Quantifying spatiotemporal heterogeneity of MERS-CoV transmission in the Middle East region: A combined modelling approach
Identifieur interne : 000081 ( France/Analysis ); précédent : 000080; suivant : 000082Quantifying spatiotemporal heterogeneity of MERS-CoV transmission in the Middle East region: A combined modelling approach
Auteurs : Chiara Poletto [France] ; Vittoria Colizza [France, Italie] ; Pierre-Yves Boëlle [France]Source :
- Epidemics [ 1755-4365 ] ; 2015.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- epidemiology : Coronavirus Infections, Middle East.
- transmission : Coronavirus Infections.
- Epidemics, Humans, Incidence, Middle East Respiratory Syndrome Coronavirus, Spatio-Temporal Analysis, Stochastic Processes.
- mix :
Abstract
We modelled MERS epidemic in the Middle East region up to September 2014. We assessed spatiotemporal variation in zoonotic and human transmission. Spring 2014 wave showed a 17-fold and 3-fold increase in the above transmissions. Zoonotic transmission has a larger spatial heterogeneity than human transmission. Human transmission is more frequent than expected (75% of cases vs. 34%).
Url:
DOI: 10.1016/j.epidem.2015.12.001
PubMed: 27266844
PubMed Central: 7104927
Affiliations:
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PMC:7104927Le document en format XML
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sortKey="Colizza, Vittoria" sort="Colizza, Vittoria" uniqKey="Colizza V" first="Vittoria" last="Colizza">Vittoria Colizza</name><affiliation wicri:level="3"><nlm:aff id="aff0005">Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d’épidémiologie et de Santé Publique (IPLESP UMRS 1136), F75012, 27 rue Chaligny, Paris 75012, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d’épidémiologie et de Santé Publique (IPLESP UMRS 1136), F75012, 27 rue Chaligny, Paris 75012</wicri:regionArea><placeName><region type="region" nuts="2">Île-de-France</region></placeName></affiliation><affiliation wicri:level="1"><nlm:aff id="aff0010">Institute for Scientific Interchange Foundation, via Alassio 11/c, Torino 10126, Italy</nlm:aff><country xml:lang="fr">Italie</country><wicri:regionArea>Institute for Scientific Interchange Foundation, via Alassio 11/c, Torino 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type="eISSN">1878-0067</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Coronavirus Infections (epidemiology)</term><term>Coronavirus Infections (transmission)</term><term>Epidemics</term><term>Humans</term><term>Incidence</term><term>Middle East (epidemiology)</term><term>Middle East Respiratory Syndrome Coronavirus</term><term>Spatio-Temporal Analysis</term><term>Stochastic Processes</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse spatio-temporelle</term><term>Coronavirus du syndrome respiratoire du Moyen-Orient</term><term>Humains</term><term>Incidence</term><term>Infections à coronavirus (transmission)</term><term>Infections à coronavirus (épidémiologie)</term><term>Moyen Orient (épidémiologie)</term><term>Processus stochastiques</term><term>Épidémies</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Middle East</term></keywords><keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Coronavirus Infections</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Moyen Orient</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Epidemics</term><term>Humans</term><term>Incidence</term><term>Middle East Respiratory Syndrome Coronavirus</term><term>Spatio-Temporal Analysis</term><term>Stochastic Processes</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse spatio-temporelle</term><term>Coronavirus du syndrome respiratoire du Moyen-Orient</term><term>Humains</term><term>Incidence</term><term>Processus stochastiques</term><term>Épidémies</term></keywords><keywords scheme="mix" xml:lang="en"><term>Middle East respiratory syndrome</term><term>Multi-mode transmission</term><term>Outbreak analysis</term><term>Spatiotemporal heterogeneity</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><title>Highlights</title><p><list list-type="simple" id="lis0005"><list-item id="lsti0005"><label>•</label><p id="par0005">We modelled MERS epidemic in the Middle East region up to September 2014.</p></list-item><list-item id="lsti0010"><label>•</label><p id="par0010">We assessed spatiotemporal variation in zoonotic and human transmission.</p></list-item><list-item id="lsti0015"><label>•</label><p id="par0015">Spring 2014 wave showed a 17-fold and 3-fold increase in the above transmissions.</p></list-item><list-item id="lsti0020"><label>•</label><p id="par0020">Zoonotic transmission has a larger spatial heterogeneity than human transmission.</p></list-item><list-item id="lsti0025"><label>•</label><p id="par0025">Human transmission is more frequent than expected (75% of cases vs. 34%).</p></list-item></list></p></div></front><back><div1 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Elzein</name></author><author><name sortKey="Matin, M A" uniqKey="Matin M">M.A. Matin</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="The Who Mers Cov Research Group" uniqKey="The Who Mers Cov Research Group">The WHO MERS-CoV Research Group</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wallinga, J" uniqKey="Wallinga J">J. Wallinga</name></author><author><name sortKey="Teunis, P" uniqKey="Teunis P">P. Teunis</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wernery, U" uniqKey="Wernery U">U. Wernery</name></author><author><name sortKey="Corman, V M" uniqKey="Corman V">V.M. Corman</name></author><author><name sortKey="Wong, E Y M" uniqKey="Wong E">E.Y.M. Wong</name></author><author><name sortKey="Tsang, A K L" uniqKey="Tsang A">A.K.L. Tsang</name></author><author><name sortKey="Muth, D" uniqKey="Muth D">D. 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Lau</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>France</li><li>Italie</li></country><region><li>Piémont</li><li>Île-de-France</li></region><settlement><li>Turin</li></settlement></list><tree><country name="France"><region name="Île-de-France"><name sortKey="Poletto, Chiara" sort="Poletto, Chiara" uniqKey="Poletto C" first="Chiara" last="Poletto">Chiara Poletto</name></region><name sortKey="Boelle, Pierre Yves" sort="Boelle, Pierre Yves" uniqKey="Boelle P" first="Pierre-Yves" last="Boëlle">Pierre-Yves Boëlle</name><name sortKey="Colizza, Vittoria" sort="Colizza, Vittoria" uniqKey="Colizza V" first="Vittoria" last="Colizza">Vittoria Colizza</name></country><country name="Italie"><region name="Piémont"><name sortKey="Colizza, Vittoria" sort="Colizza, Vittoria" uniqKey="Colizza V" first="Vittoria" last="Colizza">Vittoria Colizza</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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|texte= Quantifying spatiotemporal heterogeneity of MERS-CoV transmission in the Middle East region: A combined modelling approach
}}
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