Spatial and Temporal Dynamics of Rubella in Peru, 1997–2006: Geographic Patterns, Age at Infection and Estimation of Transmissibility
Identifieur interne : 000233 ( Istex/Corpus ); précédent : 000232; suivant : 000234Spatial and Temporal Dynamics of Rubella in Peru, 1997–2006: Geographic Patterns, Age at Infection and Estimation of Transmissibility
Auteurs : Daniel Rios-Doria ; Gerardo Chowell ; Cesar Munayco-Escate ; Alvaro Witthembury ; Carlos Castillo-ChavezSource :
Abstract
Abstract: Detailed studies on the spatial and temporal patterns of rubella transmission are scarce particularly in developing countries but could prove useful in improving epidemiological surveillance and intervention strategies such as vaccination. We use highly refined spatial, temporal and age-specific incidence data of Peru, a geographically diverse country, to quantify spatial-temporal patterns of incidence and transmissibility for rubella during the period 1997–2006. We estimate the basic reproduction number (R 0) based on the mean age at infection and the per capita birth rate of the population as well as the reproduction number (accounting for the fraction of the population effectively protected to infection) using the initial intrinsic growth rate of individual outbreaks and estimates of epidemiological parameters for rubella. A wavelet time series analysis is conducted to explore the periodicity of the rubella weekly time series, and the results of our analyses are compared to those carried out for time series of other childhood infectious diseases. We also identify the presence of a critical community size and quantify spatial heterogeneity across geographic regions through the use of Lorenz curves and their corresponding Gini indices. The underlying distributions of rubella outbreak attack rates and epidemic durations across Peru are characterized.
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DOI: 10.1007/978-90-481-2313-1_13
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<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Spatial and Temporal Dynamics of Rubella in Peru, 1997–2006: Geographic Patterns, Age at Infection and Estimation of Transmissibility</title><author><name sortKey="Rios Doria, Daniel" sort="Rios Doria, Daniel" uniqKey="Rios Doria D" first="Daniel" last="Rios-Doria">Daniel Rios-Doria</name><affiliation><mods:affiliation>School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>Mathematical, Computational, Modeling Sciences Center, Arizona State University, Tempe, AZ 85287, USA</mods:affiliation></affiliation></author><author><name sortKey="Chowell, Gerardo" sort="Chowell, Gerardo" uniqKey="Chowell G" first="Gerardo" last="Chowell">Gerardo Chowell</name><affiliation><mods:affiliation>School of Human Evolution and Social Change, Arizona State University, Box 872402, Tempe, AZ 85287, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>Mathematical, Computational, Modeling Sciences Center, Arizona State University, Tempe, AZ 85287, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA</mods:affiliation></affiliation></author><author><name sortKey="Munayco Escate, Cesar" sort="Munayco Escate, Cesar" uniqKey="Munayco Escate C" first="Cesar" last="Munayco-Escate">Cesar Munayco-Escate</name><affiliation><mods:affiliation>Dirección General de Epidemiología, Ministerio de Salud, Perú, Jr. Camilo-Carrillo 402, Jesus Maria-Lima 11, Peru</mods:affiliation></affiliation></author><author><name sortKey="Witthembury, Alvaro" sort="Witthembury, Alvaro" uniqKey="Witthembury A" first="Alvaro" last="Witthembury">Alvaro Witthembury</name><affiliation><mods:affiliation>Dirección General de Epidemiología, Ministerio de Salud, Perú, Jr. Camilo-Carrillo 402, Jesus Maria-Lima 11, Perú</mods:affiliation></affiliation></author><author><name sortKey="Castillo Chavez, Carlos" sort="Castillo Chavez, Carlos" uniqKey="Castillo Chavez C" first="Carlos" last="Castillo-Chavez">Carlos Castillo-Chavez</name><affiliation><mods:affiliation>Mathematical, Computational, and Modeling Sciences Center, P.O. Box 871904, Arizona State University, Tempe, AZ 85287, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>Department of Mathematics and Statistics, Arizona State University, Tempe, AZ, 85287, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: chavez@math.asu.edu</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:14EB2C535C53C6615583E62AADAF4C9A4714BA7E</idno><date when="2009" year="2009">2009</date><idno type="doi">10.1007/978-90-481-2313-1_13</idno><idno type="url">https://api.istex.fr/ark:/67375/HCB-QNTNSMFS-Z/fulltext.pdf</idno><idno type="wicri:Area/Istex/Corpus">000233</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000233</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Spatial and Temporal Dynamics of Rubella in Peru, 1997–2006: Geographic Patterns, Age at Infection and Estimation of Transmissibility</title><author><name sortKey="Rios Doria, Daniel" sort="Rios Doria, Daniel" uniqKey="Rios Doria D" first="Daniel" last="Rios-Doria">Daniel Rios-Doria</name><affiliation><mods:affiliation>School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>Mathematical, Computational, Modeling Sciences Center, Arizona State University, Tempe, AZ 85287, USA</mods:affiliation></affiliation></author><author><name sortKey="Chowell, Gerardo" sort="Chowell, Gerardo" uniqKey="Chowell G" first="Gerardo" last="Chowell">Gerardo Chowell</name><affiliation><mods:affiliation>School of Human Evolution and Social Change, Arizona State University, Box 872402, Tempe, AZ 85287, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>Mathematical, Computational, Modeling Sciences Center, Arizona State University, Tempe, AZ 85287, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA</mods:affiliation></affiliation></author><author><name sortKey="Munayco Escate, Cesar" sort="Munayco Escate, Cesar" uniqKey="Munayco Escate C" first="Cesar" last="Munayco-Escate">Cesar Munayco-Escate</name><affiliation><mods:affiliation>Dirección General de Epidemiología, Ministerio de Salud, Perú, Jr. Camilo-Carrillo 402, Jesus Maria-Lima 11, Peru</mods:affiliation></affiliation></author><author><name sortKey="Witthembury, Alvaro" sort="Witthembury, Alvaro" uniqKey="Witthembury A" first="Alvaro" last="Witthembury">Alvaro Witthembury</name><affiliation><mods:affiliation>Dirección General de Epidemiología, Ministerio de Salud, Perú, Jr. Camilo-Carrillo 402, Jesus Maria-Lima 11, Perú</mods:affiliation></affiliation></author><author><name sortKey="Castillo Chavez, Carlos" sort="Castillo Chavez, Carlos" uniqKey="Castillo Chavez C" first="Carlos" last="Castillo-Chavez">Carlos Castillo-Chavez</name><affiliation><mods:affiliation>Mathematical, Computational, and Modeling Sciences Center, P.O. Box 871904, Arizona State University, Tempe, AZ 85287, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>Department of Mathematics and Statistics, Arizona State University, Tempe, AZ, 85287, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: chavez@math.asu.edu</mods:affiliation></affiliation></author></analytic><monogr></monogr></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Detailed studies on the spatial and temporal patterns of rubella transmission are scarce particularly in developing countries but could prove useful in improving epidemiological surveillance and intervention strategies such as vaccination. We use highly refined spatial, temporal and age-specific incidence data of Peru, a geographically diverse country, to quantify spatial-temporal patterns of incidence and transmissibility for rubella during the period 1997–2006. We estimate the basic reproduction number (R 0) based on the mean age at infection and the per capita birth rate of the population as well as the reproduction number (accounting for the fraction of the population effectively protected to infection) using the initial intrinsic growth rate of individual outbreaks and estimates of epidemiological parameters for rubella. A wavelet time series analysis is conducted to explore the periodicity of the rubella weekly time series, and the results of our analyses are compared to those carried out for time series of other childhood infectious diseases. We also identify the presence of a critical community size and quantify spatial heterogeneity across geographic regions through the use of Lorenz curves and their corresponding Gini indices. The underlying distributions of rubella outbreak attack rates and epidemic durations across Peru are characterized.</div></front></TEI><istex><corpusName>springer-ebooks</corpusName><editor><json:item><name>Dr. Gerardo Chowell</name><affiliations><json:string>Arizona State University School of Human Evolution & Social Change, Tempe, AZ 85287-2402, USA</json:string><json:string>E-mail: gchowell@asu.edu</json:string></affiliations></json:item><json:item><name>Dr. James M. Hyman</name><affiliations><json:string>Los Alamos National Laboratory, Mail Stop B284, Los Alamos, NM 87545, USA</json:string><json:string>E-mail: mac@t7.lanl.gov</json:string></affiliations></json:item><json:item><name>Dr. Luís M. A. Bettencourt</name><affiliations><json:string>Los Alamos National Laboratory, Mail Stop B284, Los Alamos, NM 87545, USA</json:string><json:string>E-mail: lmbett@lanl.gov</json:string></affiliations></json:item><json:item><name>Carlos Castillo-Chavez</name><affiliations><json:string>Dept. Mathematics & Statistics, Arizona State University, P.O.Box 871804, Tempe, AZ 85287, USA</json:string><json:string>E-mail: ccchavez@asu.edu</json:string></affiliations></json:item></editor><author><json:item><name>Daniel Rios-Doria</name><affiliations><json:string>School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, USA</json:string><json:string>Mathematical, Computational, Modeling Sciences Center, Arizona State University, Tempe, AZ 85287, USA</json:string></affiliations></json:item><json:item><name>Gerardo Chowell</name><affiliations><json:string>School of Human Evolution and Social Change, Arizona State University, Box 872402, Tempe, AZ 85287, USA</json:string><json:string>Mathematical, Computational, Modeling Sciences Center, Arizona State University, Tempe, AZ 85287, USA</json:string><json:string>Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA</json:string></affiliations></json:item><json:item><name>Cesar Munayco-Escate</name><affiliations><json:string>Dirección General de Epidemiología, Ministerio de Salud, Perú, Jr. Camilo-Carrillo 402, Jesus Maria-Lima 11, Peru</json:string></affiliations></json:item><json:item><name>Alvaro Witthembury</name><affiliations><json:string>Dirección General de Epidemiología, Ministerio de Salud, Perú, Jr. Camilo-Carrillo 402, Jesus Maria-Lima 11, Perú</json:string></affiliations></json:item><json:item><name>Carlos Castillo-Chavez</name><affiliations><json:string>Mathematical, Computational, and Modeling Sciences Center, P.O. Box 871904, Arizona State University, Tempe, AZ 85287, USA</json:string><json:string>School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, USA</json:string><json:string>Department of Mathematics and Statistics, Arizona State University, Tempe, AZ, 85287, USA</json:string><json:string>Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA</json:string><json:string>E-mail: chavez@math.asu.edu</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Rubella</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Peru</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Epidemic</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Periodicity</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Reproduction number</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Age at infection</value></json:item></subject><arkIstex>ark:/67375/HCB-QNTNSMFS-Z</arkIstex><language><json:string>eng</json:string></language><originalGenre><json:string>chapter</json:string></originalGenre><abstract>Abstract: Detailed studies on the spatial and temporal patterns of rubella transmission are scarce particularly in developing countries but could prove useful in improving epidemiological surveillance and intervention strategies such as vaccination. We use highly refined spatial, temporal and age-specific incidence data of Peru, a geographically diverse country, to quantify spatial-temporal patterns of incidence and transmissibility for rubella during the period 1997–2006. We estimate the basic reproduction number (R 0) based on the mean age at infection and the per capita birth rate of the population as well as the reproduction number (accounting for the fraction of the population effectively protected to infection) using the initial intrinsic growth rate of individual outbreaks and estimates of epidemiological parameters for rubella. A wavelet time series analysis is conducted to explore the periodicity of the rubella weekly time series, and the results of our analyses are compared to those carried out for time series of other childhood infectious diseases. We also identify the presence of a critical community size and quantify spatial heterogeneity across geographic regions through the use of Lorenz curves and their corresponding Gini indices. The underlying distributions of rubella outbreak attack rates and epidemic durations across Peru are characterized.</abstract><qualityIndicators><score>9.388</score><pdfWordCount>5699</pdfWordCount><pdfCharCount>35351</pdfCharCount><pdfVersion>1.3</pdfVersion><pdfPageCount>17</pdfPageCount><pdfPageSize>439.37 x 666.142 pts</pdfPageSize><refBibsNative>false</refBibsNative><abstractWordCount>199</abstractWordCount><abstractCharCount>1382</abstractCharCount><keywordCount>6</keywordCount></qualityIndicators><title>Spatial and Temporal Dynamics of Rubella in Peru, 1997–2006: Geographic Patterns, Age at Infection and Estimation of Transmissibility</title><chapterId><json:string>13</json:string><json:string>Chap13</json:string></chapterId><genre><json:string>chapter</json:string></genre><host><title>Mathematical and Statistical Estimation Approaches in Epidemiology</title><language><json:string>unknown</json:string></language><copyrightDate>2009</copyrightDate><doi><json:string>10.1007/978-90-481-2313-1</json:string></doi><eisbn><json:string>978-90-481-2313-1</json:string></eisbn><bookId><json:string>978-90-481-2313-1</json:string></bookId><isbn><json:string>978-90-481-2312-4</json:string></isbn><pages><first>325</first><last>341</last></pages><genre><json:string>book</json:string></genre><editor><json:item><name>Dr. Gerardo Chowell</name><affiliations><json:string>Arizona State University School of Human Evolution & Social Change, Tempe, AZ 85287-2402, USA</json:string><json:string>E-mail: gchowell@asu.edu</json:string></affiliations></json:item><json:item><name>Dr. James M. Hyman</name><affiliations><json:string>Los Alamos National Laboratory, Mail Stop B284, Los Alamos, NM 87545, USA</json:string><json:string>E-mail: mac@t7.lanl.gov</json:string></affiliations></json:item><json:item><name>Dr. Luís M. A. Bettencourt</name><affiliations><json:string>Los Alamos National Laboratory, Mail Stop B284, Los Alamos, NM 87545, USA</json:string><json:string>E-mail: lmbett@lanl.gov</json:string></affiliations></json:item><json:item><name>Carlos Castillo-Chavez</name><affiliations><json:string>Dept. Mathematics & Statistics, Arizona State University, P.O.Box 871804, Tempe, AZ 85287, USA</json:string><json:string>E-mail: ccchavez@asu.edu</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>Probability Theory and Stochastic Processes</value></json:item><json:item><value>Biomedicine general</value></json:item><json:item><value>Infectious Diseases</value></json:item><json:item><value>Statistics for Life Sciences, Medicine, Health Sciences</value></json:item><json:item><value>Epidemiology</value></json:item></subject></host><ark><json:string>ark:/67375/HCB-QNTNSMFS-Z</json:string></ark><publicationDate>2009</publicationDate><copyrightDate>2009</copyrightDate><doi><json:string>10.1007/978-90-481-2313-1_13</json:string></doi><id>14EB2C535C53C6615583E62AADAF4C9A4714BA7E</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-QNTNSMFS-Z/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-QNTNSMFS-Z/bundle.zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/ark:/67375/HCB-QNTNSMFS-Z/fulltext.tei"><teiHeader><fileDesc><titleStmt><title level="m" type="main">Mathematical and Statistical Estimation Approaches in Epidemiology</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>Springer Netherlands</publisher><pubPlace>Dordrecht</pubPlace><availability><licence>Springer Science+Business Media B.V.</licence></availability><date when="2009">2009</date></publicationStmt><notesStmt><note type="content-type" subtype="other" source="Contributed volume" scheme="https://content-type.data.istex.fr/ark:/67375/XTP-7474895G-0">other</note><note type="publication-type" subtype="book" scheme="https://publication-type.data.istex.fr/ark:/67375/JMC-5WTPMB5N-F">book</note></notesStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Spatial and Temporal Dynamics of Rubella in Peru, 1997–2006: Geographic Patterns, Age at Infection and Estimation of Transmissibility</title><author><persName><forename type="first">Daniel</forename><surname>Rios-Doria</surname></persName><affiliation><orgName type="department">School of Human Evolution and Social Change</orgName><orgName type="institution">Arizona State University</orgName><address><settlement>Tempe</settlement><region>AZ 85287</region><country key="US">UNITED STATES</country></address></affiliation><affiliation><orgName type="department">Mathematical, Computational, Modeling Sciences Center</orgName><orgName type="institution">Arizona State University</orgName><address><settlement>Tempe</settlement><region>AZ 85287</region><country key="US">UNITED STATES</country></address></affiliation></author><author><persName><forename type="first">Gerardo</forename><surname>Chowell</surname></persName><affiliation><orgName type="department">School of Human Evolution and Social Change</orgName><orgName type="institution">Arizona State University</orgName><address><postBox>Box 872402</postBox><settlement>Tempe</settlement><region>AZ 85287</region><country key="US">UNITED STATES</country></address></affiliation><affiliation><orgName type="department">Mathematical, Computational, Modeling Sciences Center</orgName><orgName type="institution">Arizona State University</orgName><address><settlement>Tempe</settlement><region>AZ 85287</region><country key="US">UNITED STATES</country></address></affiliation><affiliation><orgName type="institution">Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health</orgName><address><settlement>Bethesda</settlement><region>MD</region><country key="US">UNITED STATES</country></address></affiliation></author><author><persName><forename type="first">Cesar</forename><surname>Munayco-Escate</surname></persName><affiliation><orgName type="institution">Dirección General de Epidemiología, Ministerio de Salud, Perú, Jr. Camilo-Carrillo 402</orgName><address><region>Jesus Maria-Lima 11</region><country key="PE">PERU</country></address></affiliation></author><author><persName><forename type="first">Alvaro</forename><surname>Witthembury</surname></persName><affiliation><orgName type="institution">Dirección General de Epidemiología, Ministerio de Salud, Perú, Jr. Camilo-Carrillo 402</orgName><address><region>Jesus Maria-Lima 11</region><country key=""></country></address></affiliation></author><author><persName><forename type="first">Carlos</forename><surname>Castillo-Chavez</surname></persName><email>chavez@math.asu.edu</email><affiliation><orgName type="department">Mathematical, Computational, and Modeling Sciences Center, P.O. Box 871904</orgName><orgName type="institution">Arizona State University</orgName><address><settlement>Tempe</settlement><region>AZ 85287</region><country key="US">UNITED STATES</country></address></affiliation><affiliation><orgName type="department">School of Human Evolution and Social Change</orgName><orgName type="institution">Arizona State University</orgName><address><settlement>Tempe</settlement><region>AZ 85287</region><country key="US">UNITED STATES</country></address></affiliation><affiliation><orgName type="department">Department of Mathematics and Statistics</orgName><orgName type="institution">Arizona State University</orgName><address><settlement>Tempe</settlement><region>AZ, 85287</region><country key="US">UNITED STATES</country></address></affiliation><affiliation><orgName type="institution">Santa Fe Institute</orgName><address><street>1399 Hyde Park Road</street><settlement>Santa Fe</settlement><region>NM 87501</region><country key="US">UNITED STATES</country></address></affiliation></author><idno type="istex">14EB2C535C53C6615583E62AADAF4C9A4714BA7E</idno><idno type="ark">ark:/67375/HCB-QNTNSMFS-Z</idno><idno type="DOI">10.1007/978-90-481-2313-1_13</idno></analytic><monogr><title level="m" type="main">Mathematical and Statistical Estimation Approaches in Epidemiology</title><idno type="DOI">10.1007/978-90-481-2313-1</idno><idno type="book-id">978-90-481-2313-1</idno><idno type="ISBN">978-90-481-2312-4</idno><idno type="eISBN">978-90-481-2313-1</idno><idno type="chapter-id">Chap13</idno><editor><persName><forename type="first">Gerardo</forename><surname>Chowell</surname></persName><email>gchowell@asu.edu</email><affiliation><orgName type="institution">Arizona State University School of Human Evolution & Social Change</orgName><address><settlement>Tempe</settlement><region>AZ 85287-2402</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">James</forename><forename type="first">M.</forename><surname>Hyman</surname></persName><email>mac@t7.lanl.gov</email><affiliation><orgName type="institution">Los Alamos National Laboratory</orgName><address><street>Mail Stop B284</street><settlement>Los Alamos</settlement><region>NM 87545</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Luís</forename><forename type="first">M.</forename><forename type="first">A.</forename><surname>Bettencourt</surname></persName><email>lmbett@lanl.gov</email><affiliation><orgName type="institution">Los Alamos National Laboratory</orgName><address><street>Mail Stop B284</street><settlement>Los Alamos</settlement><region>NM 87545</region><country key="US">UNITED STATES</country></address></affiliation></editor><editor><persName><forename type="first">Carlos</forename><surname>Castillo-Chavez</surname></persName><email>ccchavez@asu.edu</email><affiliation><orgName type="department">Dept. Mathematics & Statistics</orgName><orgName type="institution">Arizona State University</orgName><address><postBox>P.O.Box 871804</postBox><settlement>Tempe</settlement><region>AZ 85287</region><country key="US">UNITED STATES</country></address></affiliation></editor><imprint><biblScope unit="page" from="325">325</biblScope><biblScope unit="page" to="341">341</biblScope><biblScope unit="chapter-count">14</biblScope></imprint></monogr></biblStruct></sourceDesc></fileDesc><profileDesc><abstract xml:lang="en"><head>Abstract</head><p>Detailed studies on the spatial and temporal patterns of rubella transmission are scarce particularly in developing countries but could prove useful in improving epidemiological surveillance and intervention strategies such as vaccination. We use highly refined spatial, temporal and age-specific incidence data of Peru, a geographically diverse country, to quantify spatial-temporal patterns of incidence and transmissibility for rubella during the period 1997–2006. We estimate the basic reproduction number (<hi rend="italic">R</hi><hi rend="subscript">0</hi>) based on the mean age at infection and the per capita birth rate of the population as well as the reproduction number (accounting for the fraction of the population effectively protected to infection) using the initial intrinsic growth rate of individual outbreaks and estimates of epidemiological parameters for rubella. A wavelet time series analysis is conducted to explore the periodicity of the rubella weekly time series, and the results of our analyses are compared to those carried out for time series of other childhood infectious diseases. We also identify the presence of a critical community size and quantify spatial heterogeneity across geographic regions through the use of Lorenz curves and their corresponding Gini indices. The underlying distributions of rubella outbreak attack rates and epidemic durations across Peru are characterized.</p></abstract><textClass ana="keyword"><keywords xml:lang="en"><term>Rubella</term><term>Peru</term><term>Epidemic</term><term>Periodicity</term><term>Reproduction number</term><term>Age at infection</term></keywords></textClass><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>SCM27004</label><item><term type="Secondary" subtype="priority-1">Probability Theory and Stochastic Processes</term></item><label>SCB0000X</label><item><term type="Secondary" subtype="priority-2">Biomedicine general</term></item><label>SCH33096</label><item><term type="Secondary" subtype="priority-3">Infectious Diseases</term></item><label>SCS15007</label><item><term type="Secondary" subtype="priority-4">Statistics for Life Sciences, Medicine, Health Sciences</term></item><label>SCH63000</label><item><term type="Secondary" subtype="priority-5">Epidemiology</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-QNTNSMFS-Z/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 Netherlands</PublisherName><PublisherLocation>Dordrecht</PublisherLocation></PublisherInfo><Book Language="En"><BookInfo BookProductType="Contributed volume" ContainsESM="No" Language="En" MediaType="eBook" NumberingStyle="ContentOnly" TocLevels="0"><BookID>978-90-481-2313-1</BookID><BookTitle>Mathematical and Statistical Estimation Approaches in Epidemiology</BookTitle><BookDOI>10.1007/978-90-481-2313-1</BookDOI><BookTitleID>157921</BookTitleID><BookPrintISBN>978-90-481-2312-4</BookPrintISBN><BookElectronicISBN>978-90-481-2313-1</BookElectronicISBN><BookChapterCount>14</BookChapterCount><BookCopyright><CopyrightHolderName>Springer Netherlands</CopyrightHolderName><CopyrightYear>2009</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="SCM" Type="Primary">Mathematics</BookSubject><BookSubject Code="SCM27004" Priority="1" Type="Secondary">Probability Theory and Stochastic Processes</BookSubject><BookSubject Code="SCB0000X" Priority="2" Type="Secondary">Biomedicine general</BookSubject><BookSubject Code="SCH33096" Priority="3" Type="Secondary">Infectious Diseases</BookSubject><BookSubject Code="SCS15007" Priority="4" Type="Secondary">Statistics for Life Sciences, Medicine, Health Sciences</BookSubject><BookSubject Code="SCH63000" Priority="5" Type="Secondary">Epidemiology</BookSubject><SubjectCollection Code="SUCO11649">Mathematics and Statistics</SubjectCollection></BookSubjectGroup></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff1"><EditorName DisplayOrder="Western"><Prefix>Dr.</Prefix><GivenName>Gerardo</GivenName><FamilyName>Chowell</FamilyName></EditorName><Contact><Email>gchowell@asu.edu</Email></Contact></Editor><Editor AffiliationIDS="Aff2"><EditorName DisplayOrder="Western"><Prefix>Dr.</Prefix><GivenName>James</GivenName><GivenName>M.</GivenName><FamilyName>Hyman</FamilyName></EditorName><Contact><Email>mac@t7.lanl.gov</Email></Contact></Editor><Editor AffiliationIDS="Aff2"><EditorName DisplayOrder="Western"><Prefix>Dr.</Prefix><GivenName>Luís</GivenName><GivenName>M.</GivenName><GivenName>A.</GivenName><FamilyName>Bettencourt</FamilyName></EditorName><Contact><Email>lmbett@lanl.gov</Email></Contact></Editor><Editor AffiliationIDS="Aff3"><EditorName DisplayOrder="Western"><GivenName>Carlos</GivenName><FamilyName>Castillo-Chavez</FamilyName></EditorName><Contact><Email>ccchavez@asu.edu</Email></Contact></Editor><Affiliation ID="Aff1"><OrgName>Arizona State University School of Human Evolution & Social Change</OrgName><OrgAddress><City>Tempe</City><State>AZ 85287-2402</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgName>Los Alamos National Laboratory</OrgName><OrgAddress><Street>Mail Stop B284</Street><City>Los Alamos</City><State>NM 87545</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgDivision>Dept. Mathematics & Statistics</OrgDivision><OrgName>Arizona State University</OrgName><OrgAddress><Postbox>P.O.Box 871804</Postbox><City>Tempe</City><State>AZ 85287</State><Country>USA</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Chapter ID="Chap13" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>13</ChapterID><ChapterDOI>10.1007/978-90-481-2313-1_13</ChapterDOI><ChapterSequenceNumber>13</ChapterSequenceNumber><ChapterTitle Language="En">Spatial and Temporal Dynamics of Rubella in Peru, 1997–2006: Geographic Patterns, Age at Infection and Estimation of Transmissibility</ChapterTitle><ChapterFirstPage>325</ChapterFirstPage><ChapterLastPage>341</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer Science+Business Media B.V.</CopyrightHolderName><CopyrightYear>2009</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><BookID>978-90-481-2313-1</BookID><BookTitle>Mathematical and Statistical Estimation Approaches in Epidemiology</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff4 Aff5"><AuthorName DisplayOrder="Western"><GivenName>Daniel</GivenName><FamilyName>Rios-Doria</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff6 Aff7 Aff8"><AuthorName DisplayOrder="Western"><GivenName>Gerardo</GivenName><FamilyName>Chowell</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff9"><AuthorName DisplayOrder="Western"><GivenName>Cesar</GivenName><FamilyName>Munayco-Escate</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff10"><AuthorName DisplayOrder="Western"><GivenName>Alvaro</GivenName><FamilyName>Witthembury</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff11 Aff12 Aff13 Aff14"><AuthorName DisplayOrder="Western"><GivenName>Carlos</GivenName><FamilyName>Castillo-Chavez</FamilyName></AuthorName><Contact><Email>chavez@math.asu.edu</Email></Contact></Author><Affiliation ID="Aff4"><OrgDivision>School of Human Evolution and Social Change</OrgDivision><OrgName>Arizona State University</OrgName><OrgAddress><City>Tempe</City><State>AZ 85287</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgDivision>Mathematical, Computational, Modeling Sciences Center</OrgDivision><OrgName>Arizona State University</OrgName><OrgAddress><City>Tempe</City><State>AZ 85287</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgDivision>School of Human Evolution and Social Change</OrgDivision><OrgName>Arizona State University</OrgName><OrgAddress><Postbox>Box 872402</Postbox><City>Tempe</City><State>AZ 85287</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgDivision>Mathematical, Computational, Modeling Sciences Center</OrgDivision><OrgName>Arizona State University</OrgName><OrgAddress><City>Tempe</City><State>AZ 85287</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health</OrgName><OrgAddress><City>Bethesda</City><State>MD</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Dirección General de Epidemiología, Ministerio de Salud, Perú, Jr. Camilo-Carrillo 402</OrgName><OrgAddress><State>Jesus Maria-Lima 11</State><Country>Peru</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>Dirección General de Epidemiología, Ministerio de Salud, Perú, Jr. Camilo-Carrillo 402</OrgName><OrgAddress><State>Jesus Maria-Lima 11</State><Country>Perú</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgDivision>Mathematical, Computational, and Modeling Sciences Center, P.O. Box 871904</OrgDivision><OrgName>Arizona State University</OrgName><OrgAddress><City>Tempe</City><State>AZ 85287</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgDivision>School of Human Evolution and Social Change</OrgDivision><OrgName>Arizona State University</OrgName><OrgAddress><City>Tempe</City><State>AZ 85287</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgDivision>Department of Mathematics and Statistics</OrgDivision><OrgName>Arizona State University</OrgName><OrgAddress><City>Tempe</City><State>AZ, 85287</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Santa Fe Institute</OrgName><OrgAddress><Street>1399 Hyde Park Road</Street><City>Santa Fe</City><State>NM 87501</State><Country>USA</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En" OutputMedium="All"><Heading>Abstract</Heading><Para TextBreak="No">Detailed studies on the spatial and temporal patterns of rubella transmission are scarce particularly in developing countries but could prove useful in improving epidemiological surveillance and intervention strategies such as vaccination. We use highly refined spatial, temporal and age-specific incidence data of Peru, a geographically diverse country, to quantify spatial-temporal patterns of incidence and transmissibility for rubella during the period 1997–2006. We estimate the basic reproduction number (<Emphasis Type="Italic">R</Emphasis><Subscript>0</Subscript>) based on the mean age at infection and the per capita birth rate of the population as well as the reproduction number (accounting for the fraction of the population effectively protected to infection) using the initial intrinsic growth rate of individual outbreaks and estimates of epidemiological parameters for rubella. A wavelet time series analysis is conducted to explore the periodicity of the rubella weekly time series, and the results of our analyses are compared to those carried out for time series of other childhood infectious diseases. We also identify the presence of a critical community size and quantify spatial heterogeneity across geographic regions through the use of Lorenz curves and their corresponding Gini indices. The underlying distributions of rubella outbreak attack rates and epidemic durations across Peru are characterized.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>Rubella</Keyword><Keyword>Peru</Keyword><Keyword>Epidemic</Keyword><Keyword>Periodicity</Keyword><Keyword>Reproduction number</Keyword><Keyword>Age at infection</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Book></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Spatial and Temporal Dynamics of Rubella in Peru, 1997–2006: Geographic Patterns, Age at Infection and Estimation of Transmissibility</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Spatial and Temporal Dynamics of Rubella in Peru, 1997–2006: Geographic Patterns, Age at Infection and Estimation of Transmissibility</title></titleInfo><name type="personal"><namePart type="given">Daniel</namePart><namePart type="family">Rios-Doria</namePart><affiliation>School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, USA</affiliation><affiliation>Mathematical, Computational, Modeling Sciences Center, Arizona State University, Tempe, AZ 85287, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Gerardo</namePart><namePart type="family">Chowell</namePart><affiliation>School of Human Evolution and Social Change, Arizona State University, Box 872402, Tempe, AZ 85287, USA</affiliation><affiliation>Mathematical, Computational, Modeling Sciences Center, Arizona State University, Tempe, AZ 85287, USA</affiliation><affiliation>Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Cesar</namePart><namePart type="family">Munayco-Escate</namePart><affiliation>Dirección General de Epidemiología, Ministerio de Salud, Perú, Jr. Camilo-Carrillo 402, Jesus Maria-Lima 11, Peru</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Alvaro</namePart><namePart type="family">Witthembury</namePart><affiliation>Dirección General de Epidemiología, Ministerio de Salud, Perú, Jr. Camilo-Carrillo 402, Jesus Maria-Lima 11, Perú</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Carlos</namePart><namePart type="family">Castillo-Chavez</namePart><affiliation>Mathematical, Computational, and Modeling Sciences Center, P.O. Box 871904, Arizona State University, Tempe, AZ 85287, USA</affiliation><affiliation>School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, USA</affiliation><affiliation>Department of Mathematics and Statistics, Arizona State University, Tempe, AZ, 85287, USA</affiliation><affiliation>Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA</affiliation><affiliation>E-mail: chavez@math.asu.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="termsOfAddress">Dr.</namePart><namePart type="given">Gerardo</namePart><namePart type="family">Chowell</namePart><affiliation>Arizona State University School of Human Evolution & Social Change, Tempe, AZ 85287-2402, USA</affiliation><affiliation>E-mail: gchowell@asu.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="termsOfAddress">Dr.</namePart><namePart type="given">James</namePart><namePart type="given">M.</namePart><namePart type="family">Hyman</namePart><affiliation>Los Alamos National Laboratory, Mail Stop B284, Los Alamos, NM 87545, USA</affiliation><affiliation>E-mail: mac@t7.lanl.gov</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="termsOfAddress">Dr.</namePart><namePart type="given">Luís</namePart><namePart type="given">M.</namePart><namePart type="given">A.</namePart><namePart type="family">Bettencourt</namePart><affiliation>Los Alamos National Laboratory, Mail Stop B284, Los Alamos, NM 87545, USA</affiliation><affiliation>E-mail: lmbett@lanl.gov</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Carlos</namePart><namePart type="family">Castillo-Chavez</namePart><affiliation>Dept. Mathematics & Statistics, Arizona State University, P.O.Box 871804, Tempe, AZ 85287, USA</affiliation><affiliation>E-mail: ccchavez@asu.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="chapter" displayLabel="chapter" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-CGT4WMJM-6"></genre><originInfo><publisher>Springer Netherlands</publisher><place><placeTerm type="text">Dordrecht</placeTerm></place><dateIssued encoding="w3cdtf">2009</dateIssued><copyrightDate encoding="w3cdtf">2009</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><abstract lang="en">Abstract: Detailed studies on the spatial and temporal patterns of rubella transmission are scarce particularly in developing countries but could prove useful in improving epidemiological surveillance and intervention strategies such as vaccination. We use highly refined spatial, temporal and age-specific incidence data of Peru, a geographically diverse country, to quantify spatial-temporal patterns of incidence and transmissibility for rubella during the period 1997–2006. We estimate the basic reproduction number (R 0) based on the mean age at infection and the per capita birth rate of the population as well as the reproduction number (accounting for the fraction of the population effectively protected to infection) using the initial intrinsic growth rate of individual outbreaks and estimates of epidemiological parameters for rubella. A wavelet time series analysis is conducted to explore the periodicity of the rubella weekly time series, and the results of our analyses are compared to those carried out for time series of other childhood infectious diseases. We also identify the presence of a critical community size and quantify spatial heterogeneity across geographic regions through the use of Lorenz curves and their corresponding Gini indices. The underlying distributions of rubella outbreak attack rates and epidemic durations across Peru are characterized.</abstract><subject lang="en"><genre>Keywords</genre><topic>Rubella</topic><topic>Peru</topic><topic>Epidemic</topic><topic>Periodicity</topic><topic>Reproduction number</topic><topic>Age at infection</topic></subject><relatedItem type="host"><titleInfo><title>Mathematical and Statistical Estimation Approaches in Epidemiology</title></titleInfo><name type="personal"><namePart type="termsOfAddress">Dr.</namePart><namePart type="given">Gerardo</namePart><namePart type="family">Chowell</namePart><affiliation>Arizona State University School of Human Evolution & Social Change, Tempe, AZ 85287-2402, USA</affiliation><affiliation>E-mail: gchowell@asu.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="termsOfAddress">Dr.</namePart><namePart type="given">James</namePart><namePart type="given">M.</namePart><namePart type="family">Hyman</namePart><affiliation>Los Alamos National Laboratory, Mail Stop B284, Los Alamos, NM 87545, USA</affiliation><affiliation>E-mail: mac@t7.lanl.gov</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="termsOfAddress">Dr.</namePart><namePart type="given">Luís</namePart><namePart type="given">M.</namePart><namePart type="given">A.</namePart><namePart type="family">Bettencourt</namePart><affiliation>Los Alamos National Laboratory, Mail Stop B284, Los Alamos, NM 87545, USA</affiliation><affiliation>E-mail: lmbett@lanl.gov</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Carlos</namePart><namePart type="family">Castillo-Chavez</namePart><affiliation>Dept. Mathematics & Statistics, Arizona State University, P.O.Box 871804, Tempe, AZ 85287, USA</affiliation><affiliation>E-mail: ccchavez@asu.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book" authority="ISTEX" authorityURI="https://publication-type.data.istex.fr" valueURI="https://publication-type.data.istex.fr/ark:/67375/JMC-5WTPMB5N-F">book</genre><originInfo><publisher>Springer</publisher><copyrightDate encoding="w3cdtf">2009</copyrightDate><issuance>monographic</issuance></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="SCM27004">Probability Theory and Stochastic Processes</topic><topic authority="SpringerSubjectCodes" authorityURI="SCB0000X">Biomedicine general</topic><topic authority="SpringerSubjectCodes" authorityURI="SCH33096">Infectious Diseases</topic><topic authority="SpringerSubjectCodes" authorityURI="SCS15007">Statistics for Life Sciences, Medicine, Health Sciences</topic><topic authority="SpringerSubjectCodes" authorityURI="SCH63000">Epidemiology</topic></subject><identifier type="DOI">10.1007/978-90-481-2313-1</identifier><identifier type="ISBN">978-90-481-2312-4</identifier><identifier type="eISBN">978-90-481-2313-1</identifier><identifier type="BookTitleID">157921</identifier><identifier type="BookID">978-90-481-2313-1</identifier><identifier type="BookChapterCount">14</identifier><part><date>2009</date><extent unit="pages"><start>325</start><end>341</end></extent></part><recordInfo><recordOrigin>Springer Netherlands, 2009</recordOrigin></recordInfo></relatedItem><identifier type="istex">14EB2C535C53C6615583E62AADAF4C9A4714BA7E</identifier><identifier type="ark">ark:/67375/HCB-QNTNSMFS-Z</identifier><identifier type="DOI">10.1007/978-90-481-2313-1_13</identifier><identifier type="ChapterID">13</identifier><identifier type="ChapterID">Chap13</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer Netherlands, 2009</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 B.V., 2009</recordOrigin></recordInfo></mods><json:item><extension>json</extension><original>false</original><mimetype>application/json</mimetype><uri>https://api.istex.fr/ark:/67375/HCB-QNTNSMFS-Z/record.json</uri></json:item></metadata><annexes><json:item><extension>txt</extension><original>true</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/ark:/67375/HCB-QNTNSMFS-Z/annexes.txt</uri></json:item></annexes><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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