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      <src>https://socictopen.socict.org/files/original/c5c610f2413823df14c194c069eade03.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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              <text>The dynamics of COVID-19 epidemic in Basrah province-Second report</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="38776">
              <text>Omran Habib, Haider Jassim, Wael Al-Shihaby, Mustafa Mohamed</text>
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          <name>Description</name>
          <description>An account of the resource</description>
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              <text>Abstract Background: COVID-19 pandemic still expanding across the world and continuing at modest pattern In Basrah. Objective: To further elaborate on COVID-19 epidemic in Basrah province and document the changing dynamic of the disease. Methods: two sources were used for obtaining data in this study. The first is an excel sheet containing information on 736 cases covering age, gender, residence, travel history, comorbidity and fate, which is obtained from The Department of Public Health in Basrah. The second is the daily numbers of new cases (also 736) obtained from the daily communiqué of the Ministry of Health. Statistical Package for Social Sciences (SPSS-version 20) and Excel programmes were used for statistical analysis. Results: The mean age was 35.5±18.9 (for males=35.6+19.0 and for females=35.5±18.8), the median was 34 years (males =34 and females =33). The incidence rate was higher in older age groups, females and three districts (Basrah city, Al-Hartha and Al-Mdaina). The case fatality was within the international figures and significantly predicted by older age, travel history and presence of co-morbidity. The epidemic curve is moderate, fluctuant and does not help yet in predicting an exit from the epidemic. Conclusion: The epidemic of COVID-19 in Basrah is moderate, cluster in transmission and changing in time but is unpredictable. Key words: COVID-19, Case fatality ratio, incidence rate</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>Case fatality ratio, Keywords COVID-19, incidence rate, time trend</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="38780">
              <text>10.33762/mjbu.2020.127210.1019</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="38781">
              <text>The Medical Journal of Basrah University</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="38782">
              <text>University of Basrah</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="38783">
              <text>Medicine</text>
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