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      <src>https://socictopen.socict.org/files/original/57f793ad6384c7907649acf3be8c1998.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>
              </elementText>
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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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        <element elementId="50">
          <name>Title</name>
          <description>A name given to the resource</description>
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            <elementText elementTextId="84543">
              <text>Solvability and stability of a fractional dynamical system of the growth of COVID-19 with approximate solution by fractional Chebyshev polynomials</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="84544">
              <text>Rabha W. Ibrahim, Shaher Momani, Samir B. Hadid, Dania Altulea</text>
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        <element elementId="41">
          <name>Description</name>
          <description>An account of the resource</description>
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              <text>Abstract Lately, many studies were offered to introduce the population dynamics of COVID-19. In this investigation, we extend different physical conditions of the growth by employing fractional calculus. We study a system of coupled differential equations, which describes the dynamics of the infection spreading between infected and asymptomatic styles. The healthy population properties are measured due to the social meeting. The result is associated with a macroscopic law for the population. This dynamic system is appropriate to describe the performance of growth rate of the infection and to verify if its control is appropriately employed. A unique solution, under self-mapping possessions, is investigated. Approximate solutions are presented by utilizing fractional integral of Chebyshev polynomials. Our methodology is based on the Atangana–Baleanu calculus, which provides various activity results in the simulation. We tested the suggested system by using live data. We found positive action in the graphs.</text>
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          <name>Date</name>
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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>covid-19, fractional calculus, Fractional integral operator, dynamic system, fractional differential operator, conformable calculus</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="84548">
              <text>10.1186/s13662-020-02791-x</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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            <elementText elementTextId="84549">
              <text>Epidemiology and Health</text>
            </elementText>
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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="84550">
              <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>
          <elementTextContainer>
            <elementText elementTextId="84551">
              <text>Mathematics</text>
            </elementText>
          </elementTextContainer>
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