Human papillomavirus seroprevalence and seroconversion following baseline detection of nine human papillomavirus types in young women

Brown, Darron R.; Castellsagué, Xavier; Ferris, Daron G.; Garland, Suzanne M.; Huh, Warner K.; Steben, Marc; Wheeler, Cosette M.; Saah, Alfred J.; Luxembourg, Alain; Li, Se; Velicer, Christine

doi:10.1016/j.tvr.2022.200236

Cited by 7 publications

(4 citation statements)

References 43 publications

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“…We do, however, allow multiple concurrent infections with different genotypes. In the absence of clear data to inform within-host genotype competition and given the delay in seroconversion and antibody development to provide own- and cross-immune protection [ 24 , 25 ], we assume HPV infections are independent; agents are no more or less likely to acquire an infection of a different genotype if they are currently infected. The probability of a person i infected with genotype g transmitting to a susceptible person j at time step t can be written as: where β g is the per-act transmission probability of genotype g , eff_cond is the assumed efficacy of condoms (set to 50% by default), cond is the probability of condom use within this partnership, and n(t) is the number of sexual acts within this partnership during time step t .…”

Section: Design and Implementationmentioning

confidence: 99%

HPVsim: An agent-based model of HPV transmission and cervical disease

Stuart,

Cohen,

Kerr

et al. 2024

PLoS Comput Biol

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In 2020, the WHO launched its first global strategy to accelerate the elimination of cervical cancer, outlining an ambitious set of targets for countries to achieve over the next decade. At the same time, new tools, technologies, and strategies are in the pipeline that may improve screening performance, expand the reach of prophylactic vaccines, and prevent the acquisition, persistence and progression of oncogenic HPV. Detailed mechanistic modelling can help identify the combinations of current and future strategies to combat cervical cancer. Open-source modelling tools are needed to shift the capacity for such evaluations in-country. Here, we introduce the Human papillomavirus simulator (HPVsim), a new open-source software package for creating flexible agent-based models parameterised with country-specific vital dynamics, structured sexual networks, and co-transmitting HPV genotypes. HPVsim includes a novel methodology for modelling cervical disease progression, designed to be readily adaptable to new forms of screening. The software itself is implemented in Python, has built-in tools for simulating commonly-used interventions, includes a comprehensive set of tests and documentation, and runs quickly (seconds to minutes) on a laptop. Performance is greatly enhanced by HPVsim’s multi-scale modelling functionality. HPVsim is open source under the MIT License and available via both the Python Package Index (via pip install) and GitHub (hpvsim.org).

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Section: Design and Implementationmentioning

confidence: 99%

HPVsim: An agent-based model of HPV transmission and cervical disease

Stuart,

Cohen,

Kerr

et al. 2024

PLoS Comput Biol

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“…On the day that a woman clears infection, we evaluate whether seroconversion takes place, using genotype-specific probabilities (19). Individuals who seroconvert develop type-specific B- and T-cell protection against future infection, nab_imm g and cell_imm g , respectively, as explained in Sections 2.4.2 and 2.5.2.…”

Section: Design and Implementationmentioning

confidence: 99%

“…We do, however, allow multiple concurrent infections with different genotypes. In the absence of clear data to inform within-host genotype competition and given the delay in seroconversion and antibody development to provide own- and cross-immune protection (24,25), we assume HPV infections are independent; agents are no more or less likely to acquire an infection of a different genotype if they are currently infected. The probability of a person i infected with genotype g transmitting to a susceptible person j within a given time step can be written as: where eff_cond is the assumed efficacy of condoms (set to 50% by default), cond is the probability of condom use within this partnership, and n(t) is the number of sexual acts within this partnership between time t and time t+dt .…”

Section: Design and Implementationmentioning

confidence: 99%

Section: Hpv Transmissionmentioning

confidence: 99%

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HPVsim: An agent-based model of HPV transmission and cervical disease

Stuart

Cohen

Kerr

et al. 2023

Preprint

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In 2020, the WHO launched its first Global Strategy to Accelerate the Elimination of Cervical Cancer, outlining an ambitious set of targets for countries to achieve over the next decade. At the same time, new tools, technologies, and strategies are in the pipeline that may improve screening performance, expand the reach of prophylactic vaccines, and prevent the acquisition, persistence and progression of oncogenic HPV. Detailed mechanistic modeling can help identify the combinations of current and future strategies to combat cervical cancer. Open-source modeling tools are needed to shift the capacity for such evaluations in-country. Here, we introduce the Human papillomavirus simulator (HPVsim), a new, flexible agent-based model that can be parameterized with country-specific vital dynamics, structured sexual networks, co-transmitting HPV genotypes, B- and T-cell mediated immunity, and high-resolution disease natural history. HPVsim is designed with a user-first lens: it is implemented in Python, has built-in tools for simulating commonly-used interventions, includes a comprehensive set of tests and documentation, and runs quickly (seconds to minutes) on a laptop. Useful complexity was not sacrificed: the platform is flexible, allowing bespoke scenario modeling.

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