CK22-008 Healthcare Modeling Workforce Development Through Washington State University's Resistance Epidemiology Modeling Initiative

项目总结/摘要 越来越需要训练有素、方法复杂的流行病学建模人员， 尤其是在医疗保健环境中。应对持续存在和新出现的卫生保健相关感染 如S。aureus，C. difficile和C.耳道需要复杂的建模方法， 代表复杂和动态的医疗保健环境。SARS-CoV-2大流行还 展示了在州和地方一级以及在 医院系统，以满足不同利益相关者在公共卫生期间的具体需求 紧急情况拟议的项目，“通过华盛顿的医疗保健建模劳动力发展 州立大学的耐药性流行病学建模倡议”旨在利用不断增长的，建模和 在华盛顿州立大学的方法为重点，跨学科的研究项目。这些程序 应对与卫生保健相关的感染、新发传染病和抗菌素耐药性， 从流行病学、统计学、数学和计算机科学的专业知识中汲取经验， 与临床医生和决策者的合作记录。该项目将资助3 来自各种潜在学术背景的流行病学建模研究员。这些家伙将是 从事三个项目：（1）了解新发传染病加速流行的趋势 当他们到达医疗保健系统（称为“医院放大”），（2）现有的评估 模型和基于模型的指导，以使其可推广到农村和社区医疗保健环境，以及（3） 开发方法来建模和模拟医院内和医院之间的病人转移网络，以更好地 了解这些网络是如何形成的，允许破坏这些网络的研究，并经常 以合成网络的形式更广泛地访问敏感数据。这些项目都涉及到 一个或多个具有公共卫生重要性的HAI，并涉及几个主题领域，包括抗菌 耐药性、患者连通性、健康公平性、疫情应对、流行病学研究模拟， 系统方法和动物传染病。该奖学金计划将由Eric Lofgren博士领导， 传染病流行病学家和耐药性流行病学建模倡议（REMI）主任， 支持抗菌素耐药性和卫生保健相关感染研究的多学科努力 华盛顿州立大学。Lofgren博士在传染病的数学和计算建模方面具有丰富的经验。 疾病并专门研究HAI的建模。拟议的研究金计划将给予研究员 获得各种跨学科合作的机会和支持 专业发展机会。通过地方和国家的合作关系，该计划 将使研究员成为下一代医疗保健建模专家。

PROJECT SUMMARY/ABSTRACT There is a growing need for well-trained, methodologically sophisticated epidemiological modelers, especially in healthcare settings. Addressing persistent and emerging healthcare-associated infections (HAIs) such as S. aureus, C. difficile and C. auris require sophisticated modeling approaches that can represent the complex and dynamic healthcare environment. The SARS-CoV-2 pandemic has also demonstrated the need for, and value of, modeling support at the state and local level, as well as within hospital systems to address the specific needs of a diverse range of stakeholders during a public health emergency. The proposed project, “Healthcare Modeling Workforce Development Through Washington State University's Resistance Epidemiology Modeling Initiative” seeks to leverage the growing, modeling and methods focused, interdisciplinary research programs at Washington State University. These programs address healthcare-associated infections, emerging infectious diseases, and antimicrobial resistance, and draw from expertise in epidemiology, statistics, mathematics, and computer science, and have a strong track record of collaboration with clinicians and policymakers. The proposed project would fund three epidemiology modeling fellows from a variety of potential academic backgrounds. These fellows will be engaged in three projects: (1) Understanding the tendency of emerging infectious diseases to accelerate when they reach the healthcare system (termed “Nosocomial Amplification”), (2) the evaluation of existing models and model-based guidance for its generalizability to rural and community healthcare settings, and (3) developing methods to model and simulate within- and between- hospital patient transfer networks, to better understand how these networks are formed, allow studies that disrupt these networks, and to make often sensitive data more widely accessible in the form of synthetic networks. Each of these projects touches on one or more HAIs of public health importance and address several thematic areas including antimicrobial resistance, patient connectiveness, health equity, outbreak response, simulation of epidemiological studies, systems approaches and zoonotic diseases. The fellowship program will be led by Dr. Eric Lofgren, an infectious disease epidemiologist and director of the Resistance Epidemiology Modeling Initiative (REMI), a multidisciplinary effort to support antimicrobial resistance and healthcare-associated infection research at WSU. Dr. Lofgren has extensive experience in mathematical and computational modeling of infectious diseases and specializes in the modeling of HAIs. The proposed fellowship program would give fellows access to a diverse range of opportunities for collaboration across different academic disciplines and support for professional development opportunities. With both local and national collaborative ties, the program would position fellows to become the next generation of healthcare modeling experts.