1665 10 20655 https://www.socictopen.socict.org/files/original/b7edf0d65daea8df4331714b04bd12ed.pdf 0618358591c064264cf13e79d2db2436 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 Medical publishing during the COVID-19 pandemic: then and now. Creator An entity primarily responsible for making the resource Richard C Becker, Christoph Bode 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 10.1007/s11239-021-02422-6 Source A related resource from which the described resource is derived Journal of thrombosis and thrombolysis https://www.socictopen.socict.org/files/original/0868cf7341d58d8859c0f755461034fe.pdf 3ad62eba8d53f317183b6b379fc89c60 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 Impact of the COVID-19 Pandemic on Barrett's Esophagus and Esophagogastric Cancer. Creator An entity primarily responsible for making the resource Richard C Turkington, Anita Lavery, David Donnelly, Victoria Cairnduff, Damian T McManus, Helen G Coleman Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource gastric cancer, endoscopy, Esophageal cancer, Barrett's Esophagus, Diagnostic and Therapeutic Identifier An unambiguous reference to the resource within a given context 10.1053/j.gastro.2021.01.208 Source A related resource from which the described resource is derived Gastroenterology https://www.socictopen.socict.org/files/original/bbd18bef192046c33d00e627bd90ccc2.pdf 195739a99719ed04f48436254a5304a5 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 Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible 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 Sobre Michael M. Swann, Tierra adentro: Settlement and society in colonial Durango Creator An entity primarily responsible for making the resource Richard E. Boyer Description An account of the resource - Date A point or period of time associated with an event in the lifecycle of the resource 1983 Subject The topic of the resource Demografia, Durango, Swann, colonia, ecología, historia social Source A related resource from which the described resource is derived Historia Mexicana El Colegio de México Publisher An entity responsible for making the resource available El Colegio de México, A.C. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Latin America. Spanish America, History America Relation A related resource <a href="https://historiamexicana.colmex.mx/index.php/RHM/article/view/2646" target="_blank" rel="noreferrer noopener">https://historiamexicana.colmex.mx/index.php/RHM/article/view/2646</a> https://www.socictopen.socict.org/files/original/6b0a89dc9da042014d00b01424e4ca1a.pdf fc67b9121bed2f8d2cf6b1a2f4e8755a 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 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach Creator An entity primarily responsible for making the resource Richard Gloaguen, Gergo Pinter, Imre Felde, Amir Mosavi, Pedram Ghamisi Description An account of the resource Several epidemiological models are being used around the world to project the number of infected individuals and the mortality rates of the COVID-19 outbreak. Advancing accurate prediction models is of utmost importance to take proper actions. Due to the lack of essential data and uncertainty, the epidemiological models have been challenged regarding the delivery of higher accuracy for long-term prediction. As an alternative to the susceptible-infected-resistant (SIR)-based models, this study proposes a hybrid machine learning approach to predict the COVID-19, and we exemplify its potential using data from Hungary. The hybrid machine learning methods of adaptive network-based fuzzy inference system (ANFIS) and multi-layered perceptron-imperialist competitive algorithm (MLP-ICA) are proposed to predict time series of infected individuals and mortality rate. The models predict that by late May, the outbreak and the total morality will drop substantially. The validation is performed for 9 days with promising results, which confirms the model accuracy. It is expected that the model maintains its accuracy as long as no significant interruption occurs. This paper provides an initial benchmarking to demonstrate the potential of machine learning for future 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 covid-19, machine learning, prediction model Identifier An unambiguous reference to the resource within a given context 10.3390/math8060890 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 Mathematics https://www.socictopen.socict.org/files/original/284263899f1805691001dc934c6f21ab.pdf 7bfe78196aedecd74d87d9a8c125e380 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 Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible 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 Desarrollos recientes en teoría organizacional : una revisión Creator An entity primarily responsible for making the resource Richard H. Hall Description An account of the resource Este artículo revisa y evalúa cinco importantes perspectivas teóricas sobre las organizaciones. Tales perspectivas o modelos son los siguientes: ecología de poblaciones, dependencia de recursos, costos de las transacciones, racional e institucional. Se presentan las ventajas aportadas por cada modelo así como también las limitaciones de cada uno. La conclusión del análisis es que los modelos teóricos no deben ser concebidos como suficientes tomados por separado. Más bien los modelos son utilizados más apropiadamente cuando se les usa combinadamente Date A point or period of time associated with an event in the lifecycle of the resource 1990 Subject The topic of the resource Cambio Organizacional, Investigación organizacional Identifier An unambiguous reference to the resource within a given context 10.22206/cys.1990.v15i4.pp376-411 Source A related resource from which the described resource is derived Ciencia y Sociedad Publisher An entity responsible for making the resource available Instituto Tecnológico de Santo Domingo Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Social sciences (General), Communication. Mass media Relation A related resource <a href="https://revistas.intec.edu.do/index.php/ciso/article/view/374" target="_blank" rel="noreferrer noopener">https://revistas.intec.edu.do/index.php/ciso/article/view/374</a> https://www.socictopen.socict.org/files/original/7a0b76c0107c58a6805ea3db78ddc798.pdf f3f7dc4f28cee87ec62fb54a3addf29a 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 Impact of the COVID-19 pandemic: The perceptions of health professions educators Creator An entity primarily responsible for making the resource Richard Hays, Barbara Jennings, Trevor Gibbs, Julie Hunt, Kerrie McKay Description An account of the resource What are health professions educators doing during the COVID-19 pandemic? A search of articles in MedEdPublish on the topics of COVID-19 revealed 39 articles published in the first 3 months of the pandemic. Topics included curriculum adaptation, guidelines for using technology, assessment adaptation, impact on students, faculty and career development, and conference adaptation. There was significant overlap among articles, particularly those discussing teaching, learning, and assessment practices. Common themes were adaptation, innovation, remote delivery, flexibility in the face of a pandemic, and how to continue to educate and graduate competent health professionals. All articles were descriptive, and none included data describing efficacy, likely due to the short timeline since the pandemic's inception. Additional study is necessary to produce evidence for the teaching and assessment adaptations described. Some changes are likely to persist longer-term and may outlast the pandemic itself. 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, Pandemic, innovation, Medical education, Learning Technology Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine, Special aspects of education https://www.socictopen.socict.org/files/original/0a310a9cd579dcbb57d9adda66ae02a3.pdf 9bb0d8973e07b49cc17352ab73b9f82b 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 in ocrelizumab-treated people with multiple sclerosis. Creator An entity primarily responsible for making the resource Richard Hughes, Louise Whitley, Kocho Fitovski, Hans-Martin Schneble, Erwan Muros, Annette Sauter, Licinio Craveiro, Paul Dillon, Ulrike Bonati, Nikki Jessop, Rosetta Pedotti, Harold Koendgen Description An account of the resource There are limited data on the impact of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on people with multiple sclerosis (MS). To better understand SARS-CoV-2 infection in ocrelizumab-treated people with MS. Internal Roche/Genentech data sources: Cases of COVID-19 from ongoing Roche/Genentech clinical trials and from post-marketing use of ocrelizumab until July 31, 2020 were identified and assessed using descriptive statistics. External real-world data (RWD) source: An MS COVID-19 cohort and an ocrelizumab-treated MS COVID-19 cohort were identified and assessed from the OPTUMⓇ de-identified COVID-19 electronic health record (EHR) database. Roche/Genentech clinical trial data: There were 51 (1.3%) suspected or confirmed cases of COVID-19 identified from 4,000 patients ongoing in 10 Roche/Genentech clinical trials. Of these, 26 (51%) were confirmed COVID-19 and 25 (49%) were suspected COVID-19. Sixteen (31.4%) patients were hospitalized. COVID-19 severity was mild to moderate in most patients (35, 68.6%). Ten (19.6%) patients had severe disease and there were three (5.9%) fatal cases. Most patients (43, 84.3%) recovered or were recovering. There was no association apparent between duration of exposure to ocrelizumab and COVID-19. Among COVID-19 patients with previous serum immunoglobulin status (27/51, 52.9%), all (27/27, 100%) had IgG levels within the normal range. Roche/Genentech post-marketing safety database data: There were 307 post-marketing cases of COVID-19 in the Roche/Genentech global safety database. Of these, 263 (85.7%) were confirmed and 44 (14.3%) were suspected COVID-19. 100 (32.6%) patients were hospitalized. COVID-19 was asymptomatic, mild or moderate in 143 (46.6%) patients, severe in 52 (16.9%) patients, and critical in 15 (4.9%) patients. There were 17 (5.5%) fatal cases. Information on severity was not reported in 80 (26.1%) cases. Most patients (211, 68.7%) recovered or were recovering at the time of the report. External RWD data source: As of July 13, 2020, the OPTUMⓇ database included EHRs for almost 1.2 million patients with suspected COVID-19, 130,500 of whom met the criteria for confirmed/clinically diagnosed COVID-19. A total of 357 patients with MS with confirmed COVID-19 were identified. Forty-eight (13.4%) were treated with ocrelizumab, of whom 12 (25.0%) were hospitalized and one died (2.1%). Similar rates of hospitalization, invasive ventilation, and death were observed in the ocrelizumab-treated and non-ocrelizumab-treated MS cohorts. Across the Roche/Genentech and RWD sources assessed, age, male sex, and the presence of comorbidities such as hypertension were associated with a more severe disease course of COVID-19. There was a higher number of comorbidities present in hospitalized versus non-hospitalized patients. This assessment provides evidence that COVID-19 in ocrelizumab-treated people with MS is predominantly mild to moderate in severity with most patients not requiring hospitalization; in line with data reported from the general population and MS datasets. Risk factors known to be associated with severe COVID-19 outcomes in the general population also appear to influence COVID-19 severity in ocrelizumab-treated people with MS. Case fatality rates for ocrelizumab-treated people with MS were within published ranges for the general population and other MS cohorts. 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, multiple sclerosis, disease-modifying therapy, anti-CD20, ocrelizumab Identifier An unambiguous reference to the resource within a given context 10.1016/j.msard.2020.102725 Source A related resource from which the described resource is derived Multiple sclerosis and related disorders https://www.socictopen.socict.org/files/original/de60409343659a88229f55045cbddc88.pdf c700b20591c58b2b33ed67ab8fa8f7c4 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: where is the national ethical guidance? Creator An entity primarily responsible for making the resource Richard Huxtable 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, COVID-19, Professional guidance, ethical guidance Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12910-020-00478-2 Source A related resource from which the described resource is derived BMC Medical Ethics 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 Medical philosophy. Medical ethics https://www.socictopen.socict.org/files/original/717d7d02017d7c31e68962e5a22d6e05.pdf 5e30e26c3757fc36ec27d353c7645840 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource New Alphacoronavirus in Mystacina tuberculata Bats, New Zealand Creator An entity primarily responsible for making the resource Richard J. Hall, Jing Wang, Matthew Peacey, Nicole E. Moore, Kate McInnes, Daniel M. Tompkins Description An account of the resource Because of recent interest in bats as reservoirs of emerging diseases, we investigated the presence of viruses in Mystacina tuberculata bats in New Zealand. A novel alphacoronavirus sequence was detected in guano from roosts of M. tuberculata bats in pristine indigenous forest on a remote offshore island (Codfish Island). Date A point or period of time associated with an event in the lifecycle of the resource 2014 Subject The topic of the resource alphacoronavirus, coronavirus, Viruses, guano, metagenomics, bats Identifier An unambiguous reference to the resource within a given context DOI: 10.3201/eid2004.131441 Source A related resource from which the described resource is derived Emerging Infectious Diseases Publisher An entity responsible for making the resource available Centers for Disease Control and Prevention 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, Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/01a723952fbf8a1c316f93c0b3989870.pdf 3884d3fb73d5d2b61e7817e177fa1222 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 Epidemiological modeling in StochSS Live! Creator An entity primarily responsible for making the resource Richard Jiang, Bruno Jacob, Matthew Geiger, Sean Matthew, Bryan Rumsey, Prashant Singh, Fredrik Wrede, Tau-Mu Yi, Brian Drawert, Andreas Hellander, Linda Petzold Description An account of the resource We present StochSS Live!, a web-based service for modeling, simulation, and analysis of a wide range of mathematical, biological and biochemical systems. Using an epidemiological model of COVID-19, we demonstrate the power of StochSS Live! to enable researchers to quickly develop a deterministic or a discrete stochastic model, infer its parameters, and analyze the results. StochSS Live! is freely available at https://live.stochss.org/. Available at https://github.com/StochSS/Covid19_Modeling. 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 10.1093/bioinformatics/btab061 Source A related resource from which the described resource is derived Bioinformatics (Oxford, England)