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            <name>Title</name>
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                <text>Coronavirus</text>
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                <text>Dominio científico: Coronavirus</text>
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              <text>Identification of Epidemiological Traits by Analysis of SARS−CoV−2 Sequences</text>
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              <text>Huixiao Hong, Bohu Pan, Zuowei Ji, Sugunadevi Sakkiah, Wenjing Guo, Jie Liu, Tucker  A. Patterson</text>
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              <text>Severe acute respiratory syndrome coronavirus 2 (SARS−CoV−2) has caused the ongoing global COVID-19 pandemic that began in late December 2019. The rapid spread of SARS−CoV−2 is primarily due to person-to-person transmission. To understand the epidemiological traits of SARS−CoV−2 transmission, we conducted phylogenetic analysis on genome sequences from &gt;54K SARS−CoV−2 cases obtained from two public databases. Hierarchical clustering analysis on geographic patterns in the resulting phylogenetic trees revealed a co-expansion tendency of the virus among neighboring countries with diverse sources and transmission routes for SARS−CoV−2. Pairwise sequence similarity analysis demonstrated that SARS−CoV−2 is transmitted locally and evolves during transmission. However, no significant differences were seen among SARS−CoV−2 genomes grouped by host age or sex. Here, our identified epidemiological traits provide information to better prevent transmission of SARS−CoV−2 and to facilitate the development of effective vaccines and therapeutics against the virus.</text>
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              <text>2021</text>
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              <text>phylogenetic analysis, genome, covid-19, sequence, SARS‐CoV‐2, epidemiological trait</text>
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              <text>10.3390/v13050764</text>
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              <text>Epidemiology and Health</text>
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              <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>
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              <text>Microbiology</text>
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