on the baseline levels of anti-COVID non-pharmaceutical interventions considered in the study) decrease dramatically by 80% and 64%, respectively, if the strict social-distancing measures implemented are maintained until the end of May or June, 2020. The duration and timing of the relaxation or termination of the strict social-distancing measures are crucially-important in determining the future trajectory of the COVID-19 pandemic. This study shows that early termination of the strict social-distancing measures could trigger a devastating second wave with burden similar to those projected before the onset of the strict social-distancing measures were implemented. The use of efficacious face-masks (such as surgical masks, with estimated efficacy [Formula: see text] 70%) in public could lead to the elimination of the pandemic if at least 70% of the residents of New York state use such masks in public consistently (nationwide, a compliance of at least 80% will be required using such masks). The use of low efficacy masks, such as cloth masks (of estimated efficacy less than 30%), could also lead to significant reduction of COVID-19 burden (albeit, they are not able to lead to elimination). Combining low efficacy masks with improved levels of the other anti-COVID-19 intervention strategies can lead to the elimination of the pandemic. This study emphasizes the important role social-distancing plays in curtailing the burden of COVID-19. Increases in the adherence level of social-distancing protocols result in dramatic reduction of the burden of the pandemic, and the timely implementation of social-distancing measures in numerous states of the US may have averted a catastrophic outcome with respect to the burden of COVID-19. Using face-masks in public (including the low efficacy cloth masks) is very useful in minimizing community transmission and burden of COVID-19, provided their coverage level is high. The masks coverage needed to eliminate COVID-19 decreases if the masks-based intervention is combined with the strict social-distancing strategy. | Math Biosci | 2020 | LitCov and CORD-19 | |
| 5186 | Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems [Image: see text] Machine learning models are poised to make a transformative impact on chemical sciences by dramatically accelerating computational algorithms and amplifying insights available from computational chemistry methods. However, achieving this requires a confluence and coaction of expertise in computer science and physical sciences. This Review is written for new and experienced researchers working at the intersection of both fields. We first provide concise tutorials of computational chemistry and machine learning methods, showing how insights involving both can be achieved. We follow with a critical review of noteworthy applications that demonstrate how computational chemistry and machine learning can be used together to provide insightful (and useful) predictions in molecular and materials modeling, retrosyntheses, catalysis, and drug design. | Chem Rev | 2021 | CORD-19 | |
| 5187 | Perinatal aspects on the covid-19 pandemic: a practical resource for perinatal-neonatal specialists BACKGROUND: Little is known about the perinatal aspects of COVID-19. OBJECTIVE: To summarize available evidence and provide perinatologists/neonatologists with tools for managing their patients. METHODS: Analysis of available literature on COVID-19 using Medline and Google scholar. RESULTS: From scant data: vertical transmission from maternal infection during the third trimester probably does not occur or likely it occurs very rarely. Consequences of COVID-19 infection among women during early pregnancy remain unknown. We cannot conclude if pregnancy is a risk factor for more severe disease in women with COVID-19. Little is known about disease severity in neonates, and from very few samples, the presence of SARS-CoV-2 has not been documented in human milk. Links to websites of organizations with updated COVID-19 information are provided. Infographics summarize an approach to the pregnant woman or neonate with suspected or confirmed COVID-19. CONCLUSIONS: As the pandemic continues, more data will be available that could lead to changes in current knowledge and recommendations. | J Perinatol | 2020 | LitCov and CORD-19 | |
| 5188 | COVID-19: A review of therapeutic strategies and vaccine candidates The world is engulfed by one of the most widespread and significant public health crises in decades as COVID-19 has become among the leading causes of death internationally. The novel SARS-CoV-2 coronavirus which causes COVID-19 has unified the scientific community in search of therapeutic and preventative solutions. The top priorities at the moment are twofold: first, to repurpose already-approved pharmacologic agents or develop novel therapies to reduce the morbidity and mortality associated with the ever-spreading virus. Secondly, the scientific and larger pharmaceutical community have been tasked with the development, testing, and production of a safe and effective vaccine as a longer-term solution to prevent further spread and recurrence throughout the populace. The purpose of this article is to review the most up-to-date published data regarding both the leading pharmacological therapies undergoing clinical trials and vaccine candidates in development to stem the threat of COVID-19. | Clin Immunol | 2020 | LitCov and CORD-19 | |
| 5189 | 'It will change everything': DeepMind's AI makes gigantic leap in solving protein structures N/A | Nature | 2020 | CORD-19 | |
| 5190 | Applying relationship science to evaluate how the COVID-19 pandemic may impact couples' relationships N/A | Am Psychol | 2021 | LitCov and CORD-19 | |
| 5191 | SARS-CoV-2 variants and ending the COVID-19 pandemic | Lancet | 2021 | LitCov and CORD-19 | |
| 5192 | Timely blood glucose management for the outbreak of 2019 novel coronavirus disease is urgently needed | Diabetes Res Clin Pract | 2020 | LitCov and CORD-19 | |
| 5193 | An overview of mobile applications (apps) to support the COVID-19 response in India BACKGROUND & OBJECTIVES: The potential benefits of mobile health (mHealth) initiatives to manage the coronavirus disease 2019 (COVID-19) pandemic have been explored. The Government of India, State governments, and healthcare organizations have developed various mobile apps for the containment of COVID-19. This study was aimed to systematically review COVID-19 related mobile apps and highlight gaps to inform the development of future mHealth initiatives. METHODS: Google Play and the Apple app stores were searched using the terms 'COVID-19', 'coronavirus', 'pandemic', and 'epidemic' in the first week of April 2020. A list of COVID-19-specific functions was compiled based on the review of the selected apps, the literature on epidemic surveillance, and national and international media reports. The World Health Organization guideline on Digital Health Interventions was used to classify the app functions under the categories of the general public, health workers, health system managers, and data services. RESULTS: The search yielded 346 potential COVID-19 apps, of which 50 met the inclusion criteria. Dissemination of untargeted COVID-19-related information on preventative strategies and monitoring the movements of quarantined individuals was the function of 27 (54%) and 19 (32%) apps, respectively. Eight (16%) apps had a contact tracing and hotspot identification function. INTERPRETATION & CONCLUSIONS: Our study highlights the current emphasis on the development of self-testing, quarantine monitoring, and contact tracing apps. India's response to COVID-19 can be strengthened by developing comprehensive mHealth solutions for frontline healthcare workers, rapid response teams and public health authorities. Among this unprecedented global health emergency, the Governments must ensure the necessary but least intrusive measures for disease surveillance. | Indian J Med Res | 2020 | LitCov and CORD-19 | |
| 5194 | 'Like a rug had been pulled from under you': The impact of COVID-19 on teachers in England during the first six weeks of the UK lockdown BACKGROUND: On 20 March 2020, in response to COVID‐19, UK schools were closed to most pupils. Teachers were required to put remote teaching and learning in place with only two days’ notice from the government. AIMS: The current study explores teachers’ experiences of this abrupt change to their working practices, and during the 5–6 weeks that followed. SAMPLE: Twenty‐four teachers from English state schools were interviewed, representing mainstream primary and secondary schools and a range of years of experience and seniority. METHODS: Participants were asked to tell stories of three key scenes during the first 5–6 weeks of lockdown: a low point, a high point, and a turning point. A reflexive thematic analysis of their narratives was conducted. RESULTS AND CONCLUSIONS: Six themes were identified: uncertainty, finding a way, worry for the vulnerable, importance of relationships, teacher identity, and reflections. Teachers’ narratives suggest that, after an initial period of uncertainty they settled into the situation and found a way forward, supported by strong relationships. However, they remain extremely worried about the most vulnerable pupils and want more joined‐up thinking from the government on how to support them effectively, along with clarity from policymakers to enable planning ahead. Teachers reflected on how to use their learning during this period to improve pupils’ experiences of education post‐COVID‐19, and on how aspects of shared teacher identity have worked as stressors and coping mechanisms. These initial interviews form the baseline for a longitudinal interview study of teachers’ experiences of COVID‐19 in England. | Br J Educ Psychol | 2020 | LitCov and CORD-19 | |
| 5195 | Hypertension is associated with increased mortality and severity of disease in COVID-19 pneumonia: A systematic review, meta-analysis and meta-regression OBJECTIVE: To investigate the association between hypertension and outcome in patients with Coronavirus Disease 2019 (COVID-19) pneumonia. METHODS: We performed a systematic literature search from several databases on studies that assess hypertension and outcome in COVID-19. Composite of poor outcome, comprising of mortality, severe COVID-19, acute respiratory distress syndrome (ARDS), need for intensive care unit (ICU) care and disease progression were the outcomes of interest. RESULTS: A total of 6560 patients were pooled from 30 studies. Hypertension was associated with increased composite poor outcome (risk ratio (RR) 2.11 (95% confidence interval (CI) 1.85, 2.40), p < 0.001; I(2), 44%) and its sub-group, including mortality (RR 2.21 (1.74, 2.81), p < 0.001; I(2), 66%), severe COVID-19 (RR 2.04 (1.69, 2.47), p < 0.001; I(2) 31%), ARDS (RR 1.64 (1.11, 2.43), p = 0.01; I(2),0%, p = 0.35), ICU care (RR 2.11 (1.34, 3.33), p = 0.001; I(2) 18%, p = 0.30), and disease progression (RR 3.01 (1.51, 5.99), p = 0.002; I(2) 0%, p = 0.55). Meta-regression analysis showed that gender (p = 0.013) was a covariate that affects the association. The association was stronger in studies with a percentage of males < 55% compared to ⩾ 55% (RR 2.32 v. RR 1.79). CONCLUSION: Hypertension was associated with increased composite poor outcome, including mortality, severe COVID-19, ARDS, need for ICU care and disease progression in patients with COVID-19. | J Renin Angiotensin Aldosteron | 2020 | LitCov and CORD-19 | |
| 5196 | Responding to COVID-19: The UW Medicine Information Technology Services Experience Background UW Medicine was one of the first health systems to encounter and treat COVID-19 patients in the United States, starting in late February 2020. Objective Here we describe the rapid rollout of capabilities by UW Medicine Information Technology Services (ITS) to support our clinical response to the COVID-19 pandemic and provide recommendations for health systems to urgently consider, as they plan their own response to this and potentially other future pandemics. Methods Our recommendations include establishing a hospital incident command structure that includes tight integration with IT, creating automated dashboards for incident command, optimizing emergency communication to staff and patients, and preparing human resources, security, other policies, and equipment to support the transition of all nonessential staff to telework. We describe how UW Medicine quickly expanded telemedicine capabilities to include most primary care providers and increasing numbers of specialty providers. We look at how we managed expedited change control processes to quickly update electronic health records (EHR) with new COVID-19 laboratory and clinical workflows. We also examine the integration of new technology such as tele–intensive care (ICU) equipment and improved integration with teleconferencing software into our EHR. To support the rapid preparation for COVID-19 at other health systems, we include samples of the UW Medicine's COVID-19 order set, COVID-19 documentation template, dashboard metric categories, and a list of the top 10 things your health care IT organization can do now to prepare. Conclusion The COVID-19 response requires new and expedited ways of approaching ITS support to clinical needs. UW Medicine ITS leadership hope that by quickly sharing our nimble response to clinical and operational requests, we can help other systems prepare to respond to this public health emergency. | Appl Clin Inform | 2020 | LitCov and CORD-19 | |
| 5197 | A systematic review of barriers to data sharing in public health BACKGROUND: In the current information age, the use of data has become essential for decision making in public health at the local, national, and global level. Despite a global commitment to the use and sharing of public health data, this can be challenging in reality. No systematic framework or global operational guidelines have been created for data sharing in public health. Barriers at different levels have limited data sharing but have only been anecdotally discussed or in the context of specific case studies. Incomplete systematic evidence on the scope and variety of these barriers has limited opportunities to maximize the value and use of public health data for science and policy. METHODS: We conducted a systematic literature review of potential barriers to public health data sharing. Documents that described barriers to sharing of routinely collected public health data were eligible for inclusion and reviewed independently by a team of experts. We grouped identified barriers in a taxonomy for a focused international dialogue on solutions. RESULTS: Twenty potential barriers were identified and classified in six categories: technical, motivational, economic, political, legal and ethical. The first three categories are deeply rooted in well-known challenges of health information systems for which structural solutions have yet to be found; the last three have solutions that lie in an international dialogue aimed at generating consensus on policies and instruments for data sharing. CONCLUSIONS: The simultaneous effect of multiple interacting barriers ranging from technical to intangible issues has greatly complicated advances in public health data sharing. A systematic framework of barriers to data sharing in public health will be essential to accelerate the use of valuable information for the global good. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2458-14-1144) contains supplementary material, which is available to authorized users. | BMC Public Health | 2014 | CORD-19 | |
| 5198 | Exploring nurses' experiences of psychological distress during care of patients with COVID-19: a qualitative study BACKGROUND: COVID-19 infection is a new disease that infects a large number of people, killing a ratio of whom every day in the world. Healthcare staff, especially nurses, experience a great deal of psychological distress during care of COVID-19 patients. Detecting factors that disturb nurses’ mental health during care of these patients can help to reduce their psychological distress. Therefore, this study aimed to explore nurses’ experiences of psychological distress during care of patients with COVID-19. METHODS: The present qualitative research was performed using the conventional content analysis method in Iran from March to May 2020. Participants in this study included the nurses caring for patients with COVID-19, and they were selected based on the purposeful sampling method. The data was collected through 20 phone call interviews and analyzed based on the method proposed by Lundman and Graneheim. RESULTS: Qualitative data analysis revealed 11 categories including death anxiety, anxiety due to the nature of the disease, anxiety caused by corpse burial, fear of infecting the family, distress about time wasting, emotional distress of delivering bad news, fear of being contaminated, the emergence of obsessive thoughts, the bad feeling of wearing personal protective equipment, conflict between fear and conscience, and the public ignorance of preventive measures. CONCLUSION: The data showed that the nurses experienced a variety of psychological distress during care of patients with COVID-19. Through proper planning by authorities, it is possible to manage the risk factors of mental health distress in nurses and improve their mental health status. | BMC Psychiatry | 2020 | LitCov and CORD-19 | |
| 5199 | Remdesivir and SARS-CoV-2: Structural requirements at both nsp12 RdRp and nsp14 Exonuclease active-sites The rapid global emergence of SARS-CoV-2 has been the cause of significant health concern, highlighting the immediate need for antivirals. Viral RNA-dependent RNA polymerases (RdRp) play essential roles in viral RNA synthesis, and thus remains the target of choice for the prophylactic or curative treatment of several viral diseases, due to high sequence and structural conservation. To date, the most promising broad-spectrum class of viral RdRp inhibitors are nucleoside analogues (NAs), with over 25 approved for the treatment of several medically important viral diseases. However, Coronaviruses stand out as a particularly challenging case for NA drug design due to the presence of an exonuclease (ExoN) domain capable of excising incorporated NAs and thus providing resistance to many of these available antivirals. Here we use the available structures of the SARS-CoV RdRp and ExoN proteins, as well as Lassa virus N exonuclease to derive models of catalytically competent SARS-CoV-2 enzymes. We then map a promising NA candidate, GS-441524 (the active metabolite of Remdesivir) to the nucleoside active site of both proteins, identifying the residues important for nucleotide recognition, discrimination, and excision. Interestingly, GS-441524 addresses both enzyme active sites in a manner consistent with significant incorporation, delayed chain termination, and altered excision due to the ribose 1'-CN group, which may account for the increased antiviral effect compared to other available analogues. Additionally, we propose structural and function implications of two previously identified RdRp resistance mutations in relation to resistance against Remdesivir. This study highlights the importance of considering the balance between incorporation and excision properties of NAs between the RdRp and ExoN. | Antiviral Res | 2020 | LitCov and CORD-19 | |
| 5200 | Factors associated with psychological distress, fear and coping strategies during the COVID-19 pandemic in Australia BACKGROUND: The COVID-19 pandemic disrupted the personal, professional and social life of Australians with some people more impacted than others. OBJECTIVES: This study aimed to identify factors associated with psychological distress, fear and coping strategies during the COVID-19 pandemic in Australia. METHODS: A cross-sectional online survey was conducted among residents in Australia, including patients, frontline health and other essential service workers, and community members during June 2020. Psychological distress was assessed using the Kessler Psychological Distress Scale (K10); level of fear was assessed using the Fear of COVID-19 Scale (FCV-19S); and coping strategies were assessed using the Brief Resilient Coping Scale (BRCS). Logistic regression was used to identify factors associated with the extent of psychological distress, level of fear and coping strategies while adjusting for potential confounders. RESULTS: Among 587 participants, the majority (391, 73.2%) were 30–59 years old and female (363, 61.8%). More than half (349, 59.5%) were born outside Australia and two-third (418, 71.5%) completed at least a Bachelor’s degree. The majority (401, 71.5%) had a source of income, 243 (42.3%) self-identified as a frontline worker, and 335 (58.9%) reported financial impact due to COVID-19. Comorbidities such as pre-existing mental health conditions (AOR 3.13, 95% CIs 1.12–8.75), increased smoking (8.66, 1.08–69.1) and alcohol drinking (2.39, 1.05–5.47) over the last four weeks, high levels of fear (2.93, 1.83–4.67) and being female (1.74, 1.15–2.65) were associated with higher levels of psychological distress. Perceived distress due to change of employment status (4.14, 1.39–12.4), alcohol drinking (3.64, 1.54–8.58), providing care to known or suspected cases (3.64, 1.54–8.58), being female (1.56, 1.00–2.45), being 30–59 years old (2.29, 1.21–4.35) and having medium to high levels of psychological distress (2.90, 1.82–5.62) were associated with a higher level of fear; while healthcare service use in the last four weeks was associated with medium to high resilience. CONCLUSIONS: This study identified individuals who were at higher risk of distress and fear during the COVID-19 pandemic specifically in the State of Victoria, Australia. Specific interventions to support the mental wellbeing of these individuals should be considered in addition to the existing resources within primary healthcare settings. | Global Health | 2020 | LitCov and CORD-19 |
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(3) Currently tweets of June 23rd to June 29th 2022 have been considered.