139 10 20655 https://www.socictopen.socict.org/files/original/7fd7fa75f9c8b64cbf42bd898e916481.pdf 83f548eeb7c216c9ef28d73a15035a70 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 Reflexiones desde la trinchera; la radiología antes y después del Covid-19 Creator An entity primarily responsible for making the resource Ángeles Franco-López Description An account of the resource - 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, coronavirus, pandemia, radiologia Identifier An unambiguous reference to the resource within a given context DOI: 10.19230/jonnpr.3659 Source A related resource from which the described resource is derived Jounal of Negative and No Positive Results Publisher An entity responsible for making the resource available Asociación Para el Progreso de la Biomedicina 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 Language A language of the resource EN, ES https://www.socictopen.socict.org/files/original/eb3e50c49f0c611a2cc49fec1f4a8c12.pdf 350558d78186cde74f0b47450c362d20 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 infection epidemic: the medical management strategies in Heilongjiang Province, China Creator An entity primarily responsible for making the resource Hongliang Wang, Sicong Wang, Kai-jiang Yu 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/s13054-020-2832-8 Source A related resource from which the described resource is derived Critical Care 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 emergencies. Critical care. Intensive care. First aid Language A language of the resource EN https://www.socictopen.socict.org/files/original/15c13dd8da683144a450f7d2fa5540ec.pdf 478be619428405077ae0963579b8665e 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 Efficacy of decamethoxin against complex viruses regardless of their antigenic structure: prospects for use in modern viral diseases of the respiratory tract Creator An entity primarily responsible for making the resource M. I. Gumeniuk, G. L. Gumeniuk, S. G. Opimakh Description An account of the resource At the end of the 2019 and the beginning of 2020, an outbreak of viral pneumonia caused by the new coronavirus Coronavirus disease 2019 (Covid-19) began. From the history of outbreaks of severe acute respiratory syndrome in 2002–2003 and the Middle East respiratory syndrome in 2012, it is known that an effective and safe etiotropic treatment of coronavirus infection does not exist. Therefore, the actual challenge today is the fight against coronavirus infection. Potentially effective antiviral agents are antiseptics from the group of surfactants. In particular, decamethoxin, which has a pronounced bactericidal, fungicidal and antiprotistal effect, also has experimentally proven antiviral activity. In vitro, it was shown that decamethoxin exhibits a statistically significant virucidal effect influencing the extracellular virus with possible damage to the viral protease. In experiments on the tissue cultures and experimental animals, the ability of decamethoxin to inhibit the replication of influenza A and B viruses, herpes simplex virus by affecting the stage of virus penetration into the cell and viral nucleic acid replication has been proved. Another mechanism of decamethoxin action can be considered its effect on the early stages of the interaction of the virus with the host cell such as adsorption, penetration and deproteinization of the virus. The use of decamethoxin for the treatment of respiratory tract infections is pathogenetically justified due to the dosage form of a sterile solution for inhalation using a nebulizer — Decasan® single-dose containers. Decamethoxin is successfully used in the treatment of patients with infectious exacerbations of bronchial asthma and chronic bronchitis without negative impact on bronchial obstruction. The proven efficacy of decamethoxin as an effective agent against complex viruses regardless of their antigenic structure gives grounds for its practical use in respiratory tract infections, including coronavirus infection. 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 infection, Antiviral properties, decamethoxin, nebulizer therapy Identifier An unambiguous reference to the resource within a given context DOI: 10.22141/2312-413x.8.1.2020.196168 Source A related resource from which the described resource is derived Aktualʹnaâ Infektologiâ Publisher An entity responsible for making the resource available Publishing House Zaslavsky 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 Language A language of the resource EN, RU, UK https://www.socictopen.socict.org/files/original/48ba0ce67b8ef7696747335214592e6b.pdf 3c043bc1a49baf19afc3caca10e9f9a0 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 Canine infectious respiratory disease: New insights into the etiology and epidemiology of associated pathogens. Creator An entity primarily responsible for making the resource Grazieli Maboni, Mauricio Seguel, Ana Lorton, Roy Berghaus, Susan Sanchez Description An account of the resource Canine infectious respiratory disease (CIRD) is a syndrome where multiple viral and bacterial pathogens are involved sequentially or synergistically to cause illness. There is limited information regarding the prevalence of pathogens related to CIRD in the United States as well as the role of co-infections in the pathogenesis of the syndrome. We aimed to conduct a comprehensive etiologic and epidemiologic study of multiple CIRD agents in a diverse dog population using molecular methods and statistical modeling analyses. In addition, a novel probe-based multiplex real-time PCR was developed to simultaneously detect and differentiate two species of Mycoplasma (M. canis and M. cynos). Canine adenovirus, canine distemper virus, canine parainfluenza virus, coronavirus, influenza A virus (H3N2 and H3N8), Bordetella bronchiseptica, M. canis, M. cynos and Streptococcus equi subsp. zooepidemicus were investigated in specimens from clinically ill and asymptomatic dogs received at the Athens Veterinary Diagnostic Laboratory. Results showed low occurrence of classical CIRD agents such as B. bronchiseptica, canine adenovirus and distemper virus, while highlighting the potential role of emerging bacteria such as M. canis and M. cynos. Statistical modeling analyses of CIRD pathogens emphasized the impact of co-infections on the severity of clinical presentation, and showed that host factors, such as animal age, are the most important predictors of disease severity. This study provides new insights into the current understanding of the prevalence and role of co-infections with selected viruses and bacteria in the etiology of CIRD, while underscoring the importance of molecular diagnosis and vaccination against this disease. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Identifier An unambiguous reference to the resource within a given context DOI: 10.1371/journal.pone.0215817 Source A related resource from which the described resource is derived PLoS ONE Publisher An entity responsible for making the resource available Public Library of Science (PLoS) 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 Language A language of the resource EN https://www.socictopen.socict.org/files/original/ed2b62330a6fcc71f259881d30e0739b.pdf fca9e090b0f3bb54d4853d29922897f8 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 Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China) Creator An entity primarily responsible for making the resource Hao YU, Xu Sun, Wei Deng Solvang, Xu Zhao Description An account of the resource The outbreak of an epidemic disease may pose significant treats to human beings and may further lead to a global crisis. In order to control the spread of an epidemic, the effective management of rapidly increased medical waste through establishing a temporary reverse logistics system is of vital importance. However, no research has been conducted with the focus on the design of an epidemic reverse logistics network for dealing with medical waste during epidemic outbreaks, which, if improperly treated, may accelerate disease spread and pose a significant risk for both medical staffs and patients. Therefore, this paper proposes a novel multi-objective multi-period mixed integer program for reverse logistics network design in epidemic outbreaks, which aims at determining the best locations of temporary facilities and the transportation strategies for effective management of the exponentially increased medical waste within a very short period. The application of the model is illustrated with a case study based on the outbreak of the coronavirus disease 2019 (COVID-19) in Wuhan, China. Even though the uncertainty of the future COVID-19 spread tendency is very high at the time of this research, several general policy recommendations can still be obtained based on computational experiments and quantitative analyses. Among other insights, the results suggest installing temporary incinerators may be an effective solution for managing the tremendous increase of medical waste during the COVID-19 outbreak in Wuhan, but the location selection of these temporary incinerators is of significant importance. Due to the limitation on available data and knowledge at present stage, more real-world information are needed to assess the effectiveness of the current solution. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Epidemic outbreak, Medical waste, reverse logistics, epidemic logistics, network design, Operations research Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17051770 Source A related resource from which the described resource is derived International Journal of Environmental Research and Public Health 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 Language A language of the resource EN https://www.socictopen.socict.org/files/original/372dcbc64eeceea3fa5c0c20fe55600a.pdf 22efa1d62da624717ade9ee2fbc36d26 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 A Meta-Analysis of Multiple Whole Blood Gene Expression Data Unveils a Diagnostic Host-Response Transcript Signature for Respiratory Syncytial Virus Creator An entity primarily responsible for making the resource Ruth Barral-Arca, Alberto Gómez-Carballa, Miriam Cebey-López, Xabier Bello, Federico Martinón-Torres, Antonio Salas Description An account of the resource Respiratory syncytial virus (RSV) is one of the major causes of acute lower respiratory tract infection worldwide. The absence of a commercial vaccine and the limited success of current therapeutic strategies against RSV make further research necessary. We used a multi-cohort analysis approach to investigate host transcriptomic biomarkers and shed further light on the molecular mechanism underlying RSV-host interactions. We meta-analyzed seven transcriptome microarray studies from the public Gene Expression Omnibus (GEO) repository containing a total of 922 samples, including RSV, healthy controls, coronaviruses, enteroviruses, influenzas, rhinoviruses, and coinfections, from both adult and pediatric patients. We identified > 1500 genes differentially expressed when comparing the transcriptomes of RSV-infected patients against healthy controls. Functional enrichment analysis showed several pathways significantly altered, including immunologic response mediated by RSV infection, pattern recognition receptors, cell cycle, and olfactory signaling. In addition, we identified a minimal 17-transcript host signature specific for RSV infection by comparing transcriptomic profiles against other respiratory viruses. These multi-genic signatures might help to investigate future drug targets against RSV infection. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Meta-analysis, RNA, transcriptomic, RSV, Respiratory Syncytial Virus, array Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijms21051831 Source A related resource from which the described resource is derived International Journal of Molecular Sciences 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 Biology (General), Chemistry Language A language of the resource EN https://www.socictopen.socict.org/files/original/fa15446da3d391cf21c2883d8f3db685.pdf ce3fc1d2da1bbeae2e912554529ab6f6 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 Optimization Method for Forecasting Confirmed Cases of COVID-19 in China Creator An entity primarily responsible for making the resource Mohammed A. A. Al-qaness, Ahmed A. Ewees, Hong Fan, Mohamed Abdelaziz Description An account of the resource In December 2019, a novel coronavirus, called COVID-19, was discovered in Wuhan, China, and has spread to different cities in China as well as to 24 other countries. The number of confirmed cases is increasing daily and reached 34,598 on 8 February 2020. In the current study, we present a new forecasting model to estimate and forecast the number of confirmed cases of COVID-19 in the upcoming ten days based on the previously confirmed cases recorded in China. The proposed model is an improved adaptive neuro-fuzzy inference system (ANFIS) using an enhanced flower pollination algorithm (FPA) by using the salp swarm algorithm (SSA). In general, SSA is employed to improve FPA to avoid its drawbacks (i.e., getting trapped at the local optima). The main idea of the proposed model, called FPASSA-ANFIS, is to improve the performance of ANFIS by determining the parameters of ANFIS using FPASSA. The FPASSA-ANFIS model is evaluated using the World Health Organization (WHO) official data of the outbreak of the COVID-19 to forecast the confirmed cases of the upcoming ten days. More so, the FPASSA-ANFIS model is compared to several existing models, and it showed better performance in terms of Mean Absolute Percentage Error (MAPE), Root Mean Squared Relative Error (RMSRE), Root Mean Squared Relative Error (RMSRE), coefficient of determination ( R 2 ), and computing time. Furthermore, we tested the proposed model using two different datasets of weekly influenza confirmed cases in two countries, namely the USA and China. The outcomes also showed good performances. 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, Adaptive neuro-fuzzy inference system (ANFIS), forecasting, Salp Swarm Algorithm (SSA), Flower Pollination Algorithm (FPA) Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/jcm9030674 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 Language A language of the resource EN https://www.socictopen.socict.org/files/original/ed8e9926e61939fee61b761cebeb2679.pdf 7059118fc259735d0c2de32a2840cd28 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 respiratory virome and exacerbations in patients with chronic obstructive pulmonary disease. Creator An entity primarily responsible for making the resource Anneloes L van Rijn, Sander van Boheemen, Igor Sidorov, Ellen C Carbo, Nikos Pappas, Hailiang Mei, Mariet Feltkamp, Marianne Aanerud, Per Bakke, Eric C. J. Claas, Tomas M. Eagan, Pieter S. Hiemstra, Aloys C. M. Kroes, Jutte J C de Vries Description An account of the resource INTRODUCTION:Exacerbations are major contributors to morbidity and mortality in patients with chronic obstructive pulmonary disease (COPD), and respiratory bacterial and viral infections are an important trigger. However, using conventional diagnostic techniques, a causative agent is not always found. Metagenomic next-generation sequencing (mNGS) allows analysis of the complete virome, but has not yet been applied in COPD exacerbations. OBJECTIVES:To study the respiratory virome in nasopharyngeal samples during COPD exacerbations using mNGS. STUDY DESIGN:88 nasopharyngeal swabs from 63 patients from the Bergen COPD Exacerbation Study (2006-2010) were analysed by mNGS and in-house qPCR for respiratory viruses. Both DNA and RNA were sequenced simultaneously using an Illumina library preparation protocol with in-house adaptations. RESULTS:By mNGS, 24/88 samples tested positive. Sensitivity and specificity, as compared with PCR, were 96% and 98% for diagnostic targets (23/24 and 1093/1120, respectively). Additional viral pathogens detected by mNGS were herpes simplex virus type 1 and coronavirus OC43. A positive correlation was found between Cq value and mNGS viral normalized species reads (log value) (p = 0.002). Patients with viral pathogens had lower percentages of bacteriophages (p Date A point or period of time associated with an event in the lifecycle of the resource 2019 Identifier An unambiguous reference to the resource within a given context DOI: 10.1371/journal.pone.0223952 Source A related resource from which the described resource is derived PLoS ONE Publisher An entity responsible for making the resource available Public Library of Science (PLoS) 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 Language A language of the resource EN https://www.socictopen.socict.org/files/original/8b9691f5def7e1101bc50c3db9f5c870.pdf e5b75fd08d1d78fe3f79e6a9ccc30292 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 Alltagsleben und Alltagskommunikation im Coronavirus-Kapitalismus Creator An entity primarily responsible for making the resource Christian Fuchs Description An account of the resource Im Jahr 2020 führte die Coronavirus-Krise zu einem Bruch in den Gesellschaften der Welt und deren Alltagsleben. Dieser Artikel ist ein Beitrag zur kritischen Theoretisierung der Veränderungen, die die Gesellschaften im Kontext der Coronavirus-Krise durchmachen. Er stellt die folgenden zwei Frage: Wie haben sich Alltagsleben und Alltagskommunikation in der Coronavirus-Krise verändert? Wie beeinflusst der Kapitalismus das Alltagsleben und die Alltagskommunikation in dieser Krise? Abschnitt 2 beschäftigt sich damit, wie sich der soziale Raum, das Alltagsleben und die Alltagskommunikation durch die Coronavirus-Krise verändert haben. Abschnitt 3 setzt sich mit der Kommunikation von Ideologie im Kontext des Coronavirus auseinander, indem die Kommunikation von Verschwörungstheorien und Falschnachrichten über das Coronavirus analysiert wird. Die Coronavirus-Krise ist eine Existenzkrise der Menschheit und der Gesellschaft. Sie konfrontiert die Menschen in radikaler Weise mit dem Tod und der Angst vor dem Tod. Diese kollektive Erfahrung kann einerseits zu neuen Formen der Solidarität und des Sozialismus führen. Wenn Ideologie und die extreme Rechte sich durchsetzt, so kann es andererseits aber zum Fortschreiten von Krieg und Faschismus kommen. Politisches Handeln und politische Ökonomie sind in einer derartigen tiefen Krise, die die Gesellschaft und das Alltagsleben erschüttert, entscheidende Faktoren. 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, Alltagsleben, alltagskommunikation, kritische theorie, kritische theorie der kommunikation, Kommunikationsmittel, kommunikationstechnologie, Kapitalismus, idéologie, fake news, falschnachrichten, öffentliche gesundheit, Henri Lefebvre, David Harvey Identifier An unambiguous reference to the resource within a given context DOI: 10.31269/triplec.v18i1.1168 Source A related resource from which the described resource is derived tripleC: Communication, Capitalism & Critique Publisher An entity responsible for making the resource available tripleC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Communication. Mass media, Communities. Classes. Races Language A language of the resource EN https://www.socictopen.socict.org/files/original/29bbda6f13525bb2e171115fc60f761b.pdf f77e4739a02d6b1896e6f60ab058e050 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 From Tuberculosis to COVID-19: Legal and Constitutional Framework Regarding Compulsory Isolation/Treatment due to Contagious Diseases in Portugal Creator An entity primarily responsible for making the resource Vasco Ricoca Peixoto, Ricardo Mexia, Nina de Sousa Santos, Carlos Carvalho, Alexandre Abrantes Description An account of the resource N/a. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Autonomia pessoal, coronavirus, infecções por coronavirus, isolamento de doentes/legislação & jurisprudência, Portugal, programas obrigatórios/legislação & jurisprudência, Tuberculose Identifier An unambiguous reference to the resource within a given context DOI: 10.20344/amp.13562 Source A related resource from which the described resource is derived Acta Médica Portuguesa Publisher An entity responsible for making the resource available Ordem dos Médicos 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 (General), Medicine Language A language of the resource EN, PT