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Improving Control of Antibiotic-Resistant Gonorrhea by Integrating Research Agendas Across Disciplines: Key Questions Arising From Mathematical Modeling

机译:通过整合跨学科的研究议程来提高抗药性淋病的控制:数学建模提出的关键问题

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摘要

The rise in gonococcal antibiotic resistance and the threat of untreatable infection are focusing attention on strategies to limit the spread of drug-resistant gonorrhea. Mathematical models provide a framework to link the natural history of infection and patient behavior to epidemiological outcomes and can be used to guide research and enhance the public health impact of interventions. While limited knowledge of key disease parameters and networks of spread has impeded development of operational models of gonococcal transmission, new tools in gonococcal surveillance may provide useful data to aid tracking and modeling. Here, we highlight critical questions in the management of gonorrhea that can be addressed by mathematical models and identify key data needs. Our overarching aim is to articulate a shared agenda across gonococcus-related fields from microbiology to epidemiology that will catalyze a comprehensive evidence-based clinical and public health strategy for management of gonococcal infections and antimicrobial resistance.
机译:淋球菌抗生素耐药性的上升和不可治愈的感染的威胁正在将注意力集中在限制耐药性淋病扩散的策略上。数学模型提供了将感染的自然史和患者行为与流行病学结果联系起来的框架,可用于指导研究并增强干预措施对公共卫生的影响。虽然对关键疾病参数和传播网络的了解有限,阻碍了淋球菌传播操作模型的开发,但淋球菌监测的新工具可能会提供有用的数据,以帮助进行追踪和建模。在这里,我们重点介绍淋病管理中的关键问题,这些问题可以通过数学模型解决,并确定关键数据需求。我们的首要目标是阐明从微生物学到流行病学的与球菌相关领域的共同议程,这将促进基于综合证据的临床和公共卫生策略来控制淋球菌感染和耐药性。

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