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Transmission ofChlamydia trachomatisthrough sexual partnerships: a comparison between three individual-based models and empirical data
Author(s) -
Christian L. Althaus,
Katy Turner,
Boris V. Schmid,
Janneke C. M. Heijne,
Mirjam Kretzschmar,
Nicola Low
Publication year - 2011
Publication title -
journal of the royal society interface
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.655
H-Index - 139
eISSN - 1742-5689
pISSN - 1742-5662
DOI - 10.1098/rsif.2011.0131
Subject(s) - chlamydia trachomatis , psychological intervention , general partnership , chlamydia , population , transmission (telecommunications) , demography , sexually transmitted disease , gini coefficient , econometrics , medicine , environmental health , computer science , immunology , economics , inequality , telecommunications , mathematics , human immunodeficiency virus (hiv) , sociology , mathematical analysis , finance , syphilis , psychiatry , economic inequality
Chlamydia trachomatis is the most common bacterial sexually transmitted infection (STI) in many developed countries. The highest prevalence rates are found among young adults who have frequent partner change rates. Three published individual-based models have incorporated a detailed description of age-specific sexual behaviour in order to quantify the transmission of C. trachomatis in the population and to assess the impact of screening interventions. Owing to varying assumptions about sexual partnership formation and dissolution and the great uncertainty about critical parameters, such models show conflicting results about the impact of preventive interventions. Here, we perform a detailed evaluation of these models by comparing the partnership formation and dissolution dynamics with data from Natsal 2000, a population-based probability sample survey of sexual attitudes and lifestyles in Britain. The data also allow us to describe the dispersion of C. trachomatis infections as a function of sexual behaviour, using the Gini coefficient. We suggest that the Gini coefficient is a useful measure for calibrating infectious disease models that include risk structure and highlight the need to estimate this measure for other STIs.

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