704 10 20655 https://www.socictopen.socict.org/files/original/cf64a40faafa7d978d04dc2d3c6bfb9a.pdf cb81179c70d10da14a0e82922029e099 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 Fall 2020 COVID-19 Needs Assessment among New Jersey Secondary School Educational Professionals Creator An entity primarily responsible for making the resource Derek G. Shendell, Juhi Aggarwal, Maryanne L. F. Campbell, Lauren N. Gonzalez, Elizabeth Kaplun, Koshy Koshy, Thomas I. Mackie Description An account of the resource Secondary or high school (HS) educational professionals expressed concerns about dealing with environmental and occupational health and safety protocols due to COVID-19. Concerns related to fall 2020 school re-opening and getting back into in-person teaching—whether full-time, part-time or some other approved hybrid model—plus ongoing uncertainty with how the state and federal government will be handling matters about mandates for virtual learning, rapid testing, vaccine distribution, etc. These concerns were related to both their experience as educational professionals and genuine interest in personal and student well-being. This study was a cross-sectional online survey in early fall from mid-September–early October 2020. Of a possible maximum participation of 740 New Jersey (NJ) supervisory-level HS teachers and administrators (e.g., department chairs, district and school principals), 100 confirmed unique respondents (13.5%) consented and completed the survey. Of 100 experienced (mean 18 years teaching) participants, 70% responded to the gender identity question (overall, 61% female, 39% male; by NJ region, gender ratios were similar). There were statistically significant differences (using Fischer’s exact test) between NJ regions regarding provision of online counseling and support services for teachers (p < 0.001); for resources and equipment for teachers to mediate online learning (p = 0.02); for assistive video technology tools (p = 0.03) and accessibility to structured online learning and professional development (p = 0.002); concerning learning aids to engage students in online instruction, online counseling, and support services for students and their families (p = 0.006); appropriate protocol is clean and disinfect areas used by a person with COVID-19 (p = 0.002); and, immediately separate staff and students who screen positive for COVID-19 (p = 0.03). There were few statistical differences by gender. This study reported what participants wanted regarding the development of future policies then implemented as reopening practices. Data can inform recommendations in NJ and elsewhere at federal, state, and local levels. Data provide new insights and valuable information to inform the consideration of acceptability of various policy measures among HS education professionals. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource Safety, covid-19, SARS-CoV-2, Personal Protective Equipment (PPE), Schools, biological hazards Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph18084083 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 https://www.socictopen.socict.org/files/original/3cdda73a43ace61676dffb071578af96.pdf 15fdabd5953c705a7fc1dc1a5b5378ef 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 Inequalities in Health Determinants in Spanish Children during the COVID-19 Lockdown Creator An entity primarily responsible for making the resource Andrea Cabezas-Rodríguez, Unai Martín, Yolanda González-Rábago Description An account of the resource The COVID-19 lockdown was imposed in a context of notable inequalities in the distribution of the social determinants of health. It is possible that the housing conditions in which children and their families experienced the confinement, and the adoption of healthy behaviors, may have followed unequal patterns. The aim was to describe social inequalities in housing conditions and in health-related behaviors among children during the lockdown in Spain. This cross-sectional study was based on data from an online survey collecting information on the child population (3–12 years) living in Spain (n = 10,765). The outcome variables used were several housing conditions and health-related behaviors. The socioeconomic variables used were financial difficulties and parents’ educational level. Crude prevalence and prevalence ratios estimated using Poisson models were calculated. During lockdown, children from families with low educational levels and financial difficulties not only tended to live in poor housing conditions, but were also exposed to negative health determinants such as noise and tobacco smoke; they took less physical exercise, had a poorer diet, spent more time in front of screens and had less social contact. A notable social gradient was found in most of the variables analyzed. The results point to the need to incorporate the perspective of equity in the adoption of policies in order to avoid the increase of pre-existing social inequalities in the context of a pandemic. 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, childhood, Confinement, health-related behaviors, social inequalities, Housing Conditions Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph18084087 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 https://www.socictopen.socict.org/files/original/e01f70aba0d6a63758df28159f3dc815.pdf ba2692f3276a8ca6d3f4f48498a33e0a 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 Challenges faced by Teachers and Students towards Quality Assurance of Education amidst Covid-19 Pandemic Creator An entity primarily responsible for making the resource Irwan Irwan, Rustan Santaria Description An account of the resource Pandemic of Covid-19 influnces many things in real life. It also influences academic atmosphere and the culture of teaching and learning at schools. Government regulates “Study from Home” in order to prevent the spread of the virus. This study uses library research method in collecting data from various references. The objective of this study is to find out the challenges faced by the teachers and the learners in reaching the good quality of education amidst pandemic Covid-19. We found that the challenges faced by the teachers and learners are complicated. It cannot be separated from government’s role in assisting the governments’ regulation. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Challenges, covid-19, students, Quality of education, Teacher Identifier An unambiguous reference to the resource within a given context 10.30605/jsgp.3.2.2020.285 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 Theory and practice of education, Education https://www.socictopen.socict.org/files/original/8eb12a45174f8b06bbf03792c004676a.pdf dbfab6b365423aa47116ce09a10ab186 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 Hemodiyaliz Hastalarında COVID-19 Toraks Bilgisayarlı Tomografi Bulgularının Değerlendirilmesi Creator An entity primarily responsible for making the resource Ömer Faruk Ateş, Erbil Arık, Ogün Taydaş, Hamad Dhei̇r, Fatih Güneysu Description An account of the resource Amaç: Koronavirüs hastalığı 2019 (coronavirus disease 2019, COVID-19) toplumun her kesimini etkileyen benzeri görülmemiş bir pandemi sebebidir. Hemodiyaliz hastalarının, COVID-19 enfeksiyonuna ya da şiddetli hastalığa yatkınlık açısından farklı bir hasta grubunu oluşturup oluşturmadıkları bilinmemektedir. Bu çalışmada pandemi döneminde COVID-19 enfeksiyonu tanısı alan hemodiyaliz hastalarında toraks bilgisayarlı tomografi (BT) bulguları değerlendirilmiştir. Gereç ve Yöntemler: Gerçek zamanlı polimeraz zincir reaksiyonu veya toraks BT incelemesi ile COVID-19 tanısı konulan 32 hemodiyaliz hastasının BT bulguları geriye dönük olarak değerlendirildi. Radyolojik bulgular; buzlu cam, konsolidasyon, karışık tip tutulum (buzlu cam ve konsolidasyon), kaldırım taşı görünümü, interlobüler septal kalınlaşma, nodül, halo-ters halo bulgusu, hava bronkogram bulgusu, subplevral kürvilineer opasiteler ve tomurcuklanmış ağaç görünümleri olarak sınıflandırıldı. Bulgular: Çalışmaya toplam 32 hasta dahil edildi. Hastaların 21’i (%65,6) erkek, 11’i (%34,4) kadındı. Yaş ortalaması 67,5±8,5 yıl idi. Tüm hastalarda kronik böbrek yetmezliği mevcuttu. Toraks BT incelemesinde hastaların 14'ünde (%43,8) buzlu cam görünümü, 3'ünde (%9,4) konsolidasyon ve 15'inde (%46,9) karışık tip tutulum (buzlu cam görünümü ve konsolidasyon) görüldü. Eşlik eden BT bulguları 23 (%71,9) hastada plevral effüzyon, 13 (%40,6) hastada subplevral kürvilineer opasiteler, 11 (%34,4) hastada bronşiol duvar kalınlaşması, 7 (%21,9) hastada lenfadenopati, 4 (%12,5) hastada bronşektazi ve 4 (%12,5) hastada plevral kalınlaşma idi. Sonuç: Hemodiyaliz hastaları COVID-19 enfeksiyonuna yakalandıklarında semptom, klinik seyir ve prognostik açıdan olduğu gibi görüntüleme bulguları açısından da diğer COVID-19 hastalarından önemli farklılıklar göstermektedir. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, pneumonia, computed tomography, Hemodialysis, Bilgisayarlı tomografi, hemodiyaliz, pnömoni Identifier An unambiguous reference to the resource within a given context 10.18678/dtfd.778854 Source A related resource from which the described resource is derived Düzce Tıp Fakültesi Dergisi Publisher An entity responsible for making the resource available Duzce University 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, Medicine (General) https://www.socictopen.socict.org/files/original/7b4682eacb2ea170d91c7cc9b8e0246f.pdf 56fca8555047a79d245e10116e2556b5 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 Maxims for a Pandemic: Time, Distance, and Data. Creator An entity primarily responsible for making the resource Jeffrey Koplan, Samuel M Ostroff, Ali H Mokdad 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 10.7326/M20-6934 Source A related resource from which the described resource is derived Annals of internal medicine https://www.socictopen.socict.org/files/original/7fdef9ccfb2c7522cab60fa519647501.pdf f25f2cebc26c8f98810ad2b3eb50a413 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 Admission High-Sensitive Cardiac Troponin T Level Increase Is Independently Associated with Higher Mortality in Critically Ill Patients with COVID-19: A Multicenter Study Creator An entity primarily responsible for making the resource Romaric Larcher, Noemie Besnard, Aziz Akouz, Emmanuelle Rabier, Lauranne Teule, Thomas Vandercamere, Samuel Zozor, Matthieu Amalric, Racim Benomar, Vincent Brunot, Philippe Corne, Olivier Barbot, Anne-Marie Dupuy, Jean-Paul Cristol, Kada Klouche Description An account of the resource Background: In coronavirus disease 2019 (COVID-19) patients, increases in high-sensitive cardiac troponin T (hs-cTnT) have been reported to be associated with worse outcomes. In the critically ill, the prognostic value of hs-cTnT, however, remains to be assessed given that most previous studies have involved a case mix of non- and severely ill COVID-19 patients. Methods: We conducted, from March to May 2020, in three French intensive care units (ICUs), a multicenter retrospective cohort study to assess in-hospital mortality predictability of hs-cTnT levels in COVID-19 patients. Results: 111 laboratory-confirmed COVID-19 patients (68% of male, median age 67 (58–75) years old) were included. At ICU admission, the median Charlson Index, Simplified Acute Physiology Score II, and PaO2/FiO2 were at 3 (2–5), 37 (27–48), and 140 (98–154), respectively, and the median hs-cTnT serum levels were at 16.0 (10.1–31.9) ng/L. Seventy-five patients (68%) were mechanically ventilated, 41 (37%) were treated with norepinephrine, and 17 (15%) underwent renal replacement therapy. In-hospital mortality was 29% (32/111) and was independently associated with lower PaO2/FiO2 and higher hs-cTnT serum levels. Conclusions: At ICU admission, besides PaO2/FiO2, hs-cTnT levels may allow early risk stratification and triage in critically ill COVID-19 patients. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource ICU, covid-19, SARS-CoV-2, Outcomes, myocardial injury, high-sensitive cardiac troponin T Identifier An unambiguous reference to the resource within a given context 10.3390/jcm10081656 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 https://www.socictopen.socict.org/files/original/3420e8b2ecae078cc4699ddad0073db3.pdf 82de00429db1e386e8c00f0708706480 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 Early events during human coronavirus OC43 entry to the cell Creator An entity primarily responsible for making the resource Katarzyna Owczarek, Artur Szczepanski, Aleksandra Milewska, Zbigniew Baster, Zenon Rajfur, Michal Sarna, Krzysztof Pyrc Description An account of the resource Abstract The Coronaviridae family clusters a number of large RNA viruses, which share several structural and functional features. However, members of this family recognize different cellular receptors and exploit different entry routes, what affects their species specificity and virulence. The aim of this study was to determine how human coronavirus OC43 enters the susceptible cell. Using confocal microscopy and molecular biology tools we visualized early events during infection. We found that the virus employs caveolin-1 dependent endocytosis for the entry and the scission of virus-containing vesicles from the cell surface is dynamin-dependent. Furthermore, the vesicle internalization process requires actin cytoskeleton rearrangements. With our research we strove to broaden the understanding of the infection process, which in future may be beneficial for the development of a potential therapeutics. Date A point or period of time associated with an event in the lifecycle of the resource 2018 Identifier An unambiguous reference to the resource within a given context 10.1038/s41598-018-25640-0 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 Science, Medicine https://www.socictopen.socict.org/files/original/45b330a38fa78acc316ae15155f1f2e4.pdf 6e474f523919b56b962828b8f83ac0f5 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 Educação em tempos de pandemia: dificuldades e oportunidades para os professores de ciências e matemática da educação básica na rede pública do Rio Grande do Sul Creator An entity primarily responsible for making the resource Valderez Marina do Rosário Lima, Jeronimo Becker Flores Description An account of the resource Este artigo versa sobre uma situação particular ocorrida no ano de 2020: o ensino remoto emergencial desenvolvido em função da pandemia da COVID-19. Objetivou-se compreender as dificuldades e oportunidades emergentes desse cenário para os professores de Ciências e Matemática, no contexto do Ensino Fundamental, na rede pública estadual do Rio Grande do Sul. Em busca de compreensões para essa temática, realizou-se uma pesquisa do tipo estudo de caso, com abordagem qualitativa, cujo corpus foi analisado por meio de Análise Textual Discursiva (ATD). Resultados apontam como principais dificuldades a falta de fluência digital dos professores e o fato de eles não receberem o devido amparo e apoio. Também se percebe a baixa adesão dos estudantes às propostas. Como oportunidades, observou-se que os docentes adotaram práticas alternativas e efetuaram movimentos de incursões na cultura digital. Futuramente, este trabalho poderá ter continuidade, trazendo, assim, compreensões mais ampliadas em relação a essa conjuntura. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource ensino remoto, Ensino de Ciências e Matemática, Ensino na pandemia Identifier An unambiguous reference to the resource within a given context 10.36661/2595-4520.2021v4i4.12116 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 Special aspects of education, Education (General) https://www.socictopen.socict.org/files/original/f3de648786e1dfc74ddd34153e6d0687.pdf 937861d7e9d7d2ec76657c6da0cf8682 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 Characterizing communities of hashtag usage on twitter during the 2020 COVID-19 pandemic by multi-view clustering Creator An entity primarily responsible for making the resource Iain J. Cruickshank, Kathleen M. Carley Description An account of the resource Abstract The COVID-19 pandemic has produced a flurry of online activity on social media sites. As such, analysis of social media data during the COVID-19 pandemic can produce unique insights into discussion topics and how those topics evolve over the course of the pandemic. In this study, we propose analyzing discussion topics on Twitter by clustering hashtags. In order to obtain high-quality clusters of the Twitter hashtags, we also propose a novel multi-view clustering technique that incorporates multiple different data types that can be used to describe how users interact with hashtags. The results of our multi-view clustering show that there are distinct temporal and topical trends present within COVID-19 twitter discussion. In particular, we find that some topical clusters of hashtags shift over the course of the pandemic, while others are persistent throughout, and that there are distinct temporal trends in hashtag usage. This study is the first to use multi-view clustering to analyze hashtags and the first analysis of the greater trends of discussion occurring online during the COVID-19 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 covid-19, social media, Clustering, multi-view data Identifier An unambiguous reference to the resource within a given context 10.1007/s41109-020-00317-8 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 Applied mathematics. Quantitative methods https://www.socictopen.socict.org/files/original/0c76fbd6728aa2e2115f1cf8c2f66440.pdf 018f4d55d1c9094be50d937be41c4228 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 Ensemble learning model for diagnosing COVID-19 from routine blood tests. Creator An entity primarily responsible for making the resource Maryam AlJame, Ayyub Imtiaz, Ameer Mohammed, Imtiaz Ahmad Description An account of the resource The pandemic of novel coronavirus disease 2019 (COVID-19) has severely impacted human society with a massive death toll worldwide. There is an urgent need for early and reliable screening of COVID-19 patients to provide better and timely patient care and to combat the spread of the disease. In this context, recent studies have reported some key advantages of using routine blood tests for initial screening of COVID-19 patients. In this article, first we present a review of the emerging techniques for COVID-19 diagnosis using routine laboratory and/or clinical data. Then, we propose ERLX which is an ensemble learning model for COVID-19 diagnosis from routine blood tests. The proposed model uses three well-known diverse classifiers, extra trees, random forest and logistic regression, which have different architectures and learning characteristics at the first level, and then combines their predictions by using a second level extreme gradient boosting (XGBoost) classifier to achieve a better performance. For data preparation, the proposed methodology employs a KNNImputer algorithm to handle null values in the dataset, isolation forest (iForest) to remove outlier data, and a synthetic minority oversampling technique (SMOTE) to balance data distribution. For model interpretability, features importance are reported by using the SHapley Additive exPlanations (SHAP) technique. The proposed model was trained and evaluated by using a publicly available data set from Albert Einstein Hospital in Brazil, which consisted of 5644 data samples with 559 confirmed COVID-19 cases. The ensemble model achieved outstanding performance with an overall accuracy of 99.88% [95% CI: 99.6-100], AUC of 99.38% [95% CI: 97.5-100], a sensitivity of 98.72% [95% CI: 94.6-100] and a specificity of 99.99% [95% CI: 99.99-100]. The proposed model revealed better performance when compared against existing state-of-the-art studies (Banerjee et al., 2020; de Freitas Barbosa et al., 2020; de Moraes Batista et al., 2020; Soares et al., 2020) [3,22,56,71] for the same set of features employed by them. As compared to the best performing Bayes Net model (de Freitas Barbosa et al., 2020) [22] average accuracy of 95.159%, ERLX achieved an average accuracy of 99.94%. In comparison with AUC of 85% reported by the SVM model (de Moraes Batista et al., 2020) [56], ERLX obtained AUC of 99.77% in addition to improvements in sensitivity, and specificity. As compared with ER-COV model (Soares et al., 2020) [71] average sensitivity of 70.25% and specificity of 85.98%, ERLX model achieved sensitivity of 99.47% and specificity of 99.99%. The ERLX model obtained a considerably higher score as compared with ANN model (Banerjee et al., 2020) [3] in all performance metrics. Therefore, the model presented is robust and can be deployed for reliable early and rapid screening of COVID-19 patients. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, machine learning, diagnostic model, ensemble, Routine blood tests Identifier An unambiguous reference to the resource within a given context 10.1016/j.imu.2020.100449 Source A related resource from which the described resource is derived Informatics in medicine unlocked