Mechanistic mathematical models: An underused platform for HPV research.
Mechanistic mathematical models: An underused platform for HPV research.
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DOI：
10.1016/j.pvr.2017.01.004
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发表时间：
2017-06
期刊：
影响因子：
--
通讯作者：
Myers ER
中科院分区：
文献类型：
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作者：
Ryser MD;Gravitt PE;Myers ER
卫生经济模型已成为设计和评估针对人类乳头瘤病毒（HPV）和相关疾病的临床和公共卫生干预措施的宝贵方法。与此同时，相对较少关注另一类不同但互补的模型，即机械数学模型。机制数学模型的主要焦点是更好地理解复杂的生物机制和疾病动力学。受到其他生物医学领域机械建模的悠久而成功的历史的启发，我们强调了HPV研究的几个领域，其中机械模型有可能推进该领域。我们认为，通过在生物机制和人口水平数据之间建立定量桥梁，机制数学模型提供了一个独特的平台，使在HPV感染过程的不同物理尺度上收集数据的实验者之间能够合作。通过这样的合作，机械数学模型可以加速和加强HPV和相关疾病的研究。
Health economic modeling has become an invaluable methodology for the design and evaluation of clinical and public health interventions against the human papillomavirus (HPV) and associated diseases. At the same time, relatively little attention has been paid to a different yet complementary class of models, namely that of mechanistic mathematical models. The primary focus of mechanistic mathematical models is to better understand the intricate biologic mechanisms and dynamics of disease. Inspired by a long and successful history of mechanistic modeling in other biomedical fields, we highlight several areas of HPV research where mechanistic models have the potential to advance the field. We argue that by building quantitative bridges between biologic mechanism and population level data, mechanistic mathematical models provide a unique platform to enable collaborations between experimentalists who collect data at different physical scales of the HPV infection process. Through such collaborations, mechanistic mathematical models can accelerate and enhance the investigation of HPV and related diseases.