Computational approaches of modelling human papillomavirus transmission and prevention strategies: a systematic review
Human papillomavirus (HPV) infection is the most common sexually transmitted infection in the world. Persistent oncogenic HPV infection has been a leading threat to global health and can lead to serious complications such as cervical cancer. Prevention interventions including vaccination and screeni...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Journal of Biological Dynamics |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/17513758.2024.2436376 |
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| author | Weiyi Wang Shailendra Sawleshwarkar Mahendra Piraveenan |
| author_facet | Weiyi Wang Shailendra Sawleshwarkar Mahendra Piraveenan |
| author_sort | Weiyi Wang |
| collection | DOAJ |
| description | Human papillomavirus (HPV) infection is the most common sexually transmitted infection in the world. Persistent oncogenic HPV infection has been a leading threat to global health and can lead to serious complications such as cervical cancer. Prevention interventions including vaccination and screening have been proven effective in reducing the risk of HPV-related diseases. In recent decades, computational epidemiology has been serving as a very useful tool to study HPV transmission dynamics and evaluation of prevention strategies. In this paper, we conduct a comprehensive literature review on state-of-the-art computational epidemic models for HPV disease dynamics, transmission dynamics, as well as prevention efforts. Selecting 45 most-relevant papers from an initial pool of 10,497 papers identified through keyword search, we classify them based on models used and prevention strategies employed, summarize current research trends, identify gaps in the present literature, and identify future research directions. In particular, we describe current consensus regarding optimal prevention strategies which favour prioritizing teenage girls for vaccination. We also note that optimal prevention strategies depend on the resources available in each country, with hybrid vaccination and screening being the most fruitful for developed countries, and screening-only approaches being most cost effective for low and middle income countries. We also highlight that in future, the use of computational and operations research tools such as game theory and linear programming, coupled with the large scale use of census and geographic information systems data, will greatly aid in the modelling, analysis and prevention of HPV. |
| format | Article |
| id | doaj-art-e773905aafe54c3aa6801bb6fcb0da80 |
| institution | DOAJ |
| issn | 1751-3758 1751-3766 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Biological Dynamics |
| spelling | doaj-art-e773905aafe54c3aa6801bb6fcb0da802025-08-20T02:46:44ZengTaylor & Francis GroupJournal of Biological Dynamics1751-37581751-37662025-12-0119110.1080/17513758.2024.2436376Computational approaches of modelling human papillomavirus transmission and prevention strategies: a systematic reviewWeiyi Wang0Shailendra Sawleshwarkar1Mahendra Piraveenan2Modelling and Simulation Research Group, School of Computer Science, Faculty of Engineering, The University of Sydney, Sydney, NSW, AustraliaSydney Medical School, Faculty of Medicine, The University of Sydney, Sydney, NSW, AustraliaModelling and Simulation Research Group, School of Computer Science, Faculty of Engineering, The University of Sydney, Sydney, NSW, AustraliaHuman papillomavirus (HPV) infection is the most common sexually transmitted infection in the world. Persistent oncogenic HPV infection has been a leading threat to global health and can lead to serious complications such as cervical cancer. Prevention interventions including vaccination and screening have been proven effective in reducing the risk of HPV-related diseases. In recent decades, computational epidemiology has been serving as a very useful tool to study HPV transmission dynamics and evaluation of prevention strategies. In this paper, we conduct a comprehensive literature review on state-of-the-art computational epidemic models for HPV disease dynamics, transmission dynamics, as well as prevention efforts. Selecting 45 most-relevant papers from an initial pool of 10,497 papers identified through keyword search, we classify them based on models used and prevention strategies employed, summarize current research trends, identify gaps in the present literature, and identify future research directions. In particular, we describe current consensus regarding optimal prevention strategies which favour prioritizing teenage girls for vaccination. We also note that optimal prevention strategies depend on the resources available in each country, with hybrid vaccination and screening being the most fruitful for developed countries, and screening-only approaches being most cost effective for low and middle income countries. We also highlight that in future, the use of computational and operations research tools such as game theory and linear programming, coupled with the large scale use of census and geographic information systems data, will greatly aid in the modelling, analysis and prevention of HPV.https://www.tandfonline.com/doi/10.1080/17513758.2024.2436376Computational epidemiologyhuman papillomavirusmodelling and simulation05C8235R9968Q06 |
| spellingShingle | Weiyi Wang Shailendra Sawleshwarkar Mahendra Piraveenan Computational approaches of modelling human papillomavirus transmission and prevention strategies: a systematic review Journal of Biological Dynamics Computational epidemiology human papillomavirus modelling and simulation 05C82 35R99 68Q06 |
| title | Computational approaches of modelling human papillomavirus transmission and prevention strategies: a systematic review |
| title_full | Computational approaches of modelling human papillomavirus transmission and prevention strategies: a systematic review |
| title_fullStr | Computational approaches of modelling human papillomavirus transmission and prevention strategies: a systematic review |
| title_full_unstemmed | Computational approaches of modelling human papillomavirus transmission and prevention strategies: a systematic review |
| title_short | Computational approaches of modelling human papillomavirus transmission and prevention strategies: a systematic review |
| title_sort | computational approaches of modelling human papillomavirus transmission and prevention strategies a systematic review |
| topic | Computational epidemiology human papillomavirus modelling and simulation 05C82 35R99 68Q06 |
| url | https://www.tandfonline.com/doi/10.1080/17513758.2024.2436376 |
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