321 10 20655 https://www.socictopen.socict.org/files/original/5f81d2c15111f28c8d1ee3b5a3fb61b3.pdf d58bdc9dc0fe493cfc49430eb99f3c37 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 Classification of Covid-19 Coronavirus, Pneumonia and Healthy Lungs in CT Scans Using Q-Deformed Entropy and Deep Learning Features Creator An entity primarily responsible for making the resource Rabha W. Ibrahim, Hamid A. Jalab, Ali M. Hasan, Hadil Shaiba, Mohammed M. AL-Jawad, Ala’a R. AL-Shamasneh Description An account of the resource Many health systems over the world have collapsed due to limited capacity and a dramatic increase of suspected COVID-19 cases. What has emerged is the need for finding an efficient, quick and accurate method to mitigate the overloading of radiologists’ efforts to diagnose the suspected cases. This study presents the combination of deep learning of extracted features with the Q-deformed entropy handcrafted features for discriminating between COVID-19 coronavirus, pneumonia and healthy computed tomography (CT) lung scans. In this study, pre-processing is used to reduce the effect of intensity variations between CT slices. Then histogram thresholding is used to isolate the background of the CT lung scan. Each CT lung scan undergoes a feature extraction which involves deep learning and a Q-deformed entropy algorithm. The obtained features are classified using a long short-term memory (LSTM) neural network classifier. Subsequently, combining all extracted features significantly improves the performance of the LSTM network to precisely discriminate between COVID-19, pneumonia and healthy cases. The maximum achieved accuracy for classifying the collected dataset comprising 321 patients is 99.68%. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource deep learning, fractional calculus, Features Extraction, LSTM network, CT scans of lungs, Q—deformed entropy Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/e22050517 Source A related resource from which the described resource is derived Entropy 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 Science, Astrophysics, Physics https://www.socictopen.socict.org/files/original/f6a48b01500cf4d2228bd4c8c8cfb39c.pdf 94aee3dbde971dccd3c6264ccb6a5bc6 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 Teleworking in the Context of the Covid-19 Crisis Creator An entity primarily responsible for making the resource ÁNGEL BELZUNEGUI ERASO, Amaya Erro-Garcés Description An account of the resource This article aims to analyze the implementation of teleworking as a security practice to face the crisis resulting from the Covid-19 disease. The present paper provides both theoretical and practical results. From a theoretical standpoint, the Baruch and Nicholson approach is extended with environmental, safety, and legal factors that explain telework. From a practical perspective, a database of companies that have introduced telework as a measure to face coronavirus in a crisis context has been obtained. In short, the Covid-19 crisis demonstrates how teleworking has been used by companies to ensure their employees’ safety and to provide continuity to economic activity. Consequently, safety factors are relevant in the study of teleworking and should be considered in further research. 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, sustainability, security, Telework, Safety factors, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/su12093662 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/1243689c76b3f9e679f287bcfb3290cf.pdf 50fa4f079c02b4af17bdb6cf48f28b16 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 Why COVID-19? Creator An entity primarily responsible for making the resource Elnaz Vahidi, Mohammad Jalili Description An account of the resource COVID-19 is a highly contagious disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), an enveloped positive stranded RNA virus and the third member of the family Coronaviridae which has emerged as a zoonotic infection. The predecessor of this new pathogen caused the Severe Acute Respiratory Syndrome (SARS) in 2003 and the Middle East Respiratory Syndrome (MERS) in 2012. Although corona viruses have been known since 1960’s, their familiar species were human pathogens and caused common cold and seasonal flu. SARS-CoV-2 is easily transmitted via respiratory secretions of an infected person, with a reproductive number (the average number of cases to which a single infected person will transmit the virus) of 1.4-2.5. Covid-19 has been estimated to have a case fatality rate of around 3%. As of today, asymptomatic transmission is assumed to be possible during the incubation period, which usually ranges from 2-14 days. The source of infection, animal host, and reservoir are currently unknown. In late December 2019, an outbreak of COVID-19 was reported from Wuhan city, China. The disease soon spread outside China borders and became rapidly prevalent all around the world. The pandemic announcement was officially made by World Health Organization (WHO) on 11 March 2020. Today COVID-19 has affected more than 212 countries and has made billions of people to be quarantined in their houses. Up to now, almost 1500000 confirmed cases of COVID-19 have been reported globally and the death toll has been declared to be 86000. In Iran, we are also facing this unprecedented global public health emergency, with about 65000 confirmed cases and 3993 deaths. This pandemic is beyond an expanding contagious disease and has influenced different features of life. Its enormous social, political, and specifically economic impacts all around the world are undeniable. In low- and middle-income countries this can potentially lead to a huge spike in poverty and collapse. Many vulnerable families have lost their income and access to the essential needs. Education systems have collapsed in many regions. The long-term effect of this global crisis has reduced economic growth even in developed countries. Economic effects of COVID-19 are estimated with dramatic variations. Orlik et al in Bloomberg hypothesized this cost to be $2.7 trillion. The political consequences are even harder to predict but quite significant and devastating, like the heated discussion, criticism and accusation flowing between the leaders of different countries. Since the pandemic is not yet over, the global influence will carry on to happen and make situation even more complicated. While the outbreak is evolving rapidly, health care systems across the world are actively fighting against the new virus. They have encountered many new challenges. Public health measures (such as active case finding, prompt isolation of cases and contacts tracing) to contain the spread of the disease in the society as well as provision of care for the unpredictably high number of people who are infected with the virus have stretched the healthcare system beyond its capacity. At the same time, protecting health care providers’ safety, which often requires provision of sufficient supplies of personal protective equipment, has definitely challenged the system. Societal demand for discovery of a definitive treatment and vaccine has also added to the complexity of the situation that the health care systems are facing. Studies about COVID-19 are increasingly being performed and published; many of them have not yet been fully reviewed and criticized by the academic community. Practitioners often find it difficult to find, appraise and apply the information they need amid the turbulence of their clinical practice. Furthermore, there are still many questions to be answered. The most efficient method for personal protection, methods of viral transmission, most accurate diagnostic approaches, and effective treatment options are yet to be determined. This special issue of the Advanced Journal of Emergency Medicine plans to specifically focus on COVID-19 by gathering the relevant scientific information available. We hope that by publishing high quality papers, this journal can provide its readers with further required information. Appropriate management of patients suffering COVID-19 as well as controlling this pandemic are our ultimate aspirations. We encourage further researches in this field by all scientists and physicians all across the world to be able to eradicate COVID-19 as soon as possible. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context DOI: 10.22114/ajem.v0i0.402 Source A related resource from which the described resource is derived Advanced Journal of Emergency Medicine Publisher An entity responsible for making the resource available Tehran University of Medical Sciences 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/c71419e2fc38eee39ca89615862b8daf.pdf bd527ad02dcae96e904743da94f048ee 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 Can mathematical modelling solve the current Covid-19 crisis? Creator An entity primarily responsible for making the resource Jasmina Panovska-Griffiths Description An account of the resource Abstract Since COVID-19 transmission started in late January, mathematical modelling has been at the forefront of shaping the decisions around different non-pharmaceutical interventions to confine its’ spread in the UK and worldwide. This Editorial discusses the importance of modelling in understanding Covid-19 spread, highlights different modelling approaches and suggests that while modelling is important, no one model can give all the answers. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12889-020-08671-z Source A related resource from which the described resource is derived BMC Public Health 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/66de6ddd38ba44ba499633d5d082766f.pdf c61151ea05ed020a297a48b26b76863e 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 Therapeutic strategies for critically ill patients with COVID-19 Creator An entity primarily responsible for making the resource Lei Li, Xianghong Yang, Ranran Li, Jiao Liu, Mingyan Zhao, Dechang Chen, Zhixiong Wu Description An account of the resource Abstract Since the 2019 novel coronavirus disease (COVID-19) outbreak originated from Wuhan, Hubei Province, China, at the end of 2019, it has become a clinical threat to the general population worldwide. Among people infected with the novel coronavirus (2019-nCoV), the intensive management of the critically ill patients in intensive care unit (ICU) needs substantial medical resource. In the present article, we have summarized the promising drugs, adjunctive agents, respiratory supportive strategies, as well as circulation management, multiple organ function monitoring and appropriate nutritional strategies for the treatment of COVID-19 in the ICU based on the previous experience of treating other viral infections and influenza. These treatments are referable before the vaccine and specific drugs are available for 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 coronavirus, Antiviral therapy, Respiratory Support, 2019ncov, Adjunctive intervention Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s13613-020-00661-z Source A related resource from which the described resource is derived Annals of Intensive Care Publisher An entity responsible for making the resource available SpringerOpen 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 https://www.socictopen.socict.org/files/original/62568a7e8d5837781c2363b91b676adf.pdf 4bd122267004db24b6b33fb61ec5d1a1 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 The Multidimensional Prognostic Index (MPI) for the prognostic stratification of hospitalized older patients with COVID-19: a prospective multicenter observational cohort study. Objectives, study design and expected outcomes (MPI_COVID-19) Creator An entity primarily responsible for making the resource Alberto Pilotto, Nicola Veronese, Carlo Sabbà, Francesco Mattace Raso, Alberto Cella, Maria Cristina Polidori, Carlo Custodero, Margherita Azzini, Filippo Fimognari Description An account of the resource The emergent coronavirus-19 disease (COVID-19) pandemic posed and still poses serious issues in the management of the inpatients and in the resource allocation, in particular for those patients requiring Intensive Care Unit (ICU) management. Epidemiological data clearly suggest that multimorbid older patients have the poorest prognosis. However, it is conceivable that age and number of comorbidities alone do not reflect the real condition and the expected prognosis of the patients affected by COVID-19. A different approach based on comprehensive geriatric assessment (CGA) could help to better identify older patients more at risk of dismal outcomes and who, at some point of their clinical course, will need the ICU admission. The Multidimensional Prognostic Index (MPI) is a well-accepted tool derived from a standard CGA which allows to measure prognosis of older patients in different clinical settings including hospital. Therefore, we designed a multicenter, prospective, observational study to evaluate the role of MPI in predicting risk of ICU admission and in-hospital mortality among 500 COVID-19-positive older subjects admitted to geriatric and internal medicine wards. In addition, risk of re-hospitalization, institutionalization and death after 3 months from discharge will be assessed. The MPI yields a straightforward value from 0 to 1 and might be able to adequately stratify complex, vulnerable COVID-19 patients for best possible decision-making and treatment allocation. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Prognosis, older adults, mpi, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.4081/gc.2020.9038 Source A related resource from which the described resource is derived Geriatric Care Publisher An entity responsible for making the resource available PAGEPress Publications Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Geriatrics https://www.socictopen.socict.org/files/original/90a701178da2ee17ce2b717064d38746.pdf 4bd122267004db24b6b33fb61ec5d1a1 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 The role of hydroxychloroquine sulfate in the geriatric patient with coronavirus disease 2019 (COVID-19). What is useful to know for the geriatrician? Creator An entity primarily responsible for making the resource Ciro Manzo Description An account of the resource The role of hydroxychroloquine (HCQ) sulfate as therapeutic option in coronavirus disease 2019 (COVID-19) patients aroused great interest and hope, so much so as to authorize several studies in the world. Despite the beneficial effects demonstrated in vitro and in some case-series, doubts remain about its clinical use, so that at present more than 20 different therapeutic study protocols have been proposed. Very recently, a protocol has been authorized by the Italian Medicines Agency (AIFA), in order to evaluate the efficacy of out-of-hospital treatment with HCQ in the reducing viral loads and need for hospitalization in symptomatic COVID-19 infected patients who are confined at home. The article describes lights and shadows of HCQ therapy in the elderly and geriatric patients affected by COVID-19, and suggests that the geriatrician should use HCQ only after careful patient selection and be aware of its pharmacokinetic properties and adverse effects, before better-designed studies determine their benefit, if any, in treating 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 geriatric patient, Hydroxychloroquine sulfate, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.4081/gc.2020.9015 Source A related resource from which the described resource is derived Geriatric Care Publisher An entity responsible for making the resource available PAGEPress Publications Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Geriatrics https://www.socictopen.socict.org/files/original/da1dad73a5872364d9d60049beedd514.pdf eb9fb57017a4f5fb40d1c88d6a24c681 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 Comorbid Chronic Diseases and Acute Organ Injuries Are Strongly Correlated with Disease Severity and Mortality among COVID-19 Patients: A Systemic Review and Meta-Analysis Creator An entity primarily responsible for making the resource Xin-Hui Wang, Xiaotian Wu, Fudi Wang, Xiao-Tong Gao, Junxia Min, Xuexian Fang, Zhaoxian Cai Description An account of the resource The recent outbreak of COVID-19 has been rapidly spreading on a global scale. To date, there is no specific vaccine against the causative virus, SARS-CoV-2, nor is there an effective medicine for treating COVID-19, thus raising concerns with respect to the effect of risk factors such as clinical course and pathophysiological parameters on disease severity and outcome in patients with COVID-19. By extracting and analyzing all available published clinical data, we identified several major clinical characteristics associated with increased disease severity and mortality among patients with COVID-19. Specifically, preexisting chronic conditions such as hypertension, cardiovascular disease, chronic kidney disease, and diabetes are strongly associated with an increased risk of developing severe COVID-19; surprisingly, however, we found no correlation between chronic liver disease and increased disease severity. In addition, we found that both acute cardiac injury and acute kidney injury are highly correlated with an increased risk of COVID-19-related mortality. Given the high risk of comorbidity and the high mortality rate associated with tissue damage, organ function should be monitored closely in patients diagnosed with COVID-19, and this approach should be included when establishing new guidelines for managing these high-risk patients. Moreover, additional clinical data are needed in order to determine whether a supportive therapy can help mitigate the development of severe, potentially fatal complications, and further studies are needed to identify the pathophysiology and the mechanism underlying this novel coronavirus-associated infectious disease. Taken together, these findings provide new insights regarding clinical strategies for improving the management and outcome of patients with COVID-19. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context DOI: 10.34133/2020/2402961 Source A related resource from which the described resource is derived Research Publisher An entity responsible for making the resource available American Association for the Advancement of Science Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science https://www.socictopen.socict.org/files/original/7ab2b66f337e8f6696a335c3b8bc487e.pdf 7ae43d2c7e79a37c4a3face75e148cf7 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 Expression of the SARS-CoV-2 cell receptor gene ACE2 in a wide variety of human tissues Creator An entity primarily responsible for making the resource Lin Li, Yue Zhang, Mengyuan Li, Xiaosheng Wang Description An account of the resource Abstract Background Since its discovery in December 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected more than 2 180 000 people worldwide and has caused more than 150 000 deaths as of April 16, 2020. SARS-CoV-2, which is the virus causing coronavirus disease 2019 (COVID-19), uses the angiotensin-converting enzyme 2 (ACE2) as a cell receptor to invade human cells. Thus, ACE2 is the key to understanding the mechanism of SARS-CoV-2 infection. This study is to investigate the ACE2 expression in various human tissues in order to provide insights into the mechanism of SARS-CoV-2 infection. Methods We compared ACE2 expression levels across 31 normal human tissues between males and females and between younger (ages ≤ 49 years) and older (ages > 49 years) persons using two-sided Student’s t test. We also investigated the correlations between ACE2 expression and immune signatures in various tissues using Pearson’s correlation test. Results ACE2 expression levels were the highest in the small intestine, testis, kidneys, heart, thyroid, and adipose tissue, and were the lowest in the blood, spleen, bone marrow, brain, blood vessels, and muscle. ACE2 showed medium expression levels in the lungs, colon, liver, bladder, and adrenal gland. ACE2 was not differentially expressed between males and females or between younger and older persons in any tissue. In the skin, digestive system, brain, and blood vessels, ACE2 expression levels were positively associated with immune signatures in both males and females. In the thyroid and lungs, ACE2 expression levels were positively and negatively associated with immune signatures in males and females, respectively, and in the lungs they had a positive and a negative correlation in the older and younger groups, respectively. Conclusions Our data indicate that SARS-CoV-2 may infect other tissues aside from the lungs and infect persons with different sexes, ages, and races equally. The different host immune responses to SARS-CoV-2 infection may partially explain why males and females, young and old persons infected with this virus have markedly distinct disease severity. This study provides new insights into the role of ACE2 in the SARS-CoV-2 pandemic. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource gene expression, Angiotensin converting enzyme-2, SARS-CoV-2, COVID-19, SARS-CoV-2 cell receptor, SARS-CoV-2 pandemic Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s40249-020-00662-x Source A related resource from which the described resource is derived Infectious Diseases of Poverty 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, Infectious and parasitic diseases https://www.socictopen.socict.org/files/original/edc93a1062d7e831a7ae7bd7dc692f7a.pdf ccd746a51208df077d1904e09939fd17 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 COVID-19: Possible Impact of the Genetic Background in IFNL Genes on Disease Outcomes Creator An entity primarily responsible for making the resource Sabine Mihm Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context DOI: 10.1159/000508076 Source A related resource from which the described resource is derived Journal of Innate Immunity 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 Internal medicine, Medicine