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A Novel Coronavirus Genome Identified in a Cluster of Pneumonia Cases - Wuhan, China 2019-2020

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The article was published on 2020-01-01 and is currently open access. It has received 558 citations till now. The article focuses on the topics: Coronavirus.

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Analysis of influenza trend and impact of COVID‐19 in Kezhou, Xinjiang for 8 consecutive years

TL;DR: The trend of influenza in Kezhou, Xinjiang is on the rise, the prevention and control measures of COVID‐19 have significantly reduced the data of influenza, and it is necessary to strengthen the vaccination work and maintain the basic prevention and Control measures of respiratory infectious diseases to prevent and control influenza more effectively.
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Future-Mapping the Three Dimensions of EU Competition Law: Modernisation Now and After Covid-19

TL;DR: In this article, the authors consider a third dimension: its normative concercer, and propose a normative concurrence for competition law in the EU competition law, which is traditionally understood in two dimensions: judicial control and enforcement.
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Retrospective analysis of chest HRCT findings in coronavirus disease pandemic (COVID-19)- An early experience

TL;DR: In this paper, the authors evaluated the performance of high resolution CT (HRCT) in the diagnosis of COVID-19 pneumonia and established the role of HRCT in prognosis of affected patients and to assess severity of disease based on HRCT findings.
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Overview of pathology and laboratory features of covid-19

TL;DR: There are highly efficacious and reliable methods of diagnosis of COVID-19 which also determine the stage and severity of the condition, and these methods are performed in line with specific clinical presentations.
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MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

TL;DR: This version of MAFFT has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update.
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A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood.

TL;DR: This work has used extensive and realistic computer simulations to show that the topological accuracy of this new method is at least as high as that of the existing maximum-likelihood programs and much higher than the performance of distance-based and parsimony approaches.
Journal ArticleDOI

From “A”IV to “Z”IKV: Attacks from Emerging and Re-emerging Pathogens

TL;DR: 100 years after the infamous “Spanish flu” pandemic, the 2017–2018 flu season has been severe, with numerous infections worldwide.
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