Grad Yonatan H, Goldstein Edward, Lipsitch Marc, White Peter J
Department of Immunology and Infectious Diseases Department of Epidemiology, Center for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health, and Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Department of Epidemiology, Center for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health, and.
J Infect Dis. 2016 Mar 15;213(6):883-90. doi: 10.1093/infdis/jiv517. Epub 2015 Oct 30.
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.
淋球菌抗生素耐药性的上升以及无法治疗的感染威胁，正使人们将注意力集中在限制耐药淋病传播的策略上。数学模型提供了一个框架，可将感染的自然史和患者行为与流行病学结果联系起来，并可用于指导研究以及增强干预措施对公共卫生的影响。尽管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，但淋球菌监测中的新工具可能会提供有用的数据，以帮助进行追踪和建模。在此，我们强调数学模型可解决的淋病管理中的关键问题，并确定关键的数据需求。我们的总体目标是阐明从微生物学到流行病学的淋球菌相关领域的共同议程，这将促成基于全面证据的淋病感染和抗菌药物耐药性管理的临床和公共卫生策略。
