Human papillomavirus vaccination at a time of changing sexual behavior
Open accessAbstract
Human papillomavirus (HPV) prevalence varies widely worldwide. We used a transmission model to show links between age-specific sexual patterns and HPV vaccination effectiveness. We considered rural India and the United States as examples of 2 heterosexual populations with traditional age-specific sexual behavior and gender-similar age-specific sexual behavior, respectively. We simulated these populations by using age-specific rates of sexual activity and age differences between sexual partners and found that transitions from traditional to gender-similar sexual behavior in women <35 years of age can result in increased (2.6-fold in our study) HPV16 prevalence. Our model shows that reductions in HPV16 prevalence are larger if vaccination occurs in populations before transitions in sexual behavior and that increased risk for HPV infection attributable to transition is preventable by early vaccination. Our study highlights the importance of using time-limited opportunities to introduce HPV vaccination in traditional populations before changes in age-specific sexual patterns occur.
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The study's projections are for more than 100 years, a period over which substantial demographic and behavioural changes and technological development are anticipated that can have an impact on cervical cancer incidence.
“First, our projections are for more than 100 years, a period over which substantial demographic and behavioural changes and technological development are anticipated that can have an impact on cervical cancer incidence.43, 49”
From Impact of HPV vaccination and cervical screening on cervical cancer elimination: a comparative modelling analysis in 78 low-income and lower-middle-income countries (2020) · cites this paper as [49]
The Results (page unavailable) project that changing sexual behavior can increase HPV16 prevalence, supporting the concern that behavior may affect long-term projections. The paper does not project cervical cancer incidence over more than 100 years or address anticipated demographic changes and technological development. In the citing sentence, “our projections” refers to the citing authors’ work, not this source’s projections. (LLM, conf=0.83)
Experimental — accuracy not yet measuredIn countries mainly in Asia, age-adjusted HPV infection and cervical cancer rates might be increasing, and thus time to elimination might be slightly longer than predicted.
“In these countries (mainly in Asia), age-adjusted HPV infection and cervical cancer rates might be increasing,49 and thus time to elimination might be slightly longer than predicted.”
From Impact of HPV vaccination and cervical screening on cervical cancer elimination: a comparative modelling analysis in 78 low-income and lower-middle-income countries (2020) · cites this paper as [49]
The Results model an increase in HPV16 prevalence from 3% to 8% as sexual behavior changes, using rural India as an example of a traditional population. The cited paper does not establish increasing age-adjusted HPV infection rates across mainly Asian countries or increasing cervical cancer rates. The sentence’s prediction about time to elimination follows the citation and is not treated as attributed to this source. (LLM, conf=0.83)
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Ronco, G., Rossi, P. G., Carozzi, F., Confortini, M., Palma, P. D., Mistro, A. D., Ghiringhello, B., Girlando, S., Gillio‐Tos, A., Marco, L. D., et al. (2010) · The Lancet Oncology · doi:10.1016/s1470-2045(09)70360-2 · Cited by 935 · see citing works
Sexual behaviour in context: a global perspective
Wellings, K., Collumbien, M., Slaymaker, E., Singh, S., Hodges, Z., Patel, D., & Bajos, N. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69479-8 · Cited by 933 · see citing works
Guan, P., Howell‐Jones, R., Li, N., Bruni, L., de Sanjosé, S., Franceschi, S., & Clifford, G. M. (2012) · International Journal of Cancer · doi:10.1002/ijc.27485 · Cited by 927 · see citing works
Self-citationMercer, C. H., Tanton, C., Prah, P., Erens, B., Sonnenberg, P., Clifton, S., Macdowall, W., Lewis, R., Field, N., Datta, J., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(13)62035-8 · Cited by 724 · see citing works
Sexual mixing patterns and sex-differentials in teenage exposure to HIV infection in rural Zimbabwe
Gregson, S., Nyamukapa, C. A., Garnett, G. P., Mason, P. R., Zhuwau, T., Caraël, M., Chandiwana, S. K., & Anderson, R. M. (2002) · The Lancet · doi:10.1016/s0140-6736(02)08780-9 · Cited by 582 · see citing works
Intimate-partner violence [letter]
Se, R., Stuart, G. S., Am, H., Recupero, P. R., & Short, Y. (2006) · The Lancet · Cited by 486 · see citing works
Variations in the age‐specific curves of human papillomavirus prevalence in women worldwide
Franceschi, S., Herrero, R., Clifford, G. M., Snijders, P. J. F., Arslan, A., Anh, P. T. H., Bosch, F. X., Catterina Ferreccio, R., Hieu, N. T., Lazcano-Ponce, E. C., et al. (2006) · International Journal of Cancer · doi:10.1002/ijc.22241 · Cited by 414 · see citing works
Self-citationSyphilis in China: results of a national surveillance programme
Chen, Z., Zhang, G.-C., Gong, X.-D., Lin, C. C., Gao, X., Liang, G., Yue, X.-L., Chen, X., & Cohen, M. S. (2007) · The Lancet · doi:10.1016/s0140-6736(07)60074-9 · Cited by 296 · see citing works
Barnabas, R. V., Laukkanen, P., Koskela, P. U., Kontula, O., Lehtinen, M., & Garnett, G. P. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030138 · Cited by 290 · see citing works
Sexual networks: implications for the transmission of sexually transmitted infections
Liljeros, F., Edling, C., & Amaral, L. A. N. (2003) · Microbes and Infection · doi:10.1016/s1286-4579(02)00058-8 · Cited by 264 · see citing works
Role of Herd Immunity in Determining the Effect of Vaccines against Sexually Transmitted Disease
Garnett, G. P. (2005) · The Journal of Infectious Diseases · doi:10.1086/425271 · Cited by 242 · see citing works
Modelling the Impact of Antiretroviral Use in Resource-Poor Settings
Baggaley, R. F., Garnett, G. P., & Ferguson, N. M. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030124 · Cited by 168 · see citing works
An introduction to mathematical models in sexually transmitted disease epidemiology
Garnett, G. P. (2002) · Sexually Transmitted Infections · doi:10.1136/sti.78.1.7 · Cited by 163 · see citing works
Papillomavirus infection in rural women in southern India
Franceschi, S., Rajkumar, R., Snijders, P. J. F., Arslan, A., Mahé, C., Plummer, M., Sankaranarayanan, R., Cherian, J., Meijer, C. J. L. M., & Weiderpass, E. (2005) · British Journal of Cancer · doi:10.1038/sj.bjc.6602348 · Cited by 163 · see citing works
Self-citationKim, J. J., Andres-Beck, B., & Goldie, S. J. (2007) · British Journal of Cancer · doi:10.1038/sj.bjc.6604023 · Cited by 156 · see citing works
Syphilis and Social Upheaval in China
Tucker, J. D., Chen, X., & Peeling, R. W. W. (2010) · New England Journal of Medicine · doi:10.1056/nejmp0911149 · Cited by 153 · see citing works
Gravitt, P. E., Rositch, A. F., Silver, M. I., Marks, M. A., Chang, K., Burke, A. E., & Viscidi, R. P. (2012) · The Journal of Infectious Diseases · doi:10.1093/infdis/jis660 · Cited by 113 · see citing works
Garnett, G. P., & Anderson, R. M. (1994) · Mathematical Medicine and Biology A Journal of the IMA · doi:10.1093/imammb/11.3.161 · Cited by 111 · see citing works
Eurogin 2010 roadmap on cervical cancer prevention
Franceschi, S., Denny, L. E., Irwin, K. L., Jerónimo, J., Lopalco, P. L., Monsonégo, J., Peto, J., Ronco, G., Sasieni, P. D., & Wheeler, C. M. (2011) · International Journal of Cancer · doi:10.1002/ijc.25915 · Cited by 87 · see citing works
Self-citationVan de Velde, N., Brisson, M., & Boily, M.-C. (2010) · Vaccine · doi:10.1016/j.vaccine.2010.05.056 · Cited by 87 · see citing works
Self-citationDunne, E. F., Sternberg, M., Markowitz, L. E., McQuillan, G. M., Swan, D., Patel, S. S., & Unger, E. R. (2011) · The Journal of Infectious Diseases · doi:10.1093/infdis/jir342 · Cited by 67 · see citing works
Human Papillomavirus Concordance in Heterosexual Couples
Widdice, L. E., Inwards-Breland, D. J., Jonte, J., Farhat, S., Ma, Y., Leonard, A. C., & Moscicki, A. (2010) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2010.01.006 · Cited by 54 · see citing works
Lopman, B. A., Nyamukapa, C. A., Mushati, P., Mupambireyi, Z., Mason, P., Garnett, G. P., & Gregson, S. (2008) · International Journal of Epidemiology · doi:10.1093/ije/dym255 · Cited by 52 · see citing works
Impact of Vaccination on 14 High-Risk HPV Type Infections: A Mathematical Modelling Approach
Vänskä, S., Auranen, K. J., Leino, T. M., Salo, H., Nieminen, P., Kilpi, T. M., Tiihonen, P., Apter, D. L., & Lehtinen, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0072088 · Cited by 38 · see citing works
Johnson, H. C., Elfström, K. M., & Edmunds, W. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049614 · Cited by 34 · see citing works
High-Throughput Monitoring of Human Papillomavirus Type Distribution
Söderlund‐Strand, A., & Dillner, J. (2012) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-12-1003 · Cited by 33 · see citing works
Hertog, S. (2007) · Sexually Transmitted Diseases · doi:10.1097/olq.0b013e31805ba84c · Cited by 29 · see citing works
Type-Specific Human Papillomavirus Biological Features: Validated Model-Based Estimates
Baussano, I., Elfström, K. M., Lazzarato, F., Gillio‐Tos, A., Marco, L. D., Carozzi, F., Mistro, A. D., Dillner, J., Franceschi, S., & Ronco, G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0081171 · Cited by 28 · see citing works
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Self-citationFranceschi, S., & Baussano, I. (2014) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiu143 · Cited by 24 · see citing works
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Prem, K., Choi, Y. H., Bénard, É., Burger, E. A., Hadley, L., Laprise, J., Regan, M. C., Drolet, M., Sy, S., Abbas, K., et al. (2021) · medRxiv · doi:10.1101/2021.02.08.21251186 · Cited by 13 · see citing works
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Self-citationGray, P. G., & Louvanto, K. (2026) · JNCI Monographs · doi:10.1093/jncimonographs/lgag011
- Authors
- Baussano, I., Lazzarato, F., Brisson, M., & Franceschi, S.
- Affiliations
- Università degli Studi del Piemonte Orientale “Amedeo Avogadro” (IT)
- Corresponding author
- Baussano, Iacopo
- Venue
- Emerging Infectious Diseases
- Published
- 2016-01
- Volume
- 22
- Issue
- 1
- Pages
- 18-23
- ISSN
- 1080-6040 (ISSN-L)
- 1080-6059
- PMC
- PMC4696692
- OpenAlex
- W2199050046
- Cited by
- 24
- References
- 30
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 2 · 2021: 3 · 2020: 4 · 2019: 1 · 2018: 4 · 2017: 2 · 2016: 3
- FWCI
- 2.35
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Emerging infectious diseases (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Bill and Melinda Gates Foundation (OPP1053353)
- Centre International de Recherche sur le Cancer
- Imperial College London
- FP7 Health (603019)
- Topics
- Health Sciences › Medicine › Epidemiology › Cervical Cancer and HPV Research
- Life Sciences › Immunology and Microbiology › Microbiology › Reproductive tract infections research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
- Keywords
- HPV vaccination, sexual behavior change, transmission model, vaccination effectiveness, rural India, United States
- MeSH terms
- Adolescent, Adult, Aged, Child, Female, Humans, Immunization, India, Male, Middle Aged, Risk Factors, Rural Population, Sexual Behavior, Sexual Partners, Vaccination, Prevalence, Papillomaviridae, Papillomavirus Infections, Papillomavirus Vaccines, Young Adult
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