Spatial Aspects of HIV Infection
Identifieur interne : 000D10 ( Istex/Corpus ); précédent : 000D09; suivant : 000D11Spatial Aspects of HIV Infection
Auteurs : Frederik Graw ; Alan S. PerelsonSource :
- Lecture Notes on Mathematical Modelling in the Life Sciences [ 2193-4789 ]
Abstract
Abstract: Human immunodeficiency virus type 1 (HIV-1) is one of the most and intensely studied viral pathogens in the history of science. However, despite the huge scientific effort, many aspects of HIV infection dynamics and disease pathogenesis within a host are still not understood. Mathematical modeling has helped to improve our understanding of the infection as well as the dynamics of the immune response. Fitting models to clinical data has provided estimates for the turnover rate of target cells [82, 83,111], the lifetime of infected cells and viral particles [104, 109], as well as for the rate of viral production by infected cells [21, 44]. Most mathematical models applied to experimental data on viral infections have been formulated as systems of ordinary differential equations (ODE) [91, 101, 104].
Url:
DOI: 10.1007/978-1-4614-4178-6_1
Links to Exploration step
ISTEX:16770A8B94389227DC141411A0F4EDF0252E9146Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Spatial Aspects of HIV Infection</title><author><name sortKey="Graw, Frederik" sort="Graw, Frederik" uniqKey="Graw F" first="Frederik" last="Graw">Frederik Graw</name><affiliation><mods:affiliation>Theoretical Biology and Biophysics, Los Alamos National Laboratory, 87545, Los Alamos, NM, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: fgraw@lanl.gov</mods:affiliation></affiliation></author><author><name sortKey="Perelson, Alan S" sort="Perelson, Alan S" uniqKey="Perelson A" first="Alan S." last="Perelson">Alan S. Perelson</name><affiliation><mods:affiliation>Theoretical Biology and Biophysics, Los Alamos National Laboratory, 87545, Los Alamos, NM, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: asp@lanl.gov</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:16770A8B94389227DC141411A0F4EDF0252E9146</idno><date when="2013" year="2013">2013</date><idno type="doi">10.1007/978-1-4614-4178-6_1</idno><idno type="url">https://api.istex.fr/ark:/67375/HCB-Z133C42L-J/fulltext.pdf</idno><idno type="wicri:Area/Istex/Corpus">000D10</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000D10</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Spatial Aspects of HIV Infection</title><author><name sortKey="Graw, Frederik" sort="Graw, Frederik" uniqKey="Graw F" first="Frederik" last="Graw">Frederik Graw</name><affiliation><mods:affiliation>Theoretical Biology and Biophysics, Los Alamos National Laboratory, 87545, Los Alamos, NM, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: fgraw@lanl.gov</mods:affiliation></affiliation></author><author><name sortKey="Perelson, Alan S" sort="Perelson, Alan S" uniqKey="Perelson A" first="Alan S." last="Perelson">Alan S. Perelson</name><affiliation><mods:affiliation>Theoretical Biology and Biophysics, Los Alamos National Laboratory, 87545, Los Alamos, NM, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: asp@lanl.gov</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s" type="main" xml:lang="en">Lecture Notes on Mathematical Modelling in the Life Sciences</title><title level="s" type="abbrev">Lect.Notes Math.Modelling Life Sci.</title><idno type="ISSN">2193-4789</idno><idno type="eISSN">2193-4797</idno><idno type="ISSN">2193-4789</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">2193-4789</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Human immunodeficiency virus type 1 (HIV-1) is one of the most and intensely studied viral pathogens in the history of science. However, despite the huge scientific effort, many aspects of HIV infection dynamics and disease pathogenesis within a host are still not understood. Mathematical modeling has helped to improve our understanding of the infection as well as the dynamics of the immune response. Fitting models to clinical data has provided estimates for the turnover rate of target cells [82, 83,111], the lifetime of infected cells and viral particles [104, 109], as well as for the rate of viral production by infected cells [21, 44]. Most mathematical models applied to experimental data on viral infections have been formulated as systems of ordinary differential equations (ODE) [91, 101, 104].</div></front></TEI><istex><corpusName>springer-ebooks</corpusName><author><json:item><name>Frederik Graw</name><affiliations><json:string>Theoretical Biology and Biophysics, Los Alamos National Laboratory, 87545, Los Alamos, NM, USA</json:string><json:string>E-mail: fgraw@lanl.gov</json:string></affiliations></json:item><json:item><name>Alan S. Perelson</name><affiliations><json:string>Theoretical Biology and Biophysics, Los Alamos National Laboratory, 87545, Los Alamos, NM, USA</json:string><json:string>E-mail: asp@lanl.gov</json:string></affiliations></json:item></author><arkIstex>ark:/67375/HCB-Z133C42L-J</arkIstex><language><json:string>eng</json:string></language><originalGenre><json:string>OriginalPaper</json:string></originalGenre><abstract>Abstract: Human immunodeficiency virus type 1 (HIV-1) is one of the most and intensely studied viral pathogens in the history of science. However, despite the huge scientific effort, many aspects of HIV infection dynamics and disease pathogenesis within a host are still not understood. Mathematical modeling has helped to improve our understanding of the infection as well as the dynamics of the immune response. Fitting models to clinical data has provided estimates for the turnover rate of target cells [82, 83,111], the lifetime of infected cells and viral particles [104, 109], as well as for the rate of viral production by infected cells [21, 44]. Most mathematical models applied to experimental data on viral infections have been formulated as systems of ordinary differential equations (ODE) [91, 101, 104].</abstract><qualityIndicators><refBibsNative>false</refBibsNative><abstractWordCount>128</abstractWordCount><abstractCharCount>818</abstractCharCount><keywordCount>0</keywordCount><score>8.536</score><pdfWordCount>12635</pdfWordCount><pdfCharCount>74505</pdfCharCount><pdfVersion>1.4</pdfVersion><pdfPageCount>29</pdfPageCount><pdfPageSize>439.36 x 666.15 pts</pdfPageSize></qualityIndicators><title>Spatial Aspects of HIV Infection</title><chapterId><json:string>1</json:string><json:string>b978-1-4614-4178-6_1</json:string></chapterId><genre><json:string>research-article</json:string></genre><serie><title>Lecture Notes on Mathematical Modelling in the Life Sciences</title><language><json:string>unknown</json:string></language><copyrightDate>2013</copyrightDate><issn><json:string>2193-4789</json:string></issn><eissn><json:string>2193-4797</json:string></eissn></serie><host><title>Mathematical Methods and Models in Biomedicine</title><language><json:string>unknown</json:string></language><copyrightDate>2013</copyrightDate><doi><json:string>10.1007/978-1-4614-4178-6</json:string></doi><issn><json:string>2193-4789</json:string></issn><eissn><json:string>2193-4797</json:string></eissn><eisbn><json:string>978-1-4614-4178-6</json:string></eisbn><bookId><json:string>978-1-4614-4178-6</json:string></bookId><isbn><json:string>978-1-4614-4177-9</json:string></isbn><pages><first>3</first><last>31</last></pages><genre><json:string>book-series</json:string></genre><editor><json:item><name>Urszula Ledzewicz</name><affiliations><json:string>, Mathematics and Statistics, Southern Illinois University Edwardsvill, 62026, Edwardsville, Illinois, USA</json:string><json:string>E-mail: uledzew@siue.edu</json:string></affiliations></json:item><json:item><name>Heinz Schättler</name><affiliations><json:string>, Electrical and Systems Engineering, Washington University, Brookings Drive 1, 63130, Saint Louis, Missouri, USA</json:string><json:string>E-mail: hms@wustl.edu</json:string></affiliations></json:item><json:item><name>Avner Friedman</name><affiliations><json:string>Mathematical Biosciences Institute, Ohio State University, W. 18th Avenue 231, 43210-1292, Columbus, Ohio, USA</json:string><json:string>E-mail: afriedman@math.ohio-state.edu</json:string></affiliations></json:item><json:item><name>Eugene Kashdan</name><affiliations><json:string>Tel Aviv University, Ramat Aviv, 69978, Tel Aviv, Israel</json:string><json:string>E-mail: ekashdan@post.tau.ac.il</json:string></affiliations></json:item></editor><subject><json:item><value>Mathematics and Statistics</value></json:item><json:item><value>Mathematics</value></json:item><json:item><value>Mathematical and Computational Biology</value></json:item><json:item><value>Mathematical Modeling and Industrial Mathematics</value></json:item><json:item><value>Life Sciences, general</value></json:item><json:item><value>Biomedical Engineering</value></json:item><json:item><value>Optimization</value></json:item></subject></host><ark><json:string>ark:/67375/HCB-Z133C42L-J</json:string></ark><publicationDate>2013</publicationDate><copyrightDate>2013</copyrightDate><doi><json:string>10.1007/978-1-4614-4178-6_1</json:string></doi><id>16770A8B94389227DC141411A0F4EDF0252E9146</id><score>1</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/ark:/67375/HCB-Z133C42L-J/fulltext.pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/ark:/67375/HCB-Z133C42L-J/bundle.zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/ark:/67375/HCB-Z133C42L-J/fulltext.tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Spatial Aspects of HIV Infection</title></titleStmt><publicationStmt><authority>ISTEX</authority><availability><licence>Springer Science+Business Media New York</licence></availability><date when="2013">2013</date></publicationStmt><notesStmt><note type="content-type" subtype="research-article" source="OriginalPaper" scheme="https://content-type.data.istex.fr/ark:/67375/XTP-1JC4F85T-7">research-article</note><note type="publication-type" subtype="book-series" scheme="https://publication-type.data.istex.fr/ark:/67375/JMC-0G6R5W5T-Z">book-series</note></notesStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Spatial Aspects of HIV Infection</title><author><persName><forename type="first">Frederik</forename><surname>Graw</surname></persName><email>fgraw@lanl.gov</email><affiliation><orgName type="institution">Theoretical Biology and Biophysics, Los Alamos National Laboratory</orgName><address><settlement>Los Alamos</settlement><region>NM</region><postCode>87545</postCode><country key="US">UNITED STATES</country></address></affiliation></author><author role="corresp"><persName><forename type="first">Alan</forename><forename type="first">S.</forename><surname>Perelson</surname></persName><email>asp@lanl.gov</email><affiliation><orgName type="institution">Theoretical Biology and Biophysics, Los Alamos National Laboratory</orgName><address><settlement>Los Alamos</settlement><region>NM</region><postCode>87545</postCode><country key="US">UNITED STATES</country></address></affiliation></author><idno type="istex">16770A8B94389227DC141411A0F4EDF0252E9146</idno><idno type="ark">ark:/67375/HCB-Z133C42L-J</idno><idno type="DOI">10.1007/978-1-4614-4178-6_1</idno></analytic><monogr><title level="m" type="main">Mathematical Methods and Models in Biomedicine</title><title level="m" type="part">Immune System Modeling</title><idno type="DOI">10.1007/978-1-4614-4178-6</idno><idno type="book-id">978-1-4614-4178-6</idno><idno type="ISBN">978-1-4614-4177-9</idno><idno type="eISBN">978-1-4614-4178-6</idno><idno type="chapter-id">b978-1-4614-4178-6_1</idno><idno type="part-id">Part1</idno><editor><persName><forename type="first">Urszula</forename><surname>Ledzewicz</surname></persName><email>uledzew@siue.edu</email><affiliation><orgName type="department">, Mathematics and Statistics</orgName><orgName type="institution">Southern Illinois University Edwardsvill</orgName><address><settlement>Edwardsville</settlement><postCode>62026</postCode><region>Illinois</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Heinz</forename><surname>Schättler</surname></persName><email>hms@wustl.edu</email><affiliation><orgName type="department">, Electrical and Systems Engineering</orgName><orgName type="institution">Washington University</orgName><address><street>Brookings Drive 1</street><settlement>Saint Louis</settlement><postCode>63130</postCode><region>Missouri</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Avner</forename><surname>Friedman</surname></persName><email>afriedman@math.ohio-state.edu</email><affiliation><orgName type="department">Mathematical Biosciences Institute</orgName><orgName type="institution">Ohio State University</orgName><address><street>W. 18th Avenue 231</street><settlement>Columbus</settlement><postCode>43210-1292</postCode><region>Ohio</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Eugene</forename><surname>Kashdan</surname></persName><email>ekashdan@post.tau.ac.il</email><affiliation><orgName type="institution">Tel Aviv University</orgName><address><street>Ramat Aviv</street><settlement>Tel Aviv</settlement><postCode>69978</postCode><country key="IL">ISRAEL</country></address></affiliation></editor><imprint><biblScope unit="page" from="3">3</biblScope><biblScope unit="page" to="31">31</biblScope><biblScope unit="chapter-count">15</biblScope><biblScope unit="part-chapter-count">3</biblScope></imprint></monogr><series><title level="s" type="main" xml:lang="en">Lecture Notes on Mathematical Modelling in the Life Sciences</title><title level="s" type="abbrev">Lect.Notes Math.Modelling Life Sci.</title><idno type="pISSN">2193-4789</idno><idno type="eISSN">2193-4797</idno><idno type="seriesID">10049</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><abstract xml:lang="en"><head>Abstract</head><p>Human immunodeficiency virus type 1 (HIV-1) is one of the most and intensely studied viral pathogens in the history of science. However, despite the huge scientific effort, many aspects of HIV infection dynamics and disease pathogenesis within a host are still not understood. Mathematical modeling has helped to improve our understanding of the infection as well as the dynamics of the immune response. Fitting models to clinical data has provided estimates for the turnover rate of target cells [82, 83,111], the lifetime of infected cells and viral particles [104, 109], as well as for the rate of viral production by infected cells [21, 44]. Most mathematical models applied to experimental data on viral infections have been formulated as systems of ordinary differential equations (ODE) [91, 101, 104].</p></abstract><textClass ana="subject"><keywords scheme="book-subject-collection"><list><label>SUCO11649</label><item><term>Mathematics and Statistics</term></item></list></keywords></textClass><textClass ana="subject"><keywords scheme="book-subject"><list><label>SCM</label><item><term type="Primary">Mathematics</term></item><label>SCM31000</label><item><term type="Secondary" subtype="priority-1">Mathematical and Computational Biology</term></item><label>SCM14068</label><item><term type="Secondary" subtype="priority-2">Mathematical Modeling and Industrial Mathematics</term></item><label>SCL00004</label><item><term type="Secondary" subtype="priority-3">Life Sciences, general</term></item><label>SCT2700X</label><item><term type="Secondary" subtype="priority-4">Biomedical Engineering</term></item><label>SCM26008</label><item><term type="Secondary" subtype="priority-5">Optimization</term></item></list></keywords></textClass><langUsage><language ident="EN"></language></langUsage></profileDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/ark:/67375/HCB-Z133C42L-J/fulltext.txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="corpus springer-ebooks not found" wicri:toSee="no header"><istex:xmlDeclaration>version="1.0" encoding="UTF-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//Springer-Verlag//DTD A++ V2.4//EN" URI="http://devel.springer.de/A++/V2.4/DTD/A++V2.4.dtd" name="istex:docType"></istex:docType><istex:document><Publisher><PublisherInfo><PublisherName>Springer New York</PublisherName><PublisherLocation>New York, NY</PublisherLocation><PublisherImprintName>Springer</PublisherImprintName></PublisherInfo><Series><SeriesInfo ID="Series_1" SeriesType="Series" TocLevels="0"><SeriesID>10049</SeriesID><SeriesPrintISSN>2193-4789</SeriesPrintISSN><SeriesElectronicISSN>2193-4797</SeriesElectronicISSN><SeriesTitle Language="En">Lecture Notes on Mathematical Modelling in the Life Sciences</SeriesTitle><SeriesAbbreviatedTitle>Lect.Notes Math.Modelling Life Sci.</SeriesAbbreviatedTitle></SeriesInfo><Book Language="En" OutputMedium="All"><BookInfo BookProductType="Contributed volume" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="3" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="2"><BookID>978-1-4614-4178-6</BookID><BookTitle>Mathematical Methods and Models in Biomedicine</BookTitle><BookSequenceNumber>3</BookSequenceNumber><BookDOI>10.1007/978-1-4614-4178-6</BookDOI><BookTitleID>300358</BookTitleID><BookPrintISBN>978-1-4614-4177-9</BookPrintISBN><BookElectronicISBN>978-1-4614-4178-6</BookElectronicISBN><BookEdition>2013</BookEdition><BookChapterCount>15</BookChapterCount><BookCopyright><CopyrightHolderName>Springer Science+Business Media New York</CopyrightHolderName><CopyrightYear>2013</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="SCM" Type="Primary">Mathematics</BookSubject><BookSubject Code="SCM31000" Priority="1" Type="Secondary">Mathematical and Computational Biology</BookSubject><BookSubject Code="SCM14068" Priority="2" Type="Secondary">Mathematical Modeling and Industrial Mathematics</BookSubject><BookSubject Code="SCL00004" Priority="3" Type="Secondary">Life Sciences, general</BookSubject><BookSubject Code="SCT2700X" Priority="4" Type="Secondary">Biomedical Engineering</BookSubject><BookSubject Code="SCM26008" Priority="5" Type="Secondary">Optimization</BookSubject><SubjectCollection Code="SUCO11649">Mathematics and Statistics</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>10049</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="AffID1"><EditorName DisplayOrder="Western"><GivenName>Urszula</GivenName><FamilyName>Ledzewicz</FamilyName></EditorName><Contact><Phone>1-618-650-2361</Phone><Fax>1-618-650-3771</Fax><Email>uledzew@siue.edu</Email></Contact></Editor><Editor AffiliationIDS="AffID2"><EditorName DisplayOrder="Western"><GivenName>Heinz</GivenName><FamilyName>Schättler</FamilyName></EditorName><Contact><Phone>1-314-935-6019</Phone><Fax>1-314-935-7500</Fax><Email>hms@wustl.edu</Email></Contact></Editor><Editor AffiliationIDS="AffID3"><EditorName DisplayOrder="Western"><GivenName>Avner</GivenName><FamilyName>Friedman</FamilyName></EditorName><Contact><Email>afriedman@math.ohio-state.edu</Email></Contact></Editor><Editor AffiliationIDS="AffID4"><EditorName DisplayOrder="Western"><GivenName>Eugene</GivenName><FamilyName>Kashdan</FamilyName></EditorName><Contact><Email>ekashdan@post.tau.ac.il</Email></Contact></Editor><Affiliation ID="AffID1"><OrgDivision>, Mathematics and Statistics</OrgDivision><OrgName>Southern Illinois University Edwardsvill</OrgName><OrgAddress><City>Edwardsville</City><Postcode>62026</Postcode><State>Illinois</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="AffID2"><OrgDivision>, Electrical and Systems Engineering</OrgDivision><OrgName>Washington University</OrgName><OrgAddress><Street>Brookings Drive 1</Street><City>Saint Louis</City><Postcode>63130</Postcode><State>Missouri</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="AffID3"><OrgDivision>Mathematical Biosciences Institute</OrgDivision><OrgName>Ohio State University</OrgName><OrgAddress><Street>W. 18th Avenue 231</Street><City>Columbus</City><Postcode>43210-1292</Postcode><State>Ohio</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="AffID4"><OrgName>Tel Aviv University</OrgName><OrgAddress><Street>Ramat Aviv</Street><City>Tel Aviv</City><Postcode>69978</Postcode><Country>Israel</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part1" OutputMedium="All"><PartInfo OutputMedium="All" TocLevels="0"><PartID>1</PartID><PartSequenceNumber>1</PartSequenceNumber><PartTitle>Immune System Modeling</PartTitle><PartChapterCount>3</PartChapterCount><PartContext><SeriesID>10049</SeriesID><BookID>978-1-4614-4178-6</BookID><BookTitle>Mathematical Methods and Models in Biomedicine</BookTitle></PartContext></PartInfo><Chapter ID="b978-1-4614-4178-6_1" Language="En" OutputMedium="All"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" Language="En" NumberingDepth="3" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><ChapterID>1</ChapterID><ChapterDOI>10.1007/978-1-4614-4178-6_1</ChapterDOI><ChapterSequenceNumber>1</ChapterSequenceNumber><ChapterTitle Language="En">Spatial Aspects of HIV Infection</ChapterTitle><ChapterFirstPage>3</ChapterFirstPage><ChapterLastPage>31</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer Science+Business Media New York</CopyrightHolderName><CopyrightYear>2013</CopyrightYear></ChapterCopyright><ChapterHistory><RegistrationDate><Year>2012</Year><Month>5</Month><Day>7</Day></RegistrationDate><OnlineDate><Year>2012</Year><Month>9</Month><Day>6</Day></OnlineDate></ChapterHistory><ChapterContext><SeriesID>10049</SeriesID><PartID>1</PartID><BookID>978-1-4614-4178-6</BookID><BookTitle>Mathematical Methods and Models in Biomedicine</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Frederik</GivenName><FamilyName>Graw</FamilyName></AuthorName><Contact><Email>fgraw@lanl.gov</Email></Contact></Author><Author AffiliationIDS="Aff1" CorrespondingAffiliationID="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Alan</GivenName><GivenName>S.</GivenName><FamilyName>Perelson</FamilyName></AuthorName><Contact><Email>asp@lanl.gov</Email></Contact></Author><Affiliation ID="Aff1"><OrgName>Theoretical Biology and Biophysics, Los Alamos National Laboratory</OrgName><OrgAddress><City>Los Alamos</City><State>NM</State><Postcode>87545</Postcode><Country>USA</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs00021" Language="En" OutputMedium="Online"><Heading>Abstract</Heading><Para>Human immunodeficiency virus type 1 (HIV-1) is one of the most and intensely studied viral pathogens in the history of science. However, despite the huge scientific effort, many aspects of HIV infection dynamics and disease pathogenesis within a host are still not understood. Mathematical modeling has helped to improve our understanding of the infection as well as the dynamics of the immune response. Fitting models to clinical data has provided estimates for the turnover rate of target cells [82, 83,111], the lifetime of infected cells and viral particles [104, 109], as well as for the rate of viral production by infected cells [21, 44]. Most mathematical models applied to experimental data on viral infections have been formulated as systems of ordinary differential equations (ODE) [91, 101, 104].</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Spatial Aspects of HIV Infection</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Spatial Aspects of HIV Infection</title></titleInfo><name type="personal"><namePart type="given">Frederik</namePart><namePart type="family">Graw</namePart><affiliation>Theoretical Biology and Biophysics, Los Alamos National Laboratory, 87545, Los Alamos, NM, USA</affiliation><affiliation>E-mail: fgraw@lanl.gov</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal" displayLabel="corresp"><namePart type="given">Alan</namePart><namePart type="given">S.</namePart><namePart type="family">Perelson</namePart><affiliation>Theoretical Biology and Biophysics, Los Alamos National Laboratory, 87545, Los Alamos, NM, USA</affiliation><affiliation>E-mail: asp@lanl.gov</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre displayLabel="OriginalPaper" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" type="research-article" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-1JC4F85T-7">research-article</genre><originInfo><publisher>Springer New York</publisher><place><placeTerm type="text">New York, NY</placeTerm></place><dateIssued encoding="w3cdtf">2013</dateIssued><copyrightDate encoding="w3cdtf">2013</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><abstract lang="en">Abstract: Human immunodeficiency virus type 1 (HIV-1) is one of the most and intensely studied viral pathogens in the history of science. However, despite the huge scientific effort, many aspects of HIV infection dynamics and disease pathogenesis within a host are still not understood. Mathematical modeling has helped to improve our understanding of the infection as well as the dynamics of the immune response. Fitting models to clinical data has provided estimates for the turnover rate of target cells [82, 83,111], the lifetime of infected cells and viral particles [104, 109], as well as for the rate of viral production by infected cells [21, 44]. Most mathematical models applied to experimental data on viral infections have been formulated as systems of ordinary differential equations (ODE) [91, 101, 104].</abstract><relatedItem type="host"><titleInfo><title>Mathematical Methods and Models in Biomedicine</title></titleInfo><name type="personal"><namePart type="given">Urszula</namePart><namePart type="family">Ledzewicz</namePart><affiliation>, Mathematics and Statistics, Southern Illinois University Edwardsvill, 62026, Edwardsville, Illinois, USA</affiliation><affiliation>E-mail: uledzew@siue.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Heinz</namePart><namePart type="family">Schättler</namePart><affiliation>, Electrical and Systems Engineering, Washington University, Brookings Drive 1, 63130, Saint Louis, Missouri, USA</affiliation><affiliation>E-mail: hms@wustl.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Avner</namePart><namePart type="family">Friedman</namePart><affiliation>Mathematical Biosciences Institute, Ohio State University, W. 18th Avenue 231, 43210-1292, Columbus, Ohio, USA</affiliation><affiliation>E-mail: afriedman@math.ohio-state.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Eugene</namePart><namePart type="family">Kashdan</namePart><affiliation>Tel Aviv University, Ramat Aviv, 69978, Tel Aviv, Israel</affiliation><affiliation>E-mail: ekashdan@post.tau.ac.il</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" authority="ISTEX" authorityURI="https://publication-type.data.istex.fr" valueURI="https://publication-type.data.istex.fr/ark:/67375/JMC-0G6R5W5T-Z">book-series</genre><originInfo><publisher>Springer</publisher><copyrightDate encoding="w3cdtf">2013</copyrightDate><issuance>monographic</issuance><edition>2013</edition></originInfo><subject><genre>Book-Subject-Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11649">Mathematics and Statistics</topic></subject><subject><genre>Book-Subject-Group</genre><topic authority="SpringerSubjectCodes" authorityURI="SCM">Mathematics</topic><topic authority="SpringerSubjectCodes" authorityURI="SCM31000">Mathematical and Computational Biology</topic><topic authority="SpringerSubjectCodes" authorityURI="SCM14068">Mathematical Modeling and Industrial Mathematics</topic><topic authority="SpringerSubjectCodes" authorityURI="SCL00004">Life Sciences, general</topic><topic authority="SpringerSubjectCodes" authorityURI="SCT2700X">Biomedical Engineering</topic><topic authority="SpringerSubjectCodes" authorityURI="SCM26008">Optimization</topic></subject><identifier type="DOI">10.1007/978-1-4614-4178-6</identifier><identifier type="ISBN">978-1-4614-4177-9</identifier><identifier type="eISBN">978-1-4614-4178-6</identifier><identifier type="ISSN">2193-4789</identifier><identifier type="eISSN">2193-4797</identifier><identifier type="BookTitleID">300358</identifier><identifier type="BookID">978-1-4614-4178-6</identifier><identifier type="BookChapterCount">15</identifier><identifier type="BookSequenceNumber">3</identifier><identifier type="PartChapterCount">3</identifier><part><date>2013</date><detail type="part"><title>Immune System Modeling</title></detail><extent unit="pages"><start>3</start><end>31</end></extent></part><recordInfo><recordOrigin>Springer Science+Business Media New York, 2013</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes on Mathematical Modelling in the Life Sciences</title></titleInfo><originInfo><publisher>Springer</publisher><copyrightDate encoding="w3cdtf">2013</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">2193-4789</identifier><identifier type="eISSN">2193-4797</identifier><identifier type="SeriesID">10049</identifier><recordInfo><recordOrigin>Springer Science+Business Media New York, 2013</recordOrigin></recordInfo></relatedItem><identifier type="istex">16770A8B94389227DC141411A0F4EDF0252E9146</identifier><identifier type="ark">ark:/67375/HCB-Z133C42L-J</identifier><identifier type="DOI">10.1007/978-1-4614-4178-6_1</identifier><identifier type="ChapterID">1</identifier><identifier type="ChapterID">b978-1-4614-4178-6_1</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer Science+Business Media New York, 2013</accessCondition><recordInfo><recordContentSource authority="ISTEX" authorityURI="https://loaded-corpus.data.istex.fr" valueURI="https://loaded-corpus.data.istex.fr/ark:/67375/XBH-RLRX46XW-4">springer</recordContentSource><recordOrigin>Springer Science+Business Media New York, 2013</recordOrigin></recordInfo></mods><json:item><extension>json</extension><original>false</original><mimetype>application/json</mimetype><uri>https://api.istex.fr/ark:/67375/HCB-Z133C42L-J/record.json</uri></json:item></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/SrasV1/Data/Istex/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000D10 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 000D10 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= SrasV1
|flux= Istex
|étape= Corpus
|type= RBID
|clé= ISTEX:16770A8B94389227DC141411A0F4EDF0252E9146
|texte= Spatial Aspects of HIV Infection
}}
| This area was generated with Dilib version V0.6.33. |  |