About: Comparison of Contact Patterns Relevant for Transmission of Respiratory Pathogens in Thailand and the Netherlands Using Respondent-Driven Sampling

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About: Comparison of Contact Patterns Relevant for Transmission of Respiratory Pathogens in Thailand and the Netherlands Using Respondent-Driven Sampling Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Comparison of Contact Patterns Relevant for Transmission of Respiratory Pathogens in Thailand and the Netherlands Using Respondent-Driven Sampling
Creator	Lu, Xin Bengtsson, Linus Buskens, Vincent Thorson, Anna Stein, Mart Kretzschmar, Mirjam Tipayamongkholgul, Mathuros Chanyasanha, Charnchudhi Mccaw, James Van Steenbergen, Jim Van Der Heijden, Peter
Source	PMC
abstract	Understanding infection dynamics of respiratory diseases requires the identification and quantification of behavioural, social and environmental factors that permit the transmission of these infections between humans. Little empirical information is available about contact patterns within real-world social networks, let alone on differences in these contact networks between populations that differ considerably on a socio-cultural level. Here we compared contact network data that were collected in the Netherlands and Thailand using a similar online respondent-driven method. By asking participants to recruit contact persons we studied network links relevant for the transmission of respiratory infections. We studied correlations between recruiter and recruited contacts to investigate mixing patterns in the observed social network components. In both countries, mixing patterns were assortative by demographic variables and random by total numbers of contacts. However, in Thailand participants reported overall more contacts which resulted in higher effective contact rates. Our findings provide new insights on numbers of contacts and mixing patterns in two different populations. These data could be used to improve parameterisation of mathematical models used to design control strategies. Although the spread of infections through populations depends on more factors, found similarities suggest that spread may be similar in the Netherlands and Thailand.
has issue date	2014-11-25(xsd:dateTime)
bibo:doi	10.1371/journal.pone.0113711
bibo:pmid	25423343
has license	cc-by
sha1sum (hex)	a1a6c0067edf3605299df62d104c31661bbccaec
schema:url	https://doi.org/10.1371/journal.pone.0113711
resource representing a document's title	Comparison of Contact Patterns Relevant for Transmission of Respiratory Pathogens in Thailand and the Netherlands Using Respondent-Driven Sampling
has PubMed Central identifier	PMC4244136
has PubMed identifier	25423343
schema:publication	PLoS One
resource representing a document's body	covid:a1a6c0067edf3605299df62d104c31661bbccaec#body_text
is schema:about of	named entity 'THE NETHERLANDS' named entity 'participants' named entity 'contact' named entity 'permit' named entity 'recruiter' named entity 'contacts' named entity 'identification' named entity 'Here' named entity 'Transmission' named entity 'OBSERVED' named entity 'ASKING' named entity 'COULD BE' named entity 'INFECTION' named entity 'DEMOGRAPHIC' named entity 'CONTACT' named entity 'OVERALL' named entity 'FINDINGS' named entity 'MIXING' named entity 'RATES' named entity 'VARIABLES' named entity 'CONTROL' named entity 'DRIVEN' named entity 'TO INVESTIGATE' named entity 'HIGHER' named entity 'CONTACTS' named entity 'SOCIAL NETWORKS' named entity 'SOCIAL NETWORK' named entity 'POPULATIONS' named entity 'NEW' named entity 'USING' named entity 'REAL' named entity 'PERMIT' named entity 'ABOUT' named entity 'WORLD' named entity 'RESPIRATORY DISEASES' named entity 'COLLECTED' named entity 'SOCIAL' named entity 'PERSONS' named entity 'RANDOM' named entity 'THAILAND' named entity 'ENVIRONMENTAL FACTORS' named entity 'USED' named entity 'INFORMATION' named entity 'REPORTED' named entity 'PARTICIPANTS' named entity 'BEHAVIOURAL' named entity 'QUANTIFICATION' named entity 'LET' named entity 'LEVEL' named entity 'RESPONDENT' named entity 'OUR' named entity 'CORRELATIONS' named entity 'ONLINE' named entity 'EFFECTIVE' covid:arg/a1a6c0067edf3605299df62d104c31661bbccaec named entity 'RESPONDENT' named entity 'THESE' named entity 'DATA' named entity 'COMPARISON' named entity 'USING' named entity 'SAMPLING' named entity 'RELEVANT' named entity 'PATTERNS' named entity 'THAILAND' named entity 'TRANSMISSION' named entity 'DRIVEN' named entity 'CONTACT' named entity 'DESIGN' named entity 'PATTERNS' named entity 'RESPIRATORY INFECTIONS' named entity 'MATHEMATICAL MODELS'

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