MERS coronavirus: data gaps for laboratory preparedness.
Identifieur interne : 001622 ( Main/Exploration ); précédent : 001621; suivant : 001623MERS coronavirus: data gaps for laboratory preparedness.
Auteurs : Rita De Sousa [Suède] ; Chantal Reusken [Pays-Bas] ; Marion Koopmans [Pays-Bas]Source :
- Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology [ 1873-5967 ] ; 2014.
Descripteurs français
- KwdFr :
- Animaux, Coronaviridae (), Coronaviridae (isolement et purification), Humains, Infections à coronavirus (diagnostic), Infections à coronavirus (virologie), Renforcement des capacités (tendances), Santé mondiale, Syndrome de détresse respiratoire de l'adulte (diagnostic), Syndrome de détresse respiratoire de l'adulte (virologie).
- MESH :
- diagnostic : Infections à coronavirus, Syndrome de détresse respiratoire de l'adulte.
- isolement et purification : Coronaviridae.
- tendances : Renforcement des capacités.
- virologie : Infections à coronavirus, Syndrome de détresse respiratoire de l'adulte.
- Animaux, Coronaviridae, Humains, Santé mondiale.
English descriptors
- KwdEn :
- Animals, Capacity Building (trends), Coronaviridae (classification), Coronaviridae (isolation & purification), Coronavirus Infections (diagnosis), Coronavirus Infections (virology), Global Health, Humans, Respiratory Distress Syndrome, Adult (diagnosis), Respiratory Distress Syndrome, Adult (virology).
- MESH :
- classification : Coronaviridae.
- diagnosis : Coronavirus Infections, Respiratory Distress Syndrome, Adult.
- isolation & purification : Coronaviridae.
- trends : Capacity Building.
- virology : Coronavirus Infections, Respiratory Distress Syndrome, Adult.
- Animals, Global Health, Humans.
Abstract
Since the emergence of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) in 2012, many questions remain on modes of transmission and sources of virus. In outbreak situations, especially with emerging organisms causing severe human disease, it is important to understand the full spectrum of disease, and shedding kinetics in relation to infectivity and the ability to transmit the microorganism. Laboratory response capacity during the early stages of an outbreak focuses on development of virological and immunological methods for patient diagnosis, for contact tracing, and for epidemiological studies into sources, modes of transmission, identification of risk groups, and animal reservoirs. However, optimal use of this core public health laboratory capacity requires a fundamental understanding of kinetics of viral shedding and antibody response, of assay validation and of interpretation of test outcomes. We reviewed available data from MERS-CoV case reports, and compared this with data on kinetics of shedding and immune response from published literature on other human coronaviruses (hCoVs). We identify and discuss important data gaps, and biases that limit the laboratory preparedness to this novel disease. Public health management will benefit from standardised reporting of methods used, details of test outcomes by sample type, sampling date, in relation to symptoms and risk factors, along with the currently reported demographic, clinical and epidemiological findings.
DOI: 10.1016/j.jcv.2013.10.030
PubMed: 24286807
Affiliations:
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In outbreak situations, especially with emerging organisms causing severe human disease, it is important to understand the full spectrum of disease, and shedding kinetics in relation to infectivity and the ability to transmit the microorganism. Laboratory response capacity during the early stages of an outbreak focuses on development of virological and immunological methods for patient diagnosis, for contact tracing, and for epidemiological studies into sources, modes of transmission, identification of risk groups, and animal reservoirs. However, optimal use of this core public health laboratory capacity requires a fundamental understanding of kinetics of viral shedding and antibody response, of assay validation and of interpretation of test outcomes. We reviewed available data from MERS-CoV case reports, and compared this with data on kinetics of shedding and immune response from published literature on other human coronaviruses (hCoVs). We identify and discuss important data gaps, and biases that limit the laboratory preparedness to this novel disease. Public health management will benefit from standardised reporting of methods used, details of test outcomes by sample type, sampling date, in relation to symptoms and risk factors, along with the currently reported demographic, clinical and epidemiological findings. </div></front></TEI><affiliations><list><country><li>Pays-Bas</li><li>Suède</li></country><region><li>Hollande-Méridionale</li><li>Svealand</li></region><settlement><li>Rotterdam</li><li>Stockholm</li></settlement></list><tree><country name="Suède"><region name="Svealand"><name sortKey="De Sousa, Rita" sort="De Sousa, Rita" uniqKey="De Sousa R" first="Rita" last="De Sousa">Rita De Sousa</name></region></country><country name="Pays-Bas"><region name="Hollande-Méridionale"><name sortKey="Reusken, Chantal" sort="Reusken, Chantal" uniqKey="Reusken C" first="Chantal" last="Reusken">Chantal Reusken</name></region><name sortKey="Koopmans, Marion" sort="Koopmans, Marion" uniqKey="Koopmans M" first="Marion" last="Koopmans">Marion Koopmans</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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