Optimising partner matching for microsimulations of the HIV epidemic
| dc.contributor.author | Nathan, Geffen | |
| dc.date.accessioned | 2016-08-25T13:10:59Z | |
| dc.date.available | 2016-08-25T13:10:59Z | |
| dc.date.issued | 2015 | |
| dc.date.updated | 2016-08-25T13:09:19Z | |
| dc.description.abstract | 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. | en_ZA |
| dc.identifier.apacitation | Nathan, G. (2015). <i>Optimising partner matching for microsimulations of the HIV epidemic</i> University of Cape Town. Retrieved from http://hdl.handle.net/11427/21552 | en_ZA |
| dc.identifier.chicagocitation | Nathan, Geffen <i>Optimising partner matching for microsimulations of the HIV epidemic.</i> University of Cape Town, 2015. http://hdl.handle.net/11427/21552 | en_ZA |
| dc.identifier.citation | Nathan, G. 2015. Optimising partner matching for microsimulations of the HIV epidemic | en_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.uri | http://hdl.handle.net/11427/21552 | |
| dc.identifier.uri | http://nathangeffen.webfactional.com/partnermatching/partnermatching.html | |
| dc.identifier.vancouvercitation | Nathan G. Optimising partner matching for microsimulations of the HIV epidemic. 2015 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/21552 | en_ZA |
| dc.language | eng | en_ZA |
| dc.publisher.institution | University of Cape Town | |
| dc.subject.other | HIV epidemic | |
| dc.subject.other | microsimulations | |
| dc.title | Optimising partner matching for microsimulations of the HIV epidemic | en_ZA |
| dc.type | Working Paper | en_ZA |
| uct.type.filetype | Text | |
| uct.type.filetype | Image | |
| uct.type.publication | Research | en_ZA |
| uct.type.resource | Discussion paper | en_ZA |
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