| Title | Venue | Year | Impact | Source |
3801 | NSW parliament's oversight of human rights in the first year of the COVID-19 pandemic New South Wales (NSW) relies on a robust application of the Westminster system of government for its human rights protection. In 2020, the system was subjected to a major stress test via the COVID-19 pandemic, with new public conditions imposed on previously unregulated individual freedoms. The author examines the extent to which human rights featured in NSW parliament’s oversight of the 2020 pandemic response and finds it inadequate. The author concludes that the case study demonstrates a need for the state’s human rights protection model to be reconsidered. | N/A | 2022 | | CORD-19 |
3802 | Part-time adult students' satisfaction with online learning during the COVID-19 pandemic Introduction: The COVID-19 pandemic resulted in many tertiary institutions switching overnight from taught to online lectures without much preparation. Studies suggest that the sudden change has impacted on students’ satisfaction with online learning in differing ways. Yet, little is known about how this change impacted specifically on adult part-time students, which is the focus of this study. Methods: Part-time adult undergraduate students responded to a mixed methods online questionnaire. Close-ended questions were analysed quantitatively in order to determine levels of satisfaction with online learning during COVID-19 as well as its correlates. Open-ended questions were analysed qualitatively in order to explore the perceived benefits and challenges associated with online learning during this period. Results: Levels of satisfaction with online learning were found to be high, especially among students who were female, those who did not have young children, had partners who worked in excess of 40 hours, were able to follow lectures from locations other than the home, and those following non-technical courses. Several benefits of online learning were identified, including time saved on commuting, the ability to study from the comfort of home and the fact that lectures could now be recorded. Challenges included those related to technology, a lack of interaction amongst students and part-time lecturers who struggled with the sudden switch to online learning. Despite this, most students indicated they would like online lectures to continue to various degrees even after it was safe to return to class. Conclusion and implications: Online lectures were generally rated positively by adult part-time students. In view of the benefits and some of the challenges associated with online learning, it is recommended that future academic programmes adopt a blended approach whilst more support is provided to those who find it challenging to follow lectures from home. | N/A | 2022 | | CORD-19 |
3803 | Consensus, convergence and COVID-19: The ethical role of religious reasons in leaders' response to COVID-19 Focusing on current efforts to persuade the public to comply with COVID-19 best practices, this essay examines what role appeals to religious reasons should (or should not) play in leaders’ attempts to secure followers’ acceptance of group policies in contexts of religious and moral pluralism. While appeals to followers’ religious commitments can be helpful in promoting desirable public health outcomes, they also raise moral concerns when made in the contexts of secular institutions with religiously diverse participants. In these contexts, leaders who appeal to religious reasons as bases of justification for imposing COVID policies may seem to fail to show respect for the autonomy of those who lack the relevant religious commitments, and—especially when a leader herself rejects the religious commitments she makes reference to to persuade others—her appeals to religious reasons may seem to constitute ethically problematic exercises of manipulation. This essay draws on the resources of contemporary political philosophy to analyze and respond to these concerns and concludes that they are not sufficiently well-founded. To the contrary, it contends that there are good moral grounds for leaders to appeal to religious reasons as (partial) bases of justification for why followers should accept COVID policies. In the course of the argument, this essay also highlights how contemporary political theory can enrich discussions about the distinctions between coercion, manipulation, and leadership. It thereby give insight not only into the ethics of leadership but also—at least by the lights of central theories of leadership like that of James MacGregor Burns (1978)—into whether and how appeals to religious reasons can figure into genuine exercises of leadership, in contrast with mere instances of the wielding of social power. | Leadership (Lond) | 2022 | | CORD-19 |
3804 | The contagion effect of jump risk across Asian stock markets during the Covid-19 pandemic This paper tests the market jump contagion hypothesis in the context of the Covid-19 pandemic. We first use a nonparametric approach to identify jumps by decomposing the realized volatility into continuous and jump components, and we use the threshold autoregressive model to describe the jump interdependency structure between different markets. We empirically investigate the contagion effect across several major Asian equity markets (Mainland China, Hong Kong, Japan, South Korea, Singapore, Thailand, and Taiwan) using the 5-minute high frequency data. Some key findings emerge: jump behaviors occur frequently and make an important contribution to the total realized volatility; jump dynamics exhibit significant nonlinearity, asymmetry, and the feature of structural breaks, which can be effectively captured by the threshold autoregressive model; jump contagion effects are obviously detected and this effect varies depending on the regime. | N/A | 2022 | | CORD-19 |
3805 | Air and water health: industrial footprints of COVID-19 imposed lockdown Overall lockdown limitations toward the start of the year 2020 are credited to the annihilation and fatalities worldwide because of COVID-19. Most of the nations revealed rapid growth of COVID-19 cases and subsequently declared lockdown in several stages. Because of these lockdowns, industries had to stop producing goods other than the actual merchandise needed to survive. The air quality and natural water quality witnessed a noticeable improvement from limited human activity. This paper presents an investigation demonstrating this improvement under various lockdown periods, specifically for the Indian subcontinent. The rivers and atmosphere of Indian settings have been utilized here as a contextual analysis associated with industrial pollution. This work aims to study the associations and interrelationships between lockdowns during COVID-19 and their effect on air and water quality. The paper presents then and now an analysis of the Indian atmosphere based on various particulate matters and river health based on the biological oxygen demand, chemical oxygen demand, and dissolved oxygen. The study indicated a significant dip in air and water pollution levels and a significant improvement in the atmosphere and rivers’ quality during this period. Significant water bodies witnessed the pH level of 7.5 amidst lockdown, which is a good indicator of improved water health since the pH level of drinkable water is 7. The analysis carried out in this paper can also be mapped to other countries and landscapes of the world. | N/A | 2022 | | CORD-19 |
3806 | ABO incompatible living donor related liver transplant in COVID-19 pandemic: Challenges and outcomes | N/A | 2022 | | CORD-19 |
3807 | Face mask recogniser using image processing and computer vision approach The world saw a health crisis with the onset of the COVID-19 virus outbreak. The mask has been identified as the most efficient way to prevent the spread of virus [1]. This has driven the necessity for a face mask recogniser that not only detects the presence of a mask but also gives the accuracy to which a person is wearing the face mask. Also, the face mask should be recognised in all angles as well. The goal of this study is to create a new and improved real time face mask recogniser using image processing and computer vision approach. A Kaggle dataset which consisted of images with and without masks was used. For the purpose of this study a pre-trained convolutional neural network Mobile Net V2 was used. The performance of the given model was assessed. The model presented in this paper can detect the face mask with 98% precision. This Face mask recogniser can efficiently detect the face mask in side wise direction which makes it more useful. A comparison of the performance metrics of the existing algorithms is also presented. Now with the spread of the infectious variant OMICRON, it is necessary to implement such a robust face mask recogniser which can help control the spread. | N/A | 2022 | | CORD-19 |
3808 | The clinical efficacy and safety research of Lianhuaqingwen (LHQW) in treatment of COVID-19: A systematic review and meta-analysis Background : Although vaccines have been launched, COVID-19 has not been effectively curbed, and the number of infections is increasing. Compared with western medicine, Traditional Chinese Medicine has made some achievements in the treatment of COVID-19, which should be paid attention to and play a greater role. As a classical Chinese medicine prescription for treating pestilence, Lianhuaqingwen (LHQW) has gone to many countries with the Chinese medical team to participate in the local fight against the epidemic, which has been widely recognized. Methods : We searched MEDLINE, EMBASE, AMED, Chchrane Central Register of Controlled Trials (CENTRAL), PubMed, Web of Science, Chinese National Knowledge Infrastructure (CNKI), VIP Information Database (VIP), Chinese Biomedical Literature Database (CBM), and Wanfang Database from inception up to November 24, 2021, which formed the basis for evidence used to formulate recommendations. Sixteen randomized controlled trials (RCTs) involving 1896 patients were enrolled. LHQW is a traditional Chinese medicine compound preparation, which contains 13 traditional Chinese medicine (TCM) components. Two dosage formulations of LHQW were included: granule and capsule. The most commonly used dosage formulation was granule (15/17, 88.24 %), followed by capsule (2/17, 11.76 %). Conclusion : This systematic review and Meta analysis suggested that, in the treatment of COVID-19, LHQW Capsule (Granule) could not only significantly improve the fever symptoms, shorten the fever time, but also reduce the cough and fatigue symptoms, improve the clinical efficiency, improve the lung CT, significantly reduce the number of patients with mild to severe diseases, and have certain anti-inflammatory effect. And there is no server adverse events which support the safety of LHQW Capsule (Granule) for the treatment of COVID-19. As a classic formula of TCM, LHQW Capsule (Granule) could be used as potential candidates for COVID-19 in this battle. | N/A | 2022 | | CORD-19 |
3809 | De cornetto | N/A | 2022 | | CORD-19 |
3810 | Sustainable business model innovation literature: a bibliometrics analysis Sustainable business model innovation (SBMI) has received growing attention since it can provide sustainable competitive advantages for corporations under a dynamic external environment. This paper aims to understand the current situations and progress of SBMI research by conducting a bibliometric study of the existing literature. By collecting data from Web of Science and using bibliometric tools, the basic characteristics of SBMI research are first presented to show the productivity and citations of publications utilizing recognized bibliometric indicators. Then, the cooperation networks among countries/regions, institutions, and authors are drawn to determine their collaborative relationships. Furthermore, keyword analysis is presented to explore the evolution of the hotspots and themes of SBMI research through co-occurrence analysis, burst detection analysis, and thematic evolution analysis. Finally, we integrate the antecedents-decisions-outcomes framework for SBMI research. The findings in this study indicate that the development of SBMI research is positive and that greater collaboration among institutions and authors is required to explore the internal drivers and design SBMI as well as other topics to be developed. | N/A | 2022 | | CORD-19 |
3811 | The productivity impact of short-term labor mobility across industries The restrictions on labor mobility imposed in the COVID-19 pandemic heighten the need to review in detail the role of mobility in improving productivity and fostering economic growth. In this study, we carry out a comprehensive analysis of business visits (BVs) understood as a productivity-enhancing intrapreneurial strategy, using the most extensive set of data available, covering 33 sectors and 14 countries during the period 1998–2013. Our database merges unique information on expenditures on BVs by sector, country, and year, sourced from the US National Business Travel Association, with OECD and World Bank productivity data. We find that BVs raise labor productivity in a significant way, but short-term labor mobility exhibits decreasing returns, being more crucial in those firms, sectors, and countries characterized by less mobility and by lower productivity performances. | N/A | 2022 | | CORD-19 |
3812 | Analysis of the impact of COVID-19 pandemic on the Brazilian distribution electricity market based on a socioeconomic regulatory model This paper evaluates the impact of the COVID-19 pandemic on the Brazilian distribution electricity market by applying a socioeconomic regulatory model called Optimized Tariff Model. The model quantifies the impact of the pandemic on the consumer’s quality of life and also on the economic performance of power distribution companies. Results indicate that both consumers and power distribution companies have been significantly affected in Brazil, especially companies that did not have access to the public policy proposed by the government, as they exhibited economic losses of more than 1 (GR$) in total. After analyzing the impact of the new coronavirus and the actions of the government in this context, an alternative mitigation measure (public policy) is proposed based on the Optimized Tariff Model and its feasibility examined. The alternative mitigation measure is also compared to the public policy proposed by the government and proved to be advantageous in some respects such as making bank loans unnecessary. | N/A | 2021 | | CORD-19 |
3813 | An Entangled Pedagogy: Looking Beyond the Pedagogy-Technology Dichotomy ‘Pedagogy first’ has become a mantra for educators, supported by the metaphor of the ‘pedagogical horse’ driving the ‘technological cart’. Yet putting technology first or last separates it from pedagogy, making us susceptible to technological or pedagogical determinism (i.e. where technology is seen either as the driving force of change or as a set of neutral tools). In this paper, I present a model of entangled pedagogy that encapsulates the mutual shaping of technology, teaching methods, purposes, values and context. Entangled pedagogy is collective, and agency is negotiated between teachers, students and other stakeholders. Outcomes are contingent on complex relations and cannot be determined in advance. I then outline an aspirational view of how teachers, students and others can collaborate whilst embracing uncertainty, imperfection, openness and honesty, and developing pedagogical knowledge that is collective, responsive and ethical. Finally, I discuss implications for evaluation and research, arguing that we must look beyond isolated ideas of technologies or teaching methods, to the situated, entangled combinations of diverse elements involved in educational activity. | N/A | 2022 | | CORD-19 |
3814 | 104P The potential for lung cancer detection in COVID-19 CT scans with AI technologies usage | Ann Oncol | 2022 | | CORD-19 |
3815 | 103P Effectiveness of artificial intelligence in retrospective COVID-19 lung CT analysis for lung cancer detection | Ann Oncol | 2022 | | CORD-19 |
3816 | 188P Efficacy of SARS-CoV-2 based mRNA vaccines for patients with thoracic malignancies with 6 months follow up: A prospective observational study | Ann Oncol | 2022 | | CORD-19 |
3817 | 190P COVID-19 pandemic impact on lung cancer patient's performance status and access to treatment: A comparative study pre and during COVID-19 era | Ann Oncol | 2022 | | CORD-19 |
3818 | 189P Assessment of seroconversion after SARS-CoV-2 vaccination in patients with lung cancer | Ann Oncol | 2022 | | CORD-19 |
3819 | 191P Lung cancer care in Europe during COVID-19: Findings from a global survey of patient experience | Ann Oncol | 2022 | | CORD-19 |
3820 | Engaging local youths in humanitarian response is not a matter of if but how Despite being critical responders in humanitarian crises, local youths are continually left out of the humanitarian action agenda. This paper used a qualitative methodology to investigate local youths’ role in humanitarian response and their impacts and assessed how humanitarian actors influence the effectiveness of youth engagement. The data was collected through semi-structured interviews with local youths who participated in the Ebola response in Sierra Leone. Findings showed that young people are significantly contributing to crises response. However, they lack an enabling environment and support system to convert their skills into valuable humanitarian resources efficiently. Therefore, despite the rhetoric that many reports and policies reflect, this study establishes that the realities of youth engagement in humanitarian activities are often misunderstood and controlled for the self-interest of different actors other than youths themselves. It advocates for a renewed focus and support for young people’s skills as paramount for effective humanitarian response and building back resilient communities after emergencies. Besides, engaging local youths in tackling crises empowers them with transferable skills and stimulates their passion for participating in development issues within their communities. | N/A | 2022 | | CORD-19 |
3821 | Selected Abstracts from the 2021 Atlantic Corridor Medical Student Research Conference: NUI Galway, November 10th 2021 | Ir J Med Sci | 2022 | | CORD-19 |
3822 | Book reviews | J Econ Inequal | 2022 | | CORD-19 |
3823 | Demographic biases and assessment fairness in classroom: insights from Iranian university teachers The literature indicates that the effects of sources of demographic biases on fairness in classroom assessment (CA) are under-researched in the Iranian higher education context. Hence, this study aims to explore the Iranian university teachers’ perceptions of the effects of demographic biases (e.g., gender, ethnicity, and socioeconomic (SES)) on their assessment fairness. With this aim, fifteen university teachers were selected using a criterion sampling method at Ayatollah Borujerdi University, Iran. To gather the required data, a reflective written statement was completed by the participants. The participants’ responses were translated verbatim into English and subjected to a standard thematic coding analysis. Findings yielded three recurring themes: ‘gender bias is prevalent in assessment practices’, ethnicity bias affects adversely assessment practices, and ‘SES bias jeopardizes fairness in assessment practices’. The results evidenced that gender, ethnicity, and SES biases can act as a major source of score pollution in CA. This study ends with proposing a range of implications for different testing stakeholders. | N/A | 2022 | | CORD-19 |
3824 | Benefits of Diversification into Airfreight for Passenger Airlines The benefits gained by airlines based outside Russia as a result of diversification into airfreight are analyzed. On that basis, a model is developed to describe the interaction of the subsidiary freight line with the parent corporation and external parties by means of the international system of reciprocal payments. This approach would permit more effective management of all freight operations of Russian airlines. | N/A | 2022 | | CORD-19 |
3825 | Did COVID-19 affect scientific journals as it affected Surgery ? SODA as new way to exchange | N/A | 2022 | | CORD-19 |
3826 | Matroid psi classes Motivated by the intersection theory of moduli spaces of curves, we introduce psi classes in matroid Chow rings and prove a number of properties that naturally generalize properties of psi classes in Chow rings of Losev-Manin spaces. We use these properties of matroid psi classes to give new proofs of (1) a Chow-theoretic interpretation for the coefficients of the reduced characteristic polynomials of matroids, (2) explicit formulas for the volume polynomials of matroids, and (3) Poincaré duality for matroid Chow rings. | N/A | 2022 | | CORD-19 |
3827 | Design Knowledge for Deep-Learning-Enabled Image-Based Decision Support Systems: Evidence From Power Line Maintenance Decision-Making With the ever-increasing societal dependence on electricity, one of the critical tasks in power supply is maintaining the power line infrastructure. In the process of making informed, cost-effective, and timely decisions, maintenance engineers must rely on human-created, heterogeneous, structured, and also largely unstructured information. The maturing research on vision-based power line inspection driven by advancements in deep learning offers first possibilities to move towards more holistic, automated, and safe decision-making. However, (current) research focuses solely on the extraction of information rather than its implementation in decision-making processes. The paper addresses this shortcoming by designing, instantiating, and evaluating a holistic deep-learning-enabled image-based decision support system artifact for power line maintenance at a German distribution system operator in southern Germany. Following the design science research paradigm, two main components of the artifact are designed: A deep-learning-based model component responsible for automatic fault detection of power line parts as well as a user-oriented interface responsible for presenting the captured information in a way that enables more informed decisions. As a basis for both components, preliminary design requirements are derived from literature and the application field. Drawing on justificatory knowledge from deep learning as well as decision support systems, tentative design principles are derived. Based on these design principles, a prototype of the artifact is implemented that allows for rigorous evaluation of the design knowledge in multiple evaluation episodes, covering different angles. Through a technical experiment the technical novelty of the artifact’s capability to capture selected faults (regarding insulators and safety pins) in unmanned aerial vehicle (UAV)-captured image data (model component) is validated. Subsequent interviews, surveys, and workshops in a natural environment confirm the usefulness of the model as well as the user interface component. The evaluation provides evidence that (1) the image processing approach manages to address the gap of power line component inspection and (2) that the proposed holistic design knowledge for image-based decision support systems enables more informed decision-making. The paper therefore contributes to research and practice in three ways. First, the technical feasibility to detect certain maintenance-intensive parts of power lines with the help of unique UAV image data is shown. Second, the distribution system operators’ specific problem is solved by supporting decisions in maintenance with the proposed image-based decision support system. Third, precise design knowledge for image-based decision support systems is formulated that can inform future system designs of a similar nature. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12599-022-00745-z. | N/A | 2022 | | CORD-19 |
3828 | Potential stressors in (prospective) physical education teachers: a comparison of different career stages Previous studies have identified stressors in physical education (PE) teachers. However, these studies lack a comprehensive consideration of potential teaching-related stressors combined with an analysis of differences in these potential stressors between different career stages. Given that many physical education teachers suffer from stress, the purpose of the present study was to investigate potential stressors in three career stages of (prospective) physical education teachers (student teachers, pre-service teachers, teachers) in order to further develop their education in terms of stress management. The results of a survey of 723 German (prospective) physical education teachers (255 student teachers, 117 pre-service teachers, 351 teachers) showed that, overall, noise, heterogeneity of students, and inadequate curriculum were reported to be the most frequent potential stressors. When controlling for teaching hours per week, teachers, and pre-service teachers did not differ in the frequency of potential stressors. However, both teachers and pre-service teachers reported significantly less lack of facilities/equipment, pupils’ discipline problems, and lack of pupils’ motivation than student teachers, and significantly more noise than PE student teachers. Additionally, teachers reported more heterogeneity of pupils than student teachers. These findings can be explained by characteristics of the specific career stages. For practical application, it can be concluded that there is a need for coping interventions that are tailored to the stressors which are salient in a specific career phase. In future research, studies should investigate stressors in different career stages longitudinally. | N/A | 2022 | | CORD-19 |
3829 | AORTIC VALVULITIS POST-COVID-19 | J Am Coll Cardiol | 2022 | | CORD-19 |
3830 | ANALYSIS OF MYOCARDIAL INFARCTION AND MYOCARDIAL INFARCTION COMPLICATIONS BEFORE AND DURING COVID-19 PANDEMIC FROM MULTIPLE HOSPITALS | J Am Coll Cardiol | 2022 | | CORD-19 |
3831 | RELATIONSHIP BETWEEN PARAMETERS OF RIGHT VENTRICULAR HEMODYNAMICS TO OUTCOMES IN COVID-19: CLINICAL AND ECHOCARDIOGRAPHIC COMPARISONS BETWEEN THE FIRST AND SECOND WAVES OF THE PANDEMIC | J Am Coll Cardiol | 2022 | | CORD-19 |
3832 | STRAIN IMAGING AS AN EARLY PROGNOSTIC INDICATOR FOR LATE COMPLICATIONS IN COVID-19 PATIENTS | J Am Coll Cardiol | 2022 | | CORD-19 |
3833 | OUTPATIENT CARDIAC MONITORING TO DETERMINE ARRHYTHMIC BURDEN AFTER COVID-19 HOSPITALIZATION | J Am Coll Cardiol | 2022 | | CORD-19 |
3834 | Antineoplastics: Leucopenia, skin rash and pruritus: case report | N/A | 2022 | | CORD-19 |
3835 | A NOVEL APPROACH TO TEACHING CORONARY ANGIOGRAPHY USING 3D-PRINTING Background: Coronary angiography (CAG) is a fundamental component of cardiology fellowship. As the impact of COVID-19 fueled the need for self-directed and remote learning, we sought to develop a resource that would address this need and improve angiogram interpretation skills among fellows. To this aim we developed a teaching tool correlating fluoroscopic projections with a 3D-printed physical and digital model of coronary anatomy derived from coronary CT. We hypothesized that fellows exposed to this resource would benefit from improved comprehension of spatial concepts in CAG compared to usual resources. Methods: Twenty-two cardiology fellows were randomly assigned to exposure of the teaching tool versus usual resources. An exam assessing comprehension of the spatial orientation of coronary anatomy, aortic cusps, and catheter tip position in relation to fluoroscopic views was administered before and after a six-week exposure period. Scores were compared, and qualitative feedback was obtained using the Likert scale. Results: Fellows exposed to the content achieved a greater improvement on their exam score and were more likely to improve (Figure). All fellows felt the content was superior to existing resources and will improve their comprehension of CAG. Conclusion: Educational platforms leveraging 3D printing can enhance comprehension of CAG among cardiology fellows, and may serve as valuable resources to promote self-directed and remote learning. [Formula presented] | J Am Coll Cardiol | 2022 | | CORD-19 |
3836 | ECHOCARDIOGRAPHIC STRAIN IMAGING PATTERNS IN PATIENTS RECOVERED FROM RECENT COVID-19 DISEASE | J Am Coll Cardiol | 2022 | | CORD-19 |
3837 | A CASE SERIES OF CONDUCTION ABNORMALITIES IN COVID PATIENTS | J Am Coll Cardiol | 2022 | | CORD-19 |
3838 | RELATION OF 10-YEAR ASCVD RISK SCORE WITH SEVERE COVID-19 OUTCOMES | J Am Coll Cardiol | 2022 | | CORD-19 |
3839 | CORONARY MICROVASCULAR HEALTH IN PATIENTS WITH PRIOR COVID-19 INFECTION: IMPLICATIONS FOR LONG-COVID SYNDROME | J Am Coll Cardiol | 2022 | | CORD-19 |
3840 | DOUBLE WHAMMY: NEAR SIMULTANEOUS DEVELOPMENT OF CORONARY THROMBOSIS AND PULMONARY EMBOLI IN A PATIENT WITH COVID-19 | J Am Coll Cardiol | 2022 | | CORD-19 |
3841 | EPIPERICARDIAL FAT NECROSIS: A RARE, POTENTIAL COMPLICATION OF COVID-19 PNEUMONIA | J Am Coll Cardiol | 2022 | | CORD-19 |
3842 | CONSTRICTIVE PERICARDITIS: A RARE COMPLICATION FOLLOWING COVID-19 INFECTION | J Am Coll Cardiol | 2022 | | CORD-19 |
3843 | PREMATURE ATRIAL CONTRACTION REQUIRING ABLATION IN YOUNG PATIENT WITH COVID-19 | J Am Coll Cardiol | 2022 | | CORD-19 |
3844 | COVID HEARTBREAK | J Am Coll Cardiol | 2022 | | CORD-19 |
3845 | COVID-19 TELEHEALTH PREPAREDNESS: A CROSS-SECTIONAL ASSESSMENT OF CARDIOLOGY PRACTICES IN THE UNITED STATES | J Am Coll Cardiol | 2022 | | CORD-19 |
3846 | SARS-COV-2 VACCINE INDUCED MYOCARDITIS WITH SEVERE QT PROLONGATION | J Am Coll Cardiol | 2022 | | CORD-19 |
3847 | INCREASED MORTALITY AND WORSE CARDIAC OUTCOME OF ACUTE MYOCARDIAL INFARCTION IN THE COVID-19 PATIENTS | J Am Coll Cardiol | 2022 | | CORD-19 |
3848 | THE EFFECT OF LONG-TERM USE OF ASPIRIN ON THE OUTCOMES OF COVID-19 INFECTION IN PATIENTS WITH A HISTORY OF CORONARY ARTERY DISEASE AND DIABETES | J Am Coll Cardiol | 2022 | | CORD-19 |
3849 | THINKING OUT OF BOX: A CHALLENGING MANIFESTATION OF PHEOCHROMOCYTOMA CRISIS IN COVID-19 ERA | J Am Coll Cardiol | 2022 | | CORD-19 |
3850 | Azithromycin/dexamethasone/methylprednisolone: Aspergillosis, mucormycosis and off-label use: case report | N/A | 2022 | | CORD-19 |