Interhuman transmissibility of Middle East respiratory syndrome coronavirus: estimation of pandemic risk
Identifieur interne : 000164 ( France/Extraction ); précédent : 000163; suivant : 000165Interhuman transmissibility of Middle East respiratory syndrome coronavirus: estimation of pandemic risk
Auteurs : Romulus Breban [France] ; Julien Riou [France] ; Arnaud Fontanet [France]Source :
- Lancet : (British edition) [ 0140-6736 ] ; 2013.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Analyse de regroupements, Enfant, Enfant d'âge préscolaire, Femelle, Humains, Jeune adulte, Moyen Orient (épidémiologie), Mâle, Pandémies, Sujet âgé, Sujet âgé de 80 ans ou plus, Syndrome respiratoire aigu sévère (mortalité), Syndrome respiratoire aigu sévère (transmission), Évaluation des risques.
- MESH :
- mortalité : Syndrome respiratoire aigu sévère.
- épidémiologie : Moyen Orient, Syndrome respiratoire aigu sévère.
- Pascal (Inist)
- Adolescent, Adulte, Adulte d'âge moyen, Analyse de regroupements, Enfant, Enfant d'âge préscolaire, Femelle, Humains, Jeune adulte, Moyen Orient, Appareil respiratoire, Mâle, Pandémies, Sujet âgé, Sujet âgé de 80 ans ou plus, Voie respiratoire, Syndrome, Coronavirus, Estimation, Santé publique, Monde, Facteur risque, Risque, Médecine, Pandémie, Évaluation des risques.
- Wicri :
- topic : Santé publique, Médecine.
English descriptors
- KwdEn :
- Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Cluster Analysis, Coronavirus, Estimation, Female, Humans, Male, Medicine, Middle Aged, Middle East (epidemiology), Middle east, Pandemics, Public health, Respiratory system, Respiratory tract, Risk, Risk Assessment, Risk factor, Severe Acute Respiratory Syndrome (mortality), Severe Acute Respiratory Syndrome (transmission), Syndrome, World, Young Adult.
- MESH :
- geographic , epidemiology : Middle East.
- mortality : Severe Acute Respiratory Syndrome.
- transmission : Severe Acute Respiratory Syndrome.
- Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Cluster Analysis, Female, Humans, Male, Middle Aged, Pandemics, Risk Assessment, Young Adult.
Abstract
Background The new Middle East respiratory syndrome coronavirus (MERS-CoV) infection shares many clinical, epidemiological, and virological similarities with that of severe acute respiratory syndrome (SARS)-CoV. We aimed to estimate virus transmissibility and the epidemic potential of MERS-CoV, and to compare the results with similar findings obtained for prepandemic SARS. Methods We retrieved data for MERS-CoV clusters from the WHO summary and subsequent reports, and published descriptions of cases, and took into account 55 of the 64 laboratory-confirmed cases of MERS-CoV reported as of June 21, 2013, excluding cases notified in the previous 2 weeks. To assess the interhuman transmissibility of MERS-CoV, we used Bayesian analysis to estimate the basic reproduction number (R0) and compared it to that of prepandemic SARS. We considered two scenarios, depending on the interpretation of the MERS-CoV cluster-size data. Results With our most pessimistic scenario (scenario 2), we estimated MERS-CoV R0 to be 0.69 (95% CI 0.50-0.92); by contrast, the R0 for prepandemic SARS-CoV was 0.80 (0.54-1.13). Our optimistic scenario (scenario 1) yielded a MERS-CoV R0 of 0.60 (0.42-0.80). Because of recent implementation of effective contact tracing and isolation procedures, further MERS-CoV transmission data might no longer describe an entire cluster, but only secondary infections directly caused by the index patient. Hence, we calculated that, under scenario 2, eight or more secondary infections caused by the next index patient would translate into a 5% or higher chance that the revised MERS-CoV R0 would exceed 1-ie, that MERS-CoV might have pandemic potential. Interpretation Our analysis suggests that MERS-CoV does not yet have pandemic potential. We recommend enhanced surveillance, active contact tracing, and vigorous searches for the MERS-CoV animal hosts and transmission routes to human beings. Funding Agence Nationale de la Recherche (Labex Integrative Biology of Emerging Infectious Diseases), and the European Community's Seventh Framework Programme project PREDEMICS.
Url:
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 000023
- to stream PascalFrancis, to step Curation: 000964
- to stream PascalFrancis, to step Checkpoint: 000020
- to stream Main, to step Merge: 001C16
- to stream Pmc, to step Corpus: 001258
- to stream Pmc, to step Curation: 001258
- to stream Pmc, to step Checkpoint: 000972
- to stream PubMed, to step Corpus: 001169
- to stream PubMed, to step Curation: 001169
- to stream PubMed, to step Checkpoint: 001149
- to stream Ncbi, to step Merge: 002705
- to stream Ncbi, to step Curation: 002705
- to stream Ncbi, to step Checkpoint: 002705
- to stream Main, to step Merge: 001916
- to stream Main, to step Curation: 001C06
- to stream Main, to step Exploration: 001C06
Links to Exploration step
Pascal:13-0277651Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Interhuman transmissibility of Middle East respiratory syndrome coronavirus: estimation of pandemic risk</title>
<author><name sortKey="Breban, Romulus" sort="Breban, Romulus" uniqKey="Breban R" first="Romulus" last="Breban">Romulus Breban</name>
<affiliation wicri:level="3"><inist:fA14 i1="01"><s1>Institut Pasteur, Emerging Diseases Epidemiology Unit</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Riou, Julien" sort="Riou, Julien" uniqKey="Riou J" first="Julien" last="Riou">Julien Riou</name>
<affiliation wicri:level="3"><inist:fA14 i1="01"><s1>Institut Pasteur, Emerging Diseases Epidemiology Unit</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Fontanet, Arnaud" sort="Fontanet, Arnaud" uniqKey="Fontanet A" first="Arnaud" last="Fontanet">Arnaud Fontanet</name>
<affiliation wicri:level="3"><inist:fA14 i1="01"><s1>Institut Pasteur, Emerging Diseases Epidemiology Unit</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="3"><inist:fA14 i1="02"><s1>Conservatoire National des Arts et Métiers</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">13-0277651</idno>
<date when="2013">2013</date>
<idno type="stanalyst">PASCAL 13-0277651 INIST</idno>
<idno type="RBID">Pascal:13-0277651</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000023</idno>
<idno type="wicri:Area/PascalFrancis/Curation">000964</idno>
<idno type="wicri:Area/PascalFrancis/Checkpoint">000020</idno>
<idno type="wicri:explorRef" wicri:stream="PascalFrancis" wicri:step="Checkpoint">000020</idno>
<idno type="wicri:doubleKey">0140-6736:2013:Breban R:interhuman:transmissibility:of</idno>
<idno type="wicri:Area/Main/Merge">001C16</idno>
<idno type="wicri:source">PMC</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7159280</idno>
<idno type="RBID">PMC:7159280</idno>
<idno type="wicri:Area/Pmc/Corpus">001258</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001258</idno>
<idno type="wicri:Area/Pmc/Curation">001258</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">001258</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000972</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000972</idno>
<idno type="wicri:source">PubMed</idno>
<idno type="RBID">pubmed:23831141</idno>
<idno type="wicri:Area/PubMed/Corpus">001169</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">001169</idno>
<idno type="wicri:Area/PubMed/Curation">001169</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">001169</idno>
<idno type="wicri:Area/PubMed/Checkpoint">001149</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">001149</idno>
<idno type="wicri:Area/Ncbi/Merge">002705</idno>
<idno type="wicri:Area/Ncbi/Curation">002705</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">002705</idno>
<idno type="wicri:doubleKey">0140-6736:2013:Breban R:interhuman:transmissibility:of</idno>
<idno type="wicri:Area/Main/Merge">001916</idno>
<idno type="wicri:Area/Main/Curation">001C06</idno>
<idno type="wicri:Area/Main/Exploration">001C06</idno>
<idno type="wicri:Area/France/Extraction">000164</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Interhuman transmissibility of Middle East respiratory syndrome coronavirus: estimation of pandemic risk</title>
<author><name sortKey="Breban, Romulus" sort="Breban, Romulus" uniqKey="Breban R" first="Romulus" last="Breban">Romulus Breban</name>
<affiliation wicri:level="3"><inist:fA14 i1="01"><s1>Institut Pasteur, Emerging Diseases Epidemiology Unit</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Riou, Julien" sort="Riou, Julien" uniqKey="Riou J" first="Julien" last="Riou">Julien Riou</name>
<affiliation wicri:level="3"><inist:fA14 i1="01"><s1>Institut Pasteur, Emerging Diseases Epidemiology Unit</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Fontanet, Arnaud" sort="Fontanet, Arnaud" uniqKey="Fontanet A" first="Arnaud" last="Fontanet">Arnaud Fontanet</name>
<affiliation wicri:level="3"><inist:fA14 i1="01"><s1>Institut Pasteur, Emerging Diseases Epidemiology Unit</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="3"><inist:fA14 i1="02"><s1>Conservatoire National des Arts et Métiers</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Lancet : (British edition)</title>
<title level="j" type="abbreviated">Lancet : (Br. ed.)</title>
<idno type="ISSN">0140-6736</idno>
<imprint><date when="2013">2013</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Lancet : (British edition)</title>
<title level="j" type="abbreviated">Lancet : (Br. ed.)</title>
<idno type="ISSN">0140-6736</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Cluster Analysis</term>
<term>Coronavirus</term>
<term>Estimation</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Medicine</term>
<term>Middle Aged</term>
<term>Middle East (epidemiology)</term>
<term>Middle east</term>
<term>Pandemics</term>
<term>Public health</term>
<term>Respiratory system</term>
<term>Respiratory tract</term>
<term>Risk</term>
<term>Risk Assessment</term>
<term>Risk factor</term>
<term>Severe Acute Respiratory Syndrome (mortality)</term>
<term>Severe Acute Respiratory Syndrome (transmission)</term>
<term>Syndrome</term>
<term>World</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Analyse de regroupements</term>
<term>Enfant</term>
<term>Enfant d'âge préscolaire</term>
<term>Femelle</term>
<term>Humains</term>
<term>Jeune adulte</term>
<term>Moyen Orient (épidémiologie)</term>
<term>Mâle</term>
<term>Pandémies</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Syndrome respiratoire aigu sévère (mortalité)</term>
<term>Syndrome respiratoire aigu sévère (transmission)</term>
<term>Évaluation des risques</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Middle East</term>
</keywords>
<keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Severe Acute Respiratory Syndrome</term>
</keywords>
<keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Syndrome respiratoire aigu sévère</term>
</keywords>
<keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Severe Acute Respiratory Syndrome</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Moyen Orient</term>
<term>Syndrome respiratoire aigu sévère</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Cluster Analysis</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>Risk Assessment</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Analyse de regroupements</term>
<term>Enfant</term>
<term>Enfant d'âge préscolaire</term>
<term>Femelle</term>
<term>Humains</term>
<term>Jeune adulte</term>
<term>Moyen Orient</term>
<term>Appareil respiratoire</term>
<term>Mâle</term>
<term>Pandémies</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Voie respiratoire</term>
<term>Syndrome</term>
<term>Coronavirus</term>
<term>Estimation</term>
<term>Santé publique</term>
<term>Monde</term>
<term>Facteur risque</term>
<term>Risque</term>
<term>Médecine</term>
<term>Pandémie</term>
<term>Évaluation des risques</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Santé publique</term>
<term>Médecine</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Background The new Middle East respiratory syndrome coronavirus (MERS-CoV) infection shares many clinical, epidemiological, and virological similarities with that of severe acute respiratory syndrome (SARS)-CoV. We aimed to estimate virus transmissibility and the epidemic potential of MERS-CoV, and to compare the results with similar findings obtained for prepandemic SARS. Methods We retrieved data for MERS-CoV clusters from the WHO summary and subsequent reports, and published descriptions of cases, and took into account 55 of the 64 laboratory-confirmed cases of MERS-CoV reported as of June 21, 2013, excluding cases notified in the previous 2 weeks. To assess the interhuman transmissibility of MERS-CoV, we used Bayesian analysis to estimate the basic reproduction number (R<sub>0</sub>
) and compared it to that of prepandemic SARS. We considered two scenarios, depending on the interpretation of the MERS-CoV cluster-size data. Results With our most pessimistic scenario (scenario 2), we estimated MERS-CoV R<sub>0</sub>
to be 0.69 (95% CI 0.50-0.92); by contrast, the R<sub>0</sub>
for prepandemic SARS-CoV was 0.80 (0.54-1.13). Our optimistic scenario (scenario 1) yielded a MERS-CoV R<sub>0</sub>
of 0.60 (0.42-0.80). Because of recent implementation of effective contact tracing and isolation procedures, further MERS-CoV transmission data might no longer describe an entire cluster, but only secondary infections directly caused by the index patient. Hence, we calculated that, under scenario 2, eight or more secondary infections caused by the next index patient would translate into a 5% or higher chance that the revised MERS-CoV R<sub>0</sub>
would exceed 1-ie, that MERS-CoV might have pandemic potential. Interpretation Our analysis suggests that MERS-CoV does not yet have pandemic potential. We recommend enhanced surveillance, active contact tracing, and vigorous searches for the MERS-CoV animal hosts and transmission routes to human beings. Funding Agence Nationale de la Recherche (Labex Integrative Biology of Emerging Infectious Diseases), and the European Community's Seventh Framework Programme project PREDEMICS.</div>
</front>
</TEI>
<affiliations><list><country><li>France</li>
</country>
<region><li>Île-de-France</li>
</region>
<settlement><li>Paris</li>
</settlement>
</list>
<tree><country name="France"><region name="Île-de-France"><name sortKey="Breban, Romulus" sort="Breban, Romulus" uniqKey="Breban R" first="Romulus" last="Breban">Romulus Breban</name>
</region>
<name sortKey="Fontanet, Arnaud" sort="Fontanet, Arnaud" uniqKey="Fontanet A" first="Arnaud" last="Fontanet">Arnaud Fontanet</name>
<name sortKey="Fontanet, Arnaud" sort="Fontanet, Arnaud" uniqKey="Fontanet A" first="Arnaud" last="Fontanet">Arnaud Fontanet</name>
<name sortKey="Riou, Julien" sort="Riou, Julien" uniqKey="Riou J" first="Julien" last="Riou">Julien Riou</name>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/SrasV1/Data/France/Extraction
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000164 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/France/Extraction/biblio.hfd -nk 000164 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Sante |area= SrasV1 |flux= France |étape= Extraction |type= RBID |clé= Pascal:13-0277651 |texte= Interhuman transmissibility of Middle East respiratory syndrome coronavirus: estimation of pandemic risk }}
This area was generated with Dilib version V0.6.33. |