Monogamous networks and the spread of sexually transmitted diseases Export

@article{citeulike:6068142, abstract = {Patterns of sexual mixing and heterogeneity in the number of sexual partners can have a huge effect on the spread of a sexually transmitted disease (STD). The sexual mixing network identifies all partnerships within a population over a given period and is a powerful tool in the study of such infections. Previous models assumed all links within the network to be concurrent active partnerships. We present a novel modelling approach in which we adapt the notion of a sexual contact network to a monogamous population by allowing the nature of the links to change. We use the underlying network to represent potential sexual partnerships, only some of which are active at any one time. Thus serial monogamy can be modelled while maintaining the patterns of mixing displayed by the population.}, author = {Eames, K. T. D. and Keeling, M. J.}, citeulike-article-id = {6068142}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.mbs.2004.02.003}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0025-5564(04)00072-0}, doi = {10.1016/j.mbs.2004.02.003}, issn = {00255564}, journal = {Mathematical Biosciences}, keywords = {concurrency, epidemiology, networks, random, sti}, month = {June}, number = {2}, pages = {115--130}, posted-at = {2009-11-04 14:18:56}, priority = {2}, title = {Monogamous networks and the spread of sexually transmitted diseases}, url = {http://dx.doi.org/10.1016/j.mbs.2004.02.003}, volume = {189}, year = {2004} }

TY - JOUR ID - citeulike:6068142 L3 - citeulike-article-id:6068142 N2 - Patterns of sexual mixing and heterogeneity in the number of sexual partners can have a huge effect on the spread of a sexually transmitted disease (STD). The sexual mixing network identifies all partnerships within a population over a given period and is a powerful tool in the study of such infections. Previous models assumed all links within the network to be concurrent active partnerships. We present a novel modelling approach in which we adapt the notion of a sexual contact network to a monogamous population by allowing the nature of the links to change. We use the underlying network to represent potential sexual partnerships, only some of which are active at any one time. Thus serial monogamy can be modelled while maintaining the patterns of mixing displayed by the population. IS - 2 JF - Mathematical Biosciences SN - 00255564 EP - 130 TI - Monogamous networks and the spread of sexually transmitted diseases VL - 189 SP - 115 KW - concurrency KW - epidemiology KW - networks KW - random KW - sti AU - Eames, KTD AU - Keeling, MJ PY - 2004/06// UR - http://dx.doi.org/10.1016/j.mbs.2004.02.003 ER -