958 10 20655 https://www.socictopen.socict.org/files/original/1357bd7c49ac6d7f2ae125302f1d9549.pdf 17adfcb84cf4ee69cf15cc9a24bd2ec5 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 [Parsonage-Turner syndrome post-infection by SARS-CoV-2: A Case Report]. Creator An entity primarily responsible for making the resource Martha Alvarado, Yiyang Lin-Miao, Mariola Carrillo-Arolas 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 10.1016/j.nrl.2021.04.008 Source A related resource from which the described resource is derived Neurologia (Barcelona, Spain) https://www.socictopen.socict.org/files/original/e4cf0bda7df959530cbc0e575056567d.pdf b5bdd19ae2352f129454f6e271310f46 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 Pediatric Subspecialty Adoption of Telemedicine Amidst the COVID-19 Pandemic: An Early Descriptive Analysis Creator An entity primarily responsible for making the resource James Xie, James Xie, Priya Prahalad, Priya Prahalad, Tzielan C. Lee, Tzielan C. Lee, Lindsay A. Stevens, Lindsay A. Stevens, Kara D. Meister Description An account of the resource Telemedicine has rapidly expanded in many aspects of pediatric care as a result of the COVID-19 pandemic. However, little is known about what factors may make pediatric subspeciality care more apt to long-term adoption of telemedicine. To better delineate the potential patient, provider, and subspecialty factors which may influence subspecialty adoption of telemedicine, we reviewed our institutional experience. The top 36 pediatric subspecialties at Stanford Children's Health were classified into high telemedicine adopters, low telemedicine adopters, and telemedicine reverters. Distance from the patient's home, primary language, insurance type, institutional factors such as wait times, and subspecialty-specific clinical differences correlated with differing patterns of telemedicine adoption. With greater awareness of these factors, institutions and providers can better guide patients in determining which care may be best suited for telemedicine and develop sustainable long-term telemedicine programming. 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, telemedicine, telehealth, pediatric, Access, sub-specialty Identifier An unambiguous reference to the resource within a given context 10.3389/fped.2021.648631 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 Pediatrics https://www.socictopen.socict.org/files/original/f54880cca452de8862e2fc8c48126175.pdf 7c196b46ba747314587d6c5a6acc8cce 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 U-survival for prognostic prediction of disease progression and mortality of patients with COVID-19 Creator An entity primarily responsible for making the resource Janne J. Näppi, Tomoki Uemura, Chinatsu Watari, Toru Hironaka, Tohru Kamiya, Hiroyuki Yoshida Description An account of the resource Abstract The rapid increase of patients with coronavirus disease 2019 (COVID-19) has introduced major challenges to healthcare services worldwide. Therefore, fast and accurate clinical assessment of COVID-19 progression and mortality is vital for the management of COVID-19 patients. We developed an automated image-based survival prediction model, called U-survival, which combines deep learning of chest CT images with the established survival analysis methodology of an elastic-net Cox survival model. In an evaluation of 383 COVID-19 positive patients from two hospitals, the prognostic bootstrap prediction performance of U-survival was significantly higher (P  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/s41598-021-88591-z 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/a498da0e3a88962d29ae816f5992444a.pdf fe3d208812628eb00397e2e8a5bcf71e 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 Selective Vagus Nerve Stimulation as a Therapeutic Approach for the Treatment of ARDS: A Rationale for Neuro-Immunomodulation in COVID-19 Disease Creator An entity primarily responsible for making the resource Svetlana Mastitskaya, Nicole Thompson, David Holder Description An account of the resource Acute respiratory distress syndrome (ARDS) is the most severe form of acute lung injury. It is induced by sepsis, aspiration, and pneumonia, including that caused by SARS coronavirus and human influenza viruses. The main pathophysiological mechanism of ARDS is a systemic inflammatory response. Vagus nerve stimulation (VNS) can limit cytokine production in the spleen and thereby dampen any systemic inflammation and inflammation-induced tissue damage in the lungs and other organs. However, the effects of increased parasympathetic outflow to the lungs when non-selective VNS is applied may result in bronchoconstriction, increased mucus secretion and enhance local pulmonary inflammatory activity; this may outweigh the beneficial systemic anti-inflammatory action of VNS. Organ/function-specific therapy can be achieved by imaging of localized fascicle activity within the vagus nerve and selective stimulation of identified organ-specific fascicles. This may be able to provide selective neuromodulation of different pathways within the vagus nerve and offer a novel means to improve outcome in ARDS. This has motivated this review in which we discuss the mechanisms of anti-inflammatory effects of VNS, progress in selective VNS techniques, and a possible application for ARDS. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource inflammation, covid-19, ARDS, cytokine storm, vagus nerve, Neuromodulation Identifier An unambiguous reference to the resource within a given context 10.3389/fnins.2021.667036 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 Neurosciences. Biological psychiatry. Neuropsychiatry https://www.socictopen.socict.org/files/original/c90eef410b87c4d70d61e4504603f418.pdf e38e29424bf673901661b93fbbf0546d 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 Addressing the COVID-19 Mental Health Crisis: A Perspective on Using Interdisciplinary Universal Interventions Creator An entity primarily responsible for making the resource Geraldine Przybylko, Darren Peter Morton, Melanie Elise Renfrew Description An account of the resource Mental health is reaching a crisis point due to the ramifications of COVID-19. In an attempt to curb the spread of the virus and circumvent health systems from being overwhelmed, governments have imposed regulations such as lockdown restrictions and home confinement. These restrictions, while effective for infection control, have contributed to poorer lifestyle behaviors. Currently, Positive Psychology and Lifestyle Medicine are two distinct but complimentary disciplines that offer an array of evidence-based approaches for promoting mental health and well-being across a universal population. However, these strategies for improving mental health are typically used in isolation. This perspective calls for a new paradigm shift to create and rollout well-designed interdisciplinary universal multicomponent mental health interventions that integrates the benefits of both disciplines, and uses innovative digital mental health solutions to achieve scalability and accessibility within the limitations and beyond the COVID-19 lockdown and restrictions. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource mental health, digital, positive psychology, lifestyle medicine, universal, multicomponent Identifier An unambiguous reference to the resource within a given context 10.3389/fpsyg.2021.644337 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 Psychology https://www.socictopen.socict.org/files/original/c17b0b7a2c0c3ff426c9c60279f2db3d.pdf f2a28a64690575f1a73175b7b3c8399d 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 Warm Autoimmune Hemolytic Anemia Associated With Asymptomatic SARS-CoV-2 Infection. Creator An entity primarily responsible for making the resource Joseph R Liput, Kim Jordan, Rini Patadia, Elizabeth Kander Description An account of the resource Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the resultant coronavirus disease 2019 (COVID-19) are associated with several hematologic abnormalities, including immune thrombocytopenia, antiphospholipid syndrome, and autoimmune hemolytic anemia (AIHA). Initial case reports suggested immune dysregulation to be the underlying etiology of SARS-CoV-2-associated AIHA, as all reported cases involved patients with moderate to severe COVID-19, many of whom had underlying lymphoproliferative disorders. More recently, AIHA has been reported in patients with mildly symptomatic SARS-CoV-2 infection. Here, we detail a patient with asymptomatic SARS-CoV-2 infection who presented with severe, symptomatic anemia. Workup was consistent with warm autoimmune hemolytic anemia (WAIHA) secondary to SARS-CoV-2 infection. 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 disease 2019 (covid-19), severe acute respiratory syndrome coronavirus 2 (sars-cov-2), Anemia, warm auto-immune hemolytic anemia Identifier An unambiguous reference to the resource within a given context 10.7759/cureus.14101 Source A related resource from which the described resource is derived Cureus https://www.socictopen.socict.org/files/original/b6305808e06ca5620e58181334b1d293.pdf 9015d21963956bdc5fb4b8678b757d11 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 and the kidney: A retrospective analysis of 37 critically ill patients using machine learning. Creator An entity primarily responsible for making the resource Anna Laura Herzog, Holger K von Jouanne-Diedrich, Christoph Wanner, Dirk Weismann, Tobias Schlesinger, Patrick Meybohm, Jan Stumpner Description An account of the resource There is evidence that SARS-CoV2 has a particular affinity for kidney tissue and is often associated with kidney failure. We assessed whether proteinuria can be predictive of kidney failure, the development of chronic kidney disease, and mortality in 37 critically ill COVID-19 patients. We used machine learning (ML) methods as decision trees and cut-off points created by the OneR package to add new aspects, even in smaller cohorts. Among a total of 37 patients, 24 suffered higher-grade renal failure, 20 of whom required kidney replacement therapy. More than 40% of patients remained on hemodialysis after intensive care unit discharge or died (27%). Due to frequent anuria proteinuria measured in two-thirds of the patients, it was not predictive for the investigated endpoints; albuminuria was higher in patients with AKI 3, but the difference was not significant. ML found cut-off points of >31.4 kg/m2 for BMI and >69 years for age, constructed decision trees with great accuracy, and identified highly predictive variables for outcome and remaining chronic kidney disease. Different ML methods and their clinical application, especially decision trees, can provide valuable support for clinical decisions. Presence of proteinuria was not predictive of CKD or AKI and should be confirmed in a larger cohort. 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 10.1371/journal.pone.0251932 Source A related resource from which the described resource is derived PloS one https://www.socictopen.socict.org/files/original/88fd42b45f61a6d917c14223663fa060.pdf d0ced6dd6e1dc77ced4c9f4cff131cb4 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 Physical Activity Among Predominantly White Middle-Aged and Older US Adults During the SARS-CoV-2 Pandemic: Results From a National Longitudinal Survey Creator An entity primarily responsible for making the resource Rodney P. Joseph, Keenan A. Pituch, M. Aaron Guest, Molly Maxfield, Allie Peckham, David W. Coon, Wonsun Kim, Shelby L. Langer Description An account of the resource Background: The first COVID-19 case in the US was diagnosed late January 2020. In the subsequent months, cases grew exponentially. By March 2020, SARS-CoV-2 (the novel coronavirus that causes COVID-19) was a global pandemic and the US declared a national emergency. To mitigate transmission, federal guidelines were established for social and physical distancing. These events disrupted daily routines of individuals around the world, including Americans. The impact of the pandemic on PA patterns of Americans is largely unknown, especially among those at greater risk for severe COVID-19 outcomes. The aim of this study was to assess levels of PA over time during the pandemic among US adults aged >50 years.Methods: Data were collected as part of a web-based, longitudinal, 3-wave study examining health and well-being among adults aged > 50. PA data were collected at Waves 2 and 3 using the International Physical Activity Questionnaire-Short Form (IPAQ-SF). At Wave 2 (conducted mid-May to early June, 2020), participants completed the IPAQ-SF twice, once in reference to a typical 7-day period before the pandemic, and again in reference to the past 7 days. At Wave 3 (conducted mid-June to early July 2020), participants completed the IPAQ-SF once, with reference to the past 7 days. Potential predictors of PA change were collected using items from previously established surveys and included demographic characteristics, pre-pandemic PA levels, perceived COVID-19 threat, self-rated general health, and number of chronic disease conditions.Results: Respondents (N = 589) had a mean age of 63 ± 7.39 years and were mostly female (88%) and non-Hispanic White (96%). Mean MET-min/week across the three time-referents were 2,904 (pre-pandemic), 1,682 (Wave 2 past 7-days), and 2,001 (Wave 3 past 7-days), with PA declining between the first and second time referents (d = −0.45, p < 0.001) and remaining below pre-pandemic levels at the third (d = −0.34, p < 0.001). Changes over time were predicted by pre-pandemic PA and self-rated general health (p's < .05).Conclusions: Effective strategies are needed to promote safe and socially-distanced PA among adults aged >50 years until the risk of contracting COVID-19 subsides. In the post-pandemic era, PA programming will be imperative to address pandemic-associated declines in PA. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource United States, covid-19, physical activity, exercise, older adults Identifier An unambiguous reference to the resource within a given context 10.3389/fpubh.2021.652197 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 Public aspects of medicine https://www.socictopen.socict.org/files/original/7ca6cfe46de97c488f18ab501c025bc2.pdf 56562c0adfa434cc8a9e781c3b57da29 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 Managing a Department of Obstetrics and Gynecology in Times of COVID-19 Outbreak: The Foch Hospital Experience Creator An entity primarily responsible for making the resource Rouba Murtada, Marie Carbonnel, Aurélie Revaux, Angeline Favre-Inhofer, Jean-Marc Ayoubi Description An account of the resource Departments of Gynecology and Obstetrics, as other departments, were faced with a major challenge at the outbreak of the COVID-19 pandemic. Fast restructuring was necessary in order to provide the means for COVID-related care. In this article we share our 1-year experience in reshaping our activities, managing healthcare workers and securing a pathway for pregnant patients, including potential, and confirmed COVID-19 cases. Priorities were set on ensuring patients' and healthcare workers' safety. Key containment measures included facemasks, systematic screening, dedicated spaces for COVID-19 cases with reinforced measures and vaccination campaign. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource healthcare worker, covid-19, facemask, Vaccination, patient safety, reorganization Identifier An unambiguous reference to the resource within a given context 10.3389/fsurg.2021.564145 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 Surgery https://www.socictopen.socict.org/files/original/8d43f63251c458db92826eaa706f2c33.pdf f5f5bb8d67d2fe5cdd30cd2f87b06eb6 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 Models to inform neutralizing antibody therapy strategies during pandemics: the case of SARS-CoV-2. Creator An entity primarily responsible for making the resource Donovan Guttieres, Anthony J. Sinskey, Stacy L. Springs Description An account of the resource Neutralizing antibodies (nAbs) against SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) can play an important role in reducing impacts of the COVID-19 pandemic, complementing ongoing public health efforts such as diagnostics and vaccination. Rapidly designing, manufacturing and distributing nAbs requires significant planning across the product value chain and an understanding of the opportunities, challenges and risks throughout. A systems framework comprised of four critical components is presented to aid in developing effective end-to-end nAbs strategies in the context of a pandemic: (1) product design and optimization, (2) epidemiology, (3) demand and (4) supply. Quantitative models are used to estimate product demand using available epidemiological data, simulate biomanufacturing operations from typical bioprocess parameters and calculate antibody production costs to meet clinical needs under various realistic scenarios. In a US-based case study during the 9-month period from March 15 to December 15, 2020, the projected number of SARS-CoV-2 infections was 15.73 million. The estimated product volume needed to meet therapeutic demand for the maximum number of clinically eligible patients ranged between 6.3 and 31.5 tons for 0.5 and 2.5 g dose sizes, respectively. The relative production scale and cost needed to meet demand are calculated for different centralized and distributed manufacturing scenarios. Meeting demand for anti-SARS-CoV-2 nAbs requires significant manufacturing capacity and planning for appropriate administration in clinical settings. MIT Center for Biomedical Innovation's data-driven tools presented can help inform time-critical decisions by providing insight into important operational and policy considerations for making nAbs broadly accessible, while considering time and resource constraints. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource epidemiology, neutralizing antibodies, pandemic response, Product design, biomanufacturing Identifier An unambiguous reference to the resource within a given context 10.1093/abt/tbab006 Source A related resource from which the described resource is derived Antibody therapeutics