A mathematical model for the European spread of influenza.
Identifieur interne : 000598 ( Main/Exploration ); précédent : 000597; suivant : 000599A mathematical model for the European spread of influenza.
Auteurs : A. Flahault [France] ; S. Deguen ; A J ValleronSource :
- European journal of epidemiology [ 0393-2990 ] ; 1994.
Descripteurs français
- KwdFr :
- Aviation (MeSH), Belgique (épidémiologie), Berlin (épidémiologie), Danemark (épidémiologie), Espagne (épidémiologie), Europe (épidémiologie), France (épidémiologie), Grippe humaine (transmission), Grippe humaine (épidémiologie), Hongrie (épidémiologie), Humains (MeSH), Italie (épidémiologie), Londres (épidémiologie), Modèles statistiques (MeSH), Paris (épidémiologie), Prédisposition aux maladies (MeSH), Prévision (MeSH), Suède (épidémiologie), Voyage (MeSH), Épidémies de maladies (statistiques et données numériques).
- MESH :
- statistiques et données numériques : Épidémies de maladies.
- épidémiologie : Belgique, Berlin, Danemark, Espagne, Europe, France, Grippe humaine, Hongrie, Italie, Londres, Paris, Suède.
- Aviation, Humains, Modèles statistiques, Prédisposition aux maladies, Prévision, Voyage.
- Wicri :
English descriptors
- KwdEn :
- Aviation (MeSH), Belgium (epidemiology), Berlin (epidemiology), Denmark (epidemiology), Disease Outbreaks (statistics & numerical data), Disease Susceptibility (MeSH), Europe (epidemiology), Forecasting (MeSH), France (epidemiology), Humans (MeSH), Hungary (epidemiology), Influenza, Human (epidemiology), Influenza, Human (transmission), Italy (epidemiology), London (epidemiology), Models, Statistical (MeSH), Paris (epidemiology), Spain (epidemiology), Sweden (epidemiology), Travel (MeSH).
- MESH :
- geographic , epidemiology : Belgium, Berlin, Denmark, Europe, France, Hungary, Italy, London, Paris, Spain, Sweden.
- epidemiology : Influenza, Human.
- statistics & numerical data : Disease Outbreaks.
- transmission : Influenza, Human.
- Aviation, Disease Susceptibility, Forecasting, Humans, Models, Statistical, Travel.
Abstract
Following a study modelling the geographical spread of influenza in France, on the basis of population movements through the use of railroad data, we applied the same methodology on a European scale. We simulated an epidemic within a network of 9 European cities (Amsterdam, Berlin, Budapest, Copenhagen, London, Madrid, Milano, Paris, Stockholm), only taking into account regular between-cities air transport. Transportation data were obtained from the International Civil Aviation Organization (1991). The theoretical results show that the time lag for action is probably short (less than one month) after the first detection of an epidemic focus.
DOI: 10.1007/BF01719679
PubMed: 7843359
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<author><name sortKey="Flahault, A" sort="Flahault, A" uniqKey="Flahault A" first="A" last="Flahault">A. Flahault</name>
<affiliation wicri:level="3"><nlm:affiliation>Faculté de Médecine Saint-Antoine, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Faculté de Médecine Saint-Antoine, Paris</wicri:regionArea>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
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<author><name sortKey="Deguen, S" sort="Deguen, S" uniqKey="Deguen S" first="S" last="Deguen">S. Deguen</name>
</author>
<author><name sortKey="Valleron, A J" sort="Valleron, A J" uniqKey="Valleron A" first="A J" last="Valleron">A J Valleron</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aviation (MeSH)</term>
<term>Belgium (epidemiology)</term>
<term>Berlin (epidemiology)</term>
<term>Denmark (epidemiology)</term>
<term>Disease Outbreaks (statistics & numerical data)</term>
<term>Disease Susceptibility (MeSH)</term>
<term>Europe (epidemiology)</term>
<term>Forecasting (MeSH)</term>
<term>France (epidemiology)</term>
<term>Humans (MeSH)</term>
<term>Hungary (epidemiology)</term>
<term>Influenza, Human (epidemiology)</term>
<term>Influenza, Human (transmission)</term>
<term>Italy (epidemiology)</term>
<term>London (epidemiology)</term>
<term>Models, Statistical (MeSH)</term>
<term>Paris (epidemiology)</term>
<term>Spain (epidemiology)</term>
<term>Sweden (epidemiology)</term>
<term>Travel (MeSH)</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Aviation (MeSH)</term>
<term>Belgique (épidémiologie)</term>
<term>Berlin (épidémiologie)</term>
<term>Danemark (épidémiologie)</term>
<term>Espagne (épidémiologie)</term>
<term>Europe (épidémiologie)</term>
<term>France (épidémiologie)</term>
<term>Grippe humaine (transmission)</term>
<term>Grippe humaine (épidémiologie)</term>
<term>Hongrie (épidémiologie)</term>
<term>Humains (MeSH)</term>
<term>Italie (épidémiologie)</term>
<term>Londres (épidémiologie)</term>
<term>Modèles statistiques (MeSH)</term>
<term>Paris (épidémiologie)</term>
<term>Prédisposition aux maladies (MeSH)</term>
<term>Prévision (MeSH)</term>
<term>Suède (épidémiologie)</term>
<term>Voyage (MeSH)</term>
<term>Épidémies de maladies (statistiques et données numériques)</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Belgium</term>
<term>Berlin</term>
<term>Denmark</term>
<term>Europe</term>
<term>France</term>
<term>Hungary</term>
<term>Italy</term>
<term>London</term>
<term>Paris</term>
<term>Spain</term>
<term>Sweden</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term>
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<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Belgique</term>
<term>Berlin</term>
<term>Danemark</term>
<term>Espagne</term>
<term>Europe</term>
<term>France</term>
<term>Grippe humaine</term>
<term>Hongrie</term>
<term>Italie</term>
<term>Londres</term>
<term>Paris</term>
<term>Suède</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Aviation</term>
<term>Disease Susceptibility</term>
<term>Forecasting</term>
<term>Humans</term>
<term>Models, Statistical</term>
<term>Travel</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Aviation</term>
<term>Humains</term>
<term>Modèles statistiques</term>
<term>Prédisposition aux maladies</term>
<term>Prévision</term>
<term>Voyage</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Belgique</term>
<term>Danemark</term>
<term>France</term>
<term>Hongrie</term>
<term>Italie</term>
<term>Espagne</term>
<term>Suède</term>
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<front><div type="abstract" xml:lang="en">Following a study modelling the geographical spread of influenza in France, on the basis of population movements through the use of railroad data, we applied the same methodology on a European scale. We simulated an epidemic within a network of 9 European cities (Amsterdam, Berlin, Budapest, Copenhagen, London, Madrid, Milano, Paris, Stockholm), only taking into account regular between-cities air transport. Transportation data were obtained from the International Civil Aviation Organization (1991). The theoretical results show that the time lag for action is probably short (less than one month) after the first detection of an epidemic focus.</div>
</front>
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<Title>European journal of epidemiology</Title>
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<ArticleTitle>A mathematical model for the European spread of influenza.</ArticleTitle>
<Pagination><MedlinePgn>471-4</MedlinePgn>
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<Abstract><AbstractText>Following a study modelling the geographical spread of influenza in France, on the basis of population movements through the use of railroad data, we applied the same methodology on a European scale. We simulated an epidemic within a network of 9 European cities (Amsterdam, Berlin, Budapest, Copenhagen, London, Madrid, Milano, Paris, Stockholm), only taking into account regular between-cities air transport. Transportation data were obtained from the International Civil Aviation Organization (1991). The theoretical results show that the time lag for action is probably short (less than one month) after the first detection of an epidemic focus.</AbstractText>
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