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Other literature type . 2020
Data sources: PubMed Central
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Trends in Molecular Medicine
Article . 2020 . Peer-reviewed
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COVID-19: Epidemiology, Evolution, and Cross-Disciplinary Perspectives

Authors: Sun, Jiumeng; He, Wan-Ting; Wang, Lifang; Lai, Alexander; Ji, Xiang; Zhai, Xiaofeng; Li, Gairu; +5 Authors

COVID-19: Epidemiology, Evolution, and Cross-Disciplinary Perspectives

Abstract

The recent outbreak of COVID-19 in Wuhan turned into a public health emergency of international concern. With no antiviral drugs nor vaccines, and the presence of carriers without obvious symptoms, traditional public health intervention measures are significantly less effective. Here, we report the epidemiological and virological characteristics of the COVID-19 outbreak. Originated in bats, 2019-nCoV/ severe acute respiratory syndrome coronavirus (SARS-CoV)-2 likely experienced adaptive evolution in intermediate hosts before transfer to humans at a concentrated source of transmission. Similarities of receptor sequence binding to 2019-nCoV between humans and animals suggest a low species barrier for transmission of the virus to farm animals. We propose, based on the One Health model, that veterinarians and animal specialists should be involved in a cross-disciplinary collaboration in the fight against this epidemic.

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Keywords

Biomedical and clinical sciences, Clinical Sciences, Immunology, Pneumonia, Viral, Review, Medical and Health Sciences, Vaccine Related, Betacoronavirus, Rare Diseases, Biodefense, Chiroptera, Receptors, Animals, Humans, Viral, Molecular Biology, Lung, Pandemics, Biomedical and Clinical Sciences, SARS-CoV-2, Prevention, Health sciences, COVID-19, Pneumonia, Biological Sciences, Virus, Biological sciences, Infectious Diseases, Emerging Infectious Diseases, Good Health and Well Being, Molecular Medicine, Receptors, Virus, Interdisciplinary Communication, Infection, Coronavirus Infections

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    484
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.01%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
484
Top 0.1%
Top 1%
Top 0.01%
Green
hybrid