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Use of wildlife rehabilitation centres in pathogen surveillance: A case study in white storks (Ciconia ciconia).

Identifieur interne : 000125 ( Main/Exploration ); précédent : 000124; suivant : 000126

Use of wildlife rehabilitation centres in pathogen surveillance: A case study in white storks (Ciconia ciconia).

Auteurs : Mariacruz Camacho [Espagne] ; Jose Manuel Hernández [Espagne] ; Jose Francisco Lima-Barbero [Espagne] ; Ursula Höfle [Espagne]

Source :

RBID : pubmed:27435653

Descripteurs français

English descriptors

Abstract

More than 70% of new human pathogens are zoonotic and many originate from the wildlife reservoir. Wildlife rehabilitation centres (WRC) are an easily accessible source for sample and data collection for preventive surveillance, but data collected this way may be biased. We use white storks (Ciconia ciconia) as a model to compare pathogen prevalence obtained in the field and WRC. We address factors that may affect disease prevalence data like origin, the age group and the "diseased" state of WRC admissions. In this study we compared prevalence of Escherichia coli and Salmonella spp. in the digestive tract; antibodies against West Nile virus, avian influenza and Newcastle disease virus, and antimicrobial resistance patterns of E. coli between nestling and adult wild storks established in different habitats (n=90) and storks admitted to two different WRC (n=30) in the same region. When age groups and colonies of origin were disregarded, the mean enterobacteria (E. coli, Salmonella) and viral antibody prevalence of the wild population (n=90) were similar to prevalence observed in the individuals admitted to WRC (n=30). However, in fledgling juvenile storks admitted to WRC, the prevalence of Salmonella spp. (13.3%), E. coli showing resistance to cefotaxime (37.9%) and against two antimicrobials at once (41.4%) were more similar to the prevalence in stork nestlings from landfill-associated colonies (7.9%, 37.1% and 48.6%, respectively for prevalence of Salmonella spp. and E. coli displaying, cefotaxime resistance and resistance against two antimicrobials), and significantly higher than in colonies located in natural habitats (0%; 10.5% and 15.8%, respectively). Thus, pathogen surveillance in individuals from an abundant species admitted to WRC is useful to monitor overall mean prevalence, but for certain pathogens may not be sufficient to detect differences between local populations. In addition, the ecology of the tested species and the specific temporal, spatial and age group distribution of WRC admissions have to be taken into account.

DOI: 10.1016/j.prevetmed.2016.06.012
PubMed: 27435653


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Le document en format XML

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<div type="abstract" xml:lang="en">More than 70% of new human pathogens are zoonotic and many originate from the wildlife reservoir. Wildlife rehabilitation centres (WRC) are an easily accessible source for sample and data collection for preventive surveillance, but data collected this way may be biased. We use white storks (Ciconia ciconia) as a model to compare pathogen prevalence obtained in the field and WRC. We address factors that may affect disease prevalence data like origin, the age group and the "diseased" state of WRC admissions. In this study we compared prevalence of Escherichia coli and Salmonella spp. in the digestive tract; antibodies against West Nile virus, avian influenza and Newcastle disease virus, and antimicrobial resistance patterns of E. coli between nestling and adult wild storks established in different habitats (n=90) and storks admitted to two different WRC (n=30) in the same region. When age groups and colonies of origin were disregarded, the mean enterobacteria (E. coli, Salmonella) and viral antibody prevalence of the wild population (n=90) were similar to prevalence observed in the individuals admitted to WRC (n=30). However, in fledgling juvenile storks admitted to WRC, the prevalence of Salmonella spp. (13.3%), E. coli showing resistance to cefotaxime (37.9%) and against two antimicrobials at once (41.4%) were more similar to the prevalence in stork nestlings from landfill-associated colonies (7.9%, 37.1% and 48.6%, respectively for prevalence of Salmonella spp. and E. coli displaying, cefotaxime resistance and resistance against two antimicrobials), and significantly higher than in colonies located in natural habitats (0%; 10.5% and 15.8%, respectively). Thus, pathogen surveillance in individuals from an abundant species admitted to WRC is useful to monitor overall mean prevalence, but for certain pathogens may not be sufficient to detect differences between local populations. In addition, the ecology of the tested species and the specific temporal, spatial and age group distribution of WRC admissions have to be taken into account. </div>
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<AbstractText>More than 70% of new human pathogens are zoonotic and many originate from the wildlife reservoir. Wildlife rehabilitation centres (WRC) are an easily accessible source for sample and data collection for preventive surveillance, but data collected this way may be biased. We use white storks (Ciconia ciconia) as a model to compare pathogen prevalence obtained in the field and WRC. We address factors that may affect disease prevalence data like origin, the age group and the "diseased" state of WRC admissions. In this study we compared prevalence of Escherichia coli and Salmonella spp. in the digestive tract; antibodies against West Nile virus, avian influenza and Newcastle disease virus, and antimicrobial resistance patterns of E. coli between nestling and adult wild storks established in different habitats (n=90) and storks admitted to two different WRC (n=30) in the same region. When age groups and colonies of origin were disregarded, the mean enterobacteria (E. coli, Salmonella) and viral antibody prevalence of the wild population (n=90) were similar to prevalence observed in the individuals admitted to WRC (n=30). However, in fledgling juvenile storks admitted to WRC, the prevalence of Salmonella spp. (13.3%), E. coli showing resistance to cefotaxime (37.9%) and against two antimicrobials at once (41.4%) were more similar to the prevalence in stork nestlings from landfill-associated colonies (7.9%, 37.1% and 48.6%, respectively for prevalence of Salmonella spp. and E. coli displaying, cefotaxime resistance and resistance against two antimicrobials), and significantly higher than in colonies located in natural habitats (0%; 10.5% and 15.8%, respectively). Thus, pathogen surveillance in individuals from an abundant species admitted to WRC is useful to monitor overall mean prevalence, but for certain pathogens may not be sufficient to detect differences between local populations. In addition, the ecology of the tested species and the specific temporal, spatial and age group distribution of WRC admissions have to be taken into account. </AbstractText>
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<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D014902" MajorTopicYN="N">West Nile virus</DescriptorName>
<QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="N">Antimicrobial resistance</Keyword>
<Keyword MajorTopicYN="N">Enterobacteriaceae</Keyword>
<Keyword MajorTopicYN="N">Landfills</Keyword>
<Keyword MajorTopicYN="N">Surveillance</Keyword>
<Keyword MajorTopicYN="N">White stork</Keyword>
<Keyword MajorTopicYN="N">Wildlife rehabilitation centre</Keyword>
</KeywordList>
</MedlineCitation>
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<PubMedPubDate PubStatus="received">
<Year>2015</Year>
<Month>12</Month>
<Day>04</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised">
<Year>2016</Year>
<Month>06</Month>
<Day>15</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted">
<Year>2016</Year>
<Month>06</Month>
<Day>21</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez">
<Year>2016</Year>
<Month>7</Month>
<Day>21</Day>
<Hour>6</Hour>
<Minute>0</Minute>
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<PubMedPubDate PubStatus="pubmed">
<Year>2016</Year>
<Month>7</Month>
<Day>21</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline">
<Year>2017</Year>
<Month>4</Month>
<Day>21</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">27435653</ArticleId>
<ArticleId IdType="pii">S0167-5877(16)30184-2</ArticleId>
<ArticleId IdType="doi">10.1016/j.prevetmed.2016.06.012</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations>
<list>
<country>
<li>Espagne</li>
</country>
<region>
<li>Castille-La Manche</li>
</region>
</list>
<tree>
<country name="Espagne">
<region name="Castille-La Manche">
<name sortKey="Camacho, Mariacruz" sort="Camacho, Mariacruz" uniqKey="Camacho M" first="Mariacruz" last="Camacho">Mariacruz Camacho</name>
</region>
<name sortKey="Hernandez, Jose Manuel" sort="Hernandez, Jose Manuel" uniqKey="Hernandez J" first="Jose Manuel" last="Hernández">Jose Manuel Hernández</name>
<name sortKey="Hofle, Ursula" sort="Hofle, Ursula" uniqKey="Hofle U" first="Ursula" last="Höfle">Ursula Höfle</name>
<name sortKey="Lima Barbero, Jose Francisco" sort="Lima Barbero, Jose Francisco" uniqKey="Lima Barbero J" first="Jose Francisco" last="Lima-Barbero">Jose Francisco Lima-Barbero</name>
</country>
</tree>
</affiliations>
</record>

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