144 10 20655 https://www.socictopen.socict.org/files/original/79eef07c8f1c9ea1c91a50f5dd8a0d04.pdf dad821e9bdd3e60279e55ef826b38696 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 Structural Genomics of SARS-CoV-2 Indicates Evolutionary Conserved Functional Regions of Viral Proteins Creator An entity primarily responsible for making the resource Suhas Srinivasan, Hongzhu Cui, Ziyang Gao, Ming Liu, Sen-Bao Lu, Winnie Mkandawire, Oleksandr Narykov, Mo Sun, Dmitry Korkin Description An account of the resource During its first two and a half months, the recently emerged 2019 novel coronavirus, SARS-CoV-2, has already infected over one-hundred thousand people worldwide and has taken more than four thousand lives. However, the swiftly spreading virus also caused an unprecedentedly rapid response from the research community facing the unknown health challenge of potentially enormous proportions. Unfortunately, the experimental research to understand the molecular mechanisms behind the viral infection and to design a vaccine or antivirals is costly and takes months to develop. To expedite the advancement of our knowledge, we leveraged data about the related coronaviruses that is readily available in public databases and integrated these data into a single computational pipeline. As a result, we provide comprehensive structural genomics and interactomics roadmaps of SARS-CoV-2 and use this information to infer the possible functional differences and similarities with the related SARS coronavirus. All data are made publicly available to the research community Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource 2019 novel coronavirus, SARS-CoV-2, 2019ncov, COVID-19, Structural Genomics, interactome, protein-protein interactions Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/v12040360 Source A related resource from which the described resource is derived Viruses 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 Microbiology Language A language of the resource EN https://www.socictopen.socict.org/files/original/f8efbc75460199c8ae8781b0de8cd450.pdf 9cf4c02a64ef6a22ab5b93da054b3439 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 Uncommon Atypical Presentations of COVID-19: Important and Should Not be Under Recognized! Creator An entity primarily responsible for making the resource Sim Sai, Viroj Wiwanitkit Description An account of the resource Coronavirus disease 2019 (COVID-19) is a new viral disease that has become a global public health concern in 2020. This disease is caused by a novel coronavirus firstly detected in the People’s Republic of China. This viral infection can cause febrile illness and respiratory problems. There are other uncommon clinical presentations of COVID-19 such as afebrile illness, diarrhea, non-coughing and confusion. These atypical presentations can result in difficulty in diagnosing the disease. In this short review, the authors specifically discuss the important uncommon atypical presentations of COVID-19. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource atypical, COVID-19, manifestation Identifier An unambiguous reference to the resource within a given context DOI: 10.31584/jhsmr.2020733 Source A related resource from which the described resource is derived Journal of Health Science and Medical Research (JHSMR) Publisher An entity responsible for making the resource available Prince of Songkla 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 Language A language of the resource EN https://www.socictopen.socict.org/files/original/6adce77a65512111c59b9732da2ebd35.pdf 0e4cc4140acf013d43ea83444ecd8e69 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 Structural Basis for Inhibiting Porcine Epidemic Diarrhea Virus Replication with the 3C-Like Protease Inhibitor GC376 Creator An entity primarily responsible for making the resource Gang Ye, Xiaowei Wang, Xiaohan Tong, Yuejun Shi, Zhen F. Fu, Guiqing Peng Description An account of the resource Porcine epidemic diarrhea virus (PEDV), being highly virulent and contagious in piglets, has caused significant damage to the pork industries of many countries worldwide. There are no commercial drugs targeting coronaviruses (CoVs), and few studies on anti-PEDV inhibitors. The coronavirus 3C-like protease (3CLpro) has a conserved structure and catalytic mechanism and plays a key role during viral polyprotein processing, thus serving as an appealing antiviral drug target. Here, we report the anti-PEDV effect of the broad-spectrum inhibitor GC376 (targeting 3Cpro or 3CLpro of viruses in the picornavirus-like supercluster). GC376 was highly effective against the PEDV 3CLpro and exerted similar inhibitory effects on two PEDV strains. Furthermore, the structure of the PEDV 3CLpro in complex with GC376 was determined at 1.65 Å. We elucidated structural details and analyzed the differences between GC376 binding with the PEDV 3CLpro and GC376 binding with the transmissible gastroenteritis virus (TGEV) 3CLpro. Finally, we explored the substrate specificity of PEDV 3CLpro at the P2 site and analyzed the effects of Leu group modification in GC376 on inhibiting PEDV infection. This study helps us to understand better the PEDV 3CLpro substrate specificity, providing information on the optimization of GC376 for development as an antiviral therapeutic against coronaviruses. 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, pedv 3cl^pro, inhibitor, Crystal structure, Complex Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/v12020240 Source A related resource from which the described resource is derived Viruses 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 Microbiology Language A language of the resource EN https://www.socictopen.socict.org/files/original/0251560eca0cc71bbb8adf0ada8563e3.pdf c99f294ccbded475b7a35dd7068c4654 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 Conducting a high-stakes OSCE in a COVID-19 environment Creator An entity primarily responsible for making the resource Katharine Boursicot, Sandra Kemp, Thun How Ong, Limin Wijaya, Sok Hong Goh, Kirsty Freeman, Ian Curran Description An account of the resource The COVID-19 pandemic has presented significant challenges for medical schools. It is critical to ensure final year medical school students are not delayed in their entry to the clinical workforce in times of healthcare crisis. However, proceeding with assessment to determine competency for graduation from medical school, and maintaining performance standards for graduating doctors is an unprecedented challenge under pandemic conditions. This challenge is hitherto uncharted territory for medical schools and there is scant guidance for medical educators. In early March 2020, Duke-National University Singapore Medical School embraced the challenge for ensuring competent final year medical students could complete their final year of studies and graduate on time, to enter the medical workforce in Singapore without delay. This paper provides details of how the final year clinical performance examinations were planned and conducted during the COVID-19 pandemic. The aim of the paper is to provide guidance to other medical schools in similar circumstances who need to plan and make suitable adjustments to clinical skills examinations under current pandemic conditions. The paper illustrates how it is possible to design and implement clinical skills examinations (OSCEs) to ensure the validity and reliability of high-stakes performance assessments whilst protecting the safety of all participants, minimising risk and maintaining defensibility to key stakeholders. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource O.S.C.E, clinical examination, Pandemic, COVID-19, Simulation, Clinical skills assessment, Performance assessment Identifier An unambiguous reference to the resource within a given context DOI: Source A related resource from which the described resource is derived MedEdPublish Publisher An entity responsible for making the resource available Association for Medical Education in Europe (AMEE) 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, Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/9b310e601f2f0f7f6d0fff7a6a83f83f.pdf fa511989936500671076de4a5edd2738 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 Identification of A Novel Pathogen in Real Time: Analysis of the Atypical Pneumonia Outbreak in Wuhan, China, 2019—2020 Creator An entity primarily responsible for making the resource Sung-Mok Jung, Ryo Kinoshita, Robin N Thompson, Natalie M. Linton, Yichi Yang, Andrei R. Akhmetzhanov, Hiroshi Nishiura Description An account of the resource Virological tests have now shown conclusively that a novel coronavirus is causing the 2019−2020 atypical pneumonia outbreak in Wuhan, China. We demonstrate that non-virological descriptive characteristics could have determined that the outbreak is caused by a novel pathogen in advance of virological testing. Characteristics of the ongoing outbreak were collected in real time from two medical social media sites. These were compared against characteristics of eleven pathogens that have previously caused cases of atypical pneumonia. The probability that the current outbreak is due to “Disease X” (i.e., previously unknown etiology) as opposed to one of the known pathogens was inferred, and this estimate was updated as the outbreak continued. The probability (expressed as a percentage) that Disease X is driving the outbreak was assessed as over 29% on 31 December 2019, one week before virus identification. After some specific pathogens were ruled out by laboratory tests on 5 January 2020, the inferred probability of Disease X was over 49%. We showed quantitatively that the emerging outbreak of atypical pneumonia cases is consistent with causation by a novel pathogen. The proposed approach, which uses only routinely observed non-virological data, can aid ongoing risk assessments in advance of virological test results becoming available. 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, causation, Bayes’ theorem, diagnosis, Prediction, Statistical model Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/jcm9030637 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/bc3c67fa6dfec9b76f05d698a48fbcab.pdf 492130e7b550273af184535d36d0dc2f 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 Disposable DNA Amplification Chips with Integrated Low-Cost Heaters ^† Creator An entity primarily responsible for making the resource Henk-Willem Veltkamp, Fernanda Akegawa Monteiro, Remco Sanders, Remco Wiegerink, Joost Lötters Description An account of the resource Fast point-of-use detection of, for example, early-stage zoonoses, e.g., Q-fever, bovine tuberculosis, or the Covid-19 coronavirus, is beneficial for both humans and animal husbandry as it can save lives and livestock. The latter prevents farmers from going bankrupt after a zoonoses outbreak. This paper describes the development of a fabrication process and the proof-of-principle of a disposable DNA amplification chip with an integrated heater. Based on the analysis of the milling process, metal adhesion studies, and COMSOL MultiPhysics heat transfer simulations, the first batch of chips has been fabricated and successful multiple displacement amplification reactions are performed inside these chips. This research is the first step towards the development of an early-stage zoonoses detection device. Tests with real zoonoses and DNA specific amplification reactions still need to be done. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource early-stage disease detection, multiple displacement amplification, on-chip dna amplification, integrated heaters, cyclic olefin copolymer, polymer-based disposable microfluidic chips, Zoonoses Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/mi11030238 Source A related resource from which the described resource is derived Micromachines 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 Mechanical engineering and machinery Language A language of the resource EN https://www.socictopen.socict.org/files/original/2155e5b2b4b51bd4bf9f372a5b9b6f2e.pdf ddbd2d17d077e39195911b71618965cd 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 Short-term Forecasts of the COVID-19 Epidemic in Guangdong and Zhejiang, China: February 13–23, 2020 Creator An entity primarily responsible for making the resource Kimberlyn Roosa, Yiseul Lee, Ruiyan Luo, Alexander Kirpich, Richard Rothenberg, James M. Hyman, Ping Yan, Gerardo Chowell Description An account of the resource The ongoing COVID-19 epidemic continues to spread within and outside of China, despite several social distancing measures implemented by the Chinese government. Limited epidemiological data are available, and recent changes in case definition and reporting further complicate our understanding of the impact of the epidemic, particularly in the epidemic’s epicenter. Here we use previously validated phenomenological models to generate short-term forecasts of cumulative reported cases in Guangdong and Zhejiang, China. Using daily reported cumulative case data up until 13 February 2020 from the National Health Commission of China, we report 5- and 10-day ahead forecasts of cumulative case reports. Specifically, we generate forecasts using a generalized logistic growth model, the Richards growth model, and a sub-epidemic wave model, which have each been previously used to forecast outbreaks due to different infectious diseases. Forecasts from each of the models suggest the outbreaks may be nearing extinction in both Guangdong and Zhejiang; however, the sub-epidemic model predictions also include the potential for further sustained transmission, particularly in Zhejiang. Our 10-day forecasts across the three models predict an additional 65−81 cases (upper bounds: 169−507) in Guangdong and an additional 44−354 (upper bounds: 141−875) cases in Zhejiang by February 23, 2020. In the best-case scenario, current data suggest that transmission in both provinces is slowing down. 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, China, real-time forecasts, phenomenological models, sub-epidemic model Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/jcm9020596 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/8aeb872a0fac1bc9d7addb687448eb9f.pdf 6717b143fe1f341e746cccf0bc0ff929 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 Prevention Is Better Than the Cure: Risk Management of COVID-19 Creator An entity primarily responsible for making the resource Michael McAleer Description An account of the resource A novel coronavirus was reported to the World Health Organization (WHO) in China on 31 December 2019. The WHO named the disease COVID-19 on 11 February 2020. As of 26 February 2020, the disease has been detected on all continents, except for Antarctica. Daily updates on COVID-19 since early February 2020 have made headline news worldwide for much of 2020. This editorial evaluates risk management based on the Global Health Security (GHS) Index of global health security capabilities in 195 countries. The GHS Index lists the countries best prepared for an epidemic or pandemic. COVID-19 is compared with two related coronavirus epidemics, SARS and MERS, in terms of the number of reported human infections, deaths, countries, major country clusters, timelines, and the likelihood of discovering a safe, effective, and approved vaccine. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource COVID-19, SARS, MERS, Risk Management, vaccines, cures, Clinical trials Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/jrfm13030046 Source A related resource from which the described resource is derived Journal of Risk and Financial Management 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 Finance, Risk in industry. Risk management Language A language of the resource EN https://www.socictopen.socict.org/files/original/7ca77c1ab12e434770553971f17e77ff.pdf 3da81c3426189f5ebe48690caab742a6 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. Punto de vista del cardiólogo. Creator An entity primarily responsible for making the resource Adrian Naranjo Dominguez, Alexander Valdés Martín 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, epidemia Identifier An unambiguous reference to the resource within a given context DOI: Source A related resource from which the described resource is derived Revista Cubana de Cardiología y Cirugía Cardiovascular Publisher An entity responsible for making the resource available ECIMED 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, Diseases of the circulatory (Cardiovascular) system Language A language of the resource ES https://www.socictopen.socict.org/files/original/fbfac34e5693396a60153c21f37e2ac9.pdf 95551ec73768ee6fa9b4f6d87ec60ee4 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 Emetine, Ipecac, Ipecac Alkaloids and Analogues as Potential Antiviral Agents for Coronaviruses Creator An entity primarily responsible for making the resource Martin D. Bleasel, Gregory M. Peterson Description An account of the resource The COVID-19 coronavirus is currently spreading around the globe with limited treatment options available. This article presents the rationale for potentially using old drugs (emetine, other ipecac alkaloids or analogues) that have been used to treat amoebiasis in the treatment of COVID-19. Emetine had amongst the lowest reported half-maximal effective concentration (EC50) from over 290 agents screened for the Middle East respiratory syndrome (MERS) and severe acute respiratory syndrome (SARS) coronaviruses. While EC50 concentrations of emetine are achievable in the blood, studies show that concentrations of emetine can be almost 300 times higher in the lungs. Furthermore, based on the relative EC50s of emetine towards the coronaviruses compared with Entamoeba histolytica, emetine could be much more effective as an anti-coronavirus agent than it is against amoebiasis. This paper also discusses the known side effects of emetine and related compounds, how those side effects can be managed, and the optimal method of administration for the potential treatment of COVID-19. Given the serious and immediate threat that the COVID-19 coronavirus poses, our long history with emetine and the likely ability of emetine to reach therapeutic concentrations within the lungs, ipecac, emetine, and other analogues should be considered as potential treatment options, especially if in vitro studies confirm viral sensitivity. 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, emetine, Ipecac, dehydroemetine, MERS, SARS, treatment, repurposing: antiviral Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ph13030051 Source A related resource from which the described resource is derived Pharmaceuticals 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 Pharmacy and materia medica Language A language of the resource EN