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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Coronavirus</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Dominio científico: Coronavirus</text>
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        <element elementId="50">
          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>A mathematical model for simulating the phase-based transmissibility of a novel coronavirus</text>
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          <name>Creator</name>
          <description>An entity primarily responsible for making the resource</description>
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              <text>Tian-Mu Chen, Jia Rui, Qiu-Peng Wang, Ze-yu Zhao, Jing-an Cui, Ling Yin</text>
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          <name>Description</name>
          <description>An account of the resource</description>
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              <text>Abstract Background As reported by the World Health Organization, a novel coronavirus (2019-nCoV) was identified as the causative virus of Wuhan pneumonia of unknown etiology by Chinese authorities on 7 January, 2020. The virus was named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by International Committee on Taxonomy of Viruses on 11 February, 2020. This study aimed to develop a mathematical model for calculating the transmissibility of the virus. Methods In this study, we developed a Bats-Hosts-Reservoir-People transmission network model for simulating the potential transmission from the infection source (probably be bats) to the human infection. Since the Bats-Hosts-Reservoir network was hard to explore clearly and public concerns were focusing on the transmission from Huanan Seafood Wholesale Market (reservoir) to people, we simplified the model as Reservoir-People (RP) transmission network model. The next generation matrix approach was adopted to calculate the basic reproduction number (R 0) from the RP model to assess the transmissibility of the SARS-CoV-2. Results The value of R 0 was estimated of 2.30 from reservoir to person and 3.58 from person to person which means that the expected number of secondary infections that result from introducing a single infected individual into an otherwise susceptible population was 3.58. Conclusions Our model showed that the transmissibility of SARS-CoV-2 was higher than the Middle East respiratory syndrome in the Middle East countries, similar to severe acute respiratory syndrome, but lower than MERS in the Republic of Korea.</text>
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          <name>Date</name>
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              <text>2020</text>
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          <name>Subject</name>
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              <text>novel coronavirus, mathematical model, Basic reproduction number, next generation matrix, transmissibility</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>DOI: 10.1186/s40249-020-00640-3</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="12374">
              <text>Infectious Diseases of Poverty</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="45">
          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
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            <elementText elementTextId="12375">
              <text>BMC</text>
            </elementText>
          </elementTextContainer>
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          <name>Coverage</name>
          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <text>Public aspects of medicine, Infectious and parasitic diseases</text>
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          <name>Language</name>
          <description>A language of the resource</description>
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              <text>EN</text>
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