Pair formation models for sexually transmitted infections: A primer
For modelling sexually transmitted infections, duration of partnerships can strongly influence the transmission dynamics of the infection. If partnerships are monogamous, pairs of susceptible individuals are protected from becoming infected, while pairs of infected individuals delay onward transmiss...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2017-08-01
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| Series: | Infectious Disease Modelling |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468042717300106 |
| _version_ | 1827279220098727936 |
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| author | Mirjam Kretzschmar Janneke C.M. Heijne |
| author_facet | Mirjam Kretzschmar Janneke C.M. Heijne |
| author_sort | Mirjam Kretzschmar |
| collection | DOAJ |
| description | For modelling sexually transmitted infections, duration of partnerships can strongly influence the transmission dynamics of the infection. If partnerships are monogamous, pairs of susceptible individuals are protected from becoming infected, while pairs of infected individuals delay onward transmission of the infection as long as they persist. In addition, for curable infections re-infection from an infected partner may occur. Furthermore, interventions based on contact tracing rely on the possibility of identifying and treating partners of infected individuals. To reflect these features in a mathematical model, pair formation models were introduced to mathematical epidemiology in the 1980's. They have since been developed into a widely used tool in modelling sexually transmitted infections and the impact of interventions. Here we give a basic introduction to the concepts of pair formation models for a susceptible-infected-susceptible (SIS) epidemic. We review some results and applications of pair formation models mainly in the context of chlamydia infection. Keywords: Pair formation, Mathematical model, Partnership duration, Sexually transmitted infections, Basic reproduction number |
| first_indexed | 2024-04-24T08:15:48Z |
| format | Article |
| id | doaj.art-29bc6f80a93b4c98b3e4f4c59b500fb1 |
| institution | Directory Open Access Journal |
| issn | 2468-0427 |
| language | English |
| last_indexed | 2024-04-24T08:15:48Z |
| publishDate | 2017-08-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Infectious Disease Modelling |
| spelling | doaj.art-29bc6f80a93b4c98b3e4f4c59b500fb12024-04-17T03:54:51ZengKeAi Communications Co., Ltd.Infectious Disease Modelling2468-04272017-08-0123368378Pair formation models for sexually transmitted infections: A primerMirjam Kretzschmar0Janneke C.M. Heijne1Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands; Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands; Corresponding author. Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands.Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The NetherlandsFor modelling sexually transmitted infections, duration of partnerships can strongly influence the transmission dynamics of the infection. If partnerships are monogamous, pairs of susceptible individuals are protected from becoming infected, while pairs of infected individuals delay onward transmission of the infection as long as they persist. In addition, for curable infections re-infection from an infected partner may occur. Furthermore, interventions based on contact tracing rely on the possibility of identifying and treating partners of infected individuals. To reflect these features in a mathematical model, pair formation models were introduced to mathematical epidemiology in the 1980's. They have since been developed into a widely used tool in modelling sexually transmitted infections and the impact of interventions. Here we give a basic introduction to the concepts of pair formation models for a susceptible-infected-susceptible (SIS) epidemic. We review some results and applications of pair formation models mainly in the context of chlamydia infection. Keywords: Pair formation, Mathematical model, Partnership duration, Sexually transmitted infections, Basic reproduction numberhttp://www.sciencedirect.com/science/article/pii/S2468042717300106 |
| spellingShingle | Mirjam Kretzschmar Janneke C.M. Heijne Pair formation models for sexually transmitted infections: A primer Infectious Disease Modelling |
| title | Pair formation models for sexually transmitted infections: A primer |
| title_full | Pair formation models for sexually transmitted infections: A primer |
| title_fullStr | Pair formation models for sexually transmitted infections: A primer |
| title_full_unstemmed | Pair formation models for sexually transmitted infections: A primer |
| title_short | Pair formation models for sexually transmitted infections: A primer |
| title_sort | pair formation models for sexually transmitted infections a primer |
| url | http://www.sciencedirect.com/science/article/pii/S2468042717300106 |
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