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      <src>https://www.socictopen.socict.org/files/original/41c618fa4f609107c89de9553b006d94.pdf</src>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Coronavirus</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <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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        <element elementId="50">
          <name>Title</name>
          <description>A name given to the resource</description>
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            <elementText elementTextId="38520">
              <text>Attitudes of the Public to Receiving Medical Care during Emergencies through Remote Physician–Patient Communications</text>
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          <name>Creator</name>
          <description>An entity primarily responsible for making the resource</description>
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            <elementText elementTextId="38521">
              <text>Matilda Hamlin, Steinn Steingrimsson, Itzhak Cohen, Victor Bero, Avishay Bar-Tl, Bruria Adini</text>
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        <element elementId="41">
          <name>Description</name>
          <description>An account of the resource</description>
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              <text>Providing health services through remote communications for sub-acute health issues during emergencies may help reduce the burden of the health care system and increase availability of care. This study aimed to investigate the attitudes of the public towards receiving medical services and providing medical information through remote communication in times of emergencies. During the pandemic outbreak of the novel coronavirus (COVID-19), pandemic outbreak, 507 participants answered a structured online survey, rating their mean willingness to receive medical care and provide medical information, on a four-point Likert scale. Furthermore, demographic characteristics, social media use, and trust in data protection was collected. The mean willingness to receive medical services was 3.1 ± 0.6 and the mean willingness to provide medical information was 3.0 ± 0.7, with a strong significant correlation between the two (r = 0.76). The multiple regression model identified higher trust in data protection, level of education, and social media use as statistically significant predictors for a higher willingness to receive medical information while the first two predicted willingness to provide information. The findings suggest an overall positive attitude to receive medical care through remote communications.</text>
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          <name>Date</name>
          <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <text>2020</text>
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        <element elementId="49">
          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>emergency management, remote communications, patient willingness</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/ijerph17145236</text>
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        <element elementId="48">
          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
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              <text>Epidemiology and Health</text>
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          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
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              <text>Korean Society of Epidemiology</text>
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        </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="38528">
              <text>Medicine</text>
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