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Revealing the Micro-scale Signature of Endemic Zoonotic Disease Transmission in an African Urban Setting

Identifieur interne : 001799 ( Main/Exploration ); précédent : 001798; suivant : 001800

Revealing the Micro-scale Signature of Endemic Zoonotic Disease Transmission in an African Urban Setting

Auteurs : Hervé Bourhy [France] ; Emmanuel Nakouné [République centrafricaine] ; Matthew Hall [Royaume-Uni] ; Pierre Nouvellet [Royaume-Uni] ; Anthony Lepelletier [France] ; Chiraz Talbi [France] ; Laurence Watier [France] ; Edward C. Holmes [Australie] ; Simon Cauchemez [Royaume-Uni, France] ; Philippe Lemey [Belgique] ; Christl A. Donnelly [Royaume-Uni] ; Andrew Rambaut [Royaume-Uni, États-Unis]

Source :

RBID : PMC:4825935

Descripteurs français

English descriptors

Abstract

The development of novel approaches that combine epidemiological and genomic data provides new opportunities to reveal the spatiotemporal dynamics of infectious diseases and determine the processes responsible for their spread and maintenance. Taking advantage of detailed epidemiological time series and viral sequence data from more than 20 years reported by the National Reference Centre for Rabies of Bangui, the capital city of Central African Republic, we used a combination of mathematical modeling and phylogenetic analysis to determine the spatiotemporal dynamics of rabies in domestic dogs as well as the frequency of extinction and introduction events in an African city. We show that although dog rabies virus (RABV) appears to be endemic in Bangui, its epidemiology is in fact shaped by the regular extinction of local chains of transmission coupled with the introduction of new lineages, generating successive waves of spread. Notably, the effective reproduction number during each wave was rarely above the critical value of 1, such that rabies is not self-sustaining in Bangui. In turn, this suggests that rabies at local geographic scales is driven by human-mediated dispersal of RABV among sparsely connected peri-urban and rural areas as opposed to dispersion in a relatively large homogenous urban dog population. This combined epidemiological and genomic approach enables development of a comprehensive framework for understanding disease persistence and informing control measures, indicating that control measures are probably best targeted towards areas neighbouring the city that appear as the source of frequent incursions seeding outbreaks in Bangui.


Url:
DOI: 10.1371/journal.ppat.1005525
PubMed: 27058957
PubMed Central: 4825935


Affiliations:


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Le document en format XML

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<addr-line>Marie Bashir Institute for Infectious Diseases & Biosecurity, Charles Perkins Centre, School of Life and Environmental Sciences and Sydney Medical School, Sydney, Australia</addr-line>
</nlm:aff>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>Marie Bashir Institute for Infectious Diseases & Biosecurity, Charles Perkins Centre, School of Life and Environmental Sciences and Sydney Medical School, Sydney</wicri:regionArea>
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<settlement type="city">Sydney</settlement>
<region type="état">Nouvelle-Galles du Sud</region>
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</affiliation>
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<author>
<name sortKey="Cauchemez, Simon" sort="Cauchemez, Simon" uniqKey="Cauchemez S" first="Simon" last="Cauchemez">Simon Cauchemez</name>
<affiliation wicri:level="3">
<nlm:aff id="aff004">
<addr-line>Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom</addr-line>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Department of Infectious Disease Epidemiology, Imperial College London, London</wicri:regionArea>
<placeName>
<settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
</placeName>
</affiliation>
<affiliation wicri:level="3">
<nlm:aff id="aff005">
<addr-line>Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom</addr-line>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London</wicri:regionArea>
<placeName>
<settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
</placeName>
</affiliation>
<affiliation wicri:level="3">
<nlm:aff id="aff009">
<addr-line>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Paris, France</addr-line>
</nlm:aff>
<country xml:lang="fr">France</country>
<wicri:regionArea>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Paris</wicri:regionArea>
<placeName>
<region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
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</author>
<author>
<name sortKey="Lemey, Philippe" sort="Lemey, Philippe" uniqKey="Lemey P" first="Philippe" last="Lemey">Philippe Lemey</name>
<affiliation wicri:level="1">
<nlm:aff id="aff010">
<addr-line>Rega Institute, KU Leuven, Leuven, Belgium</addr-line>
</nlm:aff>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Rega Institute, KU Leuven, Leuven</wicri:regionArea>
<wicri:noRegion>Leuven</wicri:noRegion>
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</author>
<author>
<name sortKey="Donnelly, Christl A" sort="Donnelly, Christl A" uniqKey="Donnelly C" first="Christl A." last="Donnelly">Christl A. Donnelly</name>
<affiliation wicri:level="3">
<nlm:aff id="aff004">
<addr-line>Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom</addr-line>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Department of Infectious Disease Epidemiology, Imperial College London, London</wicri:regionArea>
<placeName>
<settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
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</affiliation>
<affiliation wicri:level="3">
<nlm:aff id="aff005">
<addr-line>Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom</addr-line>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London</wicri:regionArea>
<placeName>
<settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
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</author>
<author>
<name sortKey="Rambaut, Andrew" sort="Rambaut, Andrew" uniqKey="Rambaut A" first="Andrew" last="Rambaut">Andrew Rambaut</name>
<affiliation wicri:level="4">
<nlm:aff id="aff003">
<addr-line>Institute of Evolutionary Biology, University of Edinburgh, Ashworth Laboratories, Edinburgh, United Kingdom</addr-line>
</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Institute of Evolutionary Biology, University of Edinburgh, Ashworth Laboratories, Edinburgh</wicri:regionArea>
<placeName>
<settlement type="city">Édimbourg</settlement>
<region type="country">Écosse</region>
<settlement type="city">Édimbourg</settlement>
</placeName>
<orgName type="university">Université d'Édimbourg</orgName>
</affiliation>
<affiliation wicri:level="2">
<nlm:aff id="aff011">
<addr-line>Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Fogarty International Center, National Institutes of Health, Bethesda, Maryland</wicri:regionArea>
<placeName>
<region type="state">Maryland</region>
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</analytic>
<series>
<title level="j">PLoS Pathogens</title>
<idno type="ISSN">1553-7366</idno>
<idno type="eISSN">1553-7374</idno>
<imprint>
<date when="2016">2016</date>
</imprint>
</series>
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</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Animals</term>
<term>Central African Republic</term>
<term>Disease Transmission, Infectious (veterinary)</term>
<term>Dog Diseases (virology)</term>
<term>Dogs</term>
<term>Humans</term>
<term>Phylogeny</term>
<term>Rabies (transmission)</term>
<term>Rabies (veterinary)</term>
<term>Rabies virus (genetics)</term>
<term>Urban Population</term>
<term>Zoonoses (transmission)</term>
<term>Zoonoses (virology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Animaux</term>
<term>Chiens</term>
<term>Humains</term>
<term>Maladies des chiens (virologie)</term>
<term>Phylogénie</term>
<term>Population urbaine</term>
<term>Rage (maladie) (médecine vétérinaire)</term>
<term>Rage (maladie) (transmission)</term>
<term>République centrafricaine</term>
<term>Transmission de maladie infectieuse (médecine vétérinaire)</term>
<term>Virus de la rage (génétique)</term>
<term>Zoonoses (transmission)</term>
<term>Zoonoses (virologie)</term>
</keywords>
<keywords scheme="MESH" type="geographic" xml:lang="en">
<term>Central African Republic</term>
</keywords>
<keywords scheme="MESH" qualifier="genetics" xml:lang="en">
<term>Rabies virus</term>
</keywords>
<keywords scheme="MESH" qualifier="génétique" xml:lang="fr">
<term>Virus de la rage</term>
</keywords>
<keywords scheme="MESH" qualifier="médecine vétérinaire" xml:lang="fr">
<term>Rage (maladie)</term>
<term>Transmission de maladie infectieuse</term>
</keywords>
<keywords scheme="MESH" qualifier="transmission" xml:lang="en">
<term>Rabies</term>
<term>Zoonoses</term>
</keywords>
<keywords scheme="MESH" qualifier="veterinary" xml:lang="en">
<term>Disease Transmission, Infectious</term>
<term>Rabies</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr">
<term>Maladies des chiens</term>
<term>Zoonoses</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en">
<term>Dog Diseases</term>
<term>Zoonoses</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Animals</term>
<term>Dogs</term>
<term>Humans</term>
<term>Phylogeny</term>
<term>Urban Population</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Animaux</term>
<term>Chiens</term>
<term>Humains</term>
<term>Phylogénie</term>
<term>Population urbaine</term>
<term>Rage (maladie)</term>
<term>République centrafricaine</term>
<term>Zoonoses</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr">
<term>République centrafricaine</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>The development of novel approaches that combine epidemiological and genomic data provides new opportunities to reveal the spatiotemporal dynamics of infectious diseases and determine the processes responsible for their spread and maintenance. Taking advantage of detailed epidemiological time series and viral sequence data from more than 20 years reported by the National Reference Centre for Rabies of Bangui, the capital city of Central African Republic, we used a combination of mathematical modeling and phylogenetic analysis to determine the spatiotemporal dynamics of rabies in domestic dogs as well as the frequency of extinction and introduction events in an African city. We show that although dog rabies virus (RABV) appears to be endemic in Bangui, its epidemiology is in fact shaped by the regular extinction of local chains of transmission coupled with the introduction of new lineages, generating successive waves of spread. Notably, the effective reproduction number during each wave was rarely above the critical value of 1, such that rabies is not self-sustaining in Bangui. In turn, this suggests that rabies at local geographic scales is driven by human-mediated dispersal of RABV among sparsely connected peri-urban and rural areas as opposed to dispersion in a relatively large homogenous urban dog population. This combined epidemiological and genomic approach enables development of a comprehensive framework for understanding disease persistence and informing control measures, indicating that control measures are probably best targeted towards areas neighbouring the city that appear as the source of frequent incursions seeding outbreaks in Bangui.</p>
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