PandemieGrippaleV1, PubMed, Checkpoint, bibRecord, 000A79

Age-specific contacts and travel patterns in the spatial spread of 2009 H1N1 influenza pandemic.

Identifieur interne : 000A79 ( PubMed/Checkpoint ); précédent : 000A78; suivant : 000A80

Age-specific contacts and travel patterns in the spatial spread of 2009 H1N1 influenza pandemic.

Auteurs : Andrea Apolloni [Royaume-Uni] ; Chiara Poletto ; Vittoria Colizza

Source :

BMC infectious diseases [ 1471-2334 ] ; 2013.

RBID : pubmed:23587010

Descripteurs français

KwdFr :
- Adolescent, Adulte, Analyse spatio-temporelle, Enfant, Enfant d'âge préscolaire, Europe (épidémiologie), Facteurs de l'âge, Femelle, Grippe humaine (transmission), Grippe humaine (virologie), Grippe humaine (épidémiologie), Humains, Jeune adulte, Mexique (épidémiologie), Modèles statistiques, Mâle, Nourrisson, Pandémies, Sous-type H1N1 du virus de la grippe A (isolement et purification), Voyage.
MESH :
- isolement et purification : Sous-type H1N1 du virus de la grippe A.
- virologie : Grippe humaine.
- épidémiologie : Europe, Grippe humaine, Mexique.
- Adolescent, Adulte, Analyse spatio-temporelle, Enfant, Enfant d'âge préscolaire, Facteurs de l'âge, Femelle, Humains, Jeune adulte, Modèles statistiques, Mâle, Nourrisson, Pandémies, Voyage.
Wicri :
- geographic : Mexique.

English descriptors

KwdEn :
- Adolescent, Adult, Age Factors, Child, Child, Preschool, Europe (epidemiology), Female, Humans, Infant, Influenza A Virus, H1N1 Subtype (isolation & purification), Influenza, Human (epidemiology), Influenza, Human (transmission), Influenza, Human (virology), Male, Mexico (epidemiology), Models, Statistical, Pandemics, Spatio-Temporal Analysis, Travel, Young Adult.
MESH :
- geographic , epidemiology : Europe, Mexico.
- epidemiology : Influenza, Human.
- isolation & purification : Influenza A Virus, H1N1 Subtype.
- transmission : Influenza, Human.
- virology : Influenza, Human.
- Adolescent, Adult, Age Factors, Child, Child, Preschool, Female, Humans, Infant, Male, Models, Statistical, Pandemics, Spatio-Temporal Analysis, Travel, Young Adult.

Abstract

Confirmed H1N1 cases during late spring and summer 2009 in various countries showed a substantial age shift between importations and local transmission cases, with adults mainly responsible for seeding unaffected regions and children most frequently driving community outbreaks.

DOI: 10.1186/1471-2334-13-176
PubMed: 23587010

Affiliations:

Links toward previous steps (curation, corpus...)

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pubmed:23587010

Le document en format XML

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<term>Europe (épidémiologie)</term>
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<term>Modèles statistiques</term>
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<term>Infant</term>
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<term>Travel</term>
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<term>Analyse spatio-temporelle</term>
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<term>Enfant d'âge préscolaire</term>
<term>Facteurs de l'âge</term>
<term>Femelle</term>
<term>Humains</term>
<term>Jeune adulte</term>
<term>Modèles statistiques</term>
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<front><div type="abstract" xml:lang="en">Confirmed H1N1 cases during late spring and summer 2009 in various countries showed a substantial age shift between importations and local transmission cases, with adults mainly responsible for seeding unaffected regions and children most frequently driving community outbreaks.</div>
</front>
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<DateCompleted><Year>2013</Year>
<Month>09</Month>
<Day>11</Day>
</DateCompleted>
<DateRevised><Year>2018</Year>
<Month>11</Month>
<Day>13</Day>
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<Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2334</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>13</Volume>
<PubDate><Year>2013</Year>
<Month>Apr</Month>
<Day>15</Day>
</PubDate>
</JournalIssue>
<Title>BMC infectious diseases</Title>
<ISOAbbreviation>BMC Infect. Dis.</ISOAbbreviation>
</Journal>
<ArticleTitle>Age-specific contacts and travel patterns in the spatial spread of 2009 H1N1 influenza pandemic.</ArticleTitle>
<Pagination><MedlinePgn>176</MedlinePgn>
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<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Confirmed H1N1 cases during late spring and summer 2009 in various countries showed a substantial age shift between importations and local transmission cases, with adults mainly responsible for seeding unaffected regions and children most frequently driving community outbreaks.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">We introduce a multi-host stochastic metapopulation model with two age classes to analytically investigate the role of a heterogeneously mixing population and its associated non-homogeneous travel behaviors on the risk of a major epidemic. We inform the model with demographic data, contact data and travel statistics of Europe and Mexico, and calibrate it to the 2009 H1N1 pandemic early outbreak. We allow for variations of the model parameters to explore the conditions of invasion under different scenarios.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">We derive the expression for the potential of global invasion of the epidemic that depends on the transmissibility of the pathogen, the transportation network and mobility features, the demographic profile and the mixing pattern. Higher assortativity in the contact pattern greatly increases the probability of spatial containment of the epidemic, this effect being contrasted by an increase in the social activity of adults vs. children. Heterogeneous features of the mobility network characterizing its topology and traffic flows strongly favor the invasion of the pathogen at the spatial level, as also a larger fraction of children traveling. Variations in the demographic profile and mixing habits across countries lead to heterogeneous outbreak situations. Model results are compatible with the H1N1 spatial transmission dynamics observed.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">This work illustrates the importance of considering age-dependent mixing profiles and mobility features coupled together to study the conditions for the spatial invasion of an emerging influenza pandemic. Its results allow the immediate assessment of the risk of a major epidemic for a specific scenario upon availability of data, and the evaluation of the potential effectiveness of public health interventions targeting specific age groups, their interactions and mobility behaviors. The approach provides a general modeling framework that can be used for other types of partitions of the host population and applied to different settings.</AbstractText>
</Abstract>
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<ForeName>Andrea</ForeName>
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<AffiliationInfo><Affiliation>Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Poletto</LastName>
<ForeName>Chiara</ForeName>
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</Author>
<Author ValidYN="Y"><LastName>Colizza</LastName>
<ForeName>Vittoria</ForeName>
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Age-specific contacts and travel patterns in the spatial spread of 2009 H1N1 influenza pandemic.

Age-specific contacts and travel patterns in the spatial spread of 2009 H1N1 influenza pandemic.

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