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Searching for animal models and potential target species for emerging pathogens: Experience gained from Middle East respiratory syndrome (MERS) coronavirus

Authors: Júlia Vergara-Alert; Enric Vidal; Albert Bensaid; Joaquim Segalés;

Searching for animal models and potential target species for emerging pathogens: Experience gained from Middle East respiratory syndrome (MERS) coronavirus

Abstract

Emerging and re-emerging pathogens represent a substantial threat to public health, as demonstrated with numerous outbreaks over the past years, including the 2013–2016 outbreak of Ebola virus in western Africa. Coronaviruses are also a threat for humans, as evidenced in 2002/2003 with infection by the severe acute respiratory syndrome coronavirus (SARS-CoV), which caused more than 8000 human infections with 10% fatality rate in 37 countries. Ten years later, a novel human coronavirus (Middle East respiratory syndrome coronavirus, MERS-CoV), associated with severe pneumonia, arose in the Kingdom of Saudi Arabia. Until December 2016, MERS has accounted for more than 1800 cases and 35% fatality rate. Finding an animal model of disease is key to develop vaccines or antivirals against such emerging pathogens and to understand its pathogenesis. Knowledge of the potential role of domestic livestock and other animal species in the transmission of pathogens is of importance to understand the epidemiology of the disease. Little is known about MERS-CoV animal host range. In this paper, experimental data on potential hosts for MERS-CoV is reviewed. Advantages and limitations of different animal models are evaluated in relation to viral pathogenesis and transmission studies. Finally, the relevance of potential new target species is discussed.

Country
Spain
Subjects by Vocabulary

Medical Subject Headings: viruses virus diseases

Microsoft Academic Graph classification: Viral pathogenesis Disease medicine.disease_cause Case fatality rate Transmission (medicine) Middle East respiratory syndrome coronavirus Biology medicine Ebola virus Outbreak medicine.disease Virology Immunology Middle East respiratory syndrome

Library of Congress Subject Headings: lcsh:R5-920 lcsh:Medicine (General)

ACM Computing Classification System: TheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS ComputingMilieux_THECOMPUTINGPROFESSION TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES

Keywords

RDB, receptor binding domain, Viridae, PI, post-inoculation, Review Paper, biotic associations, corona viruses, HCoV, human coronaviruses, covid, MERS-CoV, Middle East respiratory syndrome coronavirus, Hdpp4, human dipeptidyl peptidase-4, Infectious Diseases, covid-19, Emerging pathogen, BSL, biosafety level, CETAF-taskforce, Coronaviridae, NHP, Nonhuman primates, SARS-CoV, severe acute respiratory syndrome coronavirus, WHO, World Health Organization, virus-host, hDPP4, human dipeptidyl peptidase-4, pathogen-host, Coronavirus (CoV), Middle East respiratory syndrome (MERS), Animal model, biotic relations, Reservoir, Public Health, Environmental and Occupational Health, pathogens, biotic interaction, FDA, Food and Drug Administration, URT, upper respiratory tract, DPP4, dipeptidyl peptidase-4

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    visibility views 17
    download downloads 127
  • citations
    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).
    16
    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 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
    Powered byBIP!BIP!
  • 17
    views
    127
    downloads
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visibility
download
citations
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
16
Top 10%
Average
Top 10%
17
127
Funded by
EC| ZAPI
Project
ZAPI
Zoonotic Anticipation and Preparedness Initiative
  • Funder: European Commission (EC)
  • Project Code: 115760
  • Funding stream: FP7 | SP1 | SP1-JTI
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