A network modelling approach for assessing the efficiency of prevention strategies

Bibliographic Data

ID10142446
AuthorsMirjam Kretzschmar (0000-0002-4394-7697, National Institute of Public Health, corresponding author), Johannes C Jager, Dick P Reinking, Gertjan Van Zessen, H Bart Brouwers (0000-0001-7044-8394, Netherlands Institute for Social Research), Henk Brouwers
Year1995
Volume20
Issue4
Pages351-374
Publication date1995-11-01
Open AccessNo
TypeARTICLE
VenueJournal of Mathematical Sociology (JOURNAL)
Journal identifiersISSN: 0022-250X • E-ISSN: 1545-5874
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/0022250x.1995.9990169
OpenAlexW1972395506
LanguageEN
Citations received2
References cited16

Survey data and a simulation model based on a stochastic pair formation process are used to construct networks of sexual contacts. We model heterosexual partnerships which can be steady or casual depending on their average duration. Transmission of an infectious disease can take place in pairs of a susceptible and an infected individual. We study networks of sexual contacts accumulated during 1 year for different types of mixing patterns. The networks are constructed on the basis of data from a survey in The Netherlands. We analyze the network structure for different mixing patterns and investigate the relationship between network structure and disease spread; furthermore we study the effect of prevention measures on the structure of the network. Notes Author to whom correspondence should be sent

Casual · Computer network · Construct (python library · Data mining · Duration (music · Econometrics · Mixing (physics · Network model · Network structure · Physics · Telecommunications · Transmission (telecommunications · Adolescent Sexual and Reproductive Health · Computer Science · COVID-19 epidemiological studies · Mathematical and Theoretical Epidemiology and Ecology Models · Mathematics · Theoretical Computer Science

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