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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>COVID-19 and international primary care systems: Rebuilding a stronger primary care</text>
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                <text>Luke N Allen, Hajira Dambha-Miller</text>
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                <text>2020</text>
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                <text>international, Service organisation</text>
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                <text>10.3399/bjgpopen20X101130</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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            <name>Coverage</name>
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                <text>Medicine (General)</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <description>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.</description>
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        <name>Dublin Core</name>
        <description>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/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Angiotensin II receptor blocker or angiotensin-converting enzyme inhibitor use and COVID-19-related outcomes among US Veterans.</text>
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                <text>Catherine G Derington, Jordana B Cohen, April F Mohanty, Tom H Greene, James Cook, Jian Ying, Guo Wei, Jennifer S Herrick, Vanessa W Stevens, Barbara E Jones, Libo Wang, Alexander R Zheutlin, Andrew M South, Thomas C Hanff, Steven M Smith, Rhonda M Cooper-DeHoff, Jordan B King, G Caleb Alexander, Dan R Berlowitz, Faraz S Ahmad, M Jason Penrod, Rachel Hess, Molly B Conroy, James C Fang, Michael A Rubin, Srinivasan Beddhu, Alfred K Cheung, Weiming Xian, William S Weintraub, Adam P Bress</text>
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                <text>BackgroundAngiotensin II receptor blockers (ARBs) and angiotensin-converting enzyme inhibitors (ACEIs) may positively or negatively impact outcomes in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We investigated the association of ARB or ACEI use with coronavirus disease 2019 (COVID-19)-related outcomes in US Veterans with treated hypertension using an active comparator design, appropriate covariate adjustment, and negative control analyses.Methods and findingsIn this retrospective cohort study of Veterans with treated hypertension in the Veterans Health Administration (01/19/2020-08/28/2020), we compared users of (A) ARB/ACEI vs. non-ARB/ACEI (excluding Veterans with compelling indications to reduce confounding by indication) and (B) ARB vs. ACEI among (1) SARS-CoV-2+ outpatients and (2) COVID-19 hospitalized inpatients. The primary outcome was all-cause hospitalization or mortality (outpatients) and all-cause mortality (inpatients). We estimated hazard ratios (HR) using propensity score-weighted Cox regression. Baseline characteristics were well-balanced between exposure groups after weighting. Among outpatients, there were 5.0 and 6.0 primary outcomes per 100 person-months for ARB/ACEI (n = 2,482) vs. non-ARB/ACEI (n = 2,487) users (HR 0.85, 95% confidence interval [CI] 0.73-0.99, median follow-up 87 days). Among outpatients who were ARB (n = 4,877) vs. ACEI (n = 8,704) users, there were 13.2 and 14.8 primary outcomes per 100 person-months (HR 0.91, 95%CI 0.86-0.97, median follow-up 85 days). Among inpatients who were ARB/ACEI (n = 210) vs. non-ARB/ACEI (n = 275) users, there were 3.4 and 2.0 all-cause deaths per 100 person months (HR 1.25, 95%CI 0.30-5.13, median follow-up 30 days). Among inpatients, ARB (n = 1,164) and ACEI (n = 2,014) users had 21.0 vs. 17.7 all-cause deaths, per 100 person-months (HR 1.13, 95%CI 0.93-1.38, median follow-up 30 days).ConclusionsThis observational analysis supports continued ARB or ACEI use for patients already using these medications before SARS-CoV-2 infection. The novel beneficial association observed among outpatients between users of ARBs vs. ACEIs on hospitalization or mortality should be confirmed with randomized trials.</text>
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                <text>2021</text>
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                <text>10.1371/journal.pone.0248080</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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              <name>Title</name>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>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.</description>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Immune dysregulation and autoreactivity correlate with disease severity in SARS-CoV-2-associated multisystem inflammatory syndrome in children.</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Anjali Ramaswamy, Nina N Brodsky, Tomokazu S Sumida, Michela Comi, Hiromitsu Asashima, Kenneth B Hoehn, Ningshan Li, Yunqing Liu, Aagam Shah, Neal G Ravindra, Jason Bishai, Alamzeb Khan, William Lau, Brian Sellers, Neha Bansal, Pamela Guerrerio, Avraham Unterman, Victoria Habet, Andrew J Rice, Jason Catanzaro, Harsha Chandnani, Merrick Lopez, Naftali Kaminski, Charles S Dela Cruz, John S Tsang, Zuoheng Wang, Xiting Yan, Steven H Kleinstein, David van Dijk, Richard W Pierce, David A Hafler, Carrie L Lucas</text>
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            <description>An account of the resource</description>
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                <text>Multisystem inflammatory syndrome in children (MIS-C) is a life-threatening post-infectious complication occurring unpredictably weeks after mild or asymptomatic SARS-CoV-2 infection. We profiled MIS-C, adult COVID-19, and healthy pediatric and adult individuals using single-cell RNA sequencing, flow cytometry, antigen receptor repertoire analysis, and unbiased serum proteomics, which collectively identified a signature in MIS-C patients that correlated with disease severity. Despite having no evidence of active infection, MIS-C patients had elevated S100A-family alarmins and decreased antigen presentation signatures, indicative of myeloid dysfunction. MIS-C patients showed elevated expression of cytotoxicity genes in NK and CD8+ T cells and expansion of specific IgG-expressing plasmablasts. Clinically severe MIS-C patients displayed skewed memory T cell TCR repertoires and autoimmunity characterized by endothelium-reactive IgG. The alarmin, cytotoxicity, TCR repertoire, and plasmablast signatures we defined have potential for application in the clinic to better diagnose and potentially predict disease severity early in the course of MIS-C.</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2021</text>
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            <description>The topic of the resource</description>
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                <text>inflammation, SARS-CoV-2, pediatric, MIS-C, cytotoxicity, plasmablasts, TRBV11-2, alarmins</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="57981">
                <text>10.1016/j.immuni.2021.04.003</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="57982">
                <text>Immunity</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <description>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.</description>
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        <description>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/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Supervivencia de adultos hospitalizados con COVID-19 Y remdesivir reanálisis Bayesiano y metaanálisis de dos ensayos clínicos</text>
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            <name>Creator</name>
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                <text>Manuel , Lago</text>
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                <text>INTRODUCCIÓN: entre los numerosos tratamientos evaluados contra la COVID-19, se encuentra el remdesivir, para el cual no se ha reportado efecto sobre la mortalidad. El objetivo de esta revisión es evaluar el efecto del remdesivir sobre la mortalidad en los primeros 28 días en pacientes hospitalizados por COVID-19. MÉTODOS: se efectuó una revisión en PubMed. Se seleccionaron solo los ensayos con asignación aleatoria que reportaron mortalidad a 28 días. El efecto del tratamiento se evaluó mediante un modelo bayesiano de efecto fijo y calculando la distribución posterior del riesgo relativo (RR) y el hazard ratio (HR). RESULTADOS: se encontraron dos ensayos clínicos que cumplieron los criterios de selección. La probabilidad de un RR combinado menor a 1 a favor de remdesivir para la mortalidad a 14 días fue de 98 %, con un intervalo de credibilidad de mayor densidad del 95% (ICrMD95% de 0,42-0,91) mientras que, mediante el reanálisis del estudio Adaptive COVID-19 Treatment Trial (ACTT-1) de Beigel et al., la probabilidad de un HR menor a 1 a favor de remdesivir fue de 96 %, con un ICrMD95% de 0,44-0,99. CONCLUSIONES: tanto el metaanálisis como el reanálisis bayesiano apoyan la existencia de un efecto favorable del tratamiento con remdesivir sobre la mortalidad de pacientes con neumonía por COVID-19</text>
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                <text>2020</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="57987">
                <text>Revista Argentina de Salud Pública</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Ministerio de Salud</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Public aspects of medicine, Medicine (General)</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Repression of transcription by the glucocorticoid receptor: A parsimonious model for the genomics era.</text>
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                <text>Anthony N Gerber, Robert Newton, Sarah K Sasse</text>
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            <description>An account of the resource</description>
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                <text>Glucocorticoids are potent anti-inflammatory drugs that are used to treat an extraordinary range of human disease, including COVID-19, underscoring the ongoing importance of understanding their molecular mechanisms. Early studies of GR signaling led to broad acceptance of models in which glucocorticoid receptor (GR) monomers tether repressively to inflammatory transcription factors, thus abrogating inflammatory gene expression. However, newer data challenge this core concept and present an exciting opportunity to reframe our understanding of GR signaling. Here, we present an alternate, two-part model for transcriptional repression by glucocorticoids. First, widespread GR-mediated induction of transcription results in rapid, primary repression of inflammatory gene transcription and associated enhancers through competition-based mechanisms. Second, a subset of GR-induced genes, including targets that are regulated in coordination with inflammatory transcription factors such as NF-κB, exerts secondary repressive effects on inflammatory gene expression. Within this framework, emerging data indicate the gene set regulated through the cooperative convergence of GR and NF-κB signaling is central to the broad clinical effectiveness of glucocorticoids in terminating inflammation and promoting tissue repair.</text>
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                <text>2021</text>
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            <name>Subject</name>
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                <text>inflammation, Glucocorticoid receptor, negative feedback, repression, transcriptional enhancer</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="57995">
                <text>10.1016/j.jbc.2021.100687</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="57996">
                <text>The Journal of biological chemistry</text>
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  <item itemId="6545" public="1" featured="0">
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>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.</description>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>DenseCapsNet: Detection of COVID-19 from X-ray images using a capsule neural network.</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="57998">
                <text>Hao Quan, Xiaosong Xu, Tingting Zheng, Zhi Li, Mingfang Zhao, Xiaoyu Cui</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>At present, the global pandemic as it relates to novel coronavirus pneumonia is still a very difficult situation. Due to the recent outbreak of novel coronavirus pneumonia, novel chest X-ray (CXR) images that can be used for deep learning analysis are very rare. To solve this problem, we propose a deep learning framework that integrates a convolutional neural network and a capsule network. DenseCapsNet, a new deep learning framework, is formed by the fusion of a dense convolutional network (DenseNet) and the capsule neural network (CapsNet), leveraging their respective advantages and reducing the dependence of convolutional neural networks on a large amount of data. Using 750 CXR images of lungs of healthy patients as well as those of patients with other pneumonia and novel coronavirus pneumonia, the method can obtain an accuracy of 90.7% and an F1 score of 90.9%, and the sensitivity for detecting COVID-19 can reach 96%. These results show that the deep fusion neural network DenseCapsNet has good performance in novel coronavirus pneumonia CXR radiography detection.</text>
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            <name>Date</name>
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                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>covid-19, deep learning, chest x-ray, Classification, Capsule neural network</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="58002">
                <text>10.1016/j.compbiomed.2021.104399</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="58003">
                <text>Computers in biology and medicine</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>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.</description>
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    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>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/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Comparison of effectiveness of various treatment strategies in COVID-19 patients: A Systematic Review</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="58005">
                <text>Muhammad Shehryar Hussain, Ali Haider, Usama Ahmad Yousaf, Warisha Laraib, Fatima Dildar, Hafiz Amjad Hussain</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="58006">
                <text>Background: The purpose of this study is to systematically review the effectiveness of various drugs and therapies by assessing already conducted studies on COVID-19 patients.  Methods: The eligibility criterion for this systematic review was to include the observational and experimental studies including case reports; conducted on the possible treatments of COVID-19. Only those studies were included that were written in the English language either published or unpublished from December 2019 to April 10, 2020. Quality of articles was assessed and flawed studies were excluded based on incomplete outcome data. Treatment strategies experimented on animals or those assessed through artificial intelligence were also excluded. The databases searched were PubMed, Google Scholar, Cochrane Library, and bioRxiv. The last date to search the databases was April 10, 2020.  Results: We selected 25 articles which include 12 case studies, 10 retrospective studies, one randomized controlled trial, one non-randomized Controlled trial, and one prospective observational study. Hydroxychloroquine proved to be effective in all three studies under consideration especially when it was used in a combination with azithromycin. Antivirals showed significant results in eleven out of sixteen studies. The remaining five studies showed antiviral therapy to be ineffective. Lopinavir/ritonavir did not show satisfactory results in most of the COVID-19 patients. Both of the studies regarding convalescent plasma therapy showed significant improvement in patients undergoing treatment. Two studies regarding treatment with immunoglobulins also showed good results. A study on the use of Mesenchymal stem cell transplant for treatment of COVID-19 patients also proved to be effective. Likewise, a study on the use of Traditional Chinese Medicine along with Western Medicine also showed good results. In patients of organ transplant, withdrawal of immunosuppressive drugs, and the use of methylprednisolone along with antivirals had shown significantly good results. Among all these therapeutic approaches we found convalescent plasma therapy to be most effective.  Conclusion: So far, a small number of studies have been conducted on the treatment of COVID-19 patients and most of them were conducted on the Chinese population. More randomized controlled trials are needed to evaluate the effectiveness of different treatment strategies at a broader level.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="58007">
                <text>2020</text>
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            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="58008">
                <text>lopinavir/ritonavir, SARS-CoV-2, Remdesivir, Convalescent plasma therapy, COVID-19 treatment, Hydroxychloroquine and azithromycin</text>
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            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="58009">
                <text>10.37939/jrmc.v24iSupp-1.1431</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="58010">
                <text>Journal of Rawalpindi Medical College</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="58011">
                <text>Rawalpindi Medical University</text>
              </elementText>
            </elementTextContainer>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="58012">
                <text>Medicine</text>
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  <item itemId="6547" public="1" featured="0">
    <fileContainer>
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        <src>https://www.socictopen.socict.org/files/original/14404783a957b3c60e5b66663cd9374e.pdf</src>
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          <name>Dublin Core</name>
          <description>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/.</description>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
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    <itemType itemTypeId="1">
      <name>Text</name>
      <description>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.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>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/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58013">
                <text>How Will the COVID-19 Pandemic Affect the Future of Urban Life? Early Evidence from Highly-Educated Respondents in the United States</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58014">
                <text>Deborah Salon, Matthew  Wigginton Conway, Denise  Capasso  da Silva, Laura Mirtich</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="58015">
                <text>Attitudes and habits are extremely resistant to change, but a disruption of the magnitude of the COVID-19 pandemic has the potential to bring long-term, massive societal changes. During the pandemic, people are being compelled to experience new ways of interacting, working, learning, shopping, traveling, and eating meals. Going forward, a critical question is whether these experiences will result in changed behaviors and preferences in the long term. This paper presents initial findings on the likelihood of long-term changes in telework, daily travel, restaurant patronage, and air travel based on survey data collected from adults in the United States in Spring 2020. These data suggest that a sizable fraction of the increase in telework and decreases in both business air travel and restaurant patronage are likely here to stay. As for daily travel modes, public transit may not fully recover its pre-pandemic ridership levels, but many of our respondents are planning to bike and walk more than they used to. These data reflect the responses of a sample that is higher income and more highly educated than the US population. The response of these particular groups to the COVID-19 pandemic is perhaps especially important to understand, however, because their consumption patterns give them a large influence on many sectors of the economy.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="58016">
                <text>2020</text>
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            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58017">
                <text>covid-19, teleworking, future of transport</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="58018">
                <text>10.3390/urbansci4040050</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="58019">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="58020">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="58021">
                <text>Geography. Anthropology. Recreation, Social Sciences</text>
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            </elementTextContainer>
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  <item itemId="6548" public="1" featured="0">
    <fileContainer>
      <file fileId="6548">
        <src>https://www.socictopen.socict.org/files/original/e15130a0175ace225f901030e35233bd.pdf</src>
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          <name>Dublin Core</name>
          <description>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/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
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    <itemType itemTypeId="1">
      <name>Text</name>
      <description>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.</description>
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    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>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/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58022">
                <text>The impact of the COVID-19 pandemic on the utilization of emergency department services for the treatment of injuries.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58023">
                <text>Katherine J Harmon, Mike Dolan Fliss, Stephen W Marshall, Kathy Peticolas, Scott K Proescholdbell, Anna E Waller</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58024">
                <text>The global COVID-19 pandemic has had a major impact on the utilization of healthcare services; however, the impact on population-level emergency department (ED) utilization patterns for the treatment of acute injuries has not been fully characterized. This study examined the frequency of North Carolina (NC) EDs visits for selected injury mechanisms during the first eleven months of the COVID-19 pandemic. Data were obtained from the NC Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT), NC's legislatively mandated statewide syndromic surveillance system for the years 2019 and 2020. Frequencies of January - November 2020 NC ED visits were compared to frequencies of 2019 visits for selected injury mechanisms, classified according to International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) injury diagnosis and mechanism codes. In 2020, the total number of injury-related visits declined by 19.5% (N = 651,158) as compared to 2019 (N = 809,095). Visits related to motor vehicle traffic crashes declined by a greater percentage (29%) and falls (19%) declined by a comparable percentage to total injury-related visits. Visits related to assault (15%) and self-harm (10%) declined by smaller percentages. Medication/drug overdose visits increased (10%), the only injury mechanism studied to increase during this period. Both ED avoidance and decreased exposures may have contributed to these declines, creating implications for injury morbidity and mortality. Injury outcomes exacerbated by the pandemic should be addressed by timely public health responses.</text>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58025">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58026">
                <text>covid-19, emergency medicine, Injury, Sentinel surveillance</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="58027">
                <text>10.1016/j.ajem.2021.04.019</text>
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            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="58028">
                <text>The American journal of emergency medicine</text>
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  <item itemId="6549" public="1" featured="0">
    <fileContainer>
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        <src>https://www.socictopen.socict.org/files/original/9a656f3320620849b034b6ccecdc365d.pdf</src>
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          <name>Dublin Core</name>
          <description>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/.</description>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
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      <name>Text</name>
      <description>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.</description>
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        <name>Dublin Core</name>
        <description>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/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58029">
                <text>The Effect of Communication and Policy-Making to Teacher’s Performance on Strategic Madrasah Leadership during Pandemic Covid-19</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58030">
                <text>Ahmadi, Ahmad Romadlon</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="58031">
                <text>Communication and policy making can either increase or decrease performances. This study aims to measure whether communication and policy making have impacts on teachers’ performance. This research is a quantitative study using proportional random sampling technique. The research data were obtained through a questionnaire and were then analyzed by the t-test and multiple linear regression analysis. The research results showed that both communication and policy-making styles had a significant impact on teachers’ performance, and simultaneously the communication style and policy-making style had an impact on teacher performance by 71.1%. Thus, the strategic leadership of madrasa principals at the Islamic Elementary School level should be taken into account to formulate differentiation and diversification strategies of communication policies, especially during the Covid-19 pandemic.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58032">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58033">
                <text>assessment, communication skills, Elementary School Students</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="58034">
                <text>10.24235/al.ibtida.snj.v7i2.6817</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="58035">
                <text>Al Ibtida: Jurnal Pendidikan Guru MI</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="58036">
                <text>Institut Agama Islam Negeri (IAIN) Syekh Nurjati Cirebon</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="58037">
                <text>Education (General)</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
  </item>
</itemContainer>
