MersV1, PubMed, Checkpoint, bibRecord, 000B42

Risk factors for MERS coronavirus infection in dromedary camels in Burkina Faso, Ethiopia, and Morocco, 2015.

Identifieur interne : 000B42 ( PubMed/Checkpoint ); précédent : 000B41; suivant : 000B43

Risk factors for MERS coronavirus infection in dromedary camels in Burkina Faso, Ethiopia, and Morocco, 2015.

Auteurs : Eve Miguel [France] ; Véronique Chevalier [France] ; Gelagay Ayelet [Éthiopie] ; Med Nadir Ben Bencheikh [Maroc] ; Hiver Boussini [Burkina Faso] ; Daniel Kw Chu [République populaire de Chine] ; Ikhlass El Berbri [Maroc] ; Ouaffa Fassi-Fihri [Maroc] ; Bernard Faye [France] ; Getnet Fekadu [Éthiopie] ; Vladimir Grosbois [France] ; Bryan Cy Ng [République populaire de Chine] ; Ranawaka Apm Perera [République populaire de Chine] ; T Y So [République populaire de Chine] ; Amadou Traore [Burkina Faso] ; François Roger [France] ; Malik Peiris [République populaire de Chine]

Source :

Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin [ 1560-7917 ] ; 2017.

RBID : pubmed:28382915

Descripteurs français

KwdFr :
- ARN viral (analyse), Analyse de séquence d'ARN, Animaux, Burkina, Chameaux (virologie), Coronavirus du syndrome respiratoire du Moyen-Orient (génétique), Données de séquences moléculaires, Facteurs de risque, Flambées de maladies (médecine vétérinaire), Humains, Infections à coronavirus (diagnostic), Infections à coronavirus (médecine vétérinaire), Infections à coronavirus (sang), Infections à coronavirus (virologie), Infections à coronavirus (épidémiologie), Maroc, Réservoirs d'agents pathogènes (virologie), Zoonoses (diagnostic), Zoonoses (virologie), Zoonoses (épidémiologie), Éthiopie.
MESH :
- analyse : ARN viral.
- diagnostic : Infections à coronavirus, Zoonoses.
- génétique : Coronavirus du syndrome respiratoire du Moyen-Orient.
- médecine vétérinaire : Flambées de maladies, Infections à coronavirus.
- sang : Infections à coronavirus.
- virologie : Chameaux, Infections à coronavirus, Réservoirs d'agents pathogènes, Zoonoses.
- épidémiologie : Infections à coronavirus, Zoonoses.
- Analyse de séquence d'ARN, Animaux, Burkina, Données de séquences moléculaires, Facteurs de risque, Humains, Maroc, Éthiopie.

English descriptors

KwdEn :
- Animals, Burkina Faso, Camelus (virology), Coronavirus Infections (blood), Coronavirus Infections (diagnosis), Coronavirus Infections (epidemiology), Coronavirus Infections (veterinary), Coronavirus Infections (virology), Disease Outbreaks (veterinary), Disease Reservoirs (virology), Ethiopia, Humans, Middle East Respiratory Syndrome Coronavirus (genetics), Molecular Sequence Data, Morocco, RNA, Viral (analysis), Risk Factors, Sequence Analysis, RNA, Zoonoses (diagnosis), Zoonoses (epidemiology), Zoonoses (virology).
MESH :
- chemical , analysis : RNA, Viral.
- blood : Coronavirus Infections.
- diagnosis : Coronavirus Infections, Zoonoses.
- epidemiology : Coronavirus Infections, Zoonoses.
- genetics : Middle East Respiratory Syndrome Coronavirus.
- veterinary : Coronavirus Infections, Disease Outbreaks.
- virology : Camelus, Coronavirus Infections, Disease Reservoirs, Zoonoses.
- Animals, Burkina Faso, Ethiopia, Humans, Molecular Sequence Data, Morocco, Risk Factors, Sequence Analysis, RNA.

Abstract

Understanding Middle East respiratory syndrome coronavirus (MERS-CoV) transmission in dromedary camels is important, as they consitute a source of zoonotic infection to humans. To identify risk factors for MERS-CoV infection in camels bred in diverse conditions in Burkina Faso, Ethiopia and Morocco, blood samples and nasal swabs were sampled in February-March 2015. A relatively high MERS-CoV RNA rate was detected in Ethiopia (up to 15.7%; 95% confidence interval (CI): 8.2-28.0), followed by Burkina Faso (up to 12.2%; 95% CI: 7-20.4) and Morocco (up to 7.6%; 95% CI: 1.9-26.1). The RNA detection rate was higher in camels bred for milk or meat than in camels for transport (p = 0.01) as well as in younger camels (p = 0.06). High seropositivity rates (up to 100%; 95% CI: 100-100 and 99.4%; 95% CI: 95.4-99.9) were found in Morocco and Ethiopia, followed by Burkina Faso (up to 84.6%; 95% CI: 77.2-89.9). Seropositivity rates were higher in large/medium herds (≥51 camels) than small herds (p = 0.061), in camels raised for meat or milk than for transport (p = 0.01), and in nomadic or sedentary herds than in herds with a mix of these lifestyles (p < 0.005).

DOI: 10.2807/1560-7917.ES.2017.22.13.30498
PubMed: 28382915

Affiliations:

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Le document en format XML

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<author><name sortKey="Roger, Francois" sort="Roger, Francois" uniqKey="Roger F" first="François" last="Roger">François Roger</name>
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<author><name sortKey="Ben Bencheikh, Med Nadir" sort="Ben Bencheikh, Med Nadir" uniqKey="Ben Bencheikh M" first="Med Nadir" last="Ben Bencheikh">Med Nadir Ben Bencheikh</name>
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<country xml:lang="fr">République populaire de Chine</country>
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<wicri:noRegion>Hong Kong Special Adminstrative Region</wicri:noRegion>
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<author><name sortKey="El Berbri, Ikhlass" sort="El Berbri, Ikhlass" uniqKey="El Berbri I" first="Ikhlass" last="El Berbri">Ikhlass El Berbri</name>
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<author><name sortKey="Fassi Fihri, Ouaffa" sort="Fassi Fihri, Ouaffa" uniqKey="Fassi Fihri O" first="Ouaffa" last="Fassi-Fihri">Ouaffa Fassi-Fihri</name>
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<author><name sortKey="Faye, Bernard" sort="Faye, Bernard" uniqKey="Faye B" first="Bernard" last="Faye">Bernard Faye</name>
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<author><name sortKey="Fekadu, Getnet" sort="Fekadu, Getnet" uniqKey="Fekadu G" first="Getnet" last="Fekadu">Getnet Fekadu</name>
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<author><name sortKey="Grosbois, Vladimir" sort="Grosbois, Vladimir" uniqKey="Grosbois V" first="Vladimir" last="Grosbois">Vladimir Grosbois</name>
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<author><name sortKey="Ng, Bryan Cy" sort="Ng, Bryan Cy" uniqKey="Ng B" first="Bryan Cy" last="Ng">Bryan Cy Ng</name>
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<country xml:lang="fr">République populaire de Chine</country>
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<author><name sortKey="Perera, Ranawaka Apm" sort="Perera, Ranawaka Apm" uniqKey="Perera R" first="Ranawaka Apm" last="Perera">Ranawaka Apm Perera</name>
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<country xml:lang="fr">République populaire de Chine</country>
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<wicri:noRegion>Hong Kong Special Adminstrative Region</wicri:noRegion>
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<author><name sortKey="So, T Y" sort="So, T Y" uniqKey="So T" first="T Y" last="So">T Y So</name>
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<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>School of Public Health, The University of Hong Kong, Hong Kong Special Adminstrative Region</wicri:regionArea>
<wicri:noRegion>Hong Kong Special Adminstrative Region</wicri:noRegion>
</affiliation>
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<author><name sortKey="Traore, Amadou" sort="Traore, Amadou" uniqKey="Traore A" first="Amadou" last="Traore">Amadou Traore</name>
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<country xml:lang="fr">Burkina Faso</country>
<wicri:regionArea>INERA-CNRST, Ouagadougou</wicri:regionArea>
<wicri:noRegion>Ouagadougou</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Roger, Francois" sort="Roger, Francois" uniqKey="Roger F" first="François" last="Roger">François Roger</name>
<affiliation wicri:level="3"><nlm:affiliation>UMR CNRS, IRD, UM, 5290 MIVEGEC, Montpellier, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
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<placeName><region type="region">Occitanie (région administrative)</region>
<region type="old region">Languedoc-Roussillon</region>
<settlement type="city">Montpellier</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Peiris, Malik" sort="Peiris, Malik" uniqKey="Peiris M" first="Malik" last="Peiris">Malik Peiris</name>
<affiliation wicri:level="1"><nlm:affiliation>School of Public Health, The University of Hong Kong, Hong Kong Special Adminstrative Region, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
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<series><title level="j">Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin</title>
<idno type="eISSN">1560-7917</idno>
<imprint><date when="2017" type="published">2017</date>
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<term>Burkina Faso</term>
<term>Camelus (virology)</term>
<term>Coronavirus Infections (blood)</term>
<term>Coronavirus Infections (diagnosis)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (veterinary)</term>
<term>Coronavirus Infections (virology)</term>
<term>Disease Outbreaks (veterinary)</term>
<term>Disease Reservoirs (virology)</term>
<term>Ethiopia</term>
<term>Humans</term>
<term>Middle East Respiratory Syndrome Coronavirus (genetics)</term>
<term>Molecular Sequence Data</term>
<term>Morocco</term>
<term>RNA, Viral (analysis)</term>
<term>Risk Factors</term>
<term>Sequence Analysis, RNA</term>
<term>Zoonoses (diagnosis)</term>
<term>Zoonoses (epidemiology)</term>
<term>Zoonoses (virology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>ARN viral (analyse)</term>
<term>Analyse de séquence d'ARN</term>
<term>Animaux</term>
<term>Burkina</term>
<term>Chameaux (virologie)</term>
<term>Coronavirus du syndrome respiratoire du Moyen-Orient (génétique)</term>
<term>Données de séquences moléculaires</term>
<term>Facteurs de risque</term>
<term>Flambées de maladies (médecine vétérinaire)</term>
<term>Humains</term>
<term>Infections à coronavirus (diagnostic)</term>
<term>Infections à coronavirus (médecine vétérinaire)</term>
<term>Infections à coronavirus (sang)</term>
<term>Infections à coronavirus (virologie)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Maroc</term>
<term>Réservoirs d'agents pathogènes (virologie)</term>
<term>Zoonoses (diagnostic)</term>
<term>Zoonoses (virologie)</term>
<term>Zoonoses (épidémiologie)</term>
<term>Éthiopie</term>
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<term>Zoonoses</term>
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<term>Zoonoses</term>
</keywords>
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<term>Zoonoses</term>
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<keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Middle East Respiratory Syndrome Coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Coronavirus du syndrome respiratoire du Moyen-Orient</term>
</keywords>
<keywords scheme="MESH" qualifier="médecine vétérinaire" xml:lang="fr"><term>Flambées de maladies</term>
<term>Infections à coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="sang" xml:lang="fr"><term>Infections à coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="veterinary" xml:lang="en"><term>Coronavirus Infections</term>
<term>Disease Outbreaks</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Chameaux</term>
<term>Infections à coronavirus</term>
<term>Réservoirs d'agents pathogènes</term>
<term>Zoonoses</term>
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<term>Coronavirus Infections</term>
<term>Disease Reservoirs</term>
<term>Zoonoses</term>
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<term>Burkina Faso</term>
<term>Ethiopia</term>
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<front><div type="abstract" xml:lang="en">Understanding Middle East respiratory syndrome coronavirus (MERS-CoV) transmission in dromedary camels is important, as they consitute a source of zoonotic infection to humans. To identify risk factors for MERS-CoV infection in camels bred in diverse conditions in Burkina Faso, Ethiopia and Morocco, blood samples and nasal swabs were sampled in February-March 2015. A relatively high MERS-CoV RNA rate was detected in Ethiopia (up to 15.7%; 95% confidence interval (CI): 8.2-28.0), followed by Burkina Faso (up to 12.2%; 95% CI: 7-20.4) and Morocco (up to 7.6%; 95% CI: 1.9-26.1). The RNA detection rate was higher in camels bred for milk or meat than in camels for transport (p = 0.01) as well as in younger camels (p = 0.06). High seropositivity rates (up to 100%; 95% CI: 100-100 and 99.4%; 95% CI: 95.4-99.9) were found in Morocco and Ethiopia, followed by Burkina Faso (up to 84.6%; 95% CI: 77.2-89.9). Seropositivity rates were higher in large/medium herds (≥51 camels) than small herds (p = 0.061), in camels raised for meat or milk than for transport (p = 0.01), and in nomadic or sedentary herds than in herds with a mix of these lifestyles (p < 0.005).</div>
</front>
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<DateCompleted><Year>2017</Year>
<Month>05</Month>
<Day>29</Day>
</DateCompleted>
<DateRevised><Year>2018</Year>
<Month>11</Month>
<Day>13</Day>
</DateRevised>
<Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1560-7917</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>22</Volume>
<Issue>13</Issue>
<PubDate><Year>2017</Year>
<Month>Mar</Month>
<Day>30</Day>
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</JournalIssue>
<Title>Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin</Title>
<ISOAbbreviation>Euro Surveill.</ISOAbbreviation>
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<ArticleTitle>Risk factors for MERS coronavirus infection in dromedary camels in Burkina Faso, Ethiopia, and Morocco, 2015.</ArticleTitle>
<ELocationID EIdType="doi" ValidYN="Y">10.2807/1560-7917.ES.2017.22.13.30498</ELocationID>
<ELocationID EIdType="pii" ValidYN="Y">30498</ELocationID>
<Abstract><AbstractText>Understanding Middle East respiratory syndrome coronavirus (MERS-CoV) transmission in dromedary camels is important, as they consitute a source of zoonotic infection to humans. To identify risk factors for MERS-CoV infection in camels bred in diverse conditions in Burkina Faso, Ethiopia and Morocco, blood samples and nasal swabs were sampled in February-March 2015. A relatively high MERS-CoV RNA rate was detected in Ethiopia (up to 15.7%; 95% confidence interval (CI): 8.2-28.0), followed by Burkina Faso (up to 12.2%; 95% CI: 7-20.4) and Morocco (up to 7.6%; 95% CI: 1.9-26.1). The RNA detection rate was higher in camels bred for milk or meat than in camels for transport (p = 0.01) as well as in younger camels (p = 0.06). High seropositivity rates (up to 100%; 95% CI: 100-100 and 99.4%; 95% CI: 95.4-99.9) were found in Morocco and Ethiopia, followed by Burkina Faso (up to 84.6%; 95% CI: 77.2-89.9). Seropositivity rates were higher in large/medium herds (≥51 camels) than small herds (p = 0.061), in camels raised for meat or milk than for transport (p = 0.01), and in nomadic or sedentary herds than in herds with a mix of these lifestyles (p < 0.005).</AbstractText>
<CopyrightInformation>This article is copyright of The Authors, 2017.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Miguel</LastName>
<ForeName>Eve</ForeName>
<Initials>E</Initials>
<AffiliationInfo><Affiliation>Cirad UPR AGIRs, Montpellier, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>UMR CNRS, IRD, UM, 5290 MIVEGEC, Montpellier, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chevalier</LastName>
<ForeName>Véronique</ForeName>
<Initials>V</Initials>
<AffiliationInfo><Affiliation>Cirad UPR AGIRs, Montpellier, France.</Affiliation>
</AffiliationInfo>
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<ForeName>Gelagay</ForeName>
<Initials>G</Initials>
<AffiliationInfo><Affiliation>National Veterinary Institute, Addis Abeba, Ethiopia.</Affiliation>
</AffiliationInfo>
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<ForeName>Med Nadir</ForeName>
<Initials>MN</Initials>
<AffiliationInfo><Affiliation>Institut Agronomique Vétérinaire Hassan 2, Rabat, Morocco.</Affiliation>
</AffiliationInfo>
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<ForeName>Hiver</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>INERA-CNRST, Ouagadougou, Burkina Faso.</Affiliation>
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<ForeName>Daniel Kw</ForeName>
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<ForeName>Ikhlass</ForeName>
<Initials>I</Initials>
<AffiliationInfo><Affiliation>Institut Agronomique Vétérinaire Hassan 2, Rabat, Morocco.</Affiliation>
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<ForeName>Ouaffa</ForeName>
<Initials>O</Initials>
<AffiliationInfo><Affiliation>Institut Agronomique Vétérinaire Hassan 2, Rabat, Morocco.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Faye</LastName>
<ForeName>Bernard</ForeName>
<Initials>B</Initials>
<AffiliationInfo><Affiliation>Cirad UMR SELMET, Montpellier, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Fekadu</LastName>
<ForeName>Getnet</ForeName>
<Initials>G</Initials>
<AffiliationInfo><Affiliation>Haramaya university, Dire Dawa, Ethiopia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Grosbois</LastName>
<ForeName>Vladimir</ForeName>
<Initials>V</Initials>
<AffiliationInfo><Affiliation>Cirad UPR AGIRs, Montpellier, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ng</LastName>
<ForeName>Bryan Cy</ForeName>
<Initials>BC</Initials>
<AffiliationInfo><Affiliation>School of Public Health, The University of Hong Kong, Hong Kong Special Adminstrative Region, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Perera</LastName>
<ForeName>Ranawaka Apm</ForeName>
<Initials>RA</Initials>
<AffiliationInfo><Affiliation>School of Public Health, The University of Hong Kong, Hong Kong Special Adminstrative Region, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>So</LastName>
<ForeName>T Y</ForeName>
<Initials>TY</Initials>
<AffiliationInfo><Affiliation>School of Public Health, The University of Hong Kong, Hong Kong Special Adminstrative Region, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Traore</LastName>
<ForeName>Amadou</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>INERA-CNRST, Ouagadougou, Burkina Faso.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Roger</LastName>
<ForeName>François</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>UMR CNRS, IRD, UM, 5290 MIVEGEC, Montpellier, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Peiris</LastName>
<ForeName>Malik</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>School of Public Health, The University of Hong Kong, Hong Kong Special Adminstrative Region, China.</Affiliation>
</AffiliationInfo>
</Author>
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<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><GrantID>HHSN272201500006C</GrantID>
<Acronym>AI</Acronym>
<Agency>NIAID NIH HHS</Agency>
<Country>United States</Country>
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<MeshHeading><DescriptorName UI="D008969" MajorTopicYN="N">Molecular Sequence Data</DescriptorName>
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<MeshHeading><DescriptorName UI="D009018" MajorTopicYN="N">Morocco</DescriptorName>
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<MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName>
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<Keyword MajorTopicYN="N">West - East gradient</Keyword>
<Keyword MajorTopicYN="N">herd size</Keyword>
<Keyword MajorTopicYN="N">milking activities</Keyword>
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</Reference>
<Reference><Citation>Euro Surveill. 2013 Sep 19;18(38):null</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24084338</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>Burkina Faso</li>
<li>France</li>
<li>Maroc</li>
<li>République populaire de Chine</li>
<li>Éthiopie</li>
</country>
<region><li>Languedoc-Roussillon</li>
<li>Occitanie (région administrative)</li>
<li>Rabat-Salé-Kénitra</li>
</region>
<settlement><li>Montpellier</li>
<li>Rabat</li>
</settlement>
</list>
<tree><country name="France"><region name="Occitanie (région administrative)"><name sortKey="Miguel, Eve" sort="Miguel, Eve" uniqKey="Miguel E" first="Eve" last="Miguel">Eve Miguel</name>
</region>
<name sortKey="Chevalier, Veronique" sort="Chevalier, Veronique" uniqKey="Chevalier V" first="Véronique" last="Chevalier">Véronique Chevalier</name>
<name sortKey="Faye, Bernard" sort="Faye, Bernard" uniqKey="Faye B" first="Bernard" last="Faye">Bernard Faye</name>
<name sortKey="Grosbois, Vladimir" sort="Grosbois, Vladimir" uniqKey="Grosbois V" first="Vladimir" last="Grosbois">Vladimir Grosbois</name>
<name sortKey="Roger, Francois" sort="Roger, Francois" uniqKey="Roger F" first="François" last="Roger">François Roger</name>
</country>
<country name="Éthiopie"><noRegion><name sortKey="Ayelet, Gelagay" sort="Ayelet, Gelagay" uniqKey="Ayelet G" first="Gelagay" last="Ayelet">Gelagay Ayelet</name>
</noRegion>
<name sortKey="Fekadu, Getnet" sort="Fekadu, Getnet" uniqKey="Fekadu G" first="Getnet" last="Fekadu">Getnet Fekadu</name>
</country>
<country name="Maroc"><region name="Rabat-Salé-Kénitra"><name sortKey="Ben Bencheikh, Med Nadir" sort="Ben Bencheikh, Med Nadir" uniqKey="Ben Bencheikh M" first="Med Nadir" last="Ben Bencheikh">Med Nadir Ben Bencheikh</name>
</region>
<name sortKey="El Berbri, Ikhlass" sort="El Berbri, Ikhlass" uniqKey="El Berbri I" first="Ikhlass" last="El Berbri">Ikhlass El Berbri</name>
<name sortKey="Fassi Fihri, Ouaffa" sort="Fassi Fihri, Ouaffa" uniqKey="Fassi Fihri O" first="Ouaffa" last="Fassi-Fihri">Ouaffa Fassi-Fihri</name>
</country>
<country name="Burkina Faso"><noRegion><name sortKey="Boussini, Hiver" sort="Boussini, Hiver" uniqKey="Boussini H" first="Hiver" last="Boussini">Hiver Boussini</name>
</noRegion>
<name sortKey="Traore, Amadou" sort="Traore, Amadou" uniqKey="Traore A" first="Amadou" last="Traore">Amadou Traore</name>
</country>
<country name="République populaire de Chine"><noRegion><name sortKey="Chu, Daniel Kw" sort="Chu, Daniel Kw" uniqKey="Chu D" first="Daniel Kw" last="Chu">Daniel Kw Chu</name>
</noRegion>
<name sortKey="Ng, Bryan Cy" sort="Ng, Bryan Cy" uniqKey="Ng B" first="Bryan Cy" last="Ng">Bryan Cy Ng</name>
<name sortKey="Peiris, Malik" sort="Peiris, Malik" uniqKey="Peiris M" first="Malik" last="Peiris">Malik Peiris</name>
<name sortKey="Perera, Ranawaka Apm" sort="Perera, Ranawaka Apm" uniqKey="Perera R" first="Ranawaka Apm" last="Perera">Ranawaka Apm Perera</name>
<name sortKey="So, T Y" sort="So, T Y" uniqKey="So T" first="T Y" last="So">T Y So</name>
</country>
</tree>
</affiliations>
</record>

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   |texte=   Risk factors for MERS coronavirus infection in dromedary camels in Burkina Faso, Ethiopia, and Morocco, 2015.
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	Serveur d'exploration MERS
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Serveur d'exploration MERS

Risk factors for MERS coronavirus infection in dromedary camels in Burkina Faso, Ethiopia, and Morocco, 2015.

Risk factors for MERS coronavirus infection in dromedary camels in Burkina Faso, Ethiopia, and Morocco, 2015.

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