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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Prevalence of Antibodies to SARS-CoV-2 in Italian Adults and Associated Risk Factors</text>
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                <text>Antonio Vena, Marco Berruti, Andrea Adessi, Pietro Blumetti, Michele Brignole, Renato Colognato, Germano Gaggioli, Daniele  Roberto Giacobbe, Luisa Bracci-Laudiero, Laura Magnasco, Alessio Signori, Lucia Taramasso, Marco Varelli, Nicoletta Vendola, Lorenzo Ball, Chiara Robba, Denise Battaglini, Iole Brunetti, Paolo Pelosi, Matteo Bassetti</text>
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                <text>We aimed to assess the prevalence of and factors associated with anti- severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) positivity in a large population of adult volunteers from five administrative departments of the Liguria and Lombardia regions. A total of 3609 individuals were included in this analysis. Participants were tested for anti-SARS-CoV-2 antibodies [Immunoglobulin G (IgG) and M (IgM) class antibodies] at three private laboratories (Istituto Diganostico Varelli, Medical Center, and Casa della Salute di Genova). Demographic data, occupational or private exposure to SARS-CoV-2-infected patients, and prior medical history consistent with SARS-CoV-2 infection were collected according to a preplanned analysis. The overall seroprevalence of anti-SARS-CoV-2 antibodies (IgG and/or IgM) was 11.0% [398/3609; confidence interval (CI) 10.0%–12.1%]. Seroprevalence was higher in female inmates than in male inmates (12.5% vs. 9.2%, respectively, p = 0.002), with the highest rate observed among adults aged &gt;55 years (13.2%). A generalized estimating equations model showed that the main risk factors associated with SARS-CoV-2 seroprevalence were the following: an occupational exposure to the virus [Odd ratio (OR) = 2.36; 95% CI 1.59–3.50, p = 0.001], being a long-term care facility resident (OR = 4.53; 95% CI 3.19–6.45, p = 0.001), and reporting previous symptoms of influenza-like illness (OR = 4.86; 95% CI 3.75–6.30, p = 0.001) or loss of sense of smell or taste (OR = 41.00; 95% CI 18.94–88.71, p = 0.001). In conclusion, we found a high prevalence (11.0%) of SARS-CoV-2 infection that is significantly associated with residing in long-term care facilities or occupational exposure to the virus. These findings warrant further investigation into SARS-CoV-2 antibody prevalence among the Italian population.</text>
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                <text>2020</text>
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                <text>covid-19, antibodies, SARS-CoV-2, Serological test</text>
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                <text>10.3390/jcm9092780</text>
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                <text>Korean Society of Epidemiology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Incidence and Persistence of Viral Shedding in COVID-19 Post-acute Patients With Negativized Pharyngeal Swab: A Systematic Review</text>
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                <text>Giovanni Morone, Angela Palomba, Marco Iosa, Teodorico Caporaso, Domenico De Angelis, Vincenzo Venturiero, Anna Savo, Paola Coiro, Dario Carbone, Francesca Gimigliano, Giovanni Iolascon, Stefano Paolucci</text>
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                <text>After the global spread of a severe acute respiratory syndrome caused by a coronavirus (SARS-CoV-2), factors that influence viral diffusion have gained great attention. Human-to-human transmission mainly occurs through droplets, but viral RNA clearance in different biological fluids in coronavirus disease 2019 (COVID-19) remains unclear. We aimed to correlate the presence and the relevant temporal patterns of SARS-CoV-2 viral RNA in biological specimens (stool, urine, blood, and tears) of the transmission with clinical/epidemiological features in patients with COVID-19. We focused on the time window between the positivity of reverse transcriptase-polymerase chain reaction (RT-PCR) tests from different specimens. We used the Mantel–Cox log rank test to verify the differences in terms of viral shedding duration, while we employed the Mann–Whitney U-test for subgroup analysis. This review protocol was registered with PROSPERO number: CRD42020183629. We identified 147 studies; we included 55 (1,348 patients) for epidemiological analysis, of which we included 37 (364 patients) for statistical analysis. The most frequently used specimens other than respiratory tract swabs were stool samples (or anal/rectal swabs), with a positivity rate of 48.8%, followed by urine samples, with a positivity rate of 16.4%; blood samples showed a positivity rate of 17.5%. We found that fecal positivity duration (median 19 days) was significantly (p &amp;lt; 0.001) longer than respiratory tract positivity (median 14 days). Limited data are available about the other specimens. In conclusion, medical and social communities must pay close attention to negativization criteria for COVID-19, because patients could have longer alternative viral shedding.</text>
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                <text>2020</text>
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                <text>covid-19, SARS-CoV-2, viral shedding, stool, post-acute phase</text>
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                <text>10.3389/fmed.2020.00562</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>
            <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>Medicine (General)</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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            <description>A name given to the resource</description>
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                <text>En tiempo de crisis</text>
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                <text>Ana Lucía González G.</text>
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          <element elementId="41">
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            <description>An account of the resource</description>
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                <text>Hoy en el mundo tenemos un acontecimiento que roba la atención de todos: coronavirus, y aunque resulta triste su connotación: confinamiento, cuarentena, muerte, sin lugar a dudas este virus ha dejado al descubierto una vorágine de sentimientos y actitudes que el ser humano o se resiste a mostrar o las pasa inadvertidas.</text>
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                <text>2020</text>
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            <name>Identifier</name>
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                <text>10.21501/23461780.3576</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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            <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>Doctrinal Theology, Practical Theology</text>
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  <item itemId="5263" public="1" featured="0">
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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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                <text>Efficacy of Corticosteroids in Patients with SARS, MERS and COVID-19: A Systematic Review and Meta-Analysis</text>
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                <text>Andreas Kronbichler, Lee Smith, Young  Joo Han, Ai Koyanagi, Louis Jacob, Gwang  Hun Jeong, Marco Solmi, Joaquim Radua, Keum  Hwa Lee, Jae  Il Shin, Jong  Yeob Kim, Sarah Cargnin, Salvatore Terrazzino, Jinhee Lee, Elena Dragioti, Jae  Seok Kim, Jae  Won Yang, Jun  Young Lee, Kalthoum Tizaoui, Sojung Yoon, Sung  Hwi Hong, Seohyun Ryu, Hans Oh, Ramy  Abou Ghayda</text>
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                <text>(1) Background: The use of corticosteroids in critical coronavirus infections, including severe acute respiratory syndrome (SARS), Middle East Respiratory Syndrome (MERS), or Coronavirus disease 2019 (COVID-19), has been controversial. However, a meta-analysis on the efficacy of steroids in treating these coronavirus infections is lacking. (2) Purpose: We assessed a methodological criticism on the quality of previous published meta-analyses and the risk of misleading conclusions with important therapeutic consequences. We also examined the evidence of the efficacy of corticosteroids in reducing mortality in SARS, MERS and COVID-19. (3) Methods: PubMed, MEDLINE, Embase, and Web of Science were used to identify studies published until 25 April 2020, that reported associations between steroid use and mortality in treating SARS/MERS/COVID-19. Two investigators screened and extracted data independently. Searches were restricted to studies on humans, and articles that did not report the exact number of patients in each group or data on mortality were excluded. We calculated odds ratios (ORs) or hazard ratios (HRs) under the fixed- and random-effect model. (4) Results: Eight articles (4051 patients) were eligible for inclusion. Among these selected studies, 3416 patients were diagnosed with SARS, 360 patients with MERS, and 275 with COVID-19; 60.3% patients were administered steroids. The meta-analyses including all studies showed no differences overall in terms of mortality (OR 1.152, 95% CI 0.631–2.101 in the random effects model, p = 0.645). However, this conclusion might be biased, because, in some studies, the patients in the steroid group had more severe symptoms than those in the control group. In contrast, when the meta-analysis was performed restricting only to studies that used appropriate adjustment (e.g., time, disease severity), there was a significant difference between the two groups (HR 0.378, 95% CI 0.221–0.646 in the random effects model, p &lt; 0.0001). Although there was no difference in mortality when steroids were used in severe cases, there was a difference among the group with more underlying diseases (OR 3.133, 95% CI 1.670–5.877, p &lt; 0.001). (5) Conclusions: To our knowledge, this study is the first comprehensive systematic review and meta-analysis providing the most accurate evidence on the effect of steroids in coronavirus infections. If not contraindicated, and in the absence of side effects, the use of steroids should be considered in coronavirus infection including COVID-19.</text>
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                <text>2020</text>
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                <text>coronavirus, severe acute respiratory syndrome (SARS), Middle East Respiratory Syndrome (MERS), corticosteroids, coronavirus disease 2019 (covid-19)</text>
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                <text>10.3390/jcm9082392</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Medicine</text>
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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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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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        <name>Dublin Core</name>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Identify the Risk Factors of COVID-19-Related Acute Kidney Injury: A Single-Center, Retrospective Cohort Study</text>
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                <text>Yunpeng Zhu, Jing Wang, Zhixian Wang, Haichao Li, Xiaoning Yuan, Xiaoning Wang, Yuxi Wang, Jinqian Hu, Chunxiang Feng, Chang Liu, Chang Liu, Shiliang Liu, Kai Yu, Xing Li, Xiaoyong Zeng</text>
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                <text>Background: The kidney is a target organ that could be infected by SARS-CoV-2, and acute kidney injury (AKI) was associated with a higher risk of COVID-19 patients' in-hospital death. However, no published works discussed about the risk factors of COVID-19 related AKI.Methods: We conducted a retrospective cohort study, recruiting COVID-19 inpatients from the Sino-French branch of Tongji Hospital. Demographic, clinical, treatment, and laboratory data were collected and compared. We used univariable and multivariable logistic regression methods to identify the risk factors of COVID-19-related AKI.Results: Of the 116 patients in our study, 12 (10.3%) were recognized as AKI, including 5 (4.3%) in-hospital AKI. Multivariable regression showed increasing odds of COVID-19-related AKI associated with COVID-19 clinical classification (OR = 8.155, 95% CI = 1.848–35.983, ref = non-critical, p = 0.06), procalcitonin more than 0.1 ng/mL (OR = 4.822, 95% CI = 1.095–21.228, p = 0.037), and estimated glomerular filtration rate (eGFR) &amp;lt;60 mL/min/1.73 m2 (OR = 13.451, 95% CI = 1.617–111.891, p = 0.016).Conclusions: COVID-19-related AKI was likely to be related to multiorgan failure rather than the kidney tropism of SARS-CoV-2. The potential risk factors of COVID-19 clinical classification, procalcitonin more than 0.1 ng/mL, and eGFR &amp;lt;60 mL/min/1.73 m2 could help clinicians to identify patients with kidney injury at an early stage.</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>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>covid-19, acute kidney injury, risk factor, procalcitonin, glomerular filtration rate, Retrospective cohort study</text>
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            <name>Identifier</name>
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              <elementText elementTextId="47197">
                <text>10.3389/fmed.2020.00436</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="47199">
                <text>Korean Society of Epidemiology</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>Medicine (General)</text>
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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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              <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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        <name>Dublin Core</name>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="47201">
                <text>Compromiso social y convivencia ciudadana en tiempos de pandemia por COVID-19</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47202">
                <text>Marta Sahagún-Navarro, Yuly-Marcela  Parra-Montoya</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="47203">
                <text>La nueva enfermedad del coronavirus humano COVID-19 se ha convertido en la quinta pandemia documentada desde la pandemia de gripe de 1918 (Liu Y-C et al., 2020). También, ha sido la mayor interrupción en el movimiento de personas desde la Segunda Guerra Mundial (Newland, 2020), lo que ha conllevado a periodos extendidos de cuarentena, órdenes de cierre masivo de refugio en el hogar y negocios, que imponen serias libertades y privaciones económicas (Mello &amp; Wang, 2020), en la mayoría de los países del mundo por la enfermedad que origina. Esto ha modificado las dinámicas sociales, económicas y políticas, desde los niveles institucionales y lógicamente, en los individuos.</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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              <elementText elementTextId="47204">
                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>covid-19, editorial, compromiso social, tiempos de pandemia</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="47206">
                <text>10.21892/01239813.488</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="47207">
                <text>Búsqueda</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="47208">
                <text>Corporación Universitaria del Caribe</text>
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            </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>
            <elementTextContainer>
              <elementText elementTextId="47209">
                <text>Social sciences (General)</text>
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        <src>https://www.socictopen.socict.org/files/original/d1ac89324d59c880e9e775486c0e559a.pdf</src>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <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>
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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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        <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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              <elementText elementTextId="47210">
                <text>The economic consequences of the coronavirus pandemic: which groups will suffer more in terms of loss of employment and income?</text>
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          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47211">
                <text>Marina A. Kartseva, Polina O. Kuznetsova</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="47212">
                <text>The paper estimates the scale of the possible impact of the coronavirus epidemic on the Russian labor market and household incomes. We consider vulnerable employment, which includes workers with increased risks of job loss, wage cuts and other negative events that reduce labor incomes.        The analysis shows that every second Russian worker can be classified as vulnerable employee. The highest risks for reducing labor incomes as a result of the epidemic are faced by young people, workers with a low level of education, as well as residents of regional centers. About a third of vulnerable employees experience complex vulnerability, i.e. meet several criteria of vulnerability.        A decrease in labor incomes could also affect the wealth of about 40% of Russian households. The worst situation is for younger families, whose incomes are much more dependent on the labor market. Most of the households in which vulnerable workers live do not receive social benefits, and therefore it would be rather difficult for them to count on prompt assistance from the social protection system.        Currently Russia is actively developing a set of measures to support employment. In particular, government decided to provide support for the most affected by COVID sectors, the size of unemployment benefits has been increased for citizens who have lost their jobs due to the epidemic. However, it is obvious that this list should be extended and account for various forms of deterioration of employment.</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>
            <elementTextContainer>
              <elementText elementTextId="47213">
                <text>2020</text>
              </elementText>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="47214">
                <text>10.3897/popecon.4.e53194</text>
              </elementText>
            </elementTextContainer>
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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="47215">
                <text>Epidemiology and Health</text>
              </elementText>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="47216">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
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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="47217">
                <text>Economic theory. Demography</text>
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  <item itemId="5267" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/f26010dac2eb5d26d40cdcaf7234dec0.pdf</src>
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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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        <name>Dublin Core</name>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Genetic Diversity Among SARS-CoV2 Strains in South America may Impact Performance of Molecular Detection</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="47219">
                <text>Carolina Hernández, Juan  David Ramírez, Marina Muñoz, Carolina Flórez, Sergio Gomez, Angelica Rico, Lisseth Pardo, Esther C. Barros, Alberto E. Paniz-Mondolfi</text>
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            <description>An account of the resource</description>
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                <text>Since its emergence in Wuhan (China) on December 2019, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has rapidly spread worldwide. After its arrival in South America in February 2020, the virus has expanded throughout the region, infecting over 900,000 individuals with approximately 41,000 reported deaths to date. In response to the rapidly growing number of cases, a number of different primer-probe sets have been developed. However, despite being highly specific, most of these primer-probe sets are known to exhibit variable sensitivity. Currently, there are more than 300 SARS-CoV2 whole genome sequences deposited in databases from Brazil, Chile, Ecuador, Colombia, Uruguay, Peru, and Argentina. To test how regional viral diversity may impact oligo binding sites and affect test performance, we reviewed all available primer-probe sets targeting the E, N, and RdRp genes against available South American SARS-CoV-2 genomes checking for nucleotide variations in annealing sites. Results from this in silico analysis showed no nucleotide variations on the E-gene target region, in contrast to the N and RdRp genes which showed massive nucleotide variations within oligo binding sites. In lines with previous data, our results suggest that the E-gene stands as the most conserved and reliable target when considering single-gene target testing for molecular diagnosis of SARS-CoV-2 in South America.</text>
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                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>PCR, SARS-CoV-2, molecular diagnosis, Gene N, gene E, gene RdRp</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="47223">
                <text>10.3390/pathogens9070580</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="47224">
                <text>Biotemas</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="47225">
                <text>Universidade Federal de Santa Catarina</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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              <elementText elementTextId="47226">
                <text>Medicine</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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            <name>Title</name>
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                <text>A putative diacidic motif in the SARS-CoV ORF6 protein influences its subcellular localization and suppression of expression of co-transfected expression constructs</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Gunalan Vithiagaran, Mirazimi Ali, Tan Yee-Joo</text>
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            <description>An account of the resource</description>
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                <text>Abstract Background The ORF6 protein is one of the eight accessory proteins of the severe acute respiratory syndrome coronavirus (SARS-CoV). Numerous properties of ORF6 have been documented and this study focuses on two of these, namely, its ability to suppress the expression of co-transfected expression constructs and its subcellular localization to vesicular structures. Results Using a transient transfection system, ORF6's ability to suppress the expression of co-transfected expression constructs was measured in a quantitative manner. While ORF6 does not have a global effect on protein synthesis, quantitative real-time PCR revealed that it down-regulated the mRNA level of the co-transfected myc-nsp8 gene. Furthermore, alanine substitution of a diacidic cluster motif (aa53-56) in the ORF6 gene caused a reduction in the suppression of expression of co-transfected myc-nsp8 gene. Our previous study revealed that ORF6 localized to vesicular structures in SARS-CoV infected Vero E6 cells. Here, ORF6 was observed to be localized to similar vesicular structures in Vero E6 cells which have been transiently transfected with a mammalian expression plasmid encoding for untagged ORF6. ORF6 showed partial colocalization with cellular proteins CD63 and Lamp1, suggesting that the vesicular structures may be a subpopulation of endosomal/lysosomal vesicles. The alanine substitution of the diacidic cluster motif also altered the subcellular localization of the ORF6 protein, indicating a potential relationship between the subcellular localization of the ORF6 protein and its ability to suppress the expression of co-transfected expression constructs. Conclusions By combining quantitative real-time PCR and transient transfection system, a simple and safe method is established to measure ORF6's ability to suppress the expression of co-transfected myc-nsp8. In addition, immunofluorescence analysis revealed that the subcellular localization of ORF6 when expressed on its own is similar to that observed in SARS-CoV infected cells. Through the use of these two assays, a putative diacidic motif in the ORF6 protein was found to influence its subcellular localization and ability to suppress the expression of co-transfected expression constructs.</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="47230">
                <text>2011</text>
              </elementText>
            </elementTextContainer>
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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="47231">
                <text>10.1186/1756-0500-4-446</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="47232">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="47233">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
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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>Biology (General), Medicine, Science (General)</text>
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        <src>https://www.socictopen.socict.org/files/original/2d6cdf0eaf6e649dfd27056ee2aa1b0d.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>
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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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      <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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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Campi di esperienza o campo dell’esperienza?</text>
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            <name>Creator</name>
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              <elementText elementTextId="47236">
                <text>Danilo Russo</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Oggetto di questo articolo sono i campi d’esperienza, che già dal 1991, e ancora nelle “Indicazioni nazionali…”, articolano in forma originale l’offerta di saperi della scuola dell’infanzia italiana. Si vorrebbe mostrare che le Indicazioni sono l’esito provvisorio di una tendenza lunga e potente a didatticizzare la scuola dell’infanzia, a conformarla alle logiche valutative della scuola che segue. I campi d’esperienza, coi loro 30 anni di vita e la loro centralità, registrano in modo esemplare il procedere di questa tendenza, leggibile nelle successive declinazioni, soprattutto operative, che essi hanno via via ricevuto in testi ministeriali comparabili, fino alle Indicazioni in vigore. La provocazione linguistica del titolo allude alla torsione cui il concetto dei campi d’esperienza è sottoposto, alle aporie cui essa conduce; a un modo diverso e possibile, infine, di pensarlo e di usarlo. Chiudono, a titolo di post scriptum reso urgente dalle circostanze, alcune considerazioni ancora acerbe su come il covid-19, chiudendo le scuole come luogo fisico, strappi il velo dal quadro, e costringa problematicamente tutti a ripensare le proprie opzioni.</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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                <text>2020</text>
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                <text>indeterminazione, ambiguità, esperienza/condotte, gioco/curricolo</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.5007/1980-4512.2020v22n41p90</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Epidemiology and Health</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>Korean Society of Epidemiology</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>Education</text>
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