Tracking social contact networks with online respondent-driven detection: who recruits whom?
Identifieur interne : 000025 ( Main/Exploration ); précédent : 000024; suivant : 000026Tracking social contact networks with online respondent-driven detection: who recruits whom?
Auteurs : Mart L. Stein [Pays-Bas] ; Peter G M. Van Der Heijden [Pays-Bas, Royaume-Uni] ; Vincent Buskens [Pays-Bas] ; Jim E. Van Steenbergen [Pays-Bas] ; Linus Bengtsson [Suède] ; Carl E. Koppeschaar [Pays-Bas] ; Anna Thorson [Suède] ; Mirjam E E. Kretzschmar [Pays-Bas]Source :
- BMC infectious diseases [ 1471-2334 ] ; 2015.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Autorapport, Belgique, Comportement social, Enfant, Enfant d'âge préscolaire, Enquêtes et questionnaires, Facteurs socioéconomiques, Femelle, Flambées de maladies, Grippe humaine (épidémiologie), Grippe humaine (étiologie), Humains, Internet, Jeune adulte, Mâle, Nourrisson, Pays-Bas, Sujet âgé.
- MESH :
- épidémiologie : Grippe humaine.
- étiologie : Grippe humaine.
- Adolescent, Adulte, Adulte d'âge moyen, Autorapport, Belgique, Comportement social, Enfant, Enfant d'âge préscolaire, Enquêtes et questionnaires, Facteurs socioéconomiques, Femelle, Flambées de maladies, Humains, Internet, Jeune adulte, Mâle, Nourrisson, Pays-Bas, Sujet âgé.
English descriptors
- KwdEn :
- MESH :
- epidemiology : Influenza, Human.
- etiology : Influenza, Human.
- Adolescent, Adult, Aged, Belgium, Child, Child, Preschool, Disease Outbreaks, Female, Humans, Infant, Internet, Male, Middle Aged, Netherlands, Self Report, Social Behavior, Socioeconomic Factors, Surveys and Questionnaires, Young Adult.
Abstract
BACKGROUND
Transmission of respiratory pathogens in a population depends on the contact network patterns of individuals. To accurately understand and explain epidemic behaviour information on contact networks is required, but only limited empirical data is available. Online respondent-driven detection can provide relevant epidemiological data on numbers of contact persons and dynamics of contacts between pairs of individuals. We aimed to analyse contact networks with respect to sociodemographic and geographical characteristics, vaccine-induced immunity and self-reported symptoms.
METHODS
In 2014, volunteers from two large participatory surveillance panels in the Netherlands and Belgium were invited for a survey. Participants were asked to record numbers of contacts at different locations and self-reported influenza-like-illness symptoms, and to invite 4 individuals they had met face to face in the preceding 2 weeks. We calculated correlations between linked individuals to investigate mixing patterns.
RESULTS
In total 1560 individuals completed the survey who reported in total 30591 contact persons; 488 recruiter-recruit pairs were analysed. Recruitment was assortative by age, education, household size, influenza vaccination status and sentiments, indicating that participants tended to recruit contact persons similar to themselves. We also found assortative recruitment by symptoms, reaffirming our objective of sampling contact persons whom a participant may infect or by whom a participant may get infected in case of an outbreak. Recruitment was random by sex and numbers of contact persons. Relationships between pairs were influenced by the spatial distribution of peer recruitment.
CONCLUSIONS
Although complex mechanisms influence online peer recruitment, the observed statistical relationships reflected the observed contact network patterns in the general population relevant for the transmission of respiratory pathogens. This provides useful and innovative input for predictive epidemic models relying on network information.
DOI: 10.1186/s12879-015-1250-z
PubMed: 26573658
Affiliations:
- Pays-Bas, Royaume-Uni, Suède
- Hollande-Méridionale, Hollande-Septentrionale, Svealand, Utrecht (province)
- Amsterdam, Leyde, Stockholm, Utrecht
Links toward previous steps (curation, corpus...)
Le document en format XML
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Stein</name><affiliation wicri:level="3"><nlm:affiliation>Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands. M.L.Stein-2@umcutrecht.nl.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht</wicri:regionArea><placeName><settlement type="city">Utrecht</settlement><region nuts="2" type="province">Utrecht (province)</region></placeName></affiliation><affiliation wicri:level="1"><nlm:affiliation>Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands. M.L.Stein-2@umcutrecht.nl.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven</wicri:regionArea><wicri:noRegion>Bilthoven</wicri:noRegion></affiliation></author><author><name sortKey="Van Der Heijden, Peter G M" sort="Van Der Heijden, Peter G M" uniqKey="Van Der Heijden P" first="Peter G M" last="Van Der Heijden">Peter G M. Van Der Heijden</name><affiliation wicri:level="3"><nlm:affiliation>Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, University Utrecht, Utrecht, The Netherlands. P.G.M.vanderHeijden@uu.nl.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, University Utrecht, Utrecht</wicri:regionArea><placeName><settlement type="city">Utrecht</settlement><region nuts="2" type="province">Utrecht (province)</region></placeName></affiliation><affiliation wicri:level="1"><nlm:affiliation>Southampton Statistical Sciences Research Institute, University of Southampton, Southampton, UK. P.G.M.vanderHeijden@uu.nl.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Southampton Statistical Sciences Research Institute, University of Southampton, Southampton</wicri:regionArea><wicri:noRegion>Southampton</wicri:noRegion></affiliation></author><author><name sortKey="Buskens, Vincent" sort="Buskens, Vincent" uniqKey="Buskens V" first="Vincent" last="Buskens">Vincent Buskens</name><affiliation wicri:level="3"><nlm:affiliation>Department of Sociology, Faculty of Social and Behavioural Sciences, University Utrecht, Utrecht, The Netherlands. V.Buskens@uu.nl.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Sociology, Faculty of Social and Behavioural Sciences, University Utrecht, Utrecht</wicri:regionArea><placeName><settlement type="city">Utrecht</settlement><region nuts="2" type="province">Utrecht (province)</region></placeName></affiliation></author><author><name sortKey="Van Steenbergen, Jim E" sort="Van Steenbergen, Jim E" uniqKey="Van Steenbergen J" first="Jim E" last="Van Steenbergen">Jim E. Van Steenbergen</name><affiliation wicri:level="1"><nlm:affiliation>Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands. Jim.van.Steenbergen@rivm.nl.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven</wicri:regionArea><wicri:noRegion>Bilthoven</wicri:noRegion></affiliation><affiliation wicri:level="3"><nlm:affiliation>Centre of Infectious Diseases, Leiden University Medical Centre, Leiden, The Netherlands. Jim.van.Steenbergen@rivm.nl.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Centre of Infectious Diseases, Leiden University Medical Centre, Leiden</wicri:regionArea><placeName><settlement type="city">Leyde</settlement><region nuts="2" type="province">Hollande-Méridionale</region></placeName></affiliation></author><author><name sortKey="Bengtsson, Linus" sort="Bengtsson, Linus" uniqKey="Bengtsson L" first="Linus" last="Bengtsson">Linus Bengtsson</name><affiliation wicri:level="3"><nlm:affiliation>Department of Public Health Sciences-Global Health, Karolinska Institutet, Stockholm, Sweden. Linus.Bengtsson@ki.se.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Department of Public Health Sciences-Global Health, Karolinska Institutet, Stockholm</wicri:regionArea><placeName><settlement type="city">Stockholm</settlement><region nuts="2">Svealand</region></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Flowminder Foundation, Stockholm, Sweden. Linus.Bengtsson@ki.se.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Flowminder Foundation, Stockholm</wicri:regionArea><placeName><settlement type="city">Stockholm</settlement><region nuts="2">Svealand</region></placeName></affiliation></author><author><name sortKey="Koppeschaar, Carl E" sort="Koppeschaar, Carl E" uniqKey="Koppeschaar C" first="Carl E" last="Koppeschaar">Carl E. Koppeschaar</name><affiliation wicri:level="3"><nlm:affiliation>Science in Action BV, Amsterdam, The Netherlands. Carl@science-in-action.nl.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Science in Action BV, Amsterdam</wicri:regionArea><placeName><settlement type="city">Amsterdam</settlement><region nuts="2" type="province">Hollande-Septentrionale</region></placeName></affiliation></author><author><name sortKey="Thorson, Anna" sort="Thorson, Anna" uniqKey="Thorson A" first="Anna" last="Thorson">Anna Thorson</name><affiliation wicri:level="3"><nlm:affiliation>Department of Public Health Sciences-Global Health, Karolinska Institutet, Stockholm, Sweden. Anna.Thorson@ki.se.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Department of Public Health Sciences-Global Health, Karolinska Institutet, Stockholm</wicri:regionArea><placeName><settlement type="city">Stockholm</settlement><region nuts="2">Svealand</region></placeName></affiliation></author><author><name sortKey="Kretzschmar, Mirjam E E" sort="Kretzschmar, Mirjam E E" uniqKey="Kretzschmar M" first="Mirjam E E" last="Kretzschmar">Mirjam E E. Kretzschmar</name><affiliation wicri:level="3"><nlm:affiliation>Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands. M.E.E.Kretzschmar@umcutrecht.nl.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht</wicri:regionArea><placeName><settlement type="city">Utrecht</settlement><region nuts="2" type="province">Utrecht (province)</region></placeName></affiliation><affiliation wicri:level="1"><nlm:affiliation>Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands. M.E.E.Kretzschmar@umcutrecht.nl.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven</wicri:regionArea><wicri:noRegion>Bilthoven</wicri:noRegion></affiliation></author></analytic><series><title level="j">BMC infectious diseases</title><idno type="eISSN">1471-2334</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Belgium</term><term>Child</term><term>Child, Preschool</term><term>Disease Outbreaks</term><term>Female</term><term>Humans</term><term>Infant</term><term>Influenza, Human (epidemiology)</term><term>Influenza, Human (etiology)</term><term>Internet</term><term>Male</term><term>Middle Aged</term><term>Netherlands</term><term>Self Report</term><term>Social Behavior</term><term>Socioeconomic Factors</term><term>Surveys and Questionnaires</term><term>Young Adult</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Autorapport</term><term>Belgique</term><term>Comportement social</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Enquêtes et questionnaires</term><term>Facteurs socioéconomiques</term><term>Femelle</term><term>Flambées de maladies</term><term>Grippe humaine (épidémiologie)</term><term>Grippe humaine (étiologie)</term><term>Humains</term><term>Internet</term><term>Jeune adulte</term><term>Mâle</term><term>Nourrisson</term><term>Pays-Bas</term><term>Sujet âgé</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Grippe humaine</term></keywords><keywords scheme="MESH" qualifier="étiologie" xml:lang="fr"><term>Grippe humaine</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Belgium</term><term>Child</term><term>Child, Preschool</term><term>Disease Outbreaks</term><term>Female</term><term>Humans</term><term>Infant</term><term>Internet</term><term>Male</term><term>Middle Aged</term><term>Netherlands</term><term>Self Report</term><term>Social Behavior</term><term>Socioeconomic Factors</term><term>Surveys and Questionnaires</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Autorapport</term><term>Belgique</term><term>Comportement social</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Enquêtes et questionnaires</term><term>Facteurs socioéconomiques</term><term>Femelle</term><term>Flambées de maladies</term><term>Humains</term><term>Internet</term><term>Jeune adulte</term><term>Mâle</term><term>Nourrisson</term><term>Pays-Bas</term><term>Sujet âgé</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Transmission of respiratory pathogens in a population depends on the contact network patterns of individuals. To accurately understand and explain epidemic behaviour information on contact networks is required, but only limited empirical data is available. Online respondent-driven detection can provide relevant epidemiological data on numbers of contact persons and dynamics of contacts between pairs of individuals. We aimed to analyse contact networks with respect to sociodemographic and geographical characteristics, vaccine-induced immunity and self-reported symptoms.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>In 2014, volunteers from two large participatory surveillance panels in the Netherlands and Belgium were invited for a survey. Participants were asked to record numbers of contacts at different locations and self-reported influenza-like-illness symptoms, and to invite 4 individuals they had met face to face in the preceding 2 weeks. We calculated correlations between linked individuals to investigate mixing patterns.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>In total 1560 individuals completed the survey who reported in total 30591 contact persons; 488 recruiter-recruit pairs were analysed. Recruitment was assortative by age, education, household size, influenza vaccination status and sentiments, indicating that participants tended to recruit contact persons similar to themselves. We also found assortative recruitment by symptoms, reaffirming our objective of sampling contact persons whom a participant may infect or by whom a participant may get infected in case of an outbreak. Recruitment was random by sex and numbers of contact persons. Relationships between pairs were influenced by the spatial distribution of peer recruitment.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>Although complex mechanisms influence online peer recruitment, the observed statistical relationships reflected the observed contact network patterns in the general population relevant for the transmission of respiratory pathogens. This provides useful and innovative input for predictive epidemic models relying on network information.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">26573658</PMID><DateCompleted><Year>2016</Year><Month>06</Month><Day>23</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>02</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2334</ISSN><JournalIssue CitedMedium="Internet"><Volume>15</Volume><PubDate><Year>2015</Year><Month>Nov</Month><Day>14</Day></PubDate></JournalIssue><Title>BMC infectious diseases</Title><ISOAbbreviation>BMC Infect. Dis.</ISOAbbreviation></Journal><ArticleTitle>Tracking social contact networks with online respondent-driven detection: who recruits whom?</ArticleTitle><Pagination><MedlinePgn>522</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/s12879-015-1250-z</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Transmission of respiratory pathogens in a population depends on the contact network patterns of individuals. To accurately understand and explain epidemic behaviour information on contact networks is required, but only limited empirical data is available. Online respondent-driven detection can provide relevant epidemiological data on numbers of contact persons and dynamics of contacts between pairs of individuals. We aimed to analyse contact networks with respect to sociodemographic and geographical characteristics, vaccine-induced immunity and self-reported symptoms.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">In 2014, volunteers from two large participatory surveillance panels in the Netherlands and Belgium were invited for a survey. Participants were asked to record numbers of contacts at different locations and self-reported influenza-like-illness symptoms, and to invite 4 individuals they had met face to face in the preceding 2 weeks. We calculated correlations between linked individuals to investigate mixing patterns.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">In total 1560 individuals completed the survey who reported in total 30591 contact persons; 488 recruiter-recruit pairs were analysed. Recruitment was assortative by age, education, household size, influenza vaccination status and sentiments, indicating that participants tended to recruit contact persons similar to themselves. We also found assortative recruitment by symptoms, reaffirming our objective of sampling contact persons whom a participant may infect or by whom a participant may get infected in case of an outbreak. Recruitment was random by sex and numbers of contact persons. Relationships between pairs were influenced by the spatial distribution of peer recruitment.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Although complex mechanisms influence online peer recruitment, the observed statistical relationships reflected the observed contact network patterns in the general population relevant for the transmission of respiratory pathogens. This provides useful and innovative input for predictive epidemic models relying on network information.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Stein</LastName><ForeName>Mart L</ForeName><Initials>ML</Initials><AffiliationInfo><Affiliation>Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands. M.L.Stein-2@umcutrecht.nl.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands. M.L.Stein-2@umcutrecht.nl.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>van der Heijden</LastName><ForeName>Peter G M</ForeName><Initials>PG</Initials><AffiliationInfo><Affiliation>Department of Methodology and Statistics, Faculty of Social and Behavioural Sciences, University Utrecht, Utrecht, The Netherlands. P.G.M.vanderHeijden@uu.nl.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Southampton Statistical Sciences Research Institute, University of Southampton, Southampton, UK. P.G.M.vanderHeijden@uu.nl.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Buskens</LastName><ForeName>Vincent</ForeName><Initials>V</Initials><AffiliationInfo><Affiliation>Department of Sociology, Faculty of Social and Behavioural Sciences, University Utrecht, Utrecht, The Netherlands. V.Buskens@uu.nl.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>van Steenbergen</LastName><ForeName>Jim E</ForeName><Initials>JE</Initials><AffiliationInfo><Affiliation>Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands. Jim.van.Steenbergen@rivm.nl.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Centre of Infectious Diseases, Leiden University Medical Centre, Leiden, The Netherlands. Jim.van.Steenbergen@rivm.nl.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bengtsson</LastName><ForeName>Linus</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Department of Public Health Sciences-Global Health, Karolinska Institutet, Stockholm, Sweden. Linus.Bengtsson@ki.se.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Flowminder Foundation, Stockholm, Sweden. Linus.Bengtsson@ki.se.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Koppeschaar</LastName><ForeName>Carl E</ForeName><Initials>CE</Initials><AffiliationInfo><Affiliation>Science in Action BV, Amsterdam, The Netherlands. Carl@science-in-action.nl.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Thorson</LastName><ForeName>Anna</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Public Health Sciences-Global Health, Karolinska Institutet, Stockholm, Sweden. Anna.Thorson@ki.se.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kretzschmar</LastName><ForeName>Mirjam E E</ForeName><Initials>ME</Initials><AffiliationInfo><Affiliation>Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands. M.E.E.Kretzschmar@umcutrecht.nl.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands. M.E.E.Kretzschmar@umcutrecht.nl.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>11</Month><Day>14</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Infect Dis</MedlineTA><NlmUniqueID>100968551</NlmUniqueID><ISSNLinking>1471-2334</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001530" 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