964 10 20655 https://www.socictopen.socict.org/files/original/77835c0ebede9256aeb37306064c12ff.pdf 21c044aedaeb4bd54facd68450ac864a 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 Involvement of Interleukin-1 Receptor-Associated Kinase 4 and Interferon Regulatory Factor 5 in the Immunopathogenesis of SARS-CoV-2 Infection: Implications for the Treatment of COVID-19 Creator An entity primarily responsible for making the resource Nicholas Stoy Description An account of the resource Interleukin-1 receptor-associated kinase 4 (IRAK4) and interferon regulatory factor 5 (IRF5) lie sequentially on a signaling pathway activated by ligands of the IL-1 receptor and/or multiple TLRs located either on plasma or endosomal membranes. Activated IRF5, in conjunction with other synergistic transcription factors, notably NF-κB, is crucially required for the production of proinflammatory cytokines in the innate immune response to microbial infection. The IRAK4-IRF5 axis could therefore have a major role in the induction of the signature cytokines and chemokines of the hyperinflammatory state associated with severe morbidity and mortality in COVID-19. Here a case is made for considering IRAK4 or IRF5 inhibitors as potential therapies for the “cytokine storm” of COVID-19. 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, cytokine storm, IRF5, IRAK4, M1 macrophages, Pellino-1 Identifier An unambiguous reference to the resource within a given context 10.3389/fimmu.2021.638446 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 Immunologic diseases. Allergy https://www.socictopen.socict.org/files/original/abb78efa84abc844678149d1822ec621.pdf 1f088cd42c8849936250bfb8a654237c 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 Statistical Decision Properties of Imprecise Trials Assessing Coronavirus Disease 2019 (COVID-19) Drugs. Creator An entity primarily responsible for making the resource Charles F Manski, Aleksey Tetenov Description An account of the resource Researchers studying treatment of coronavirus disease 2019 (COVID-19) have reported findings of randomized trials comparing standard care with care augmented by experimental drugs. Many trials have small sample sizes, so estimates of treatment effects are imprecise. Hence, clinicians may find it difficult to decide when to treat patients with experimental drugs. A conventional practice when comparing standard care and an innovation is to choose the innovation only if the estimated treatment effect is positive and statistically significant. This practice defers to standard care as the status quo. We study treatment choice from the perspective of statistical decision theory, which considers treatment options symmetrically when assessing trial findings. We use the concept of near-optimality to evaluate criteria for treatment choice. This concept jointly considers the probability and magnitude of decision errors. An appealing criterion from this perspective is the empirical success rule, which chooses the treatment with the highest observed average patient outcome in the trial. Considering the design of some COVID-19 trials, we show that the empirical success rule yields treatment choices that are much closer to optimal than those generated by prevailing decision criteria based on hypothesis tests. Using trial findings to make near-optimal treatment choices rather than perform hypothesis tests should improve clinical decision making. 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, randomized trials, decision criteria, near optimality Identifier An unambiguous reference to the resource within a given context 10.1016/j.jval.2020.11.019 Source A related resource from which the described resource is derived Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research https://www.socictopen.socict.org/files/original/e5aba36810ce8c605b9939f26dffde56.pdf b11e4f65d3c4401eef8269380889ee14 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 Societal Effects Are a Major Factor for the Uptake of the Coronavirus Disease 2019 (COVID-19) Digital Contact Tracing App in The Netherlands. Creator An entity primarily responsible for making the resource Niek Mouter, Marion Collewet, G Ardine de Wit, Adrienne Rotteveel, Mattijs S Lambooij, Roselinde Kessels Description An account of the resource Our study investigates the extent to which uptake of a COVID-19 digital contact-tracing (DCT) app among the Dutch population is affected by its configurations, its societal effects, and government policies toward such an app. We performed a discrete choice experiment among Dutch adults including 7 attributes, that is, who gets a notification, waiting time for testing, possibility for shops to refuse customers who have not installed the app, stopping condition for contact tracing, number of people unjustifiably quarantined, number of deaths prevented, and number of households with financial problems prevented. The data were analyzed by means of panel mixed logit models. The prevention of deaths and financial problems of households had a very strong influence on the uptake of the app. Predicted app uptake rates ranged from 24% to 78% for the worst and best possible app for these societal effects. We found a strong positive relationship between people's trust in government and people's propensity to install the DCT app. The uptake levels we find are much more volatile than the uptake levels predicted in comparable studies that did not include societal effects in their discrete choice experiments. Our finding that the societal effects are a major factor in the uptake of the DCT app results in a chicken-or-the-egg causality dilemma. That is, the societal effects of the app are severely influenced by the uptake of the app, but the uptake of the app is severely influenced by its societal effects. 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, covid-19, SARS-CoV-2, Preferences, discrete choice experiment, digital contact tracing app, societal effects Identifier An unambiguous reference to the resource within a given context 10.1016/j.jval.2021.01.001 Source A related resource from which the described resource is derived Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research https://www.socictopen.socict.org/files/original/2db36d2137b9921b29c6a92b4e24d4ff.pdf 398011b2edecdf142a7bef2891d7ee2e 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 Region-specific COVID-19 risk scores and nutritional status of a high-risk population based on individual vulnerability assessment in the national survey data. Creator An entity primarily responsible for making the resource Inkyung Baik Description An account of the resource Coronavirus disease 2019 (COVID-19) is an ongoing pandemic outbreak leading to more than 1 million deaths worldwide as reported in 2020. Several risk assessment tools, including individual vulnerability to COVID-19, have been developed. The present study aimed to characterize a high-risk population using such a tool and examine risk factors and nutritional status in the national survey data and estimate the region-specific population size. The study included 17,540 Korean adults who participated in the Korea National Health and Nutrition Examination Survey (KNHANES). The risk scores for individual vulnerability to COVID-19 were calculated based on age, sex, smoking status, and comorbidities, and a high-risk population was defined as having risk scores ≥11. Nutritional status was compared between the high-risk population and the remaining participants in the KNHANES data. The region-specific population size was estimated using national statistics. The proportion of the high-risk population was estimated to be 10.5%, which corresponds to approximately 4.6 million adults in South Korea. About 20% of them had inadequate intake of all of vitamins A, B1, B2, B3, and C below the estimated average requirement. The high-risk population showed 1.65 [95% confidence interval: 1.39, 1.96] higher odds of inadequate intake of multiple vitamins than the remaining participants. In the ecological analysis, the region-specific numbers of the high-risk population correlated significantly with the actual numbers of deaths due to COVID-19 (P value = 0.013). These results suggest that individuals vulnerable to COVID-19, in particular those are living in densely populated regions, should pay particular attention to the protection against this pandemic and have adequate nutritional status, which may support optimal immune function. 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, Risk assessment, Death, Nutritional status, national survey Identifier An unambiguous reference to the resource within a given context 10.1016/j.clnu.2021.02.019 Source A related resource from which the described resource is derived Clinical nutrition (Edinburgh, Scotland) https://www.socictopen.socict.org/files/original/c87341ea05f22a3836cd385e86d35ce6.pdf 2df0963c39342d217b08564e762199d7 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 Facing coronavirus disease 2019: What do we know so far? (Review). Creator An entity primarily responsible for making the resource Qie Guo, Wen Xu, Pan-Feng Wang, Hong-Yan Ji, Xiao-Lei Zhang, Kai Wang, Jing Li Description An account of the resource Although the World Health Organization declared the outbreak of coronavirus disease 2019 (COVID-19), which originated in China, as a public health emergency of international concern as early as January 30, 2020, the current COVID-19 epidemic is spreading rapidly. As of April 19, 2020, total of 2,392,165 confirmed cases had been reported in 211 countries and regions, with 614,421 (25.68%) cured cases and 164,391 (6.87%) deaths. Scientists and clinicians have made great efforts to learn much about COVID-19 so that it can be controlled as soon as possible. Herein, this review will discuss the epidemiology, pathology, clinical features, diagnosis and treatment of COVID-19 based on the current evidence. 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, Coronavirus disease 2019, severe acute respiratory syndrome coronavirus 2 Identifier An unambiguous reference to the resource within a given context 10.3892/etm.2021.10090 Source A related resource from which the described resource is derived Experimental and therapeutic medicine https://www.socictopen.socict.org/files/original/980e97633c96b90506595a1a5e2291a9.pdf 345d0ea1d7335552826a641f800a12f7 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 Early Traumatic Facial Nerve Surgery a Priority during the COVID-19 Pandemic? Creator An entity primarily responsible for making the resource Mohammad Faramarzi, Ali Faramarzi, Milad Hosseinialhashemi Description An account of the resource As otolaryngologists are exposed to high risk of coronavirus disease 2019 (COVID-19) infection, logic and evidence-based prioritization for surgeries is essential to reduce the risk of infection amongst healthcare workers. Several clinical guidelines and surgery prioritizing recommendations have been published during the COVID-19 pandemic. They recommended the surgery in the setting of immediate facial nerve paralysis within 72 hours after trauma, but none of the previous studies in the literature suggests that the optimal timing of operation should be less than 2 weeks from injury. 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, Pandemic, facial nerve Identifier An unambiguous reference to the resource within a given context 10.1055/s-0041-1724089 Source A related resource from which the described resource is derived International Archives of Otorhinolaryngology Publisher An entity responsible for making the resource available Thieme Revinter Publicações Ltda. 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, Otorhinolaryngology https://www.socictopen.socict.org/files/original/490ab04b1c6804e3669403719fa20c8e.pdf 4bcb2b5f2a50d1d3a7d731ddaded474e 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 Failure of Anticoagulation to Prevent Stroke in Context of Lupus-Associated Anti-Phospholipid Syndrome and Mild COVID-19. Creator An entity primarily responsible for making the resource Keith J Kincaid, Alexis N Simpkins Description An account of the resource Hypercoagulability and virally-mediated vascular inflammation have become well-recognized features of the SARS-CoV-2 virus infection, COVID-19. Of growing concern is the apparent ineffectiveness of therapeutic anticoagulation in preventing thromboembolic events among some at-risk patient subtypes with COVID-19. We present a 43-year-old female with a history of seropositive-antiphospholipid syndrome and systemic lupus erythematosus who developed an acute ischemic stroke in the setting of mild COVID-19 infection despite adherence to chronic systemic anticoagulation. The clinical significance of SARS-CoV-2-mediated endothelial cell dysfunction and its potential to cause macrovascular events in spite of full anticoagulation warrants further investigation and likely represents another disease-defining pathology of COVID-19. 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, Anti coagulation, Ischemic Stroke, Hypercoagulable state, antiphospholipid Identifier An unambiguous reference to the resource within a given context 10.1016/j.jstrokecerebrovasdis.2021.105817 Source A related resource from which the described resource is derived Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association https://www.socictopen.socict.org/files/original/ca0038a9c49908e527439ea497fb8fc5.pdf 9b0c83c4befc94540dc9093b3540f5f2 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 Alveolar hemorrhage in the setting of COVID-19: Report of a successful vascular intervention and embolization. Creator An entity primarily responsible for making the resource Afshin Mohammadi, Behdad Boroofeh, Seyed Ali Mousavi-Aghdas, Mohammad Mirza-Aghazadeh-Attari Description An account of the resource The coronavirus disease 2019 (COVID-19) is characterized by viral pneumonia with mild to moderate symptoms. Emerging studies suggest that some patients may experience uncommon complications, such as thrombotic or hemorrhagic episodes. Here we present a 59-year-old male patient who had a hemorrhage episode from a branch of the pulmonary arteries and was treated by interventional embolization. Our case report demonstrates the importance of early diagnosis of hemorrhagic complications of COVID-19 and the possible benefits of early vascular intervention. 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, radiology, vascular intervention Identifier An unambiguous reference to the resource within a given context 10.1016/j.radcr.2021.04.034 Source A related resource from which the described resource is derived Radiology case reports https://www.socictopen.socict.org/files/original/09f500e14911e5c719a9e8a74b16956a.pdf 9181ea2960606bef2a8cbf76c6d7385f 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 clustering of unhealthy movement behaviors during the COVID-19 quarantine and the association with mental health indicators among Brazilian adults. Creator An entity primarily responsible for making the resource André O Werneck, Danilo R Silva, Deborah C Malta, Paulo R B Souza-Júnior, Luiz O Azevedo, Marilisa B A Barros, Célia L Szwarcwald Description An account of the resource Our aim was to analyze the prevalence of unhealthy movement behavior clusters before and during the COVID-19 pandemic, as well as to investigate whether changes in the number of unhealthy behaviors during the COVID-19 pandemic quarantine were associated with mental health indicators. Data of 38,353 Brazilian adults from a nationwide behavior research were used. For movement behaviors, participants reported the frequency and duration of physical activity and daily time on TV viewing and computer/tablet use before and during the pandemic period. Participants also reported the frequency of loneliness, sadness (feeling sad, crestfallen, or depressed), and anxiety feelings (feeling worried, anxious, or nervous) during the pandemic period. Sex, age group, highest academic achievement, working status during quarantine, country region, and time adhering to the quarantine were used as correlates. We used descriptive statistics and logistic regression models for the data analysis. The prevalence of all movement behavior clusters increased during the COVID-19 pandemic. The cluster of all three unhealthy movement behaviors increased from 4.6% (95% confidence interval [CI]: 3.9-5.4) to 26.2% (95% CI: 24.8-27.7). Younger adults, people with higher academic achievement, not working or working at home, and those with higher time in quarantine presented higher clustering. People that increased one and two or three unhealthy movement behaviors were, respectively, more likely to present loneliness (odds ratio [OR] = 1.41 [95% CI: 1.21-1.65] and OR = 1.71 [95% CI: 1.42-2.07]), sadness (OR = 1.25 [95% CI: 1.06-1.48] and OR = 1.73 [95% CI: 1.42-2.10]), and anxiety (OR = 1.34 [95% CI: 1.13-1.57] and OR = 1.78 [95% CI: 1.46-2.17]) during the COVID-19 quarantine. Clustering of unhealthy movement behaviors substantially increased and was associated with poorer mental health during 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 exercise, sedentary lifestyle, Sedentary behavior, sitting Identifier An unambiguous reference to the resource within a given context 10.1093/tbm/ibaa095 Source A related resource from which the described resource is derived Translational behavioral medicine https://www.socictopen.socict.org/files/original/2d22e433d3829a3c185b49601e7b0a22.pdf 3e2db354825eb6b3d931c32b2f2b088d 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 Reinforcement learning-based decision support system for COVID-19. Creator An entity primarily responsible for making the resource Regina Padmanabhan, Nader Meskin, Tamer Khattab, Mujahed Shraim, Mohammed Al-Hitmi Description An account of the resource Globally, informed decision on the most effective set of restrictions for the containment of COVID-19 has been the subject of intense debates. There is a significant need for a structured dynamic framework to model and evaluate different intervention scenarios and how they perform under different national characteristics and constraints. This work proposes a novel optimal decision support framework capable of incorporating different interventions to minimize the impact of widely spread respiratory infectious pandemics, including the recent COVID-19, by taking into account the pandemic's characteristics, the healthcare system parameters, and the socio-economic aspects of the community. The theoretical framework underpinning this work involves the use of a reinforcement learning-based agent to derive constrained optimal policies for tuning a closed-loop control model of the disease transmission dynamics. 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, Optimal control, reinforcement learning, Active intervention, Differential disease severity Identifier An unambiguous reference to the resource within a given context 10.1016/j.bspc.2021.102676 Source A related resource from which the described resource is derived Biomedical signal processing and control