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      <src>https://www.socictopen.socict.org/files/original/17a093bbc48c4b44494c10905b5b1006.pdf</src>
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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>Relationship between political partisanship and COVID-19 deaths: future implications for public health.</text>
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          <name>Creator</name>
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              <text>Hsueh-Fen Chen, Saleema A Karim</text>
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          <name>Description</name>
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              <text>COVID-19 has impacted more than 200 countries. However in the USA, the response to the COVID-19 pandemic has been politically polarized. The objective of this study is to investigate the association between political partisanship and COVID-19 deaths rates in the USA. This study used longitudinal county-level panel data, segmented into 10 30-day time periods, consisting of all counties in the USA, from 22 January 2020 to 5 December 2020. The outcome measure is the total number of COVID-19 deaths per 30-day period. The key explanatory variable is county political partisanship, dichotomized as Democratic or Republican. The analysis used a ZINB regression. When compared with Republican counties, COVID-19 death rates in Democratic counties were significantly higher (IRRs ranged from 2.0 to 18.3, P &lt; 0.001) in Time 1-Time 5, but in Time 9-Time10, were significantly lower (IRRs ranged from 0.43 to 0.69, P &lt; 0.001). The reversed trend in COVID-19 death rates between Democratic and Republican counties was influenced by the political polarized response to the pandemic. The findings support the necessity of evidence-based public health leadership and management in maneuvering the USA out of the current COVID-19 pandemic and prepare for future public health crises.</text>
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          <name>Date</name>
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              <text>2021</text>
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          <name>Identifier</name>
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              <text>10.1093/pubmed/fdab136</text>
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              <text>Journal of public health (Oxford, England)</text>
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