On the Elimination of Infections Related to Oncogenic Human Papillomavirus: An Approach Using a Computational Network Model
Cervical cancer is the fourth most common malignancy in women worldwide, although it is preventable with prophylactic HPV vaccination. HPV transmission-dynamic models can predict the potential for the global elimination of cervical cancer. The random network model is a new approach that allows indiv...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Viruses |
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| Online Access: | https://www.mdpi.com/1999-4915/13/5/906 |
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| author | Cintia Muñoz-Quiles Javier Díez-Domingo Luis Acedo Víctor Sánchez-Alonso Rafael J. Villanueva |
| author_facet | Cintia Muñoz-Quiles Javier Díez-Domingo Luis Acedo Víctor Sánchez-Alonso Rafael J. Villanueva |
| author_sort | Cintia Muñoz-Quiles |
| collection | DOAJ |
| description | Cervical cancer is the fourth most common malignancy in women worldwide, although it is preventable with prophylactic HPV vaccination. HPV transmission-dynamic models can predict the potential for the global elimination of cervical cancer. The random network model is a new approach that allows individuals to be followed, and to implement a given vaccination policy according to their clinical records. We developed an HPV transmission-dynamic model on a lifetime sexual partners network based on individual contacts, also accounting for the sexual behavior of men who have sex with men (MSM). We analyzed the decline in the prevalence of HPV infection in a scenario of 75% and 90% coverage for both sexes. An important herd immunity effect for men and women was observed in the heterosexual network, even with 75% coverage. However, HPV infections are persistent in the MSM population, with sustained circulation of the virus among unvaccinated individuals. Coverage around 75% of both sexes would be necessary to eliminate HPV-related conditions in women within five decades. Nevertheless, the variation in the decline in infection in the long term between a vaccination coverage of 75% and 90% is relatively small, suggesting that reaching coverage of around 70–75% in the heterosexual network may be enough to confer high protection. Nevertheless, HPV elimination may be achieved if men’s coverage is strictly controlled. This accurate representation of HPV transmission demonstrates the need to maintain high HPV vaccination coverage, especially in men, for whom the cost-effectiveness of vaccination is questioned. |
| first_indexed | 2024-03-10T11:26:00Z |
| format | Article |
| id | doaj.art-8c85e9f56cdb46888ff92b6c6495194a |
| institution | Directory Open Access Journal |
| issn | 1999-4915 |
| language | English |
| last_indexed | 2024-03-10T11:26:00Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Viruses |
| spelling | doaj.art-8c85e9f56cdb46888ff92b6c6495194a2023-11-21T19:38:00ZengMDPI AGViruses1999-49152021-05-0113590610.3390/v13050906On the Elimination of Infections Related to Oncogenic Human Papillomavirus: An Approach Using a Computational Network ModelCintia Muñoz-Quiles0Javier Díez-Domingo1Luis Acedo2Víctor Sánchez-Alonso3Rafael J. Villanueva4Vaccine Research Area, FISABIO-Public Health, Avenida de Cataluña, 21, 46020 Valencia, SpainVaccine Research Area, FISABIO-Public Health, Avenida de Cataluña, 21, 46020 Valencia, SpainDepartment of Mathematics, Centro Universitario de Plasencia, University of Extremadura, 10600 Plasencia, SpainInstituto Universitario de Matemática Multidisciplinar, 8G Building, 2nd Floor, Camino de Vera, Universitat Politècnica de Valéncia, 46022 Valencia, SpainInstituto Universitario de Matemática Multidisciplinar, 8G Building, 2nd Floor, Camino de Vera, Universitat Politècnica de Valéncia, 46022 Valencia, SpainCervical cancer is the fourth most common malignancy in women worldwide, although it is preventable with prophylactic HPV vaccination. HPV transmission-dynamic models can predict the potential for the global elimination of cervical cancer. The random network model is a new approach that allows individuals to be followed, and to implement a given vaccination policy according to their clinical records. We developed an HPV transmission-dynamic model on a lifetime sexual partners network based on individual contacts, also accounting for the sexual behavior of men who have sex with men (MSM). We analyzed the decline in the prevalence of HPV infection in a scenario of 75% and 90% coverage for both sexes. An important herd immunity effect for men and women was observed in the heterosexual network, even with 75% coverage. However, HPV infections are persistent in the MSM population, with sustained circulation of the virus among unvaccinated individuals. Coverage around 75% of both sexes would be necessary to eliminate HPV-related conditions in women within five decades. Nevertheless, the variation in the decline in infection in the long term between a vaccination coverage of 75% and 90% is relatively small, suggesting that reaching coverage of around 70–75% in the heterosexual network may be enough to confer high protection. Nevertheless, HPV elimination may be achieved if men’s coverage is strictly controlled. This accurate representation of HPV transmission demonstrates the need to maintain high HPV vaccination coverage, especially in men, for whom the cost-effectiveness of vaccination is questioned.https://www.mdpi.com/1999-4915/13/5/906human papillomavirus viruscervical cancerrandom network modelvaccination programsoncogenic HPV elimination |
| spellingShingle | Cintia Muñoz-Quiles Javier Díez-Domingo Luis Acedo Víctor Sánchez-Alonso Rafael J. Villanueva On the Elimination of Infections Related to Oncogenic Human Papillomavirus: An Approach Using a Computational Network Model Viruses human papillomavirus virus cervical cancer random network model vaccination programs oncogenic HPV elimination |
| title | On the Elimination of Infections Related to Oncogenic Human Papillomavirus: An Approach Using a Computational Network Model |
| title_full | On the Elimination of Infections Related to Oncogenic Human Papillomavirus: An Approach Using a Computational Network Model |
| title_fullStr | On the Elimination of Infections Related to Oncogenic Human Papillomavirus: An Approach Using a Computational Network Model |
| title_full_unstemmed | On the Elimination of Infections Related to Oncogenic Human Papillomavirus: An Approach Using a Computational Network Model |
| title_short | On the Elimination of Infections Related to Oncogenic Human Papillomavirus: An Approach Using a Computational Network Model |
| title_sort | on the elimination of infections related to oncogenic human papillomavirus an approach using a computational network model |
| topic | human papillomavirus virus cervical cancer random network model vaccination programs oncogenic HPV elimination |
| url | https://www.mdpi.com/1999-4915/13/5/906 |
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