2020年，世界卫生组织启动了第一个加速消除宫颈癌的全球战略，概述了各国在未来十年要实现的一系列雄心勃勃的目标。与此同时，新的工具、技术和策略正在酝酿之中，它们可能会提高筛查性能，扩大预防性疫苗的覆盖范围，并防止致癌 HPV 的获得、持续和进展。详细的机制模型可以帮助确定当前和未来对抗宫颈癌的策略的组合。需要开源建模工具来转移国内此类评估的能力。在这里，我们介绍了人乳头瘤病毒模拟器 (HPVsim)，这是一种新的开源软件包，用于创建灵活的基于代理的模型，该模型以特定国家的生命动态、结构化性网络和共同传播 HPV 基因型为参数。 HPVsim 包含一种用于模拟宫颈疾病进展的新颖方法，旨在轻松适应新形式的筛查。该软件本身是用 Python 实现的，具有用于模拟常用干预措施的内置工具，包括一套全面的测试和文档，并且可以在笔记本电脑上快速运行（几秒到几分钟）。 HPVsim 的多尺度建模功能大大增强了性能。 HPVsim 是根据 MIT 许可证开源的，可通过 Python 包索引（通过 pip install）和 GitHub (hpvsim.org) 获取。版权所有：© 2024 Stuart 等人。这是一篇根据知识共享署名许可条款分发的开放获取文章，允许在任何媒体上不受限制地使用、分发和复制，前提是注明原始作者和来源。

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).Copyright: © 2024 Stuart et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.