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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Knowledge, Perception, and Sources of Information on COVID-19 among Nigerian Youths in the First Month of the Pandemic</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Muhammad Shakir Balogun, Abiodun Ebenezer Kolapo, Olayinka Stephen Ilesanmi, Temitope  Olajumoke Omoju, Olugbenga Adeola Odukanmi, Dayo  Olufemi Akanbi, James Olatunde Okediran</text>
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            <description>An account of the resource</description>
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                <text>Background: This study aimed to assess the knowledge, perception, and sources of COVID-19 information among Nigerian youths. Methods:  We conducted a descriptive cross-sectional study among 817 National Youth Service Corps members. Participants’ overall general knowledge about COVID-19 was assessed using nine questions that consisted of general knowledge on the cause, origin, mode of transmission, signs and symptoms, availability of a potent vaccine and specific therapy, prevention strategies of COVID-19 and knowledge of proper handwashing practices. P-values Results: The mean age of the respondents was 24.1± 2 years, 317 (41.2%) were males, and 73 (8.9%) had studied a health-related course. Of the 754 respondents who responded to the COVID-19 knowledge questions, 187 (24.8%) had general knowledge about COVID-19, while 280 (37.1%) had knowledge in all domains; mode of spread, symptoms and signs, and prevention of COVID-19. Among the respondents, 129 (40.7%) males had satisfactory knowledge of COVID-19 (p=0.070), while 38 participants (52.1%) who had studied a health-related course had satisfactory knowledge of COVID-19 (p=0.003). Regarding the knowledge of handwashing, 184 (58%) males displayed satisfactory knowledge (p=0.007). Social media (64.4%) and television (58%) were the main sources of COVID-19 information. Respondents who had studied a health-related course were twice likely to have satisfactory knowledge of COVID-19 (AOR=2, 95% CI=1.25-2.5 p=0.003,) and six times likely to have satisfactory knowledge of handwashing (AOR=5.6, 95%CI=3.3-10.0, p=</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="87735">
                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="87736">
                <text>covid-19, Knowledge, Perception, SARS-CoV-2, Nigeria</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>10.30476/jhsss.2020.88288.1140</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="87738">
                <text>Journal of Health Sciences and Surveillance System</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="87739">
                <text>Shiraz University of Medical Sciences</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>
            <elementTextContainer>
              <elementText elementTextId="87740">
                <text>Public aspects of 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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                <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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                <text>Explaining demand patterns during COVID-19 using opportunistic data: a case study of the city of Munich</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87742">
                <text>Vishal Mahajan, Guido Cantelmo, Constantinos Antoniou</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Abstract Background The COVID-19 pandemic is a new phenomenon and has affected the population’s lifestyle in many ways, such as panic buying (the so-called “hamster shopping”), adoption of home-office, and decline in retail shopping. For transportation planners and operators, it is interesting to analyze the spatial factors’ role in the demand patterns at a POI (Point of Interest) during the COVID-19 lockdown viz-a-viz before lockdown. Data and Methods This study illustrates a use-case of the POI visitation rate or popularity data and other publicly available data to analyze demand patterns and spatial factors during a highly dynamic and disruptive event like COVID-19. We develop regression models to analyze the correlation of the spatial and non-spatial attributes with the POI popularity before and during COVID-19 lockdown in Munich by using lockdown (treatment) as a dummy variable, with main and interaction effects. Results In our case-study for Munich, we find consistent behavior of features like stop distance and day-of-the-week in explaining the popularity. The parking area is found to be correlated only in the non-linear models. Interactions of lockdown with POI type, stop-distance, and day-of-the-week are found to be strongly significant. The results might not be transferable to other cities due to the presence of different city-specific factors. Conclusion The findings from our case-study provide evidence of the impact of the restrictions on POIs and show the significant correlation of POI-type and stop distance with POI popularity. These results suggest local and temporal variability in the impact due to the restrictions, which can impact how cities adapt their transport services to the distinct demand and resulting mobility patterns during future disruptive events.</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="87744">
                <text>2021</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87745">
                <text>covid-19, machine learning, demand patterns, POIs, Spatial-temporal, Crowdsensed data</text>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="87746">
                <text>10.1186/s12544-021-00485-3</text>
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            </elementTextContainer>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="87747">
                <text>European Transport Research Review</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="87748">
                <text>SpringerOpen</text>
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            </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>
            <elementTextContainer>
              <elementText elementTextId="87749">
                <text>Transportation engineering, Transportation and communications</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>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
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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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      <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="87750">
                <text>COVID-19 clinico-radiological mismatch: a proposal for a novel combined morphologic/volumetric CT severity score with blinded validation</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87751">
                <text>Ahmed Samir, Abdelaziz Elnekeidy, Heba Said Gharraf, Ayman Ibrahim Baess, Tarek El-Diasty, Dina Altarawy</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87752">
                <text>Abstract Background Some COVID-19 patients with similar quantitative CT measurements had variable clinical presentation and outcome. The absence of reasonable clinical explanations, such as pre-existing comorbidities or vascular complications, adds to the confusion. The authors believed that neglecting the impact of certain severe morphologic features could be an alternative radiological explanation. This study aims to optimize the initial CT staging of COVID-19 and propose a new combined morphologic/volumetric CT severity index (CTSI) to solve this clinico-radiological mismatch. Results This multi-center study included two major steps. The first step of the study entailed a standardized combined morphologic/volumetric CT severity analyses to propose a new optimized CTSI. This was conducted retrospectively during the period from June till September 2020. It included 379 acutely symptomatic COVID-19 patients. They were clinically classified according to their oxygen saturation and respiratory therapeutic requirements into three groups: group A (mild 298/79%), group B (borderline severity 57/15%), and group C (severe/critical 24/6%). The morphologic and volumetric assessment of their HRCT was analyzed according to severity, by two consultant radiologists in consensus. A new 25 point-CTSI has been created, combining eight morphological CT patterns [M1:M8; 8 points] and four grades of volumetric scores [S1:S4; 17 points]. The addition of the M5 pattern (air bubble sign), M6 pattern (early fibrosis and architectural distortion), or M7 pattern (crazy-paving) proved to increase the clinical severity. The second step of the study entailed a standardized blinded/independent validation analysis for the proposed CTSI. This was prospectively conducted on other 132 patients during October 2020 and independently performed by other two consultant radiologists. Validation results reached 80.2% sensitivity, 91.8% specificity, AUROC-curve = 0.8356, and 90.9% accuracy. Conclusion A new optimized CTSI with accepted validation is proposed for initial staging of COVID-19 patients, using combined morphologic/volumetric assessment instead of the quantitative assessment alone. It could solve the clinico-radiological mismatch among patients with similar quantitative CT results and variable clinical presentation during the absence of pre-existing comorbidities or vascular complications.</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="87753">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87754">
                <text>covid-19, quantitative, volumetric, morphologic, CTSI</text>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="87755">
                <text>10.1186/s43055-021-00486-1</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="87756">
                <text>Biotemas</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="87757">
                <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="87758">
                <text>Medical physics. Medical radiology. Nuclear 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>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
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    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="87759">
                <text>Semi-quantitative CT severity scoring as a predictor of development of post-COVID syndrome</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87760">
                <text>Mohammad A. Saad, Ahmed F. El Khateeb, Mona I. Ahmed, Ahmed M. Magdy</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="87761">
                <text>Abstract Background Following COVID-19 pandemic, clinical description focused on the clinical presentation of patients in the acute stage of the disease. More recently, data have emerged that some patients continue to experience symptoms related to COVID-19 after the acute phase of infection has subsided (post-COVID syndrome). Although characteristics of post-COVID syndrome have been well described, less is known about the possible invitations during acute illnesses that can predict such syndrome. Our study is a prospective study aiming at assessment of CT severity scoring in the acute phase of COVID-19 pneumonia as a predictor for development of post-COVID syndrome in recovering patients. Results A total of 192 symptomatic COVID-19 patients between April 2020 and October 2020 were enrolled in this single-center study, and high-resolution chest CT examinations were evaluated for CT severity scoring. Data were matched with the long-term clinical outcome. CT severity score was significantly higher in patients who developed post-COVID symptoms (p  7 was associated with an increased risk and was found to be predictive of condition development with sensitivity (95.9%), specificity (96%), positive predictive value (95.92%), negative predictive value (96%), and accuracy (95.96%). Conclusions CT severity scoring can help in predicting the long-term outcome of COVID-19 patients with cutoff value of CT-SSS &gt; 7 showing highest sensitivity and specificity for predicting development of post-COVID syndrome.</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="87762">
                <text>2021</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87763">
                <text>COVID-19 pneumonia, CT chest, Post-COVID syndrome, CT severity scoring</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="87764">
                <text>10.1186/s43055-021-00483-4</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="87765">
                <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="87766">
                <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>
            <elementTextContainer>
              <elementText elementTextId="87767">
                <text>Medical physics. Medical radiology. Nuclear medicine</text>
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                <text>Telemonitoreo de pacientes con enfermedades avanzadas no curables: Revisión narrativa y experiencia inicial en el programa de visita domiciliar del Centro Nacional de Control del Dolor y Cuidados Paliativos durante la emergencia nacional relacionada con C</text>
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                <text>Gabriel Carvajal-Valdy, Marco Ferrandino-Carballo, Sandra Maykall-Mora, Catalina Saint-Hilaire Arce</text>
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            <description>An account of the resource</description>
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                <text>La telemedicina describe la entrega electrónica de datos médicos para diagnóstico, tratamiento y educación médica al paciente en el hogar mediante el uso de tecnologías de información y comunicación. En pocas semanas, la situación mundial actual relacionada con COVID-19 ha generado presiones sin precedentes en el sistema de salud y ha transformado la práctica de cuidados paliativos. El programa de visita domiciliar del Centro Nacional de Control del Dolor y Cuidados Paliativos adoptó la modalidad de teleconsulta en marzo 2020 y se estableció un plan piloto de evaluación de la tecnología de telemonitoreo. Durante el periodo inicial de evaluación comprendido entre marzo y julio 2020, un médico especialista en Medicina Paliativa revisó los signos vitales dentro de las 24 horas posteriores a la transmisión y realizó una teleconsulta al paciente permitiendo analizar los datos recibidos. En total 14 pacientes fueron monitorizados durante un promedio de 10.2 ± 3.7 días para un total de 143 días de monitoreo multiparamétrico y 3432 horas monitoreo. Los resultados preliminares de este estudio sugieren un efecto positivo en el control de síntomas, la satisfacción del paciente, la educación del personal y la comunicación entre los miembros del equipo.</text>
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                <text>2021</text>
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                <text>covid-19, Telemedicina, CONSULTA REMOTA, Medicina paliativa, monitoreo de pacientes</text>
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                <text>10.35839/repis.5.1.848</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>Public aspects of medicine, Medicine (General)</text>
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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>Responsabilidad social empresarial en el contexto del COVID-19</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Manuel Rafael Quevedo Barros, Rafael Jubencio Patiño Astudillo, Silvia Ximena Vinueza Morales</text>
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            <description>An account of the resource</description>
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                <text>La tragedia humana y las implicaciones económicas, sociales y ambientales producto de la enfermedad por coronavirus 2019 (COVID-19) causó un gran impacto en diversos sectores económicos a nivel mundial abriendo la posibilidad de aplicar estrategias relacionadas a la Responsabilidad Social Empresarial (RSE). Por lo cual, la principal finalidad del artículo es ofrecer una visión sobre el impacto de la enfermedad por coronavirus COVID-19 o SARS-CoV-2 en la responsabilidad social empresarial (RSE), en relación a la práctica y generación de oportunidades orientadas a sobrellevar desafíos sociales y ambientales globales para la administración de las organizaciones desarrolladas en el contexto de la pandemia. Concluyendo que el trabajo conjunto entre lo económico, social y ambiental promueve la generación de beneficios a las empresas y la sociedad, donde, la crisis por la pandemia promueve un cambio en la visión y enfoque de las organizaciones para participar activamente de iniciativas de RSE a un corto y largo plazo.</text>
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                <text>2021</text>
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            <description>The topic of the resource</description>
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                <text>coronavirus, covid-19, pandemia, Responsabilidad social empresarial</text>
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                <text>10.26490/uncp.sl.2021.5.1.813</text>
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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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            <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>Social sciences (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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              <description>An account of the resource</description>
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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>Reinventing Aerosol Containment Unit for Use in Medical Operating Theatre</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Sathian Harishan, Eh Noum Se Yong</text>
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                <text>The aerosol containment box or intubation box is medical tool invented to help protect healthcare workers from airborne aerosols while performing procedures such as intubation that are close to the mouth of the patient. The current design of the aerosol containment box is used heavily during the COVID-19 pandemic due to the virus being present in airborne aerosol particles from a patient’s breath. However, the current design has been reported to be flawed in its design aspects. Adding ergonomic considerations into the design is expected to provide improved mobility and better usage of medical instruments. The research conducted analyzed how effective the current design in containing the spread of aerosols from the patient. To execute the research, the current design is modelled in a 3D render using SOLIDWORKS 2020 using dimensions to scale. The 3D model is imported into ANSYS 18.2 to conduct an airflow analysis when a patient cough or breathes to analyses the spread of the aerosols from the patient. The patient coughing was simulated using a nozzle with the boundary space of the model based on the size of the intubation box. The key outcome of the project that the present design is not verry effective in containing aerosol spread as there is still airflow of the particles leaving the intubation box into the environment. The improved design of the intubation box prevents flow of the aerosols into the environment by using suction and seals to close of outlets. The data gained from the study of the aerosol spread proves that there is a higher pressure concentration of the aerosols particles on the walls of the outlets in the existing design in the market as compared to the improved design suggested. This data can help better justify the dimensions and criteria needed to further enhance the current design of the aerosol containment box.</text>
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                <text>2021</text>
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            <name>Identifier</name>
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                <text>10.1051/matecconf/202133503005</text>
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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>Engineering (General). Civil engineering (General)</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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            <description>A name given to the resource</description>
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                <text>Farmers’s Choice to Risk Management Strategies of Corn Farming in Sigi District Central Sulawesi</text>
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                <text>SP Rahayu Heni, Dewi Mardiana, Febrianti Tina</text>
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                <text>Corn has a very significant contribution in the national economy as one of main food crop commodities. As a strategic commodity, corn has big potency even in covid-19 pandemic time, corn relatively resilient compare to other commodities in Central Sulawesi. However the level of corn productivity will relate to the adoption of technology and the farmers’s choices to cope with risk, both production and marketing. Therefore, the study aims to know farmers’s choices to corn farming risk management strategies. A survey had been conducted to 75 respondents across the three districts in Sigi Central Sulawesi, and a quantitative analysis approach was applied in the study. Data were analyzed using descriptive and multinomial logit analysis. The result showed that mostly of the corn farmers have no spesific risk management strategy due to the limit of information and awareness. While a second number already aware but not use spesific strategies. The rest of respondents have adopted certain strategies for managing risk but not compensatory for marketing’s risk yet. Some farmers gave credence to engage with the not formal contract or middleman as buyers and supplier for the production input and thus, becoming vulnerable position for the farmers. Variables that significantly gave effect on the choice of risk management strategies are: education, farm size, activity in farmer group, alternative commodity, and propensity to take a risk.</text>
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                <text>2021</text>
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                <text>10.1051/e3sconf/202123202016</text>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
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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>Environmental sciences</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Predictive Efficacy of Haematological  Biomarkers in COVID-19 infection</text>
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                <text>Nadeem Ikram, Asma Nafisa, Rabia Anjum</text>
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                <text>Introduction: The ongoing Corona Virus Pandemic is linked with high rates of morbidity and mortality globally. Early and effective predictors of clinical outcomes are urgently required to develop effective management protocols. Objective: To investigate the predictive efficacy of haematological biomarkers in Covid -19 infection Methods: Blood samples were drawn from COVID‐19 infected pneumonia patients. Baseline clinical information was collected and quantification of hemostatic variable was done.  Laboratory data both groups expired and recovered were compared using t- test, Mann Whitney- U test, chi squared-test and Kruskal Wallis test. Multivariate regression analysis was performed to determine the independent contribution of haematological variable in Covid19 related mortality. Receiver operating characteristic curve were drawn to find the predictive efficacy of significantly related parameters. Results: Out of 191 patients 68.1%  were male. D‐dimer (median 800 ng/mL; IQR 200‐3200) and NLR (median 10.40; IQR 3.20-22.80) were found to be predominantly raised and significantly correlated with Covid mortality in multivariate regression analysis. The optimum cutoff value of D-dimer to predict in-hospital mortality was 450 ng/ml with a sensitivity of 71.6% and a specificity of 95.8%. The optimum cutoff value of NLR to predict in-hospital mortality was 5.450 with a sensitivity of 70.1% and a specificity of 71%. Conclusion: D-dimer and NLR could be used as the signiﬁcant indicators in predicting the mortality of COVID-19.</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="87805">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87806">
                <text>COVID‐19</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="87807">
                <text>10.37939/jrmc.v24i4.1517</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="87808">
                <text>Journal of Rawalpindi Medical College</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="87809">
                <text>Rawalpindi Medical University</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="87810">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
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  <item itemId="10519" public="1" featured="0">
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      <file fileId="10519">
        <src>https://www.socictopen.socict.org/files/original/45385da48453ad7c93d1d979e5e15c36.pdf</src>
        <authentication>e072d9210ad82406c58fc387a8602647</authentication>
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
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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>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87811">
                <text>Seroprevalence of antibodies to SARS-CoV-2 in healthcare workers &amp; implications of infection control practice in India</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="87812">
                <text>Ritu Gupta, Tanima Dwivedi, Smeeta Gajendra, Biswajeet Sahoo, Sanjeev Kumar Gupta, H Vikas, Angel Rajan Singh, Anant Mohan, Sushma Bhatnagar, Sheetal Singh, Laxmitej Wundavalli, Randeep Guleria</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87813">
                <text>Background &amp; objectives: Healthcare workers (HCWs) are considered to be at a high risk of contracting COVID-19 infection. Besides, control of nosocomial infections transmitted from HCWs to the patients is also a cause of concern. This study was undertaken to investigate the seroprevalence of antibodies against the SARS-CoV-2 virus among the hospital staff of a tertiary care health facility in north India.  Methods: The HCWs were tested for SARS-CoV-2 serology (IgG+IgM) using chemiluminescence immunoassay between June 22 and July 24, 2020. Venous blood (2 ml) was collected and tested for SARS-CoV-2 IgG and IgM antibodies.  Results: Of the 3739 HCWs tested, 487 (13%) were positive for total SARS-CoV-2 antibodies. The highest seroprevalence was observed in administrative staff (19.6%) and least in physicians (5.4%). The staff who used public (20%) and hospital transportation (16.9%) showed higher seroprevalence compared to staff using personal transportation (12.4%). No difference was observed between HCWs posted in COVID versus non-COVID areas. All seropositive symptomatic HCWs in our study (53.6%) had mild symptoms, and the remaining 46.4 per cent were asymptomatic. The antibody positivity rate progressively increased from 7.0 per cent in the first week to 18.6 per cent in the fourth week during the study. Interpretation &amp; conclusions: The presence of antibodies to SARS-CoV-2 in a significant number of asymptomatic HCWs, association with the use of public transport, relatively lower seroprevalence compared with the non-HCWs and rising trend during the period of the study highlight the need for serosurveillance, creating awareness for infection control practices including social distancing and study of infection dynamics in the community for effective control of an infectious pandemic.</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>
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              <elementText elementTextId="87814">
                <text>2021</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87815">
                <text>healthcare workers - high risk - immunoassay - pandemic - sars-cov-2 - seroprevalence</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="87816">
                <text>10.4103/ijmr.IJMR_3911_20</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="87817">
                <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="87818">
                <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="87819">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
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