261 10 20655 https://www.socictopen.socict.org/files/original/3b2220dcaf9aa8411c0ddd7738db064e.pdf 48fb8617d60069b650fa9fe0d11d9930 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 Plasma CRP level is positively associated with the severity of COVID-19 Creator An entity primarily responsible for making the resource Wei Chen, Zhihan Yan, Kenneth I. Zheng, Saiduo Liu, Chongyong Xu, Zengpei Qiao Description An account of the resource Abstract Aims The coronavirus disease 2019 (COVID-19) is characterized as highly contagious and deadly; however there is no credible and convenient biomarker to predict the severity of the disease. The aim of the present study was to estimate whether the CRP level is able to act as a marker in indicating the severity of COVID-19. Methods Patients who complained cough or chest pain with or without fever were enrolled after laboratory confirmed of SARS-CoV-2 viral nucleic acid via qRT-PCR. Chest computed tomography (CT) was then performed to classify the patients into mild, moderate and severe pneumonia groups according to the interim management guideline. Then linear regression models were applied to analyze the association between c-reactive protein (CRP) levels and severity of COVID-19 pneumonia. Results When compared to mild pneumonia, the adjusted-Odds Ratio were 11.46, p = 0.029 and 23.40, p = 0.025 in moderate and severe pneumonia, respectively. The area under receiver operation curve was 0.898 (95% CI 0.835, 0.962, p  Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Pneumonia, CRP, CT, Severity, SARS-CoV-2 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12941-020-00362-2 Source A related resource from which the described resource is derived Annals of Clinical Microbiology and Antimicrobials Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Infectious and parasitic diseases, Therapeutics. Pharmacology, Microbiology https://www.socictopen.socict.org/files/original/2de517fd1e681a1c5506284b3a7c22df.pdf 1ca91520bd57239d10746d020ae891ee 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 Use of Saliva for Diagnosis and Monitoring the SARS-CoV-2: A General Perspective Creator An entity primarily responsible for making the resource Elsa Lamy, Pía López-Jornet, Fernando Capela e Silva, Asta Tvarijonaviciute, Jose J. Ceron, Silvia Martínez-Subiela, Peter David Eckersall Description An account of the resource In this report, updated information and future perspectives about the use of saliva as a sample for laboratory analysis of the Covid-19 are highlighted. Saliva can be used for the direct detection of the SARS-CoV-2 virus, the quantification of the specific immunoglobulins produced against it, and for the evaluation of the non-specific, innate immune response of the patient. Moreover, a deeper knowledge of potential changes in the saliva proteome in this disease may allow the identification of new diagnostic and prognostic biomarkers, or even help our understanding of the mechanisms associated with the disease. With the development of appropriate sample collection and processing methods and the use of adequate assays, saliva can provide useful clinical information about the disease and could be potentially included in guidelines for sample collection for the diagnosis, disease management, and control of Covid-19. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Saliva, coronavirus, SARS, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/jcm9051491 Source A related resource from which the described resource is derived Journal of Clinical Medicine Publisher An entity responsible for making the resource available MDPI AG 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 https://www.socictopen.socict.org/files/original/6b41d62fc61e75713e9d8e1a6aee9c98.pdf 3a7ff25fa083f6c7ab964b2d60387ee0 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 Improving testing for COVID-19 for the rural Southwestern American Indian tribes Creator An entity primarily responsible for making the resource Sood A, Sood V, Chhabra A Description An account of the resource No abstract available. Article truncated after 150 words. Coronavirus disease 2019 (COVID-19) is caused by the severe acute respiratory syndrome-related coronavirus-2 (SARS–CoV-2) infection. The United States (US) currently has more officially reported cases and deaths from COVID-19 than any other country in the world. The rural Southwestern American Indian (SAI) tribes are disproportionately affected, due to genetics, immunological naivety, social determinants of health, and high prevalence of concomitant comorbidities and co-exposures (1). On March 30, 2020, the New Mexico Governor, Michelle Lujan Grisham, informed the US President Donald Trump of the “incredible spikes” in cases of COVID-19 within the Navajo Nation in the rural Four Corners region of the American Southwest (2). The Governor warned that the disease “... could wipe out those tribal nations.”Use of COVID-19 testing as an approach to combating the pandemic is supported by an Iceland-based epidemiological study, and endorsed by the World Health Organization (3). Rural states in the US rank … Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Indian, incidence, coronavirus, native, rural, Testing, American, SARS-CoV-2, COVID-19, best test Identifier An unambiguous reference to the resource within a given context DOI: 10.13175/swjpcc037-20 Source A related resource from which the described resource is derived Southwest Journal of Pulmonary and Critical Care Publisher An entity responsible for making the resource available Arizona Thoracic Society Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medical emergencies. Critical care. Intensive care. First aid, General works https://www.socictopen.socict.org/files/original/e78a0a4cbf5a79995f3dfe27775636ba.pdf 74334b3dbd7e02010b9c5b8c61fdc3a8 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 Special Care Dentistry and COVID-19 Outbreak: What Lesson Should We Learn? Creator An entity primarily responsible for making the resource Arkadiusz Dziedzic Description An account of the resource The recent outbreak of coronavirus disease 2019 (COVID-19) caused by the emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the declaration of pandemic by the World Health Organization have made an enormous impact on medical and dental care across the world. The current COVID-19 situation may teach dental teams a better approach and optimal ways concerning the management of patients with special needs, by bringing people together to discuss and optimize standards of care, as often happens in challenging situations. We can always learn new things that turn out to be valuable and useful even in exceptionally difficult times, and in addition, dental services can benefit from enabling positive attitudes and introducing constructive changes. Clinicians just need to keep in mind that adjustment to a new future reality appears inevitable for both patients and professionals who provide care. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource service provision, special care dentistry, COVID-19, coronavirus sars-cov-2 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/dj8020046 Source A related resource from which the described resource is derived Dentistry Journal Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Dentistry https://www.socictopen.socict.org/files/original/8e3b5fdb82a2dfa756b92069da1ba11e.pdf 34f541cea572995f04883953f342a1a5 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 Social Stigma during COVID-19 and its Impact on HCWs Outcomes Creator An entity primarily responsible for making the resource Venerando Rapisarda, Caterina Ledda, Massimiliano Barattucci, Tiziana Ramaci Description An account of the resource The COVID-19 emergency has significantly transformed the working environment and job demands. Providing care was emotionally difficult for healthcare workers. Uncertainty, stigmatisation, and potentially exposing their families to infection were prominent themes for healthcare workers (HCWs) during the crisis, which first broke out in China at the end of 2019, and then in Italy in early 2020. This study examined the effects of stigma, job demands, and self-esteem, and the consequences of working as a “frontline care provider” with patients infected with the coronavirus (COVID-19). A correlational design study involved 260 healthcare workers (HCWs) working in a large hospital in southern Italy. The following questionnaires were administered: 1) the Job Content Questionnaire (JCQ), for assessing psychological and physical demands; 2) the Professional Quality of Life Scale (ProQOL) to measure the quality individuals feel in relation to their work as “frontline care providers”, through three dimensions: compassion fatigue (CF), burnout (BO), and compassion satisfaction (CS); 3) the Rosenberg Self-Esteem Scale, for evaluating individual self-esteem; 4) a self-administered multiple-choice questionnaire developed by See et al. about attitudes of discrimination, acceptance, and fear towards HCWs exposed to COVID-19. The findings suggest that stigma has a high impact on workers’ outcomes. Stigma may influence worker compliance and can guide management communication strategies relating to pandemic risk for HCWs. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource self-esteem, fatigue, stigma, Burnout, job demands, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/su12093834 Source A related resource from which the described resource is derived Sustainability Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Environmental sciences, Renewable energy sources, Environmental effects of industries and plants https://www.socictopen.socict.org/files/original/7164989603e124e0e5b609d286198c71.pdf a39cb342f12e6efb8f583acf38160c13 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 Current Response and Management Decisions of the European Union to the COVID-19 Outbreak: A Review Creator An entity primarily responsible for making the resource Mariusz Goniewicz, Frederick M. Burkle, Krzysztof Goniewicz, Amir Khorram-Manesh, KATARZYNA NAYLOR, Attila J. Hertelendy Description An account of the resource COVID-19 has proven to be a formidable challenge for many countries in the European Union to manage effectively. The European Union has implemented numerous strategies to face emerging issues. Member States have adopted measures such as the closure of borders and significant limitations on the mobility of people to mitigate the spread of the virus. An unprecedented crisis coordination effort between Member States has facilitated the ability to purchase equipment, personal protective equipment, and other medical supplies. Attention has also been focused on providing substantive money for research to find a vaccine and promote effective treatment therapies. Financial support has been made available to protect worker salaries and businesses to help facilitate a return to a functional economy. Lessons learned to date from COVID-19 in the European Union are many; the current crisis highlights the need to think about future pandemics from a population-based management approach and apply outside the box critical thinking. Due to the complexity, intensity, and frequency of complex disasters, global leaders in healthcare, government, and business will need to pivot from siloed approaches to decision-making to embrace multidisciplinary and transdisciplinary levels of cooperation. This cooperation requires courage and leadership to recognize that changes are necessary to avoid making the same mistakes we have planned countless times on avoiding. This study focuses on the European Union’s initial response to the COVID-19 pandemic, starting with how the European Union first learned and processed the global information arising out of China, followed by the incremental population-based medicine/management decisions made that currently are defining the European Union’s capacity and capability. The capacity to organize, deliver, and monitor care to a specific clinical population under a population-based management target includes strict social distancing strategies, contact testing and tracing, testing for the virus antigen and its antibodies, isolation, and treatment modalities such as new mitigating medications, and finally, a vaccine. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource crisis, coronavirus, Disaster, Pandemics, COVID-19, European Union preparedness Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/su12093838 Source A related resource from which the described resource is derived Sustainability Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Environmental sciences, Renewable energy sources, Environmental effects of industries and plants https://www.socictopen.socict.org/files/original/df56db4dcba4fc8d055e8b82882482c4.pdf 3cec953b714e1473b1d829c7f34beb8a 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 Rapid and visual detection of porcine deltacoronavirus by recombinase polymerase amplification combined with a lateral flow dipstick Creator An entity primarily responsible for making the resource Xiang Gao, Yong-lu Wang, Xin-sheng Liu, Yong-guang Zhang, Yanming Wei Description An account of the resource Abstract Background Porcine Deltacoronavirus (PDCoV) is a newly emerging Coronavirus that was first identified in 2012 in Hong Kong, China. Since then, PDCoV has subsequently been reported worldwide, causing a high number of neonatal piglet deaths and significant economic losses to the swine industry. Therefore, it is necessary to establish a highly sensitive and specific method for the rapid diagnosis of PDCoV. Results In the present study, a highly sensitive and specific diagnostic method using recombinase polymerase amplification combined with a lateral flow dipstick (LFD-RPA) was developed for rapid and visual detection of PDCoV. The system can be performed under a broad range of temperature conditions from 10 to 37 °C, and the detection of PDCoV can be completed in 10 min at 37 °C. The sensitivity of this assay was 10 times higher than that of conventional PCR with a lower detection limit of 1 × 102 copies/µl of PDCoV. Meanwhile, the LFD-RPA assay specifically amplified PDCoV, while there was no cross-amplification with other swine-associated viruses, including Porcine epidemic diarrhea virus (PEDV), Transmissible gastroenteritis virus (TGEV), Porcine kobuvirus (PKoV), Foot and mouth disease virus (FMDV), Porcine reproductive and respiratory syndrome virus (PRRSV), Porcine circovirus type 2 (PCV2), Classical swine fever virus (CSFV) and Seneca valley virus (SVV). The repeatability of the test results indicated that this assay had good repeatability. In addition, 68 clinical samples (48 fecal swab specimens and 20 intestinal specimens) were further tested by LFD-RPA and RT-PCR assay. The positive rate of LFD-RPA clinical samples was 26.47% higher than that of conventional PCR (23.53%). Conclusions The LFD-RPA assay successfully detected PDCoV in less than 20 min in this study, providing a potentially valuable tool to improve molecular detection for PDCoV and to monitor the outbreak of PDCoV, especially in low-resource areas and laboratories. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource lateral flow dipstick, rapid diagnosis, visual detection, Recombinase polymerase amplification, porcine deltacoronavirus Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12917-020-02341-3 Source A related resource from which the described resource is derived BMC Veterinary Research Publisher An entity responsible for making the resource available BMC 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 https://www.socictopen.socict.org/files/original/efe499e88bfd8d1769a8c456a28e8331.pdf 4e941d7ceed459fb4216ccebdacfc96a 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 CT differential diagnosis of COVID-19 and non-COVID-19 in symptomatic suspects: a practical scoring method Creator An entity primarily responsible for making the resource Lin Luo, Yizhen Jia, Zhendong Luo, Xinping Shen, Jianlong He, Cuiping Zhou, Jianxun Lyu Description An account of the resource Abstract Background Although typical and atypical CT image findings of COVID-19 are reported in current studies, the CT image features of COVID-19 overlap with those of viral pneumonia and other respiratory diseases. Hence, it is difficult to make an exclusive diagnosis. Methods Thirty confirmed cases of COVID-19 and forty-three cases of other aetiology or clinically confirmed non-COVID-19 in a general hospital were included. The clinical data including age, sex, exposure history, laboratory parameters and aetiological diagnosis of all patients were collected. Seven positive signs (posterior part/lower lobe predilection, bilateral involvement, rounded GGO, subpleural bandlike GGO, crazy-paving pattern, peripheral distribution, and GGO +/− consolidation) from significant COVID-19 CT image features and four negative signs (only one lobe involvement, only central distribution, tree-in-bud sign, and bronchial wall thickening) from other non-COVID-19 pneumonia were used. The scoring analysis of CT features was compared between the two groups (COVID-19 and non-COVID-19). Results Older age, symptoms of diarrhoea, exposure history related to Wuhan, and a lower white blood cell and lymphocyte count were significantly suggestive of COVID-19 rather than non-COVID-19 (p  4, a sensitivity of 100% and a specificity of 23.26% for a score > 0, and a sensitivity of 86.67% and a specificity of 67.44% for a score >  2. Conclusions With a simple and practical scoring system based on CT imaging features, we can make a hierarchical diagnosis of COVID-19 and non-COVID-19 with different management suggestions. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Tomography, X-Ray Computed, Pneumonia, Lung diseases, coronavirus infections Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12890-020-1170-6 Source A related resource from which the described resource is derived BMC Pulmonary Medicine Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Diseases of the respiratory system https://www.socictopen.socict.org/files/original/6e4b0ceaefffed7506e815a8c5fe3fe8.pdf 436c02e757d2440b1f896db027a42ab0 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 Reconstructing and forecasting the COVID-19 epidemic in the United States using a 5-parameter logistic growth model Creator An entity primarily responsible for making the resource Xinguang Chen, Ding-Geng Chen, Jenny K. Chen Description An account of the resource Abstract Background Many studies have modeled and predicted the spread of COVID-19 (coronavirus disease 2019) in the U.S. using data that begins with the first reported cases. However, the shortage of testing services to detect infected persons makes this approach subject to error due to its underdetection of early cases in the U.S. Our new approach overcomes this limitation and provides data supporting the public policy decisions intended to combat the spread of COVID-19 epidemic. Methods We used Centers for Disease Control and Prevention data documenting the daily new and cumulative cases of confirmed COVID-19 in the U.S. from January 22 to April 6, 2020, and reconstructed the epidemic using a 5-parameter logistic growth model. We fitted our model to data from a 2-week window (i.e., from March 21 to April 4, approximately one incubation period) during which large-scale testing was being conducted. With parameters obtained from this modeling, we reconstructed and predicted the growth of the epidemic and evaluated the extent and potential effects of underdetection. Results The data fit the model satisfactorily. The estimated daily growth rate was 16.8% overall with 95% CI: [15.95, 17.76%], suggesting a doubling period of 4 days. Based on the modeling result, the tipping point at which new cases will begin to decline will be on April 7th, 2020, with a peak of 32,860 new cases on that day. By the end of the epidemic, at least 792,548 (95% CI: [789,162, 795,934]) will be infected in the U.S. Based on our model, a total of 12,029 cases were not detected between January 22 (when the first case was detected in the U.S.) and April 4. Conclusions Our findings demonstrate the utility of a 5-parameter logistic growth model with reliable data that comes from a specified period during which governmental interventions were appropriately implemented. Beyond informing public health decision-making, our model adds a tool for more faithfully capturing the spread of the COVID-19 epidemic. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Prediction, epidemics, logistic growth model, disease dynamics, COVID-19, population-based model Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s41256-020-00152-5 Source A related resource from which the described resource is derived Global Health Research and Policy Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Public aspects of medicine https://www.socictopen.socict.org/files/original/71d56942ba09e8e68456d453befc86d3.pdf 6b6ef2361de5b8699331f98a8cdaaa31 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 Recovery from COVID-19 Pneumonia in a Patient with Acute Severe Colitis Creator An entity primarily responsible for making the resource Jane Oba, Karoline Soares Garcia, Bruna Damásio Moutinho, Matheus Freitas Cardoso de Azevedo, Natalia Sousa Freitas Queiroz, Luciane Reis Milani, Lucas Navarro Sanches, Luisa Leite Barros, Alexandre de Sousa Carlos, Aderson Omar Mourão Cintra Damião, Aytan Miranda Sipahi Description An account of the resource Introduction: The coronavirus disease 2019 (COVID-19) pandemic has increased concern regarding SARS-CoV-2 infection in inflammatory bowel disease (IBD) patients, especially those on immunosuppressive therapies or with active disease. There are limited reports describing the clinical features of COVID-19 in an IBD population, and the impact of immunosuppression on the severity of the infection remains unclear. Case Report: A 33-year-old female patient with a long history of ulcerative colitis, poorly controlled, was admitted with COVID-19 a few days after being discharged from the hospital for treatment of acute severe ulcerative colitis. High-risk factors for COVID-19 complications, i.e., high-dose steroids (40 mg prednisone) and severe active disease, were present at admission. Despite the development of extensive pulmonary involvement, the patient had a favorable outcome. Discussion: Management of IBD patients during the COVID-19 pandemic has been challenging. Measures to minimize the potential risk of SARS-CoV-2 infection, including strict social distancing and self-isolation, in the IBD population have been recommended, especially for high-risk patients. Although steroid tapering and persistence of biologics are advised by professional groups, the best treatment strategy for IBD patients presenting a flare during the outbreak has yet to be defined. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource inflammatory bowel disease, ulcerative colitis, colitis, coronavirus infections, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.1159/000508161 Source A related resource from which the described resource is derived Inflammatory Intestinal Diseases Publisher An entity responsible for making the resource available Karger Publishers Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Diseases of the digestive system. Gastroenterology