| Title | Venue | Year | Impact | Source |
| 7701 | Vulnerabilities in coronavirus glycan shields despite extensive glycosylation Severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) coronaviruses (CoVs) are zoonotic pathogens with high fatality rates and pandemic potential. Vaccine development focuses on the principal target of the neutralizing humoral immune response, the spike (S) glycoprotein. Coronavirus S proteins are extensively glycosylated, encoding around 66–87 N-linked glycosylation sites per trimeric spike. Here, we reveal a specific area of high glycan density on MERS S that results in the formation of oligomannose-type glycan clusters, which were absent on SARS and HKU1 CoVs. We provide a comparison of the global glycan density of coronavirus spikes with other viral proteins including HIV-1 envelope, Lassa virus glycoprotein complex, and influenza hemagglutinin, where glycosylation plays a known role in shielding immunogenic epitopes. Overall, our data reveal how organisation of glycosylation across class I viral fusion proteins influence not only individual glycan compositions but also the immunological pressure across the protein surface. | Nat Commun | 2020 | | LitCov and CORD-19 |
| 7702 | Fabrication and Applications of Microfluidic Devices: A Review Microfluidics is a relatively newly emerged field based on the combined principles of physics, chemistry, biology, fluid dynamics, microelectronics, and material science. Various materials can be processed into miniaturized chips containing channels and chambers in the microscale range. A diverse repertoire of methods can be chosen to manufacture such platforms of desired size, shape, and geometry. Whether they are used alone or in combination with other devices, microfluidic chips can be employed in nanoparticle preparation, drug encapsulation, delivery, and targeting, cell analysis, diagnosis, and cell culture. This paper presents microfluidic technology in terms of the available platform materials and fabrication techniques, also focusing on the biomedical applications of these remarkable devices. | Int J Mol Sci | 2021 | | CORD-19 |
| 7703 | Mapping the incidence of the COVID-19 hotspot in Iran-Implications for Travellers | Travel Med Infect Dis | 2020 | | LitCov and CORD-19 |
| 7704 | IgA-Ab response to spike glycoprotein of SARS-CoV-2 in patients with COVID-19: A longitudinal study Abstract Validation studies of serological antibody tests must be properly designed for clinical, epidemiological and Public Health objectives such as confirmation of suspected COVID-19 cases, certification of seroconversion after infection, and epidemiological surveillance. We evaluated the kinetics of IgM, IgA and IgG SARS-CoV-2 antibodies in COVID-19 patients with confirmed (rRT-PCR) infection. We found that the IgA response appears and grows early, peaks at week 3, and it is stronger and more persistent than the IgM response. Further longitudinal investigations of virus-specific antibodies functions and of their protective efficacy over time are needed. | Clin Chim Acta | 2020 | | LitCov and CORD-19 |
| 7705 | The COVID-19 pandemic: A rapid global response for children with cancer from SIOP, COG, SIOP-E, SIOP-PODC, IPSO, PROS, CCI and St Jude Global The COVID‐19 pandemic is one of the most serious global challenges to delivering affordable and equitable treatment to children with cancer we have witnessed in the last few decades. This Special Report aims to summarize general principles for continuing multidisciplinary care during the SARS‐CoV‐2 (COVID‐19) pandemic. With contributions from the leadership of the International Society for Pediatric Oncology (SIOP), Children's Oncology Group (COG), St Jude Global program, and Childhood Cancer International, we have sought to provide a framework for healthcare teams caring for children with cancer during the pandemic. We anticipate the burden will fall particularly heavily on children, their families, and cancer services in low‐ and middle‐income countries. Therefore, we have brought together the relevant clinical leads from SIOP Europe, COG, and SIOP‐PODC (Pediatric Oncology in Developing Countries) to focus on the six most curable cancers that are part of the WHO Global Initiative in Childhood Cancer. We provide some practical advice for adapting diagnostic and treatment protocols for children with cancer during the pandemic, the measures taken to contain it (e.g., extreme social distancing), and how to prepare for the anticipated recovery period. | Pediatr Blood Cancer | 2020 | | LitCov and CORD-19 |
| 7706 | COVID-19 in Brazil: advantages of a socialized unified health system and preparation to contain cases The outbreak of new coronavirus disease 2019 (COVID-19) reported for the first time in Wuhan, China in late December 2019 have rapidly spread to other countries and it was declared on January 30, 2020 as a public health emergency of international concern (PHEIC) by the World Health Organization. Before the first COVID-19 cases were reported in Brazil, several measures have been implemented including the adjustment of legal framework to carry out isolation and quarantine. As the cases increased significantly, new measures, mainly to reduce mortality and severe cases, have also been implemented. Rapid and robust preparedness actions have been undertaken in Brazil while first cases have not yet been identified in Latin-American. The outcome of this early preparation should be analyzed in future studies. | Rev Soc Bras Med Trop | 2020 | | LitCov and CORD-19 |
| 7707 | COVID-19 and Severe Mental Illness: Impact on patients and its relation with their awareness about COVID-19 COVID-19 outbreak has promoted many public health measures in the general population. However, its impact on a vulnerable population with severe mental illness (SMI) is less addressed. Aim of this study was to determine the impact of COVID -19 to patients with SMI and identify its relation with their COVID-19 knowledge. A cross-sectional telephonic survey among 132 patients with SMI who were clinically stable before the COVID-19 pandemic was conducted. A 23 item interview proforma comprising of self-reported knowledge related to COVID-19 by patients and their illness and treatment status from their caregivers. Eleven patients were completely not aware of the ongoing COVID-19 pandemic. Three fourth of patients were not worried about getting COVID-19 and lacks adequate knowledge to identify symptoms. Two-third of patients lacked adequate knowledge of precautionary measures against COVID-19. One out of five patients lacked knowledge of the mode of transmission and stopped their psychiatric treatment. Thirty percent showed features of relapse of symptoms during this lockdown period. In multivariate regression analysis, patients from lower socioeconomic status, low literacy levels, with inadequate social support showed less knowledge related to COVID-19. Mental health services which target this vulnerable population during early disaster reduce the burden to the community. | Psychiatry Res | 2020 | | LitCov and CORD-19 |
| 7708 | Lungs as target of COVID-19 infection: Protective common molecular mechanisms of vitamin D and melatonin as a new potential synergistic treatment COVID-19 pandemic has a high mortality rate and is affecting practically the entire world population. The leading cause of death is severe acute respiratory syndrome as a consequence of exacerbated inflammatory response accompanied by uncontrolled oxidative stress as well as the inflammatory reaction at the lung level. Until now, there is not a specific and definitive treatment for this pathology that worries the world population, especially the older adults who constitute the main risk group. In this context, it results in a particular interest in the evaluation of the efficacy of existing pharmacological agents that may be used for overcoming or attenuating the severity of this pulmonary complication that has ended the lives of many people worldwide. Vitamin D and melatonin could be good options for achieving this aim, taking into account that they have many shared underlying mechanisms that are able to modulate and control the immune adequately and oxidative response against COVID-19 infection, possibly even through a synergistic interaction. The renin-angiotensin system exaltation with consequent inflammatory response has a leading role in the physiopathology of COVID-19 infection; and it may be down-regulated by vitamin D and melatonin in many organs. Therefore, it is also essential to analyze this potential therapeutic association and their relation with RAS as part of this new approach. | Life Sci | 2020 | | LitCov and CORD-19 |
| 7709 | Ayurveda and COVID-19: Where psychoneuroimmunology and the meaning response meet Abstract The COVID-19 pandemic has led to high levels of psychological distress in the general public, including symptoms of anxiety and depression. Such distress is associated with alterations in immune function, including an elevated risk of viral respiratory tract infections. In this light, the possible effects of Ayurveda, a traditional system of medicine promoted by the Indian government as an “immune booster”, are examined from the point of view of psychoneuroimmune mechanisms as well as the “meaning response” described by Moerman. It was found that many of the measures advocated in their guidelines could positively influence immunity either by direct effects on symptoms of depression or anxiety, or through their symbolic significance. Therefore, it is possible that such traditional practices could be beneficial both in terms of psychological quality of life, and in terms of moderating the risk of infection. | Brain Behav Immun | 2020 | | LitCov and CORD-19 |
| 7710 | Duration of Antibody Responses after Severe Acute Respiratory Syndrome Among 176 patients who had had severe acute respiratory syndrome (SARS), SARS-specific antibodies were maintained for an average of 2 years, and significant reduction of immunoglobulin G–positive percentage and titers occurred in the third year. Thus, SARS patients might be susceptible to reinfection >3 years after initial exposure. | Emerg Infect Dis | 2007 | | CORD-19 |
| 7711 | Exploring links between vitamin D deficiency and COVID-19 Coronavirus Disease 2019 (COVID-19) pandemic remains a major public health threat in most countries. The causative severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus can lead to acute respiratory distress syndrome and result in mortality in COVID-19 patients. Vitamin D is an immunomodulator hormone with established effectiveness against various upper respiratory infections. Vitamin D can stall hyper-inflammatory responses and expedite healing process of the affected areas, primarily in the lung tissue. Thus, there are ecological and mechanistic reasons to promote exploration of vitamin D action in COVID-19 patients. As no curative drugs are available currently for COVID-19, we feel that the potential of vitamin D to alter the course of disease severity needs to be investigated. Clinical studies may be undertaken to address the value of vitamin D supplementation in deficient, high-risk COVID-19 patients. | PLoS Pathog | 2020 | | LitCov and CORD-19 |
| 7712 | Exercise and well-being during COVID-19-time to boost your immunity N/A | Expert Rev Anti Infect Ther | 2020 | | LitCov and CORD-19 |
| 7713 | Axonal Transport Enables Neuron-to-Neuron Propagation of Human Coronavirus OC43 N/A | J Virol | 2018 | | CORD-19 |
| 7714 | Sustainable health promotion for the seniors during COVID-19 outbreak: a lesson from Tokyo N/A | J Infect Dev Ctries | 2020 | | LitCov and CORD-19 |
| 7715 | Who is wearing a mask? Gender-, age- and location-related differences during the COVID-19 pandemic Masks are an effective tool in combatting the spread of COVID-19, but some people still resist wearing them and mask-wearing behavior has not been experimentally studied in the United States. To understand the demographics of mask wearers and resistors, and the impact of mandates on mask-wearing behavior, we observed shoppers (n = 9935) entering retail stores during periods of June, July, and August 2020. Approximately 41% of the June sample wore a mask. At that time, the odds of an individual wearing a mask increased significantly with age and was also 1.5x greater for females than males. Additionally, the odds of observing a mask on an urban or suburban shopper were ~4x that for rural areas. Mask mandates enacted in late July and August increased mask-wearing compliance to over 90% in all groups, but a small percentage of resistors remained. Thus, gender, age, and location factor into whether shoppers in the United States wear a mask or face covering voluntarily. Additionally, mask mandates are necessary to increase mask wearing among the public to a level required to mitigate the spread of COVID-19. | PLoS One | 2020 | | LitCov and CORD-19 |
| 7716 | Immunosuppression for hyperinflammation in COVID-19: a double-edged sword? | Lancet | 2020 | | LitCov and CORD-19 |
| 7717 | COVID-19 pandemic and associated lockdown as a "Global Human Confinement Experiment" to investigate biodiversity conservation Efforts to curtail the spread of the novel coronavirus (SARS-CoV2) have led to the unprecedented concurrent confinement of nearly two-thirds of the global population. The large human lockdown and its eventual relaxation can be viewed as a Global Human Confinement Experiment. This experiment is a unique opportunity to identify positive and negative effects of human presence and mobility on a range of natural systems, including wildlife, and protected areas, and to study processes regulating biodiversity and ecosystems. We encourage ecologists, environmental scientists, and resource managers to contribute their observations to efforts aiming to build comprehensive global understanding based on multiple data streams, including anecdotal observations, systematic assessments and quantitative monitoring. We argue that the collective power of combining diverse data will transcend the limited value of the individual data sets and produce unexpected insights. We can also consider the confinement experiment as a “stress test” to evaluate the strengths and weaknesses in the adequacy of existing networks to detect human impacts on natural systems. Doing so will provide evidence for the value of the conservation strategies that are presently in place, and create future networks, observatories and policies that are more adept in protecting biological diversity across the world. | Biol Conserv | 2020 | | LitCov and CORD-19 |
| 7718 | Fighting COVID-19: A quick review of diagnoses, therapies and vaccines The COVID-19 pandemic caused by a novel coronavirus, SARS-CoV-2, has infected more than 4.9 million individuals and resulted in over 300,000 deaths globally. The rapid spread of the virus and the precipitously increasing numbers of cases necessitate the urgent development of accurate diagnostic methods, effective treatments, and vaccines. Here, we review the progress of developing diagnostic methods, therapies, and vaccines for SARS-CoV-2 with a focus on current clinical trials and their challenges. For diagnosis, nucleic acid amplification tests remain the mainstay diagnostics for laboratory confirmation of SARS-CoV-2 infection, while serological antibody tests are used to aid contact tracing, epidemiological, and vaccine evaluation studies. Viral isolation is not recommended for routine diagnostic procedures due to safety concerns. Currently, no single effective drug or specific vaccine is available against SARS-CoV-2. Some candidate drugs targeting different levels and stages of human responses against COVID-19 such as cell membrane fusion, RNA-dependent RNA polymerase, viral protease inhibitor, interleukin 6 blocker, and convalescent plasma may improve the clinical outcomes of critical COVID-19 patients. Other supportive care measures for critical patients are still necessary. Advances in genetic sequencing and other technological developments have sped up the establishment of a variety of vaccine platforms. Accordingly, numerous vaccines are under development. Vaccine candidates against SARS-CoV-2 are mainly based upon the viral spike protein due to its vital role in viral infectivity, and most of these candidates have recently moved into clinical trials. Before the efficacy of such vaccines in humans is demonstrated, strong international coordination and collaboration among studies, pharmaceutical companies, regulators, and governments are needed to limit further damage due the emerging SARS-CoV-2 virus. | Biomed J | 2020 | | LitCov and CORD-19 |
| 7719 | The relevance of psychosocial variables and working conditions in predicting nurses' coping strategies during the SARS crisis: An online questionnaire survey OBJECTIVES: The purpose of this investigation was to examine the relationship between psychosocial variables and working conditions, and nurses’ coping methods and distress in response to the severe acute respiratory syndrome (SARS) crisis in Canada. PARTICIPANTS AND PROCEDURE: The sample consisted of 333 nurses (315 women, 18 men) who completed an Internet-mediated questionnaire that was posted on the Registered Nurses’ Association of Ontario (RNAO) website between March and May 2004. The questionnaire was restricted to respondents who had to authenticate their RNAO membership with a valid username and password before accessing the questionnaire. This served a dual purpose: to ensure that only RNAO nurses completed the questionnaire and thereby safeguarding the generalizability of the findings; and second, to prevent any one nurse from contributing more than once to the overall sample. RESULTS: Correlational analysis yielded several significant relationships between psychosocial variables and working conditions, and the traditional correlates of burnout and stress. Three multiple regression analysis revealed that the model we evolved—including higher levels of vigor, organizational support, and trust in equipment/infection control initiative; and lower levels of contact with SARS patients, and time spent in quarantine—predicted to lower levels of avoidance behavior, emotional exhaustion, and state anger. CONCLUSIONS: By employing models of stress and burnout that combine psychosocial variables and working conditions, researchers can account for significant amounts of variance in outcomes related to burnout. These findings highlight the importance of vigor and perceived organizational support in predicting nurses’ symptoms of burnout. For healthcare administrators, this means that a likely strategy for assuaging the negative outcomes of stress should address nurses’ psychosocial concerns and the working conditions that they face during novel times of crisis. | Int J Nurs Stud | 2007 | | CORD-19 |
| 7720 | Are cryptocurrencies a safe haven for equity markets? An international perspective from the COVID-19 pandemic Abstract The COVID-19 pandemic provided the first widespread bear market conditions since the inception of cryptocurrencies. We test the widely mooted safe haven properties of Bitcoin, Ethereum and Tether from the perspective of international equity index investors. Bitcoin and Ethereum are not a safe haven for the majority of international equity markets examined, with their inclusion adding to portfolio downside risk. Only investors in the Chinese CSI 300 index realized modest downside risk benefits (contingent on very limited allocations to Bitcoin or Ethereum). As Tether successfully maintained its peg to the US dollar during the COVID-19 turmoil, it acted as a safe haven investment for all of the international indices examined. We caveat the latter findings with a warning that Tether's dollar peg has not always been maintained, with evidence of impaired downside risk hedging properties earlier in our sample. | Res Int Bus Finance | 2020 | | LitCov and CORD-19 |
| 7721 | The COVID-19 Pandemic and the $16 Trillion Virus N/A | JAMA | 2020 | | LitCov and CORD-19 |
| 7722 | A snapshot of the Covid-19 pandemic among pregnant women in France OBJECTIVE: To describe the course over time of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in French women from the beginning of the pandemic until mid-April, the risk profile of women with respiratory complications, and short-term pregnancy outcomes. METHODS: We collected a case series of pregnant women with COVID-19 in a research network of 33 French maternity units between March 1 and April 14, 2020. All cases of SARS-CoV-2 infection confirmed by a positive result on real-time reverse transcriptase polymerase chain reaction tests of a nasal sample and/or diagnosed by a computed tomography chest scan were included and analyzed. The primary outcome measures were COVID-19 requiring oxygen (oxygen therapy or noninvasive ventilation) and critical COVID-19 (requiring invasive mechanical ventilation or extracorporeal membrane oxygenation, ECMO). Demographic data, baseline comorbidities, and pregnancy outcomes were also collected. RESULTS: Active cases of COVID-19 increased exponentially during March 1-31, 2020; the numbers fell during April 1-14, after lockdown was imposed on March 17. The shape of the curve of active critical COVID-19 mirrored that of all active cases. By April 14, among the 617 pregnant women with COVID-19, 93 women (15.1%; 95%CI 12.3-18.1) had required oxygen therapy and 35 others (5.7%; 95%CI 4.0-7.8) had had a critical form of COVID-19. The severity of the disease was associated with age older than 35 years and obesity, as well as preexisting diabetes, previous preeclampsia, and gestational hypertension or preeclampsia. One woman with critical COVID-19 died (0.2%; 95%CI 0-0.9). Among the women who gave birth, rates of preterm birth in women with non-severe, oxygen-requiring, and critical COVID-19 were 13/123 (10.6%), 14/29 (48.3%), and 23/29 (79.3%) before 37 weeks and 3/123 (2.4%), 4/29 (13.8%), and 14/29 (48.3%) before 32 weeks, respectively. One neonate in the critical group died from prematurity. CONCLUSION: COVID-19 can be responsible for significant rates of severe acute, potentially deadly, respiratory distress syndromes. The most vulnerable pregnant women, those with comorbidities, may benefit particularly from prevention measures such as a lockdown. | J Gynecol Obstet Hum Reprod | 2020 | | LitCov and CORD-19 |
| 7723 | Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection Deep learning has shown tremendous potential in many real-life applications in different domains. One of these potentials is object detection. Recent object detection which is based on deep learning models has achieved promising results concerning the finding of an object in images. The objective of this paper is to annotate and localize the medical face mask objects in real-life images. Wearing a medical face mask in public areas, protect people from COVID-19 transmission among them. The proposed model consists of two components. The first component is designed for the feature extraction process based on the ResNet-50 deep transfer learning model. While the second component is designed for the detection of medical face masks based on YOLO v2. Two medical face masks datasets have been combined in one dataset to be investigated through this research. To improve the object detection process, mean IoU has been used to estimate the best number of anchor boxes. The achieved results concluded that the adam optimizer achieved the highest average precision percentage of 81% as a detector. Finally, a comparative result with related work has been presented at the end of the research. The proposed detector achieved higher accuracy and precision than the related work. | Sustain Cities Soc | 2020 | | LitCov and CORD-19 |
| 7724 | A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2 In this paper, we have trained several deep convolutional networks with introduced training techniques for classifying X-ray images into three classes: normal, pneumonia, and COVID-19, based on two open-source datasets. Our data contains 180 X-ray images that belong to persons infected with COVID-19, and we attempted to apply methods to achieve the best possible results. In this research, we introduce some training techniques that help the network learn better when we have an unbalanced dataset (fewer cases of COVID-19 along with more cases from other classes). We also propose a neural network that is a concatenation of the Xception and ResNet50V2 networks. This network achieved the best accuracy by utilizing multiple features extracted by two robust networks. For evaluating our network, we have tested it on 11302 images to report the actual accuracy achievable in real circumstances. The average accuracy of the proposed network for detecting COVID-19 cases is 99.50%, and the overall average accuracy for all classes is 91.4%. | Inform Med Unlocked | 2020 | | LitCov and CORD-19 |
| 7725 | Global Preparedness Against COVID-19: We Must Leverage the Power of Digital Health The coronavirus disease (COVID-19) pandemic has revealed many areas of public health preparedness that are lacking, especially in lower- and middle-income countries. Digital interventions provide many opportunities for strengthening health systems and could be vital resources in the current public health emergency. We provide several use cases for infection control, home-based diagnosis and screening, empowerment through information, public health surveillance and epidemiology, and leveraging crowd-sourced data. A thoughtful, concerted effort—leveraging existing experience and robust enterprise-grade technologies—can have a substantive impact on the immediate and distal consequences of COVID-19. | JMIR Public Health Surveill | 2020 | | LitCov and CORD-19 |
| 7726 | CT imaging changes of corona virus disease 2019(COVID-19): a multi-center study in Southwest China BACKGROUND: Since the first case of a coronavirus disease 2019 (COVID-19) infection pneumonia was detected in Wuhan, China, a series of confirmed cases of the COVID-19 were found in Southwest China. The aim of this study was to describe the imaging manifestations of hospitalized patients with confirmed COVID-19 infection in southwest China. METHODS: In this retrospective study, data were collected from 131 patients with confirmed coronavirus disease 2019 (COVID-19) from 3 Chinese hospitals. Their common clinical manifestations, as well as characteristics and evolvement features of chest CT images, were analyzed. RESULTS: A total of 100 (76%) patients had a history of close contact with people living in Wuhan, Hubei. The clinical manifestations of COVID-19 included cough, fever. Most of the lesions identified in chest CT images were multiple lesions of bilateral lungs, lesions were more localized in the peripheral lung, 109 (83%) patients had more than two lobes involved, 20 (15%) patients presented with patchy ground glass opacities, patchy ground glass opacities and consolidation of lesions co-existing in 61 (47%) cases. Complications such as pleural thickening, hydrothorax, pericardial effusion, and enlarged mediastinal lymph nodes were detected but only in rare cases. For the follow-up chest CT examinations (91 cases), We found 66 (73%) cases changed very quickly, with an average of 3.5 days, 25 cases (27%) presented absorbed lesions, progression was observed in 41 cases (46%), 25 (27%) cases showed no significant changes. CONCLUSION: Chest CT plays an important role in diagnosing COVID-19. The imaging pattern of multifocal peripheral ground glass or mixed consolidation is highly suspicious of COVID-19, that can quickly change over a short period of time. | J Transl Med | 2020 | | LitCov and CORD-19 |
| 7727 | The emerging use of social media for health-related purposes in low and middle-income countries: A scoping review BACKGROUND: Social media allows for instant access to, and dissemination of, information around the globe. Access to social media in low- and middle-income countries has increased exponentially in recent years due to technological advances. Despite this growth, the use of social media in low- and middle-income countries is less well-researched than in high-income countries. OBJECTIVE: To identify, explore and summarize the current state of the literature on the use of social media for health in low- and middle-income countries. METHODS: A scoping review was conducted on literature available to December 2017. Six databases were searched, and grey literature was identified through the Google and Google Scholar search engines. Literature was considered for inclusion if it (1) was published in English, (2) was conducted in or in relation to a low or middle-income country, (3) reported on as least one type of social media or social media use generally for health purposes, and (4) reported on at least one aspect of human health. Content analysis was performed to identify themes. RESULTS: Forty articles met the inclusion criteria. Thirty-one were research articles, and nine were review/discussion/descriptive and evaluative reports. Since 2010, when the first article was published, most of the literature has focused on Asian (n = 15) and African (n = 12) countries. Twitter (n = 11) and Facebook (n = 10) were the most frequently discussed individual social media platforms. Four themes were identified: (1) use for health education and influence (sub-themes were health behaviour and health education); (2) use within infectious disease and outbreak situations; (3) use within natural disaster, terrorism, crisis and emergency response situations; and (4) producers and consumers of social media for health (sub-themes were misinformation, organizational challenges, users’ expectations, and challenges of unique sub-populations). Most studies addressed more than one theme. CONCLUSION: Social media has the ability to facilitate disease surveillance, mass communication, health education, knowledge translation, and collaboration amongst health providers in low- and middle-income countries. Misinformation or poorly communicated information can contribute to negative health behaviours and adverse health outcomes amongst consumers, as well as hysteria and chaos. Organizations using social media should provide accurate and readable information. Promotion of credible social media sites by governments, health care professionals and researchers, as well as education on the appropriate use of social media, could help to lessen the effect of misinformation. This is a nascent body of literature and future research should investigate the relative effectiveness of various platforms for different users, other potential uses, and pursue a broader geographical focus. | Int J Med Inform | 2018 | | CORD-19 |
| 7728 | International guidelines and recommendations for surgery during Covid-19 pandemic: A Systematic Review BACKGROUND: During the COVID-19 pandemic, surgical departments were forced to re-schedule their activity giving priority to urgent procedures and non-deferrable oncological cases. There is a lack of evidence-based literature providing clinical and organizational guidelines for the management of a general surgery department. Aim of our study was to review the available recommendations published by general Surgery Societies and Health Institutions and evaluate the underlying Literature. MATERIALS AND METHODS: A review of the English Literature was conducted according to the AMSTAR and to the 2009 Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. RESULTS: After eligibility assessment, a total of 22 papers and statements were analyzed. Surgical societies have established criteria for triage and prioritization in order to identify procedures that can be postponed after the pandemic and those that should not. Prioritization among oncologic cases represents a difficult task: clinicians have to balance a possible delay in cancer diagnosis or treatment against the risk for a potential COVID-19 exposure. There is broad agreement among guidelines that indication to proceed with surgery should be discussed in virtual Tumor Boards taking into consideration alternative therapeutic approaches. Several guidelines deal with the role of laparoscopic surgery during the pandemic: a tailored approach is currently suggested, with a case-by-case evaluation provided that appropriate personal protective equipment is available in order to minimize the potential risk of transmission. Finally, there is a considerable agreement in the published Literature concerning the management of the personnel during the peri- and intraoperative phase and on the technical advices regarding the induction, operative and recover maneuvers in COVID-19 cases. CONCLUSIONS: During COVID-19 pandemic, it is of paramount importance to face the emergency in the most effective and efficient manner, retrieving resources from non-essential settings and, at the same time, providing care to high priority non-COVID-19 related diseases. | Int J Surg | 2020 | | LitCov and CORD-19 |
| 7729 | Compassionate remdesivir treatment of severe Covid-19 pneumonia in intensive care unit (ICU) and Non-ICU patients: Clinical outcome and differences in post-treatment hospitalisation status SARS-CoV-2 is causing an increasing number of deaths worldwide because no effective treatment is currently available. Remdesivir has shown in vitro activity against coronaviruses and is a possible antiviral treatment for SARS-CoV-2 infection. This prospective (compassionate), open-label study of remdesivir, which was conducted at Luigi Sacco Hospital, Milan, Italy, between February 23 and March 20, 2020, involved patients with SARS-CoV-2 pneumonia aged ≥18 years undergoing mechanical ventilation or with an oxygen saturation level of ≤94% in air or a National Early Warning Score 2 of ≥4. The primary outcome was the change in clinical status based on a 7-category ordinal scale (1 = not hospitalised, resuming normal daily activities; 7 = deceased). The 35 patients enrolled from February 23 to March 20, 2020, included 18 in intensive care unit (ICU), and 17 in our infectious diseases ward (IDW). The 10-day course of remdesivir was completed by 22 patients (63%) and discontinued by 13, of whom eight (22.8%) discontinued because of adverse events. The median follow-up was 39 days (IQR 25-44). At day 28, 14 (82.3%) patients from IDW were discharged, two were still hospitalized and one died (5.9%), whereas in ICU 6 (33.3%) were discharged, 8 (44.4%) patients died, three (16.7%) were still mechanically ventilated and one (5.6%) was improved but still hospitalized. Hypertransaminasemia and acute kidney injury were the most frequent severe adverse events observed (42.8% and 22.8% of the cases, respectively). Our data suggest that remdesivir can benefit patients with SARS-CoV-2 pneumonia hospitalised outside ICU where clinical outcome was better and adverse events are less frequently observed. Ongoing randomised controlled trials will clarify its real efficacy and safety, who to treat, and when. | Pharmacol Res | 2020 | | LitCov and CORD-19 |
| 7730 | The Acute Respiratory Distress Syndrome: Diagnosis and Management Acute respiratory distress syndrome (ARDS) is characterized by a new acute onset of hypoxemia secondary to a pulmonary edema of non-cardiogenic origin, bilateral lung opacities and reduction in respiratory system compliance after an insult direct or indirect to lungs. Its first description was in 1970s, and then several shared definitions tried to describe this clinical entity; the last one, known as Berlin definition, brought an improvement in predictive ability for mortality. In the present chapter, the diagnostic workup of the syndrome will be presented with particular attention to microbiological investigations which represent a milestone in the diagnostic process and to imaging techniques such as CT scan and lung ultrasound. Despite the treatment is mainly based on supportive strategies, attention should be applied to assure adequate respiratory gas exchange while minimizing the risk of ventilator-induced lung injury (VILI) onset. Therefore will be described several therapeutic approaches to ARDS, including noninvasive mechanical ventilation (NIMV), high-flow nasal cannulas (HFNC) and invasive ventilation with particular emphasis to risks and benefits of mechanical ventilation, PEEP optimization and lung protective ventilation strategies. Rescue techniques, such as permissive hypercapnia, prone positioning, neuromuscular blockade, inhaled vasodilators, corticosteroids, recruitment maneuvers and extracorporeal life support, will also be reviewed. Finally, the chapter will deal with the mechanical ventilation weaning process with particular emphasis on extrapulmonary factors such as neurologic, diaphragmatic or cardiovascular alterations which can lead to weaning failure. | Practical Trends in Anesthesia | 2018 | | CORD-19 |
| 7731 | Cell death in planktonic, photosynthetic microorganisms N/A | Nat Rev Microbiol | 2004 | | CORD-19 |
| 7732 | Systematic review of meditation-based interventions for children with ADHD N/A | Eur Child Adolesc Psychiatry | 2018 | | CORD-19 |
| 7733 | The SARS-CoV-2 outbreak from a one health perspective The SARS-CoV-2 is a new human coronavirus candidate recently detected in China that is now reported in people on inhabited continents. The virus shares a high level of identity with some bat coronaviruses and is recognised as a potentially zoonotic virus. We are utilizing the One Health concept to understand the emergence of the virus, as well as to point to some possible control strategies that might reduce the spread of the virus across the globe; thus, containment of such virus would be possible. | One Health | 2020 | | LitCov and CORD-19 |
| 7734 | Genetics and genomics of SARS-CoV-2: A review of the literature with the special focus on genetic diversity and SARS-CoV-2 genome detection The outbreak of 2019-novel coronavirus disease (COVID-19), caused by SARS-CoV-2, started in late 2019; in a short time, it has spread rapidly all over the world. Although some possible antiviral and anti-inflammatory medications are available, thousands of people are dying daily. Well-understanding of the SARS-CoV-2 genome is not only essential for the development of new treatments/vaccines, but it also can be used for improving the sensitivity and specificity of current approaches for virus detection. Accordingly, we reviewed the most critical findings related to the genetics of the SARS-CoV-2, with a specific focus on genetic diversity and reported mutations, molecular-based diagnosis assays, using interfering RNA technology for the treatment of patients, and genetic-related vaccination strategies. Additionally, considering the unanswered questions or uncertainties in these regards, different topics were discussed. | Genomics | 2020 | | LitCov and CORD-19 |
| 7735 | Using the UTAUT model to understand students' usage of e-learning systems in developing countries Research on information systems has identified a variety of factors across a range of adoption models that determine their acceptance. In this research, the unified theory of acceptance and use of technology (UTAUT), which integrates determinants across eight models, was utilised to analyse students’ intentions to use and their actual usage of Moodle, an e-learning system at Hashemite University, a public university in Jordan, one of developing countries. Four principal determinants of intention and usage were explored: performance expectancy, effort expectancy, social influence, and facilitating conditions. Data were collected from 370 undergraduate students and analysed using structural equation modelling techniques. The results indicated that performance expectancy and effort expectancy affected behavioural intentions to use Moodle whereas social influence did not. In addition, the results confirmed the direct impact of behavioural intentions and facilitating conditions on students’ use of Moodle. UTAUT thus provides a valuable tool that enables university decision makers, faculty members, and designers to understand the factors driving e-learning system acceptance and thus facilitate the adoption of the system by students. The study will help educational institutions prepare e-learning systems, which is especially important during a state of emergency such as that caused by COVID-19. | Educ Inf Technol (Dordr) | 2021 | | LitCov and CORD-19 |
| 7736 | Simulating and forecasting the cumulative confirmed cases of SARS-CoV-2 in China by Boltzmann function-based regression analyses • Cumulative confirmed cases in China were well fitted with Boltzmann function. • Potential total numbers of confirmed cases in different regions were estimated. • Key dates indicating minimal daily number of new confirmed cases were estimated. • Cumulative confirmed cases of 2003 SARS-CoV were well fitted to Boltzmann function. • The Boltzmann function was, for the first time, applied to epidemic analysis. | J Infect | 2020 | | LitCov and CORD-19 |
| 7737 | COVID-19 open source data sets: a comprehensive survey In December 2019, a novel virus named COVID-19 emerged in the city of Wuhan, China. In early 2020, the COVID-19 virus spread in all continents of the world except Antarctica, causing widespread infections and deaths due to its contagious characteristics and no medically proven treatment. The COVID-19 pandemic has been termed as the most consequential global crisis since the World Wars. The first line of defense against the COVID-19 spread are the non-pharmaceutical measures like social distancing and personal hygiene. The great pandemic affecting billions of lives economically and socially has motivated the scientific community to come up with solutions based on computer-aided digital technologies for diagnosis, prevention, and estimation of COVID-19. Some of these efforts focus on statistical and Artificial Intelligence-based analysis of the available data concerning COVID-19. All of these scientific efforts necessitate that the data brought to service for the analysis should be open source to promote the extension, validation, and collaboration of the work in the fight against the global pandemic. Our survey is motivated by the open source efforts that can be mainly categorized as (a) COVID-19 diagnosis from CT scans, X-ray images, and cough sounds, (b) COVID-19 case reporting, transmission estimation, and prognosis from epidemiological, demographic, and mobility data, (c) COVID-19 emotional and sentiment analysis from social media, and (d) knowledge-based discovery and semantic analysis from the collection of scholarly articles covering COVID-19. We survey and compare research works in these directions that are accompanied by open source data and code. Future research directions for data-driven COVID-19 research are also debated. We hope that the article will provide the scientific community with an initiative to start open source extensible and transparent research in the collective fight against the COVID-19 pandemic. | Appl Intell (Dordr) | 2020 | | LitCov and CORD-19 |
| 7738 | COVID-19 Surface Persistence: A Recent Data Summary and Its Importance for Medical and Dental Settings Recently, due to the coronavirus pandemic, many guidelines and anti-contagion strategies continue to report unclear information about the persistence of coronavirus disease 2019 (COVID-19) in the environment. This certainly generates insecurity and fear in people, with an important psychological component that is not to be underestimated at this stage of the pandemic. The purpose of this article is to highlight all the sources currently present in the literature concerning the persistence of the different coronaviruses in the environment as well as in medical and dental settings. As this was a current study, there are still not many sources in the literature, and scientific strategies are moving towards therapy and diagnosis, rather than knowing the characteristics of the virus. Such an article could be an aid to summarize virus features and formulate new guidelines and anti-spread strategies. | Int J Environ Res Public Healt | 2020 | | LitCov and CORD-19 |
| 7739 | Cardiac involvement in COVID-19 patients: Risk factors, predictors and complications: A review BACKGROUND: Respiratory complications have been well remarked in the novel coronavirus disease (SARS‐CoV‐2/COVID‐19), yet an emerging body of research indicates that cardiac involvement may be implicated in poor outcomes for these patients. AIMS: This review seeks to gather and distill the existing body of literature that describes the cardiac implications of COVID‐19. MATERIALS AND METHODS: The English literature was reviewed for papers dealing with the cardiac effects of COVID‐19. RESULTS: Notably, COVID‐19 patients with pre‐existing cardiovascular disease are counted in greater frequency in intensive care unit settings, and ultimately suffer greater rates of mortality. Other studies have noted cardiac presentations for COVID‐19, rather than respiratory, such as acute pericarditis and left ventricular dysfunction. In some patients there has been evidence of acute myocardial injury, with correspondingly increased serum troponin I levels. With regard to surgical interventions, there is a dearth of data describing myocardial protection during cardiac surgery for COVID‐19 patients. Although some insights have been garnered in the study of cardiovascular diseases for these patients, these insights remain fragmented and have yet to cement clear guidelines for actionable clinical practice. CONCLUSION: While some information is available, further studies are imperative for a more cohesive understanding of the cardiac pathophysiology in COVID‐19 patients to promote more informed treatment and, ultimately, better clinical outcomes. | J Card Surg | 2020 | | LitCov and CORD-19 |
| 7740 | Social and behavioral consequences of mask policies during the COVID-19 pandemic Mandatory and voluntary mask policies may have yet unknown social and behavioral consequences related to the effectiveness of the measure, stigmatization, and perceived fairness. Serial cross-sectional data (April 14 to May 26, 2020) from nearly 7,000 German participants demonstrate that implementing a mandatory policy increased actual compliance despite moderate acceptance; mask wearing correlated positively with other protective behaviors. A preregistered experiment (n = 925) further indicates that a voluntary policy would likely lead to insufficient compliance, would be perceived as less fair, and could intensify stigmatization. A mandatory policy appears to be an effective, fair, and socially responsible solution to curb transmissions of airborne viruses. | Proc Natl Acad Sci U S A | 2020 | | LitCov and CORD-19 |
| 7741 | Psychopathology and resilience following traumatic injury: a latent growth mixture model analysis N/A | Rehabil Psychol | 2010 | | CORD-19 |
| 7742 | Methylprednisolone as Adjunctive Therapy for Patients Hospitalized With COVID-19 (Metcovid): A Randomized, Double-Blind, Phase IIb, Placebo-Controlled Trial BACKGROUND: Steroid use for COVID-19 is based on the possible role of these drugs in mitigating the inflammatory response, mainly in the lungs, triggered by SARS-CoV-2. This study aimed at evaluating at evaluating the efficacy of methylprednisolone (MP) among hospitalized patients with suspected COVID-19. METHODS: Parallel, double-blind, placebo-controlled, randomized, phase IIb clinical trial was performed with hospitalized patients aged ≥ 18 years with clinical, epidemiological and/or radiological suspected COVID-19, at a tertiary care facility in Manaus, Brazil. Patients were randomly allocated (1:1 ratio) to receive either intravenous MP (0.5 mg/kg) or placebo (saline solution), twice daily, for 5 days. A modified intention-to-treat (mITT) analysis was conducted. The primary outcome was 28-day mortality. ClinicalTrials Identifier NCT04343729. FINDINGS: From April 18 to June 16, 2020, 647 patients were screened, 416 randomized, and 393 analyzed as mITT, MP in 194 and placebo in 199 individuals. SARS-CoV-2 infection was confirmed by RT-PCR in 81.3%. Mortality at day 28 was not different between groups. A subgroup analysis showed that patients over 60 years in the MP group had a lower mortality rate at day 28. Patients in the MP arm tended to need more insulin therapy, and no difference was seen in virus clearance in respiratory secretion until day 7. CONCLUSION: The findings of this study suggest that a short course of MP in hospitalized patients with COVID-19 did not reduce mortality in the overall population. | Clin Infect Dis | 2020 | | LitCov and CORD-19 |
| 7743 | Aerobiology and Its Role in the Transmission of Infectious Diseases Aerobiology plays a fundamental role in the transmission of infectious diseases. As infectious disease and infection control practitioners continue employing contemporary techniques (e.g., computational fluid dynamics to study particle flow, polymerase chain reaction methodologies to quantify particle concentrations in various settings, and epidemiology to track the spread of disease), the central variables affecting the airborne transmission of pathogens are becoming better known. This paper reviews many of these aerobiological variables (e.g., particle size, particle type, the duration that particles can remain airborne, the distance that particles can travel, and meteorological and environmental factors), as well as the common origins of these infectious particles. We then review several real-world settings with known difficulties controlling the airborne transmission of infectious particles (e.g., office buildings, healthcare facilities, and commercial airplanes), while detailing the respective measures each of these industries is undertaking in its effort to ameliorate the transmission of airborne infectious diseases. | J Pathog | 2013 | | CORD-19 |
| 7744 | Medical waste management practice during the 2019-2020 novel coronavirus pandemic: Experience in a general hospital It is currently a critical period for the prevention and control of the COVID-19 pandemic. Since the medical waste disposal could be an important way to control the source of infection, standardization and strict implementation of the management of COVID-19 related medical waste should be with careful consideration to reduce the risk of epidemic within hospitals. This study illustrates the practice of medical waste disposal responding to the 2019-2020 novel coronavirus pandemic. | Am J Infect Control | 2020 | | LitCov and CORD-19 |
| 7745 | Analysis of the electricity demand trends amidst the COVID-19 coronavirus pandemic This paper investigates the impact of COVID-19 and the global pandemic on the energy sector dynamics. Hourly electricity demand data was collected and analyzed for the province of Ontario. It is evident that health-related pandemics have a detrimental and direct influence on the concept of the smart city. This is manifested through various social, economic, environmental, technological and energy-related changes. The overall electricity demand of the province for the month of April of this year amidst pandemic conditions declined by 14%, totaling 1,267 GW. A unique trend of reciprocating energy demand exists throughout the week. The post-COVID-19 indicates higher energy demand in the earlier part of the week and a lower demand in the latter part of the week. Pre-pandemic, the days of highest electricity demand were in the latter part of the work week (Wed-Fri) in addition to the weekend. Post-pandemic, the highest electricity demand occurred in the earlier part of the week (Mon-Tue). Hourly electricity demand shows a clear curve flattening during the pandemic, especially during peak hours of 7 – 11 in the morning and 5 – 7 in the evening, resulting in significant demand reductions during these periods. Lastly, due to COVID-19, GHG emission reductions of 40,000 tonnes of CO(2)e were achieved along with savings of $131,844 for the month of April. | Energy Res Soc Sci | 2020 | | LitCov and CORD-19 |
| 7746 | The Peru Approach against the COVID-19 Infodemic: Insights and Strategies The COVID-19 epidemic has spawned an “infodemic,” with excessive and unfounded information that hinders an appropriate public health response. This perspective describes a selection of COVID-19 fake news that originated in Peru and the government’s response to this information. Unlike other countries, Peru was relatively successful in controlling the infodemic possibly because of the implementation of prison sentences for persons who created and shared fake news. We believe that similar actions by other countries in collaboration with social media companies may offer a solution to the infodemic problem. | Am J Trop Med Hyg | 2020 | | LitCov and CORD-19 |
| 7747 | Severe COVID-19 in Children and Young Adults in the Washington, DC, Metropolitan Region | J Pediatr | 2020 | | LitCov and CORD-19 |
| 7748 | Potential for developing a SARS-CoV receptor-binding domain (RBD) recombinant protein as a heterologous human vaccine against coronavirus infectious disease (COVID)-19 A SARS-CoV receptor-binding domain (RBD) recombinant protein was developed and manufactured under current good manufacturing practices in 2016. The protein, known as RBD219-N1 when formulated on Alhydrogel®, induced high-level neutralizing antibodies and protective immunity with minimal immunopathology in mice after a homologous virus challenge with SARS-CoV (MA15 strain). We examined published evidence in support of whether the SARS-CoV RBD219-N1 could be repurposed as a heterologous vaccine against Coronavirus Infectious Disease (COVID)-19. Our findings include evidence that convalescent serum from SARS-CoV patients can neutralize SARS-CoV-2. Additionally, a review of published studies using monoclonal antibodies (mAbs) raised against SARS-CoV RBD and that neutralizes the SARS-CoV virus in vitro finds that some of these mAbs bind to the receptor-binding motif (RBM) within the RBD, while others bind to domains outside this region within RBD. This information is relevant and supports the possibility of developing a heterologous SARS-CoV RBD vaccine against COVID-19, especially due to the finding that the overall high amino acid similarity (82%) between SARS-CoV and SARS-CoV-2 spike and RBD domains is not reflected in RBM amino acid similarity (59%). However, the high sequence similarity (94%) in the region outside of RBM offers the potential of conserved neutralizing epitopes between both viruses. | Hum Vaccin Immunother | 2020 | | LitCov and CORD-19 |
| 7749 | Virome Capture Sequencing Enables Sensitive Viral Diagnosis and Comprehensive Virome Analysis Insensitivity and technical complexity have impeded the implementation of high-throughput nucleic acid sequencing in differential diagnosis of viral infections in clinical laboratories. Here, we describe the development of a virome capture sequencing platform for vertebrate viruses (VirCapSeq-VERT) that increases the sensitivity of sequence-based virus detection and characterization. The system uses ~2 million probes that cover the genomes of members of the 207 viral taxa known to infect vertebrates, including humans. A biotinylated oligonucleotide library was synthesized on the NimbleGen cleavable array platform and used for solution-based capture of viral nucleic acids present in complex samples containing variable proportions of viral and host nucleic acids. The use of VirCapSeq-VERT resulted in a 100- to 10,000-fold increase in viral reads from blood and tissue homogenates compared to conventional Illumina sequencing using established virus enrichment procedures, including filtration, nuclease treatments, and RiboZero rRNA subtraction. VirCapSeq-VERT had a limit of detection comparable to that of agent-specific real-time PCR in serum, blood, and tissue extracts. Furthermore, the method identified novel viruses whose genomes were approximately 40% different from the known virus genomes used for designing the probe library. The VirCapSeq-VERT platform is ideally suited for analyses of virome composition and dynamics. Importance VirCapSeq-VERT enables detection of viral sequences in complex sample backgrounds, including those found in clinical specimens, such as serum, blood, and tissue. The highly multiplexed nature of the system allows both the simultaneous identification and the comprehensive genetic characterization of all known vertebrate viruses, their genetic variants, and novel viruses. The operational simplicity and efficiency of the VirCapSeq-VERT platform may facilitate transition of high-throughput sequencing to clinical diagnostic as well as research applications. | mBio | 2015 | | CORD-19 |
| 7750 | Association of diabetes mellitus with disease severity and prognosis in COVID-19: A retrospective cohort study Abstract The 2019 novel coronavirus disease (COVID-19) emerged in Wuhan, China, and was characterized as a pandemic by the World Health Organization. Diabetes is an established risk associated with poor clinical outcomes, but the association of diabetes with COVID-19 has not been reported yet. Methods In this cohort study, we retrospectively reviewed 258 consecutive hospitalized COVID-19 patients with or without diabetes at the West Court of Union Hospital in Wuhan, China, recruited from January 29 to February 12, 2020. The clinical features, treatment strategies and prognosis data were collected and analyzed. Prognosis was followed up until March 12, 2020. Results Of the 258 hospitalized patients (63 with diabetes) with COVID-19, the median age was 64 years (range 23-91), and 138 (53.5%) were male. Common symptoms included fever (82.2%), dry cough (67.1%), polypnea (48.1%), and fatigue (38%). Patients with diabetes had significantly higher leucocyte and neutrophil counts, and higher levels of fasting blood glucose, serum creatinine, urea nitrogen and creatine kinase isoenzyme MB at admission compared with those without diabetes. COVID-19 patients with diabetes were more likely to develop severe or critical disease conditions with more complications, and had higher incidence rates of antibiotic therapy, non-invasive and invasive mechanical ventilation, and death (11.1% vs. 4.1%). Cox proportional hazard model showed that diabetes (adjusted hazard ratio [aHR]=3.64; 95% confidence interval [CI]: 1.09, 12.21) and fasting blood glucose (aHR=1.19; 95% CI: 1.08, 1.31) were associated with the fatality due to COVID-19, adjusting for potential confounders. Conclusions Diabetes mellitus is associated with increased disease severity and a higher risk of mortality in patients with COVID-19. | Diabetes Res Clin Pract | 2020 | | LitCov and CORD-19 |
