PandemieGrippaleV1, Main, Exploration, bibRecord, 000B50

Infectious Disease Modeling Methods as Tools for Informing Response to Novel Influenza Viruses of Unknown Pandemic Potential

Identifieur interne : 000B50 ( Main/Exploration ); précédent : 000B49; suivant : 000B51

Infectious Disease Modeling Methods as Tools for Informing Response to Novel Influenza Viruses of Unknown Pandemic Potential

Auteurs : Manoj Gambhir [Australie] ; Catherine Bozio ; Justin J. O'Hagan ; Amra Uzicanin ; Lucinda E. Johnson ; Matthew Biggerstaff ; David L. Swerdlow [Géorgie (pays)]

Source :

Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America [ 1058-4838 ] ; 2015.

RBID : PMC:4481577

Descripteurs français

KwdFr :
- Grippe humaine (), Grippe humaine (épidémiologie), Humains, Maladies transmissibles (épidémiologie), Modèles théoriques, Orthomyxoviridae (pathogénicité), Pandémies, Planification des mesures d'urgence en cas de catastrophe (), Épidémiosurveillance, États-Unis d'Amérique (épidémiologie).
MESH :
- pathogénicité : Orthomyxoviridae.
- épidémiologie : Grippe humaine, Maladies transmissibles, États-Unis d'Amérique.
- Grippe humaine, Humains, Modèles théoriques, Pandémies, Planification des mesures d'urgence en cas de catastrophe, Épidémiosurveillance.
Wicri :
- geographic : États-Unis.

English descriptors

KwdEn :
- Communicable Diseases (epidemiology), Disaster Planning (methods), Epidemiological Monitoring, Humans, Influenza, Human (epidemiology), Influenza, Human (prevention & control), Models, Theoretical, Orthomyxoviridae (pathogenicity), Pandemics, United States (epidemiology).
MESH :
- geographic , epidemiology : United States.
- epidemiology : Communicable Diseases, Influenza, Human.
- methods : Disaster Planning.
- pathogenicity : Orthomyxoviridae.
- prevention & control : Influenza, Human.
- Epidemiological Monitoring, Humans, Models, Theoretical, Pandemics.

Abstract

The rising importance of infectious disease modeling makes this an appropriate time for a guide for public health practitioners tasked with preparing for, and responding to, an influenza pandemic. We list several questions that public health practitioners commonly ask about pandemic influenza and match these with analytical methods, giving details on when during a pandemic the methods can be used, how long it might take to implement them, and what data are required. Although software to perform these tasks is available, care needs to be taken to understand: (1) the type of data needed, (2) the implementation of the methods, and (3) the interpretation of results in terms of model uncertainty and sensitivity. Public health leaders can use this article to evaluate the modeling literature, determine which methods can provide appropriate evidence for decision-making, and to help them request modeling work from in-house teams or academic groups.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481577

DOI: 10.1093/cid/civ083
PubMed: 25878297
PubMed Central: 4481577

Affiliations:

Australie, Géorgie (pays)

Le document en format XML

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<affiliation wicri:level="1"><nlm:aff id="af1"><addr-line>Epidemiological Modelling Unit, Department of Epidemiology and Preventive Medicine</addr-line>
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<front><div type="abstract" xml:lang="en"><p>The rising importance of infectious disease modeling makes this an appropriate time for a guide for public health practitioners tasked with preparing for, and responding to, an influenza pandemic. We list several questions that public health practitioners commonly ask about pandemic influenza and match these with analytical methods, giving details on <italic>when</italic>
 during a pandemic the methods can be used, <italic>how long</italic>
 it might take to implement them, and <italic>what data</italic>
 are required. Although software to perform these tasks is available, care needs to be taken to understand: (1) the type of data needed, (2) the implementation of the methods, and (3) the interpretation of results in terms of model uncertainty and sensitivity. Public health leaders can use this article to evaluate the modeling literature, determine which methods can provide appropriate evidence for decision-making, and to help them request modeling work from in-house teams or academic groups.</p>
</div>
</front>
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<name sortKey="Johnson, Lucinda E" sort="Johnson, Lucinda E" uniqKey="Johnson L" first="Lucinda E." last="Johnson">Lucinda E. Johnson</name>
<name sortKey="O Hagan, Justin J" sort="O Hagan, Justin J" uniqKey="O Hagan J" first="Justin J." last="O'Hagan">Justin J. O'Hagan</name>
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Serveur d'exploration sur les pandémies grippales

Infectious Disease Modeling Methods as Tools for Informing Response to Novel Influenza Viruses of Unknown Pandemic Potential

Infectious Disease Modeling Methods as Tools for Informing Response to Novel Influenza Viruses of Unknown Pandemic Potential

Source :

Descripteurs français

English descriptors

Abstract

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

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki

	Serveur d'exploration sur les pandémies grippales
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