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                  <text>Dominio científico: Coronavirus</text>
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                <text>The Global Case-Fatality Rate of COVID-19 Has Been Declining Since May 2020.</text>
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                <text>Mohammad Nayeem Hasan, Najmul Haider, Florian L Stigler, Rumi Ahmed Khan, David McCoy, Alimuddin Zumla, Richard A Kock, Md Jamal Uddin</text>
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                <text>The objective of this study was to evaluate the trend of reported case fatality rate (rCFR) of COVID-19 over time, using globally reported COVID-19 cases and mortality data. We collected daily COVID-19 diagnoses and mortality data from the WHO's daily situation reports dated January 1 to December 31, 2020. We performed three time-series models [simple exponential smoothing, auto-regressive integrated moving average, and automatic forecasting time-series (Prophet)] to identify the global trend of rCFR for COVID-19. We used beta regression models to investigate the association between the rCFR and potential predictors of each country and reported incidence rate ratios (IRRs) of each variable. The weekly global cumulative COVID-19 rCFR reached a peak at 7.23% during the 17th week (April 22-28, 2020). We found a positive and increasing trend for global daily rCFR values of COVID-19 until the 17th week (pre-peak period) and then a strong declining trend up until the 53rd week (post-peak period) toward 2.2% (December 29-31, 2020). In pre-peak of rCFR, the percentage of people aged 65 and above and the prevalence of obesity were significantly associated with the COVID-19 rCFR. The declining trend of global COVID-19 rCFR was not merely because of increased COVID-19 testing, because COVID-19 tests per 1,000 population had poor predictive value. Decreasing rCFR could be explained by an increased rate of infection in younger people or by the improvement of health care management, shielding from infection, and/or repurposing of several drugs that had shown a beneficial effect on reducing fatality because of COVID-19.</text>
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                <text>2021</text>
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                <text>10.4269/ajtmh.20-1496</text>
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                <text>The American journal of tropical medicine and hygiene</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Technological Advances in Ozone and Ozonized Water Spray Disinfection Devices</text>
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                <text>Luis  Alberto Breda Mascarenhas, Fabricia  Oliveira Oliveira, Eduardo  Santos da Silva, Laerte  Marlon Conceição dos Santos, Leticia  de Alencar Pereira Rodrigues, Paulo  Roberto Freitas Neves, Alex  Álisson Bandeira Santos, Greta  Almeida Fernandes Moreira, Gabriela  Monteiro Lobato, Carlos Nascimento, Marcelo Gerhardt, Bruna  Aparecida Souza Machado</text>
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                <text>To control infectious diseases such as the severe acute respiratory syndrome coronavirus (Covid-19) that caused the current pandemic, disinfection measures are essential. Among building measures, disinfection chambers can help to decrease the transmission rate through the sanitizing capacity of the disinfectant used, which can thereby clean surfaces or humans. Out of existing biocides, ozone is considered one of the safest for humans, but one of the most powerful oxidizers, making the substance a better alternative as the biocidal solution in disinfection chambers. Analyses were carried out by using all patented documents related to disinfection chambers that used ozone as a disinfectant. A Derwent Innovation Index (DII) database search was undertaken to find these patents. Patent prospecting resulted in 620 patent documents that were divided into 134 patent families. There was no technology related to protective barriers for individuals, and the majority of patents in the retrieved data aimed at sterilizing medical devices and surfaces. Given that the specific Cooperative Patent Classification (CPC) code for ozone dissolved in liquid was used in the methodology search, but not included among the 10 most used codes in the patents, the use of ozonized water may be an innovative approach in the technology landscape of sterilization chambers.</text>
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                <text>2021</text>
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            <description>The topic of the resource</description>
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                <text>patents, ozonated water, aqueous ozone, technological prospecting, disinfection chambers</text>
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            <name>Identifier</name>
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                <text>10.3390/app11073081</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>Biology (General), Chemistry, Engineering (General). Civil engineering (General), Technology, Physics</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>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>Cycle Threshold Values in the Context of Multiple RT-PCR Testing for SARS-CoV-2</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="57171">
                <text>Romero-Alvarez D, Garzon-Chavez D, Espinosa F, Ligña E, Teran E, Mora F, Espin E, Albán C, Galarza JM, Reyes J</text>
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            <description>An account of the resource</description>
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                <text>Daniel Romero-Alvarez,1 Daniel Garzon-Chavez,2 Franklin Espinosa,3 Edison Lig&amp;ntilde;a,3 Enrique Teran,2 Francisco Mora,3 Emilia Espin,4 Cristina Alb&amp;aacute;n,4 Juan Miguel Galarza,4 Jorge Reyes3,5 1Biodiversity Institute and Department of Ecology &amp;amp; Evolutionary Biology, University of Kansas, Lawrence, KS, USA; 2Colegio de Ciencias de la Salud, Universidad San Francisco de Quito, Quito, Ecuador; 3Departamento Microbiolog&amp;iacute;a M&amp;eacute;dica, Hospital IESS Quito Sur, Quito, Ecuador; 4Hospital IESS Carlos Andrade Marin, Quito, Ecuador; 5Universidad Central del Ecuador, Quito, EcuadorCorrespondence: Daniel Garzon-ChavezColegio de Ciencias de la Salud, Universidad San Francisco de Quito, Diego de Robles s/n y Pampite, Cumbaya, Quito, EC170901, EcuadorTel +593 99862409Email dgarzonc@usfq.edu.ecPurpose: Discharge or follow up of confirmed coronavirus disease 2019 (COVID-19) cases depend on accurate interpretation of RT-PCR. Currently, positive/negative interpretations are based on amplification instead of quantification of cycle threshold (Ct) values, which could be used as proxies of patient infectiousness. Here, we measured Ct values in hospitalized confirmed COVID-19 patients at different times and its implications in diagnosis and follow up.Patients and Methods: Observational study between March 17th-May 12th, 2020 using multiple RT-PCR testing. A cohort of 118 Hispanic hospitalized patients with confirmed COVID-19 diagnosis in a reference hospital in Quito, Ecuador. Multiple RT-PCR tests were performed using deep nasal swab samples and the assessment of SARS-CoV-2 genes N, RdRP, and E.Results: Patients&amp;rsquo; median age was of 49 years (range: 24&amp;ndash; 91) with a male majority (62.7%). We found increasing levels of Ct values in time, with a mean Ct value of 29.13 (n = 61, standard deviation (sd) = 5.55) for the first test and 34.38 (n = 60, sd = 4), 35.52 (n = 20, sd = 2.85), and 36.12 (n = 6, sd = 3.28), for the second, third, and fourth tests, respectively. Time to RT-PCR lack of amplification for all tests was of 34 days while time to RT-PCR Ct values &amp;gt; 33 was of 30 days.Conclusion: Cycle thresholds can potentially be used to improve diagnosis, management and control. We found that turnover time for negativity can be large for hospitalized patients and that 11% cases persisted with infectious Ct values for more time than the current isolation recommendations.Keywords: SARS-CoV-2, coronavirus, pandemic, cycle thresholds, RT-PCR, diagnosis, COVID-19</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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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>coronavirus, covid-19, Diagnosis, RT-PCR, Pandemic, SARS-CoV-2, cycle thresholds</text>
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                <text>Biotemas</text>
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                <text>Universidade Federal de Santa Catarina</text>
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                <text>Public aspects of medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Revisiting Tetra-p-Sulphonated Porphyrin as Antimicrobial Photodynamic Therapy Agent</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Rodica-Mariana Ion</text>
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            <description>An account of the resource</description>
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                <text>Photodynamic inactivation is known as a new antimicrobial photodynamic therapy (aPDT). It is based on the administration of a photosensitizer located in the bacterial/viral cell followed by exposure to light radiations (with a proper wavelength corresponding with the maximum value of absorption of the photosensitizer) that generate singlet oxygen or reactive oxygen species, which lead to the death of different microorganisms. This review will present an overview beyond the state-of-the-art of the photosensitizer types (based on tetra-p-sulphonated-phenyl porphyrin—TSPP, which is able to form cationic and J-aggregates forms at different pH values ((1–4) and concentrations around 10−5 M) and their applications of PDT for viruses, especially. The mechanism of dicationic and J-aggregates formation is presented in this paper, and the photophysical parameters have been collected and harmonized to support their behaviours. Studies on Herpes Simplex virus type 1 (HSV-1) are useful, because without the help of HSV-1, the COVID-19 virus may not be able to cause serious illness or death in humans. This method could be a new direction for COVID treatment and immunization, either to prevent infections or to develop photoactive fabrics (e.g., masks, suits, gloves) to disinfect surfaces, under artificial light and/or natural sunlight. The use of photodynamic therapy (PDT) can be an alternative approach against SARS-CoV-2 that deserves to be explored.</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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                <text>Viruses, covid-19, photodynamic inactivation, HSV-1, aPDT, TSPP</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>10.3390/coatings11040393</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>Engineering (General). Civil engineering (General)</text>
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          <element elementId="50">
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            <description>A name given to the resource</description>
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                <text>The first wave of the SARS-CoV-2 epidemic in Tuscany (Italy): A SI2R2D compartmental model with uncertainty evaluation.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="57188">
                <text>Michela Baccini, Giulia Cereda, Cecilia Viscardi</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>With the aim of studying the spread of the SARS-CoV-2 infection in the Tuscany region of Italy during the first epidemic wave (February-June 2020), we define a compartmental model that accounts for both detected and undetected infections and assumes that only notified cases can die. We estimate the infection fatality rate, the case fatality rate, and the basic reproduction number, modeled as a time-varying function, by calibrating on the cumulative daily number of observed deaths and notified infected, after fixing to plausible values the other model parameters to assure identifiability. The confidence intervals are estimated by a parametric bootstrap procedure and a Global Sensitivity Analysis is performed to assess the sensitivity of the estimates to changes in the values of the fixed parameters. According to our results, the basic reproduction number drops from an initial value of 6.055 to 0 at the end of the national lockdown, then it grows again, but remaining under 1. At the beginning of the epidemic, the case and the infection fatality rates are estimated to be 13.1% and 2.3%, respectively. Among the parameters considered as fixed, the average time from infection to recovery for the not notified infected appears to be the most impacting one on the model estimates. The probability for an infected to be notified has a relevant impact on the infection fatality rate and on the shape of the epidemic curve. This stresses the need of collecting information on these parameters to better understand the phenomenon and get reliable predictions.</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="57190">
                <text>2021</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="57191">
                <text>10.1371/journal.pone.0250029</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="57192">
                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="57193">
                <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>
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              <elementText elementTextId="57194">
                <text>Science, Medicine</text>
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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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    <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>
    </itemType>
    <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>
            <elementTextContainer>
              <elementText elementTextId="57195">
                <text>The Spectrum of CT Findings of COVID-19 Pneumonia: Acute Alveolar Insult and Organizing Pneumonia as Different Phases of Lung Injury and Repair</text>
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          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="57196">
                <text>Ung Rae Kang, Young Hwan Kim, Yun Su Kim</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="57197">
                <text>Purpose To analyze the findings and serial changes in chest CT lesions in 123 symptomatic patientswith coronavirus disease 2019 (COVID-19).Materials and Methods From February 19 to April 7, 2020, a total of 123 confirmed COVID-19patients (male, 44; female, 79; mean age, 59.2 ± 18.6) were enrolled in this retrospective study.A total of 234 CT scans were reviewed for the following patterns: acute alveolar insult (AAI) patterns:ground-glass opacity (GGO), crazy-paving appearance, mixed pattern, and consolidation;organizing pneumonia (OP) patterns: perilobular patterns, band opacity, curvilinear opacity,reversed halo opacity, and small nodular consolidation; resolving patterns: pure GGO, remnantcurvilinear, small nodular consolidation, and serial changes of lung abnormalities. We comparedthe proportions of AAI pattern, OP pattern, or resolving pattern with time progression andanalyzed the association between the patterns and disease severity using Pearson chi-squareand Fisher’s exact test.Results Predominant CT patterns were AAI pattern (87%) in the early hospital period group (0-10 days, after the onset of symptoms), OP pattern (45.7%) in the later hospital period group (after10 days), and resolving pattern in discharge and follow-up group (47.2% and 84.8%, respectively).The difference in the proportions of predominant CT patterns with time progression wasstatistically significant (p &lt; 0.001, Pearson’s chi-square test). No statistically significant associationwas observed between the patterns and disease severity (p = 0.055, Fisher’s exact test). Nofibrous changes in the lesions were observed on follow-up CT scans.Conclusion The serial CT scans of COVID-19 patients showed the spectrum of COVID pneumoniaCT manifestations as different phases of lung injury and repair.</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="57198">
                <text>2021</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="57199">
                <text>covid-19, pneumonia, computed tomography, acute lung injury, x-ray</text>
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            </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="57200">
                <text>https://doi.org/10.3348/jksr.2020.0142</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="57201">
                <text>대한영상의학회지</text>
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            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="57202">
                <text>The Korean Society of Radiology</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>
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              <elementText elementTextId="57203">
                <text>Medical physics. Medical radiology. Nuclear medicine</text>
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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>
                </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="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
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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>
    </itemType>
    <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="57204">
                <text>Afectaciones personales y organizacionales derivadas del confinamiento por COVID-19 en México</text>
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            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="57205">
                <text>Erika Villavicencio-Ayub, Eliana Quiroz-González, Melissa García-Meraz, Erika Santamaría-Plascencia</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="57206">
                <text>El objetivo de este artículo fue analizar las afectaciones personales y organizacionales derivadas del confinamiento por COVID-19 en México. Se utilizó una estrategia asociativa y un diseño predictivo transversal. Participaron 724 trabajadores, de los cuales el 61,6% eran mujeres. Se aplicó una escala sobre afectaciones derivadas por el confinamiento y otra sobre apoyo empresarial para el trabajo ante la COVID-19. Se realizaron análisis factoriales con rotación ortogonal y regresiones múltiples lineales. Se encontraron coeficientes de confiabilidad por alfa de Cronbach de moderados a altos: 0,867 y 0,842. Los resultados resaltan la importancia del liderazgo y la dinámica diaria del trabajador sobre la productividad durante el confinamiento. Ambas escalas presentaron una adecuada estructura factorial y pueden ser utilizadas pororganizaciones mexicanas.</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="57207">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="57208">
                <text>covid-19, pandemia, Salud mental, TELETRABAJO, Liderazgo</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="57209">
                <text>10.18046/j.estger.2021.158.4270</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="57210">
                <text>Biotemas</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="57211">
                <text>Universidade Federal de Santa Catarina</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="57212">
                <text>Business</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="6447" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/06da74ad0c481757c3d808ffd03495ed.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>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
            </element>
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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>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="57213">
                <text>Two Examples of RNA Aptamers with Antiviral Activity. Are Aptamers the Wished Antiviral Drugs?</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="57214">
                <text>Alfredo Berzal-Herranz, Cristina Romero-López</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="57215">
                <text>The current Covid-19 pandemic has pointed out some major deficiencies of the even most advanced societies to fight against viral RNA infections. Once more, it has been demonstrated that there is a lack of efficient drugs to control RNA viruses. Aptamers are efficient ligands of a great variety of molecules including proteins and nucleic acids. Their specificity and mechanism of action make them very promising molecules for interfering with the function encoded in viral RNA genomes. RNA viruses store essential information in conserved structural genomic RNA elements that promote important steps for the consecution of the infective cycle. This work describes two well documented examples of RNA aptamers with antiviral activity against highly conserved structural domains of the HIV-1 and HCV RNA genome, respectively, performed in our laboratory. They are two good examples that illustrate the potential of the aptamers to fill the therapeutic gaps in the fight against RNA viruses.</text>
              </elementText>
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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="57216">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="57217">
                <text>aptamers, functional rna domains, antiviral RNAs, viral RNA genome, RNA tools, RNA structure/function</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="57218">
                <text>10.3390/ph13080157</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="57219">
                <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="57220">
                <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="57221">
                <text>Medicine, Pharmacy and materia medica</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="6448" public="1" featured="0">
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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>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
            </element>
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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>
    </itemType>
    <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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              <elementText elementTextId="57222">
                <text>The proportion and effect of corticosteroid therapy in patients with COVID-19 infection: A systematic review and meta-analysis.</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="57223">
                <text>Junning Wang, Weixia Yang, Puwen Chen, Jianbin Guo, Rui Liu, Pengfei Wen, Kun Li, Yao Lu, Tao Ma, Xiaoli Li, Siqing Qin, Yumin Zhang, Yakang Wang</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>ObjectivesCoronavirus disease 2019 (COVID-19) remains a global challenge. Corticosteroids constitute a group of anti-inflammatory and immunosuppressive drugs that are widely used in the treatment of COVID-19. Comprehensive reviews investigating the comparative proportion and efficacy of corticosteroid use are scarce. Therefore, we conducted a systematic review and meta-analysis of clinical trials to evaluate the proportion and efficacy of corticosteroid use for the treatment of COVID-19.MethodsWe conducted a comprehensive literature review and meta-analysis of research articles, including observational studies and clinical trials, by searching the PubMed, EMBASE, Cochrane Controlled Trials Registry, and China Academic Journal Network Publishing databases. Patients treated between December 1, 2019, and January 1, 2021, were included. The outcome measures were the proportion of patients treated with corticosteroids, viral clearance and mortality. The effect size with the associated 95% confidence interval is reported as the weighted mean difference for continuous outcomes and the odds ratio for dichotomous outcomes.ResultsFifty-two trials involving 15710 patients were included. The meta-analysis demonstrated that the proportion of COVID-19 patients who received corticosteroids was significantly lower than that of patients who did not receive corticosteroids (35.19% vs. 64.49%). In addition, our meta-analysis demonstrated no significant difference in the proportions of severe and nonsevere cases treated with corticosteroids (27.91% vs. 20.91%). We also performed subgroup analyses stratified by whether patients stayed in the intensive care unit (ICU) and found that the proportion of patients who received corticosteroids was significantly higher among those who stayed in the ICU than among those who did not. The results of our meta-analysis indicate that corticosteroid treatment significantly delayed the viral clearance time. Finally, our meta-analysis demonstrated no significant difference in the use of corticosteroids for COVID-19 between patients who died and those who survived. This result indicates that mortality is not correlated with corticosteroid therapy.ConclusionThe proportion of COVID-19 patients who received corticosteroids was significantly lower than that of patients who did not receive corticosteroids. Corticosteroid use in subjects with severe acute respiratory syndrome coronavirus 2 infections delayed viral clearance and did not convincingly improve survival; therefore, corticosteroids should be used with extreme caution in the treatment of COVID-19.</text>
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                <text>2021</text>
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            <name>Identifier</name>
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              <elementText elementTextId="57226">
                <text>10.1371/journal.pone.0249481</text>
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          <element elementId="48">
            <name>Source</name>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
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              <elementText elementTextId="57228">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
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            <name>Coverage</name>
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                <text>Science, Medicine</text>
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        <src>https://www.socictopen.socict.org/files/original/cc238e099c90962f13c851a972421a64.pdf</src>
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            <element elementId="50">
              <name>Title</name>
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                  <text>Coronavirus</text>
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              <name>Description</name>
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                  <text>Dominio científico: Coronavirus</text>
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          <element elementId="50">
            <name>Title</name>
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                <text>COVID-19: An Update About the Discovery Clinical Trial</text>
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            <name>Creator</name>
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                <text>Jean Jacques Vanden Eynde</text>
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                <text>Finding efficacious and safe treatments for COVID-19 emerges as a crucial need in order to control the spread of the pandemic. Whereas plasma therapy attracts much interest, the European project Discovery focuses on the potentialities of small molecules like remdesivir, the combination of lopinavir/ritonavir, hydroxychloroquine, and chloroquine. Results recently published on the clinical evaluation of those drugs are compiled in this brief report, although complete data are still impatiently awaited.</text>
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            <name>Date</name>
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                <text>2020</text>
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                <text>covid-19, lopinavir/ritonavir, Hydroxychloroquine, chloroquine, Remdesivir, plasma</text>
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                <text>10.3390/ph13050098</text>
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            <name>Source</name>
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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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              <elementText elementTextId="57238">
                <text>Medicine, Pharmacy and materia medica</text>
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