956 10 20655 https://www.socictopen.socict.org/files/original/e94cdf04262aaabf7b3045572e69f611.pdf 7f891bd4a8dabe9c2ed0d50549de3ea1 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Towards Detecting Pneumonia Progression in COVID-19 Patients by Monitoring Sleep Disturbance Using Data Streams of Non-Invasive Sensor Networks Creator An entity primarily responsible for making the resource Ivan Miguel Pires, Nuno M. Garcia, María Vanessa Villasana, Eftim Zdravevski, Vladimir Trajkovik, Ace Dimitrievski, Petre Lameski, Francisco Flórez-Revuelta Description An account of the resource Pneumonia caused by COVID-19 is a severe health risk that sometimes leads to fatal outcomes. Due to constraints in medical care systems, technological solutions should be applied to diagnose, monitor, and alert about the disease’s progress for patients receiving care at home. Some sleep disturbances, such as obstructive sleep apnea syndrome, can increase the risk for COVID-19 patients. This paper proposes an approach to evaluating patients’ sleep quality with the aim of detecting sleep disturbances caused by pneumonia and other COVID-19-related pathologies. We describe a non-invasive sensor network that is used for sleep monitoring and evaluate the feasibility of an approach for training a machine learning model to detect possible COVID-19-related sleep disturbances. We also discuss a cloud-based approach for the implementation of the proposed system for processing the data streams. Based on the preliminary results, we conclude that sleep disturbances are detectable with affordable and non-invasive sensors. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, sensors, connected healthcare Identifier An unambiguous reference to the resource within a given context 10.3390/s21093030 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chemical technology https://www.socictopen.socict.org/files/original/24ee73e9cadb4bf47e2fbc6d5948f987.pdf ffb97abf7190228ddad41829f99da341 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 1H, 13C, 15N and 31P chemical shift assignment for stem-loop 4 from the 5'-UTR of SARS-CoV-2. Creator An entity primarily responsible for making the resource Stephen A Peter, Nusrat S Qureshi, Julia E Weigand, Jennifer Vögele, Jan-Peter Ferner, Nadide Altincekic, Jasleen Kaur Bains, Betül Ceylan, Boris Fürtig, J Tassilo Grün, Martin Hengesbach, Katharina F Hohmann, Daniel Hymon, Bozana Knezic, Frank Löhr, Dennis Pyper, Christian Richter, Andreas Schlundt, Harald Schwalbe, Elke Stirnal, Alexey Sudakov, Anna Wacker, Julia Wirmer-Bartoschek, Jens Wöhnert, Elke Duchardt-Ferner Description An account of the resource The SARS-CoV-2 virus is the cause of the respiratory disease COVID-19. As of today, therapeutic interventions in severe COVID-19 cases are still not available as no effective therapeutics have been developed so far. Despite the ongoing development of a number of effective vaccines, therapeutics to fight the disease once it has been contracted will still be required. Promising targets for the development of antiviral agents against SARS-CoV-2 can be found in the viral RNA genome. The 5'- and 3'-genomic ends of the 30 kb SCoV-2 genome are highly conserved among Betacoronaviruses and contain structured RNA elements involved in the translation and replication of the viral genome. The 40 nucleotides (nt) long highly conserved stem-loop 4 (5_SL4) is located within the 5'-untranslated region (5'-UTR) important for viral replication. 5_SL4 features an extended stem structure disrupted by several pyrimidine mismatches and is capped by a pentaloop. Here, we report extensive 1H, 13C, 15N and 31P resonance assignments of 5_SL4 as the basis for in-depth structural and ligand screening studies by solution NMR spectroscopy. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource SARS-CoV-2, Covid19-NMR, Solution NMR-spectroscopy, RNA genome, 5′-UTR, 5_SL4 Identifier An unambiguous reference to the resource within a given context 10.1007/s12104-021-10026-7 Source A related resource from which the described resource is derived Biomolecular NMR assignments https://www.socictopen.socict.org/files/original/1c7cdfdefd3f32dc4a8699526c159435.pdf 4e5d0b0c47925508b63d99a0b67dc608 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Capturing Beneficial Changes to Racehorse Veterinary Care Implemented during the COVID-19 Pandemic Creator An entity primarily responsible for making the resource Deborah Butler, Lois Upton, Siobhan Mullan Description An account of the resource In March 2020, the World Health Organisation called for countries to take urgent and aggressive action against a global pandemic caused by COVID-19. Restrictions were introduced in many countries to reduce transmission of COVID-19 and ultimately deaths. Such restrictions have been colloquially referred to as “lockdown”. Anecdotal evidence of the beneficial practices that facilitated safe veterinary treatment and equine care had been reported together with an increase in the use of electronic communication and information technologies during the first “lockdown”. Thus, the aim of this qualitative study was to capture any beneficial changes to racehorse veterinary care that were implemented during the first “lockdown” period in the UK that lasted from 23 March to 12 May 2020. Ten equine veterinary surgeons who primarily treat racehorses and 10 racehorse trainers were interviewed either by telephone or by videoconferencing. After using thematic analysis from a critical realist social constructionist perspective, four themes were identified. These were, firstly, according to our participants, the trainer–vet relationship is predicated upon a good working relationship, secondly, there had been little or no change in the vet–trainer relationship during the first “lockdown” period. Thirdly, when COVID-19 restrictions were in force, more remote consultations took place using images or videos as well as telephone consults, viewed favourably by both trainers and vets, and finally, intermittent connectivity and poor-quality images and videos limited their effectiveness. In order to fully benefit from the positive changes employed by some vets and trainers in their working relationships, we recommend that rural connectivity is prioritised. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, telemedicine, connectivity, Thematic analysis, racehorse veterinary care, telephone interviewing Identifier An unambiguous reference to the resource within a given context 10.3390/ani11051251 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Veterinary medicine, Zoology https://www.socictopen.socict.org/files/original/972782865f78b0789bf886c7b8f3a4b6.pdf 0dc205a616bb370ee386ce190d1eccd2 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Death Anxiety in Social Workers as a Consequence of the COVID-19 Pandemic Creator An entity primarily responsible for making the resource José Ángel Martínez-López, Cristina Lázaro-Pérez, José Gómez-Galán Description An account of the resource The COVID-19 pandemic has affected all social spaces, conditioning our daily routines, including those at work. All professions have been affected by stressful situations and anxiety in the proximity’s face of death generated by the pandemic. In this context, some professionals have emerged as essential, as social workers, acting in extreme situations in the face of increased demands and social uncertainty arising from the health crisis. The present study aimed to determine the levels of anxiety about death among social workers in Spain. For this purpose, an ad hoc questionnaire was designed, taking the Collett and Lester Fear of Death Scale as a reference (n = 304). The exploitation of the data was carried out from a quantitative perspective. First, a descriptive analysis was performed. Then, binary logistic regressions were carried out on the general scale. The dependent variable in all of them was the risk of suffering death anxiety to the set of its subscales. The main research results show high values of this anxiety in social workers concerning the general value of the scale—and the subscales—and the point of view of state and process. The highest values were Fear of Death of Others (81.6%) and Fear of the Process of Dying of Others (78.3%). Regarding the binary logistic regressions applied, predictor variables were identified in all of them, but the following stand out: Lack of personal protection equipment and Need psychological or psychiatric support. In addition, being a woman increases the risk of suffering Fear of the Dying Process of others. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource Prevention, covid-19, health crisis, Death Anxiety, social workers Identifier An unambiguous reference to the resource within a given context 10.3390/bs11050061 Source A related resource from which the described resource is derived Biotemas Publisher An entity responsible for making the resource available Universidade Federal de Santa Catarina Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Psychology https://www.socictopen.socict.org/files/original/dc0157985d1ab63c203a78addd316554.pdf d3bc5b787431b6c21545447b320777c9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Effects of SARS-CoV-2 on Cardiovascular System: The Dual Role of Angiotensin-Converting Enzyme 2 (ACE2) as the Virus Receptor and Homeostasis Regulator-Review Creator An entity primarily responsible for making the resource Antonio Paolo Beltrami, Aneta Aleksova, Giulia Gagno, Gianfranco Sinagra, Milijana Janjusevic, Giuseppe Ippolito, Alimuddin Zumla, Alessandra Lucia Fluca, Federico Ferro Description An account of the resource Angiotensin-converting enzyme 2 (ACE2) is the entry receptor for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the cause of Coronavirus Disease-2019 (COVID-19) in humans. ACE-2 is a type I transmembrane metallocarboxypeptidase expressed in vascular endothelial cells, alveolar type 2 lung epithelial cells, renal tubular epithelium, Leydig cells in testes and gastrointestinal tract. ACE2 mediates the interaction between host cells and SARS-CoV-2 spike (S) protein. However, ACE2 is not only a SARS-CoV-2 receptor, but it has also an important homeostatic function regulating renin-angiotensin system (RAS), which is pivotal for both the cardiovascular and immune systems. Therefore, ACE2 is the key link between SARS-CoV-2 infection, cardiovascular diseases (CVDs) and immune response. Susceptibility to SARS-CoV-2 seems to be tightly associated with ACE2 availability, which in turn is determined by genetics, age, gender and comorbidities. Severe COVID-19 is due to an uncontrolled and excessive immune response, which leads to acute respiratory distress syndrome (ARDS) and multi-organ failure. In spite of a lower ACE2 expression on cells surface, patients with CVDs have a higher COVID-19 mortality rate, which is likely driven by the imbalance between ADAM metallopeptidase domain 17 (ADAM17) protein (which is required for cleavage of ACE-2 ectodomain resulting in increased ACE2 shedding), and TMPRSS2 (which is required for spike glycoprotein priming). To date, ACE inhibitors and Angiotensin II Receptor Blockers (ARBs) treatment interruption in patients with chronic comorbidities appears unjustified. The rollout of COVID-19 vaccines provides opportunities to study the effects of different COVID-19 vaccines on ACE2 in patients on treatment with ACEi/ARB. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource TMPRSS2, covid-19, SARS-CoV-2, ACE2, Ras, Cardiovascular system Identifier An unambiguous reference to the resource within a given context 10.3390/ijms22094526 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General), Chemistry https://www.socictopen.socict.org/files/original/73dc42906a96433ceac436d2bfa85258.pdf 832f9bb242da4b2b71ba429aa2ffb8e5 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource New Heart Failure Diagnoses Among Patients Hospitalized for COVID-19. Creator An entity primarily responsible for making the resource Jesus Alvarez-Garcia, Suraj Jaladanki, Mercedes Rivas-Lasarte, Matthew Cagliostro, Arjun Gupta, Aditya Joshi, Peter Ting, Sumeet S Mitter, Emilia Bagiella, Donna Mancini, Anuradha Lala Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1016/j.jacc.2021.03.006 Source A related resource from which the described resource is derived Journal of the American College of Cardiology https://www.socictopen.socict.org/files/original/1771e9586c89c70c8d2a2ca013dc9173.pdf bd360324eb199d7243fbd72548ae6107 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Smartpathk: a platform for teaching glomerulopathies using machine learning Creator An entity primarily responsible for making the resource Nayze Lucena Sangreman Aldeman, Keylla Maria de Sá Urtiga Aita, Vinícius Ponte Machado, Luiz Claudio Demes da Mata Sousa, Antonio Gilberto Borges Coelho, Adalberto Socorro da Silva, Ana Paula da Silva Mendes, Francisco Jair de Oliveira Neres, Semíramis Jamil Hadad do Monte Description An account of the resource Abstract Background With the emergence of the new coronavirus pandemic (COVID-19), distance learning, especially that mediated by information and digital communication technologies, has been adopted in all areas of knowledge and at all levels, including medical education. Imminently practical areas, such as pathology, have made traditional teaching based on conventional microscopy more flexible through the synergies of computational tools and image digitization, not only to improve teaching-learning but also to offer alternatives to repetitive and exhaustive histopathological analyzes. In this context, machine learning algorithms capable of recognizing histological patterns in kidney biopsy slides have been developed and validated with a view to building computational models capable of accurately identifying renal pathologies. In practice, the use of such algorithms can contribute to the universalization of teaching, allowing quality training even in regions where there is a lack of good nephropathologists. The purpose of this work is to describe and test the functionality of SmartPathk, a tool to support teaching of glomerulopathies using machine learning. The training for knowledge acquisition was performed automatically by machine learning methods using the J48 algorithm to create a computational model of an appropriate decision tree. Results An intelligent system, SmartPathk, was developed as a complementary remote tool in the teaching-learning process for pathology teachers and their students (undergraduate and graduate students), showing 89,47% accuracy using machine learning algorithms based on decision trees. Conclusion This artificial intelligence system can assist in teaching renal pathology to increase the training capacity of new medical professionals in this area. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource Kidney, machine learning, digital pathology, intelligent system, renal pathology Identifier An unambiguous reference to the resource within a given context 10.1186/s12909-021-02680-1 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine, Special aspects of education https://www.socictopen.socict.org/files/original/a0e49063d61dcb57461dab29a6439510.pdf bfd23729ffed6ac26eb9fc9f53769b10 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Changes and Adaptations: How University Students Self-Regulate Their Online Learning During the COVID-19 Pandemic Creator An entity primarily responsible for making the resource Felicitas Biwer, Wisnu Wiradhany, Mirjam oude Egbrink, Harm Hospers, Stella Wasenitz, Walter Jansen, Anique de Bruin Description An account of the resource During the COVID-19 (coronavirus disease 2019) pandemic, universities had to shift from face-to-face to emergency remote education. Students were forced to study online, with limited access to facilities and less contact with peers and teachers, while at the same time being exposed to more autonomy. This study examined how students adapted to emergency remote learning, specifically focusing on students’ resource-management strategies using an individual differences approach. One thousand eight hundred university students completed a questionnaire on their resource-management strategies and indicators of (un)successful adaptation to emergency remote learning. On average, students reported being less able to regulate their attention, effort, and time and less motivated compared to the situation before the crisis started; they also reported investing more time and effort in their self-study. Using a k-means cluster analysis, we identified four adaptation profiles and labeled them according to the reported changes in their resource-management strategies: the overwhelmed, the surrenderers, the maintainers, and the adapters. Both the overwhelmed and surrenderers appeared to be less able to regulate their effort, attention, and time and reported to be less motivated to study than before the crisis. In contrast, the adapters appreciated the increased level of autonomy and were better able to self-regulate their learning. The resource-management strategies of the maintainers remained relatively stable. Students’ responses to open-answer questions on their educational experience, coded using a thematic analysis, were consistent with the quantitative profiles. Implications about how to support students in adapting to online learning are discussed. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, Cluster analysis, higher education, self regulated learning, emergency remote learning, resource management strategies Identifier An unambiguous reference to the resource within a given context 10.3389/fpsyg.2021.642593 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Psychology https://www.socictopen.socict.org/files/original/853b1a6eb7220dd87e4298a802b5642c.pdf 403f55819f35570488b1abdc739020fd Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Examining the diffusion of coronavirus disease 2019 cases in a metropolis: a space syntax approach Creator An entity primarily responsible for making the resource Yepeng Yao, Wenzhong Shi, Anshu Zhang, Zhewei Liu, Shuli Luo Description An account of the resource Abstract Background The urban built environment (BE) has been globally acknowledged as one of the main factors that affects the spread of infectious disease. However, the effect of the street network on coronavirus disease 2019 (COVID-19) incidence has been insufficiently studied. Severe acute respiratory syndrome coronavirus 2, which causes COVID-19, is far more transmissible than previous respiratory viruses, such as severe acute respiratory syndrome coronavirus, which highlights the role of the spatial configuration of street network in COVID-19 spread, as it is where humans have contact with each other, especially in high-density areas. To fill this research gap, this study utilized space syntax theory and investigated the effect of the urban BE on the spatial diffusion of COVID-19 cases in Hong Kong. Method This study collected a comprehensive dataset including a total of 3815 confirmed cases and corresponding locations from January 18 to October 5, 2020. Based on the space syntax theory, six space syntax measures were selected as quantitative indicators for the urban BE. A linear regression model and Geographically Weighted Regression model were then applied to explore the underlying relationships between COVID-19 cases and the urban BE. In addition, we have further improved the performance of GWR model considering the spatial heterogeneity and scale effects by adopting an adaptive bandwidth. Result Our results indicated a strong correlation between the geographical distribution of COVID-19 cases and the urban BE. Areas with higher integration (a measure of the cognitive complexity required for a pedestrians to reach a street) and betweenness centrality values (a measure of spatial network accessibility) tend to have more confirmed cases. Further, the Geographically Weighted Regression model with adaptive bandwidth achieved the best performance in predicting the spread of COVID-19 cases. Conclusion In this study, we revealed a strong positive relationship between the spatial configuration of street network and the spread of COVID-19 cases. The topology, network accessibility, and centrality of an urban area were proven to be effective for use in predicting the spread of COVID-19. The findings of this study also shed light on the underlying mechanism of the spread of COVID-19, which shows significant spatial variation and scale effects. This study contributed to current literature investigating the spread of COVID-19 cases in a local scale from the space syntax perspective, which may be beneficial for epidemic and pandemic prevention. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, Built environment, geographically weighted regression, space syntax Identifier An unambiguous reference to the resource within a given context 10.1186/s12942-021-00270-4 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Computer applications to medicine. Medical informatics https://www.socictopen.socict.org/files/original/03f1ef0ba9f3cc6bf7d1337bb3ec41b9.pdf 0c50958f46fb20c7381c950ea71b953e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Ethical considerations and patient safety concerns for cancelling non-urgent surgeries during the COVID-19 pandemic: a review Creator An entity primarily responsible for making the resource Brian V. Lien, Nolan J. Brown, Bayard Wilson, Stephen Szabadi, Cameron Quon, Vera Ong, Alexander Himstead, Nathan A. Shlobin, Chen Yi Yang, Shane Shahrestani, Katelynn Tran, Ali R. Tafreshi, Jack Birkenbeuel, Seth C. Ransom, Elliot H. Choi, Ronald Sahyouni, Alvin Y. Chan, Aaron Kheriaty, Isaac Yang Description An account of the resource Abstract At the time of writing of this article, there have been over 110 million cases and 2.4 million deaths worldwide since the start of the Coronavirus Disease 2019 (COVID-19) pandemic, postponing millions of non-urgent surgeries. Existing literature explores the complexities of rationing medical care. However, implications of non-urgent surgery postponement during the COVID-19 pandemic have not yet been analyzed within the context of the four pillars of medical ethics. The objective of this review is to discuss the ethics of elective surgery cancellation during the COVID-19 pandemic in relation to beneficence, non-maleficence, justice, and autonomy. This review hypothesizes that a more equitable decision-making algorithm can be formulated by analyzing the ethical dilemmas of elective surgical care during the pandemic through the lens of these four pillars. This paper’s analysis shows that non-urgent surgeries treat conditions that can become urgent if left untreated. Postponement of these surgeries can cause cumulative harm downstream. An improved algorithm can address these issues of beneficence by weighing local pandemic stressors within predictive algorithms to appropriately increase surgeries. Additionally, the potential harms of performing non-urgent surgeries extend beyond the patient. Non-maleficence is maintained through using enhanced screening protocols and modifying surgical techniques to reduce risks to patients and clinicians. This model proposes a system to transfer patients from areas of high to low burden, addressing the challenge of justice by considering facility burden rather than value judgments concerning the nature of a particular surgery, such as cosmetic surgeries. Autonomy can be respected by giving patients the option to cancel or postpone non-urgent surgeries. However, in the context of limited resources in a global pandemic, autonomy is not absolute. Non-urgent surgeries can ethically be postponed in opposition to the patient’s preference. The proposed algorithm attempts to uphold the four principles of medical ethics in rationing non-urgent surgical care by building upon existing decision models, using additional measures of resource burden and surgical safety to increase health care access and decrease long-term harm as much as possible. The next global health crisis will undoubtedly present its own unique challenges. This model may serve as a comprehensive starting point in determining future guidelines for non-urgent surgical care. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, ethics, Non-urgent surgery Identifier An unambiguous reference to the resource within a given context 10.1186/s13037-021-00293-7 Source A related resource from which the described resource is derived Biotemas Publisher An entity responsible for making the resource available Universidade Federal de Santa Catarina Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Surgery