672 10 20655 https://www.socictopen.socict.org/files/original/01afa1110ae96e89ca126591e1e57441.pdf 44234faea02394205f7061691adfd9f3 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 Safety in anesthesiology during the pandemic due to the new SARS-CoV-2 coronavirus Creator An entity primarily responsible for making the resource Amy Torres Montes de Oca Description An account of the resource Safety in anesthesiology can be defined as the risk reduction from the unnecessary damage associated with the anesthetic care to an acceptable minimum, taking into account the existing knowledge, the available resources and the context where the medical care of this specialty is presented. To such effects, the security measures that should be taken in the perioperative period are described, that were elaborated taking the international recommendations on the topic in question as a starting point, which are of great utility due to the speed with which this pandemic has expanded. 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, pandemia, coronavirus sars-cov-2, seguridad en anestesiología Source A related resource from which the described resource is derived Biotemas Publisher An entity responsible for making the resource available Universidade Federal de Santa Catarina 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), Internal medicine https://www.socictopen.socict.org/files/original/23f5dbf2ab92fca2f4ceb0feb3feb0b0.pdf 5608c0ab200c7f831daccde0887360cb 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 Science misuse and polarised political narratives in the COVID-19 response. Creator An entity primarily responsible for making the resource Rômulo Paes-Sousa, Christopher Millett, Rudi Rocha, Mauricio L Barreto, Thomas Hone 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 10.1016/S0140-6736(20)32168-1 Source A related resource from which the described resource is derived Lancet (London, England) https://www.socictopen.socict.org/files/original/2cceecd3f40f2ce65f1ebc217fe96d6c.pdf 54899e1d27d11ec097df175fc9eab4e9 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 Practical clinical and radiological models to diagnose COVID-19 based on a multicentric teleradiological emergency chest CT cohort Creator An entity primarily responsible for making the resource Vivien Thomson, Flavie Bratan, Jean-François Bergerot, Nathan Banaste, Guillaume Gorincour, Paul Schuster, Amandine Crombé, Hubert Nivet, Alice Berger, Laurent Pourriol, Nicolas Favard, Alban Chazot, Florian Alonzo-Lacroix, Emile Youssof, Alexandre Ben Cheikh, Julien Balique, Basile Porta, François Petitpierre, Grégoire Bouquet, Charles Mastier Description An account of the resource Abstract Our aim was to develop practical models built with simple clinical and radiological features to help diagnosing Coronavirus disease 2019 [COVID-19] in a real-life emergency cohort. To do so, 513 consecutive adult patients suspected of having COVID-19 from 15 emergency departments from 2020-03-13 to 2020-04-14 were included as long as chest CT-scans and real-time polymerase chain reaction (RT-PCR) results were available (244 [47.6%] with a positive RT-PCR). Immediately after their acquisition, the chest CTs were prospectively interpreted by on-call teleradiologists (OCTRs) and systematically reviewed within one week by another senior teleradiologist. Each OCTR reading was concluded using a 5-point scale: normal, non-infectious, infectious non-COVID-19, indeterminate and highly suspicious of COVID-19. The senior reading reported the lesions’ semiology, distribution, extent and differential diagnoses. After pre-filtering clinical and radiological features through univariate Chi-2, Fisher or Student t-tests (as appropriate), multivariate stepwise logistic regression (Step-LR) and classification tree (CART) models to predict a positive RT-PCR were trained on 412 patients, validated on an independent cohort of 101 patients and compared with the OCTR performances (295 and 71 with available clinical data, respectively) through area under the receiver operating characteristics curves (AUC). Regarding models elaborated on radiological variables alone, best performances were reached with the CART model (i.e., AUC = 0.92 [versus 0.88 for OCTR], sensitivity = 0.77, specificity = 0.94) while step-LR provided the highest AUC with clinical-radiological variables (AUC = 0.93 [versus 0.86 for OCTR], sensitivity = 0.82, specificity = 0.91). Hence, these two simple models, depending on the availability of clinical data, provided high performances to diagnose positive RT-PCR and could be used by any radiologist to support, modulate and communicate their conclusion in case of COVID-19 suspicion. Practically, using clinical and radiological variables (GGO, fever, presence of fibrotic bands, presence of diffuse lesions, predominant peripheral distribution) can accurately predict RT-PCR status. 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 10.1038/s41598-021-88053-6 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/8c8c307a69bafb5184b8d87755f91541.pdf 83a013cad1c4cc57b945c4d85cce5e13 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 Enhancing the recruitment of postgraduate researchers from diverse countries: managing the application process. Creator An entity primarily responsible for making the resource Kyung Hye Kim, Helen Spencer-Oatey Description An account of the resource International students form an important element of most universities' internationalisation strategies, especially for research and the recruitment of high calibre PhD students (PGRs). Despite the numerous studies of PGRs' post-arrival experiences, there is a major dearth of research into their pre-arrival, application experiences. Given the worldwide competition for high calibre PGRs, along with impact posed by the Covid-19 pandemic and by Brexit for the UK, it is vital for universities to ensure that factors clearly under their control, such as the information on their websites and the way they communicate, are as informative and helpful as possible. In this article, we draw on social media data to examine the challenges and uncertainties that Korean PGR applicants experienced in navigating the process of applying to UK universities. The paper compares their confusions with information available on university websites and recommends a series of points that higher education institutions should check for. It also reveals and discusses issues associated with communication. While the data has been collected from Korean social media websites, we argue that our paper has broader relevance for the following reasons. First, the same fundamental intercultural issues-different educational systems and different background knowledge-apply to PGR applicants from other countries and so their queries are likely to be similar or comparable. Second, the insights gained from social media websites to facilitate the application process and thereby enhance recruitment can usefully be applied to other countries and levels of study, in a way that has rarely been done to date. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource higher education, Recruitment, Uncertainties, Application process, International research students, Korean Identifier An unambiguous reference to the resource within a given context 10.1007/s10734-021-00681-z Source A related resource from which the described resource is derived Higher education https://www.socictopen.socict.org/files/original/ab33a392c1be35a93a466a3daabb7bb1.pdf 160d13b837a35768de212ba192c30a9f 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 Examining the Impact of COVID-19 Lockdown in Wuhan and Lombardy: A Psycholinguistic Analysis on Weibo and Twitter Creator An entity primarily responsible for making the resource Yue Su, Jia Xue, Xiaoqian Liu, Peijing Wu, Junxiang Chen, Chen Chen, Tianli Liu, Weigang Gong, Tingshao Zhu Description An account of the resource Many countries are taking strict quarantine policies to prevent the rapid spread of COVID-19 (Corona Virus Disease 2019) around the world, such as city lockdown. Cities in China and Italy were locked down in the early stage of the pandemic. The present study aims to examine and compare the impact of COVID-19 lockdown on individuals’ psychological states in China and Italy. We achieved the aim by (1) sampling Weibo users (geo-location = Wuhan, China) and Twitter users (geo-location = Lombardy, Italy); (2) fetching all the users’ published posts two weeks before and after the lockdown in each region (e.g., the lockdown date of Wuhan was 23 January 2020); (3) extracting the psycholinguistic features of these posts using the Simplified Chinese and Italian version of Language Inquiry and Word Count (LIWC) dictionary; and (4) conducting Wilcoxon tests to examine the changes in the psycholinguistic characteristics of the posts before and after the lockdown in Wuhan and Lombardy, respectively. Results showed that individuals focused more on “home”, and expressed a higher level of cognitive process after a lockdown in both Wuhan and Lombardy. Meanwhile, the level of stress decreased, and the attention to leisure increased in Lombardy after the lockdown. The attention to group, religion, and emotions became more prevalent in Wuhan after the lockdown. Findings provide decision-makers timely evidence on public reactions and the impacts on psychological states in the COVID-19 context, and have implications for evidence-based mental health interventions in two countries. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource public health emergencies, psychological states, psycholinguistic analysis, impact of COVID-19 lockdown Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17124552 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/e04dbc7b511625c492a8134aaa8ea64f.pdf 752f9465d31c056dd5e7846776615e83 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 Energy Demand in the State of Kuwait During the Covid-19 Pandemic: Technical, Economic, and Environmental Perspectives Creator An entity primarily responsible for making the resource Hamad M. Alhajeri, Abdulrahman Almutairi, Abdulrahman Alenezi, Faisal Alshammari Description An account of the resource The present paper reports the impact of the Covid-19 pandemic on the electricity peak load and power generation in the State of Kuwait during the partial and full curfews imposed in March, April and May 2020 using historic data measured data and the predictions provided by a statistical genetic algorithm model. A quantitative assessment is made of the economic and environmental impacts caused by partial and full lockdowns. Comparison of measured peak demand for 2019 and 2020 with predicted peak demand for 2020 has: (i) enabled an accurate evaluation of residential energy consumption in the state of Kuwait at nearly 18 MWh yearly the highest energy consumption per capita in the world, (ii) shown that the imposition of the curfews to reduce the spread of COVID-19 caused a fall in the demand for electrical power of 17.6% compared with the expected demand and (iii) quantified the reduction in CO2, NOx and CO pollutant emissions produced by power plants due to less fuel being consumed. A mathematical model has been developed to predict the peak electric load in the national grid according to climatic data supplied by the Meteorological Department of Civil Aviation of Kuwait and National Control Center (NCC). 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, curfew, energy forecasting, energy demand, peak load Identifier An unambiguous reference to the resource within a given context 10.3390/en13174370 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 Technology https://www.socictopen.socict.org/files/original/8270ecdc8130c056381f49c8df15f6b3.pdf 0b16feccb38ec514d68748d7daa1e351 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 first look at Android applications in Google Play related to COVID-19. Creator An entity primarily responsible for making the resource Jordan Samhi, Kevin Allix, Tegawendé F Bissyandé, Jacques Klein Description An account of the resource Due to the convenience of access-on-demand to information and business solutions, mobile apps have become an important asset in the digital world. In the context of the COVID-19 pandemic, app developers have joined the response effort in various ways by releasing apps that target different user bases (e.g., all citizens or journalists), offer different services (e.g., location tracking or diagnostic-aid), provide generic or specialized information, etc. While many apps have raised some concerns by spreading misinformation or even malware, the literature does not yet provide a clear landscape of the different apps that were developed. In this study, we focus on the Android ecosystem and investigate Covid-related Android apps. In a best-effort scenario, we attempt to systematically identify all relevant apps and study their characteristics with the objective to provide a first taxonomy of Covid-related apps, broadening the relevance beyond the implementation of contact tracing. Overall, our study yields a number of empirical insights that contribute to enlarge the knowledge on Covid-related apps: (1) Developer communities contributed rapidly to the COVID-19, with dedicated apps released as early as January 2020; (2) Covid-related apps deliver digital tools to users (e.g., health diaries), serve to broadcast information to users (e.g., spread statistics), and collect data from users (e.g., for tracing); (3) Covid-related apps are less complex than standard apps; (4) they generally do not seem to leak sensitive data; (5) in the majority of cases, Covid-related apps are released by entities with past experience on the market, mostly official government entities or public health organizations. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource coronavirus, statistics, covid-19, Android apps Identifier An unambiguous reference to the resource within a given context 10.1007/s10664-021-09943-x Source A related resource from which the described resource is derived Empirical software engineering https://www.socictopen.socict.org/files/original/45cb05bf92a16c48e873c1de80cb6c25.pdf 32280ceaacf37fb4d4e929304709c77d 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 Is Rural Kansas Prepared? An Assessment of Resources Related to the COVID-19 Pandemic. Creator An entity primarily responsible for making the resource Hannah Berland, Dorothy Hughes Description An account of the resource This cross-sectional study investigated rural Kansas healthcare resources relevant to COVID-19 at the county level in the context of population characteristics. The federal Area Health Resource File was used to assess system capacity and critical care-related resources and COVID-19-related risk factors at the county level. Data were described with summary statistics, cross-tabulations, and bivariate tests to discern differences across county rurality categories (2013 Rural-Urban Continuum Codes). Kansas has 105 counties. Metropolitan counties had an average of 1.5 physicians (M.D. or D.O., any specialty) per 1,000 people, while rural counties had 0.8. A total of 63.5% of rural counties had no anesthesia providers and 100.0% of rural counties had no pulmonary disease physicians. While 96 counties have at least one hospital, nearly 90% rural counties had no intensive care unit (ICU) services. The percent of the population estimated to be over 65 was higher among rural counties (24.2%) than metropolitan counties (19.3%). On average, rural counties had nearly twice as many deaths per 1,000 people by cardiovascular disease and more chronic obstructive pulmonary disease deaths than metropolitan and nonmetropolitan/urban adjacent counties. Kansas faced limited ICU capabilities and physician workforce shortages in rural counties, both in primary care and specialties such as anesthesia and pulmonology. In addition, nonmetropolitan/urban adjacent and rural population age structures and mortality rates potentially demonstrated an increased risk to overwhelm local healthcare systems. This may have serious implications for rural health, particularly in the context of the COVID-19 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, healthcare systems, health disparities, Critical care, nonmetropolitan populations Identifier An unambiguous reference to the resource within a given context 10.17161/kjm.vol1414597 Source A related resource from which the described resource is derived Kansas journal of medicine https://www.socictopen.socict.org/files/original/9937f950ed8a59aae1c9ac489d8b52eb.pdf ab0fa008249f2a9fc45e3434e831ecb4 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 Changes in the Clinical Characteristics of 62 Patients Who Died from Coronavirus Disease 2019 Creator An entity primarily responsible for making the resource Ji-Shi Ye, Zhong-Yuan Xia, Jingli Chen, Hui Li, Hong Yan Description An account of the resource Background. Since the first reports of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections in December 2019 in Wuhan, China, the virus has spread to other parts of China and across the world. Although a few studies have assessed the clinical course of coronavirus disease 2019 (COVID-19), the changes in clinical characteristics during disease progression remain unclear. Methods. We retrospectively analyzed the clinical characteristics of 62 patients who died from COVID-19 at the Central Hospital of Wuhan between January 26 and February 17, 2020. We compared the clinical features on admission and at the last follow-up before death. Results. Of the 62 patients with COVID-19, 41 (66%) patients were male, and 21 (34%) were female. The median age was 72 years (interquartile range (IQR), 54-88), and 45 (72.5%) patients had preexisting conditions. The median time from symptom onset to the first visit at the clinic was three days, while the median time from symptom onset to death was 18.5 days. During disease progression, the amounts of arterial gases worsened, and liver, renal, and heart dysfunction was observed. Due to the cytokine storm, infection-related biomarkers, including lactic acid, C-reactive protein, and interleukine-6, gradually worsened during hospitalization. Conclusion. Our findings suggest that during hospitalization, many COVID-19 patients experienced multiple organ dysfunction and cytokine storm. The time from symptom onset to death was only 18.5 days, highlighting the disease’s rapid progression. The better understanding of the clinical changes during disease progression might provide further insight into the COVID-19 pathophysiology. 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 10.1155/2020/3280908 Source A related resource from which the described resource is derived BioMed Research International Publisher An entity responsible for making the resource available Hindawi Limited 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/f968c472ac477d1ac71640aa507e1827.pdf 83a9839830c11acb82d3078ab0c84bca 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 Prediction of the SARS-CoV-2 (2019-nCoV) 3C-like protease (3CLpro) structure: virtual screening reveals velpatasvir, ledipasvir, and other drug repurposing candidates [version 1; peer review: 2 approved] Creator An entity primarily responsible for making the resource Yu Wai Chen, Chin-Pang Bennu Yiu, Kwok-Yin Wong Description An account of the resource We prepared the three-dimensional model of the SARS-CoV-2 (aka 2019-nCoV) 3C-like protease (3CLpro) using the crystal structure of the highly similar (96% identity) ortholog from the SARS-CoV. All residues involved in the catalysis, substrate binding and dimerisation are 100% conserved. Comparison of the polyprotein PP1AB sequences showed 86% identity. The 3C-like cleavage sites on the coronaviral polyproteins are highly conserved. Based on the near-identical substrate specificities and high sequence identities, we are of the opinion that some of the previous progress of specific inhibitors development for the SARS-CoV enzyme can be conferred on its SARS-CoV-2 counterpart.  With the 3CLpro molecular model, we performed virtual screening for purchasable drugs and proposed 16 candidates for consideration. Among these, the antivirals ledipasvir or velpatasvir are particularly attractive as therapeutics to combat the new coronavirus with minimal side effects, commonly fatigue and headache.  The drugs Epclusa (velpatasvir/sofosbuvir) and Harvoni (ledipasvir/sofosbuvir) could be very effective owing to their dual inhibitory actions on two viral enzymes. 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 10.12688/f1000research.22457.1 Source A related resource from which the described resource is derived Biotemas Publisher An entity responsible for making the resource available Universidade Federal de Santa Catarina 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