SrasV1, PubMed, Corpus, bibRecord, 001485

On the treatment of airline travelers in mathematical models.

Identifieur interne : 001485 ( PubMed/Corpus ); précédent : 001484; suivant : 001486

On the treatment of airline travelers in mathematical models.

Auteurs : Michael A. Johansson ; Neysarí Arana-Vizcarrondo ; Brad J. Biggerstaff ; J Erin Staples ; Nancy Gallagher ; Nina Marano

Source :

PloS one [ 1932-6203 ] ; 2011.

RBID : pubmed:21799782

English descriptors

KwdEn :
- Aircraft, Animals, Communicable Diseases (epidemiology), Communicable Diseases (transmission), Dengue Virus (pathogenicity), Disease Vectors, Epidemics, Geography, Humans, Models, Theoretical, SARS Virus (pathogenicity), Time Factors, Travel.
MESH :
- epidemiology : Communicable Diseases.
- pathogenicity : Dengue Virus, SARS Virus.
- transmission : Communicable Diseases.
- Aircraft, Animals, Disease Vectors, Epidemics, Geography, Humans, Models, Theoretical, Time Factors, Travel.

Abstract

The global spread of infectious diseases is facilitated by the ability of infected humans to travel thousands of miles in short time spans, rapidly transporting pathogens to distant locations. Mathematical models of the actual and potential spread of specific pathogens can assist public health planning in the case of such an event. Models should generally be parsimonious, but must consider all potentially important components of the system to the greatest extent possible. We demonstrate and discuss important assumptions relative to the parameterization and structural treatment of airline travel in mathematical models. Among other findings, we show that the most common structural treatment of travelers leads to underestimation of the speed of spread and that connecting travel is critical to a realistic spread pattern. Models involving travelers can be improved significantly by relatively simple structural changes but also may require further attention to details of parameterization.

DOI: 10.1371/journal.pone.0022151
PubMed: 21799782

Links to Exploration step

pubmed:21799782

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">On the treatment of airline travelers in mathematical models.</title>
<author><name sortKey="Johansson, Michael A" sort="Johansson, Michael A" uniqKey="Johansson M" first="Michael A" last="Johansson">Michael A. Johansson</name>
<affiliation><nlm:affiliation>Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico. mjohansson@cdc.gov</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Arana Vizcarrondo, Neysari" sort="Arana Vizcarrondo, Neysari" uniqKey="Arana Vizcarrondo N" first="Neysarí" last="Arana-Vizcarrondo">Neysarí Arana-Vizcarrondo</name>
</author>
<author><name sortKey="Biggerstaff, Brad J" sort="Biggerstaff, Brad J" uniqKey="Biggerstaff B" first="Brad J" last="Biggerstaff">Brad J. Biggerstaff</name>
</author>
<author><name sortKey="Staples, J Erin" sort="Staples, J Erin" uniqKey="Staples J" first="J Erin" last="Staples">J Erin Staples</name>
</author>
<author><name sortKey="Gallagher, Nancy" sort="Gallagher, Nancy" uniqKey="Gallagher N" first="Nancy" last="Gallagher">Nancy Gallagher</name>
</author>
<author><name sortKey="Marano, Nina" sort="Marano, Nina" uniqKey="Marano N" first="Nina" last="Marano">Nina Marano</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2011">2011</date>
<idno type="RBID">pubmed:21799782</idno>
<idno type="pmid">21799782</idno>
<idno type="doi">10.1371/journal.pone.0022151</idno>
<idno type="wicri:Area/PubMed/Corpus">001485</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">001485</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">On the treatment of airline travelers in mathematical models.</title>
<author><name sortKey="Johansson, Michael A" sort="Johansson, Michael A" uniqKey="Johansson M" first="Michael A" last="Johansson">Michael A. Johansson</name>
<affiliation><nlm:affiliation>Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico. mjohansson@cdc.gov</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Arana Vizcarrondo, Neysari" sort="Arana Vizcarrondo, Neysari" uniqKey="Arana Vizcarrondo N" first="Neysarí" last="Arana-Vizcarrondo">Neysarí Arana-Vizcarrondo</name>
</author>
<author><name sortKey="Biggerstaff, Brad J" sort="Biggerstaff, Brad J" uniqKey="Biggerstaff B" first="Brad J" last="Biggerstaff">Brad J. Biggerstaff</name>
</author>
<author><name sortKey="Staples, J Erin" sort="Staples, J Erin" uniqKey="Staples J" first="J Erin" last="Staples">J Erin Staples</name>
</author>
<author><name sortKey="Gallagher, Nancy" sort="Gallagher, Nancy" uniqKey="Gallagher N" first="Nancy" last="Gallagher">Nancy Gallagher</name>
</author>
<author><name sortKey="Marano, Nina" sort="Marano, Nina" uniqKey="Marano N" first="Nina" last="Marano">Nina Marano</name>
</author>
</analytic>
<series><title level="j">PloS one</title>
<idno type="eISSN">1932-6203</idno>
<imprint><date when="2011" type="published">2011</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aircraft</term>
<term>Animals</term>
<term>Communicable Diseases (epidemiology)</term>
<term>Communicable Diseases (transmission)</term>
<term>Dengue Virus (pathogenicity)</term>
<term>Disease Vectors</term>
<term>Epidemics</term>
<term>Geography</term>
<term>Humans</term>
<term>Models, Theoretical</term>
<term>SARS Virus (pathogenicity)</term>
<term>Time Factors</term>
<term>Travel</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Communicable Diseases</term>
</keywords>
<keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en"><term>Dengue Virus</term>
<term>SARS Virus</term>
</keywords>
<keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Communicable Diseases</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Aircraft</term>
<term>Animals</term>
<term>Disease Vectors</term>
<term>Epidemics</term>
<term>Geography</term>
<term>Humans</term>
<term>Models, Theoretical</term>
<term>Time Factors</term>
<term>Travel</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">The global spread of infectious diseases is facilitated by the ability of infected humans to travel thousands of miles in short time spans, rapidly transporting pathogens to distant locations. Mathematical models of the actual and potential spread of specific pathogens can assist public health planning in the case of such an event. Models should generally be parsimonious, but must consider all potentially important components of the system to the greatest extent possible. We demonstrate and discuss important assumptions relative to the parameterization and structural treatment of airline travel in mathematical models. Among other findings, we show that the most common structural treatment of travelers leads to underestimation of the speed of spread and that connecting travel is critical to a realistic spread pattern. Models involving travelers can be improved significantly by relatively simple structural changes but also may require further attention to details of parameterization.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">21799782</PMID>
<DateCompleted><Year>2011</Year>
<Month>12</Month>
<Day>06</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>03</Month>
<Day>05</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>6</Volume>
<Issue>7</Issue>
<PubDate><Year>2011</Year>
</PubDate>
</JournalIssue>
<Title>PloS one</Title>
<ISOAbbreviation>PLoS ONE</ISOAbbreviation>
</Journal>
<ArticleTitle>On the treatment of airline travelers in mathematical models.</ArticleTitle>
<Pagination><MedlinePgn>e22151</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0022151</ELocationID>
<Abstract><AbstractText>The global spread of infectious diseases is facilitated by the ability of infected humans to travel thousands of miles in short time spans, rapidly transporting pathogens to distant locations. Mathematical models of the actual and potential spread of specific pathogens can assist public health planning in the case of such an event. Models should generally be parsimonious, but must consider all potentially important components of the system to the greatest extent possible. We demonstrate and discuss important assumptions relative to the parameterization and structural treatment of airline travel in mathematical models. Among other findings, we show that the most common structural treatment of travelers leads to underestimation of the speed of spread and that connecting travel is critical to a realistic spread pattern. Models involving travelers can be improved significantly by relatively simple structural changes but also may require further attention to details of parameterization.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Johansson</LastName>
<ForeName>Michael A</ForeName>
<Initials>MA</Initials>
<AffiliationInfo><Affiliation>Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico. mjohansson@cdc.gov</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Arana-Vizcarrondo</LastName>
<ForeName>Neysarí</ForeName>
<Initials>N</Initials>
</Author>
<Author ValidYN="Y"><LastName>Biggerstaff</LastName>
<ForeName>Brad J</ForeName>
<Initials>BJ</Initials>
</Author>
<Author ValidYN="Y"><LastName>Staples</LastName>
<ForeName>J Erin</ForeName>
<Initials>JE</Initials>
</Author>
<Author ValidYN="Y"><LastName>Gallagher</LastName>
<ForeName>Nancy</ForeName>
<Initials>N</Initials>
</Author>
<Author ValidYN="Y"><LastName>Marano</LastName>
<ForeName>Nina</ForeName>
<Initials>N</Initials>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2011</Year>
<Month>07</Month>
<Day>25</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>PLoS One</MedlineTA>
<NlmUniqueID>101285081</NlmUniqueID>
<ISSNLinking>1932-6203</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000401" MajorTopicYN="Y">Aircraft</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003141" MajorTopicYN="N">Communicable Diseases</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000635" MajorTopicYN="Y">transmission</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003716" MajorTopicYN="N">Dengue Virus</DescriptorName>
<QualifierName UI="Q000472" MajorTopicYN="N">pathogenicity</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D004199" MajorTopicYN="N">Disease Vectors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D058872" MajorTopicYN="N">Epidemics</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005843" MajorTopicYN="N">Geography</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008962" MajorTopicYN="Y">Models, Theoretical</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D045473" MajorTopicYN="N">SARS Virus</DescriptorName>
<QualifierName UI="Q000472" MajorTopicYN="N">pathogenicity</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014195" MajorTopicYN="Y">Travel</DescriptorName>
</MeshHeading>
</MeshHeadingList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2010</Year>
<Month>11</Month>
<Day>12</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2011</Year>
<Month>06</Month>
<Day>19</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2011</Year>
<Month>7</Month>
<Day>30</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2011</Year>
<Month>7</Month>
<Day>30</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2011</Year>
<Month>12</Month>
<Day>13</Day>
<Hour>0</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">21799782</ArticleId>
<ArticleId IdType="doi">10.1371/journal.pone.0022151</ArticleId>
<ArticleId IdType="pii">PONE-D-10-04692</ArticleId>
<ArticleId IdType="pmc">PMC3143116</ArticleId>
</ArticleIdList>
<ReferenceList><Reference><Citation>MMWR Surveill Summ. 2006 May 26;55(4):23-37</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16723971</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Science. 2003 Jun 20;300(5627):1961-6</Citation>
<ArticleIdList><ArticleId IdType="pubmed">12766206</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Vaccine. 2006 Nov 10;24(44-46):6751-5</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16843574</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>JAMA. 2000 May 24-31;283(20):2668-73</Citation>
<ArticleIdList><ArticleId IdType="pubmed">10819949</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Science. 2009 Jun 19;324(5934):1557-61</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19433588</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>PLoS One. 2007 May 02;2(5):e401</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17476323</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>BMC Med. 2007 Nov 21;5:34</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18031574</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Emerg Infect Dis. 2007 Feb;13(2):217-22</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17479882</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Proc Natl Acad Sci U S A. 2004 Oct 19;101(42):15124-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15477600</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Lancet. 2003 May 24;361(9371):1761-6</Citation>
<ArticleIdList><ArticleId IdType="pubmed">12781533</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Health Care Manag Sci. 2004 May;7(2):127-34</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15152977</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>PLoS Biol. 2010 Feb 23;8(2):e1000316</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20186267</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Eur J Epidemiol. 2003;18(11):1065-72</Citation>
<ArticleIdList><ArticleId IdType="pubmed">14620941</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Am J Epidemiol. 2007 Jun 15;165(12):1434-42</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17369609</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Clin Infect Dis. 2004 Jul 15;39(2):186-91</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15307027</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Emerg Infect Dis. 2010 Jan;16(1):162-3</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20031074</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>J Infect Dis. 2007 Apr 1;195(7):1007-13</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17330791</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>PLoS Med. 2006 Jun;3(6):e212</Citation>
<ArticleIdList><ArticleId IdType="pubmed">16640458</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Clin Infect Dis. 2006 Nov 1;43(9):1185-93</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17029140</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Med Clin North Am. 2008 Nov;92(6):1377-90, x</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19061757</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>J Med Entomol. 1993 Nov;30(6):1003-17</Citation>
<ArticleIdList><ArticleId IdType="pubmed">8271242</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>J Med Entomol. 2000 Jan;37(1):89-101</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15218911</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>J Mol Evol. 2002 Dec;55(6):653-63</Citation>
<ArticleIdList><ArticleId IdType="pubmed">12486524</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>PLoS Med. 2008 Mar 25;5(3):e74</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18366252</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>PLoS One. 2009;4(2):e4403</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19197382</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>PLoS Med. 2007 Jan;4(1):e13</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17253899</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
<ReferenceList><Reference><Citation>Emerg Infect Dis. 2007 Sep;13(9):1288-94</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18252097</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/SrasV1/Data/PubMed/Corpus

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001485 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd -nk 001485 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    SrasV1
   |flux=    PubMed
   |étape=   Corpus
   |type=    RBID
   |clé=     pubmed:21799782
   |texte=   On the treatment of airline travelers in mathematical models.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i   -Sk "pubmed:21799782" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd   \
       | NlmPubMed2Wicri -a SrasV1

This area was generated with Dilib version V0.6.33.
Data generation: Tue Apr 28 14:49:16 2020. Site generation: Sat Mar 27 22:06:49 2021

	Serveur d'exploration SRAS
	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 SRAS

On the treatment of airline travelers in mathematical models.

On the treatment of airline travelers in mathematical models.

Source :

English descriptors

Abstract

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