PandemieGrippaleV1, PubMed, Checkpoint, bibRecord, 000699

A Bayesian inferential approach to quantify the transmission intensity of disease outbreak.

Identifieur interne : 000699 ( PubMed/Checkpoint ); précédent : 000698; suivant : 000700

A Bayesian inferential approach to quantify the transmission intensity of disease outbreak.

Auteurs : Adiveppa S. Kadi [Inde] ; Shivakumari R. Avaradi [Inde]

Source :

Computational and mathematical methods in medicine [ 1748-6718 ] ; 2015.

RBID : pubmed:25784956

Descripteurs français

KwdFr :
- Algorithmes, Flambées de maladies, Grippe humaine (transmission), Grippe humaine (épidémiologie), Humains, Inde, Logiciel, Modèles statistiques, Nombre de reproduction de base, Probabilité, Sous-type H1N1 du virus de la grippe A, Théorème de Bayes.
MESH :
- épidémiologie : Grippe humaine.
- Algorithmes, Flambées de maladies, Humains, Inde, Logiciel, Modèles statistiques, Nombre de reproduction de base, Probabilité, Sous-type H1N1 du virus de la grippe A, Théorème de Bayes.
Wicri :
- geographic : Inde.

English descriptors

KwdEn :
- Algorithms, Basic Reproduction Number, Bayes Theorem, Disease Outbreaks, Humans, India, Influenza A Virus, H1N1 Subtype, Influenza, Human (epidemiology), Influenza, Human (transmission), Models, Statistical, Probability, Software.
MESH :
- geographic : India.
- epidemiology : Influenza, Human.
- transmission : Influenza, Human.
- Algorithms, Basic Reproduction Number, Bayes Theorem, Disease Outbreaks, Humans, Influenza A Virus, H1N1 Subtype, Models, Statistical, Probability, Software.

Abstract

Emergence of infectious diseases like influenza pandemic (H1N1) 2009 has become great concern, which posed new challenges to the health authorities worldwide. To control these diseases various studies have been developed in the field of mathematical modelling, which is useful tool for understanding the epidemiological dynamics and their dependence on social mixing patterns.

DOI: 10.1155/2015/256319
PubMed: 25784956

Affiliations:

Inde

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

to stream PubMed, to step Corpus: 000694
to stream PubMed, to step Curation: 000694

Links to Exploration step

pubmed:25784956

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">A Bayesian inferential approach to quantify the transmission intensity of disease outbreak.</title>
<author><name sortKey="Kadi, Adiveppa S" sort="Kadi, Adiveppa S" uniqKey="Kadi A" first="Adiveppa S" last="Kadi">Adiveppa S. Kadi</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Studies in Statistics, Karnatak University, Dharwad 580003, India.</nlm:affiliation>
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Department of Studies in Statistics, Karnatak University, Dharwad 580003</wicri:regionArea>
<wicri:noRegion>Dharwad 580003</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Avaradi, Shivakumari R" sort="Avaradi, Shivakumari R" uniqKey="Avaradi S" first="Shivakumari R" last="Avaradi">Shivakumari R. Avaradi</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Studies in Statistics, Karnatak University, Dharwad 580003, India.</nlm:affiliation>
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Department of Studies in Statistics, Karnatak University, Dharwad 580003</wicri:regionArea>
<wicri:noRegion>Dharwad 580003</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2015">2015</date>
<idno type="RBID">pubmed:25784956</idno>
<idno type="pmid">25784956</idno>
<idno type="doi">10.1155/2015/256319</idno>
<idno type="wicri:Area/PubMed/Corpus">000694</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000694</idno>
<idno type="wicri:Area/PubMed/Curation">000694</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000694</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000699</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000699</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">A Bayesian inferential approach to quantify the transmission intensity of disease outbreak.</title>
<author><name sortKey="Kadi, Adiveppa S" sort="Kadi, Adiveppa S" uniqKey="Kadi A" first="Adiveppa S" last="Kadi">Adiveppa S. Kadi</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Studies in Statistics, Karnatak University, Dharwad 580003, India.</nlm:affiliation>
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Department of Studies in Statistics, Karnatak University, Dharwad 580003</wicri:regionArea>
<wicri:noRegion>Dharwad 580003</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Avaradi, Shivakumari R" sort="Avaradi, Shivakumari R" uniqKey="Avaradi S" first="Shivakumari R" last="Avaradi">Shivakumari R. Avaradi</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Studies in Statistics, Karnatak University, Dharwad 580003, India.</nlm:affiliation>
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Department of Studies in Statistics, Karnatak University, Dharwad 580003</wicri:regionArea>
<wicri:noRegion>Dharwad 580003</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series><title level="j">Computational and mathematical methods in medicine</title>
<idno type="eISSN">1748-6718</idno>
<imprint><date when="2015" type="published">2015</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term>
<term>Basic Reproduction Number</term>
<term>Bayes Theorem</term>
<term>Disease Outbreaks</term>
<term>Humans</term>
<term>India</term>
<term>Influenza A Virus, H1N1 Subtype</term>
<term>Influenza, Human (epidemiology)</term>
<term>Influenza, Human (transmission)</term>
<term>Models, Statistical</term>
<term>Probability</term>
<term>Software</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Algorithmes</term>
<term>Flambées de maladies</term>
<term>Grippe humaine (transmission)</term>
<term>Grippe humaine (épidémiologie)</term>
<term>Humains</term>
<term>Inde</term>
<term>Logiciel</term>
<term>Modèles statistiques</term>
<term>Nombre de reproduction de base</term>
<term>Probabilité</term>
<term>Sous-type H1N1 du virus de la grippe A</term>
<term>Théorème de Bayes</term>
</keywords>
<keywords scheme="MESH" type="geographic" xml:lang="en"><term>India</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Grippe humaine</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Algorithms</term>
<term>Basic Reproduction Number</term>
<term>Bayes Theorem</term>
<term>Disease Outbreaks</term>
<term>Humans</term>
<term>Influenza A Virus, H1N1 Subtype</term>
<term>Models, Statistical</term>
<term>Probability</term>
<term>Software</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Algorithmes</term>
<term>Flambées de maladies</term>
<term>Humains</term>
<term>Inde</term>
<term>Logiciel</term>
<term>Modèles statistiques</term>
<term>Nombre de reproduction de base</term>
<term>Probabilité</term>
<term>Sous-type H1N1 du virus de la grippe A</term>
<term>Théorème de Bayes</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Inde</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Emergence of infectious diseases like influenza pandemic (H1N1) 2009 has become great concern, which posed new challenges to the health authorities worldwide. To control these diseases various studies have been developed in the field of mathematical modelling, which is useful tool for understanding the epidemiological dynamics and their dependence on social mixing patterns.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25784956</PMID>
<DateCompleted><Year>2015</Year>
<Month>12</Month>
<Day>17</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>03</Month>
<Day>06</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1748-6718</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>2015</Volume>
<PubDate><Year>2015</Year>
</PubDate>
</JournalIssue>
<Title>Computational and mathematical methods in medicine</Title>
<ISOAbbreviation>Comput Math Methods Med</ISOAbbreviation>
</Journal>
<ArticleTitle>A Bayesian inferential approach to quantify the transmission intensity of disease outbreak.</ArticleTitle>
<Pagination><MedlinePgn>256319</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1155/2015/256319</ELocationID>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Emergence of infectious diseases like influenza pandemic (H1N1) 2009 has become great concern, which posed new challenges to the health authorities worldwide. To control these diseases various studies have been developed in the field of mathematical modelling, which is useful tool for understanding the epidemiological dynamics and their dependence on social mixing patterns.</AbstractText>
<AbstractText Label="METHOD" NlmCategory="METHODS">We have used Bayesian approach to quantify the disease outbreak through key epidemiological parameter basic reproduction number (R0), using effective contacts, defined as sum of the product of incidence cases and probability of generation time distribution. We have estimated R0 from daily case incidence data for pandemic influenza A/H1N1 2009 in India, for the initial phase.</AbstractText>
<AbstractText Label="RESULT" NlmCategory="RESULTS">The estimated R0 with 95% credible interval is consistent with several other studies on the same strain. Through sensitivity analysis our study indicates that infectiousness affects the estimate of R0.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Basic reproduction number R0 provides the useful information to the public health system to do some effort in controlling the disease by using mitigation strategies like vaccination, quarantine, and so forth.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Kadi</LastName>
<ForeName>Adiveppa S</ForeName>
<Initials>AS</Initials>
<AffiliationInfo><Affiliation>Department of Studies in Statistics, Karnatak University, Dharwad 580003, India.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Avaradi</LastName>
<ForeName>Shivakumari R</ForeName>
<Initials>SR</Initials>
<AffiliationInfo><Affiliation>Department of Studies in Statistics, Karnatak University, Dharwad 580003, India.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2015</Year>
<Month>02</Month>
<Day>15</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>Comput Math Methods Med</MedlineTA>
<NlmUniqueID>101277751</NlmUniqueID>
<ISSNLinking>1748-670X</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000465" MajorTopicYN="N">Algorithms</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D050936" MajorTopicYN="N">Basic Reproduction Number</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D001499" MajorTopicYN="N">Bayes Theorem</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D004196" MajorTopicYN="Y">Disease Outbreaks</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007194" MajorTopicYN="N" Type="Geographic">India</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D053118" MajorTopicYN="N">Influenza A Virus, H1N1 Subtype</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000635" MajorTopicYN="Y">transmission</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015233" MajorTopicYN="N">Models, Statistical</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011336" MajorTopicYN="N">Probability</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012984" MajorTopicYN="N">Software</DescriptorName>
</MeshHeading>
</MeshHeadingList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2014</Year>
<Month>10</Month>
<Day>30</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2015</Year>
<Month>01</Month>
<Day>16</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2015</Year>
<Month>01</Month>
<Day>20</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2015</Year>
<Month>3</Month>
<Day>19</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2015</Year>
<Month>3</Month>
<Day>19</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2015</Year>
<Month>12</Month>
<Day>19</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">25784956</ArticleId>
<ArticleId IdType="doi">10.1155/2015/256319</ArticleId>
<ArticleId IdType="pmc">PMC4345055</ArticleId>
</ArticleIdList>
<ReferenceList><Reference><Citation>Proc Biol Sci. 2007 Feb 22;274(1609):599-604</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17476782</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Science. 2009 Oct 30;326(5953):729-33</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19745114</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Stat Methods Med Res. 1993;2(1):23-41</Citation>
<ArticleIdList><ArticleId IdType="pubmed">8261248</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Philos Trans R Soc Lond B Biol Sci. 2004 Jul 29;359(1447):1091-105</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15306395</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Am J Epidemiol. 2004 Sep 15;160(6):509-16</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15353409</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Math Biol. 1990;28(4):365-82</Citation>
<ArticleIdList><ArticleId IdType="pubmed">2117040</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>N Engl J Med. 2009 Dec 31;361(27):2619-27</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20042753</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proc Natl Acad Sci U S A. 2011 Nov 8;108(45):18238-43</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22042838</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nature. 2005 Sep 8;437(7056):209-14</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16079797</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Theor Popul Biol. 2006 Sep;70(2):135-45</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16712889</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Theor Biol Med Model. 2007 Jun 04;4:20</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17547753</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Vaccine. 2010 Mar 11;28(12):2370-84</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20096762</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Influenza Other Respir Viruses. 2009 Sep;3(5):215-22</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19702583</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Clin Infect Dis. 2010 Nov 15;51(10):1184-91</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20964521</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Math Biosci. 1996 Feb;132(1):69-96</Citation>
<ArticleIdList><ArticleId IdType="pubmed">8924722</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proc Biol Sci. 2003 Jan 22;270(1511):121-7</Citation>
<ArticleIdList><ArticleId IdType="pubmed">12590749</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Epidemiology. 2009 May;20(3):344-7</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19279492</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS One. 2007 Apr 04;2(4):e349</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17406673</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS Curr. 2009 Nov 16;1:RRN1130</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20029668</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Stat Med. 2008 Jul 20;27(16):2999-3016</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18058829</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Math Biosci. 2007 Jul;208(1):300-11</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17174352</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Int J Environ Res Public Health. 2010 Jan;7(1):291-302</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20195446</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>Inde</li>
</country>
</list>
<tree><country name="Inde"><noRegion><name sortKey="Kadi, Adiveppa S" sort="Kadi, Adiveppa S" uniqKey="Kadi A" first="Adiveppa S" last="Kadi">Adiveppa S. Kadi</name>
</noRegion>
<name sortKey="Avaradi, Shivakumari R" sort="Avaradi, Shivakumari R" uniqKey="Avaradi S" first="Shivakumari R" last="Avaradi">Shivakumari R. Avaradi</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PandemieGrippaleV1/Data/PubMed/Checkpoint

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000699 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/PubMed/Checkpoint/biblio.hfd -nk 000699 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    PandemieGrippaleV1
   |flux=    PubMed
   |étape=   Checkpoint
   |type=    RBID
   |clé=     pubmed:25784956
   |texte=   A Bayesian inferential approach to quantify the transmission intensity of disease outbreak.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Checkpoint/RBID.i   -Sk "pubmed:25784956" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Checkpoint/biblio.hfd   \
       | NlmPubMed2Wicri -a PandemieGrippaleV1

This area was generated with Dilib version V0.6.34.
Data generation: Wed Jun 10 11:04:28 2020. Site generation: Sun Mar 28 09:10:28 2021

	Serveur d'exploration sur les pandémies grippales
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur les pandémies grippales

A Bayesian inferential approach to quantify the transmission intensity of disease outbreak.

A Bayesian inferential approach to quantify the transmission intensity of disease outbreak.

Source :

Descripteurs français

English descriptors

Abstract

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

Links to Exploration step

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