Optimising partner matching for microsimulations of the HIV epidemic

dc.contributor.authorNathan, Geffen
dc.date.accessioned2016-08-25T13:10:59Z
dc.date.available2016-08-25T13:10:59Z
dc.date.issued2015
dc.date.updated2016-08-25T13:09:19Z
dc.description.abstractMicrosimulation is a way of modelling epidemics that is growing in popularity. Instead of the traditional way of building a model consisting of differential equations and then solving them, a microsimulation consists of, perhaps, thousands of agents, each representing a person, and each behaving according to a simple set of rules. Instead of outputs like infection and mortality rates being derived from equations, they are derived from the interactions of the agents over many iterations.en_ZA
dc.identifier.apacitationNathan, G. (2015). <i>Optimising partner matching for microsimulations of the HIV epidemic</i> University of Cape Town. Retrieved from http://hdl.handle.net/11427/21552en_ZA
dc.identifier.chicagocitationNathan, Geffen <i>Optimising partner matching for microsimulations of the HIV epidemic.</i> University of Cape Town, 2015. http://hdl.handle.net/11427/21552en_ZA
dc.identifier.citationNathan, G. 2015. Optimising partner matching for microsimulations of the HIV epidemicen_ZA
dc.identifier.ris TY - Working Paper AU - Nathan, Geffen AB - Microsimulation is a way of modelling epidemics that is growing in popularity. Instead of the traditional way of building a model consisting of differential equations and then solving them, a microsimulation consists of, perhaps, thousands of agents, each representing a person, and each behaving according to a simple set of rules. Instead of outputs like infection and mortality rates being derived from equations, they are derived from the interactions of the agents over many iterations. DA - 2015 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2015 T1 - Optimising partner matching for microsimulations of the HIV epidemic TI - Optimising partner matching for microsimulations of the HIV epidemic UR - http://hdl.handle.net/11427/21552 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/21552
dc.identifier.urihttp://nathangeffen.webfactional.com/partnermatching/partnermatching.html
dc.identifier.vancouvercitationNathan G. Optimising partner matching for microsimulations of the HIV epidemic. 2015 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/21552en_ZA
dc.languageengen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherHIV epidemic
dc.subject.othermicrosimulations
dc.titleOptimising partner matching for microsimulations of the HIV epidemicen_ZA
dc.typeWorking Paperen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceDiscussion paperen_ZA
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