Midwest Virtual Laboratory of Pathogen Transmission in Healthcare Settings (MVL-PATHS)

中西部医疗机构中病原体传播虚拟实验室 (MVL-PATHS)

• 批准号: 10618068
• 负责人: Majid Bani Yaghoub
• 金额: $ 29.98万
• 依托单位: UNIVERSITY OF MISSOURI KANSAS CITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-30 至 2025-09-29
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10618068
• 关键词: Midwest; Virtual; Laboratory; Pathogen; Transmission

Midwest Virtual Laboratory of Pathogen Transmission in Healthcare Settings (MVL-PATHS) Project Summary Antimicrobial Resistant (AMR) pathogens have become a significant public health threat. Also, the COVID-19 pandemic has further revealed disparities in healthcare settings. By developing and implementing novel mathematical and computation models, the long-term goals are to optimize AMR control and preventive interventions and to improve the health equity. The central hypothesis is that the outputs of mathematical and computation models will provide optimized and effective guidelines to reduce the threat of AMR pathogen spread and reduce health disparities in healthcare settings. The rationale underlying this project is to fill the critical gap in modeling workforce capacity and develop a new generation of mathematical models for healthcare research. The central hypothesis will be tested by pursuing three specific aims to develop and employ a, (i) One Health modeling approach to understand the source, distribution and spread of AMR Enterobacteriaceae with a focus on Extended- spectrum beta-lactamase (ESBL)-producing E. coli, (ii) a novel Real-Time modeling approach to identify AMR pathogen transmission by asymptomatic spreaders and contaminated medical devices in hospitals, (iii) a novel Agent-Based Nested modeling approach to identify the effects of caregivers as vectors of disease spread, and effects of limited staffing and specialized care on equitable quality of care in nursing homes. We will pursue these aims using an innovative combination of mathematical and computational modeling techniques. These include both recently developed techniques of including human behavior in models and more-established techniques that have been applied very little to the study of health equity and AMR pathogen spread. The workforce development objectives of this proposal are to (i) enhance mathematical and computational modeling research capabilities of the public health workforce and (ii) increase the number of junior modeling professionals that are trained and experienced in modeling transmission of pathogens in healthcare settings partly incorporated with health disparities. The expected outcomes of this work are the successful training of five predoctoral fellows and creating a virtual laboratory of enhanced mathematical models to identify strategies for reducing the threat AMR pathogen spread and reducing health disparities. The results will have an important positive impact immediately because the virtual laboratory can also be used by healthcare professionals to further investigate the drivers of disease spread and estimate the relative benefits of multiple control and prevention strategies in a timely and cost-effective manner. In addition, the research outputs of this project will expand and strengthen national one-health efforts to combat resistance and will have a direct impact on CDC and its public health partners’ ability to reduce the costs, morbidity and mortality of healthcare associated infections.

中西部医疗机构病原体传播虚拟实验室(MVL-PATHS) 项目摘要 抗菌素耐药(AMR)病原体已成为严重的公共卫生威胁。还有，新冠肺炎 大流行进一步暴露了医疗保健环境中的差距。通过开发和实施新颖的 数学和计算模型，长期目标是优化AMR控制和预防 干预措施，改善卫生公平。中心假设是数学和数学的输出 计算模型将为减少AMR病原体传播的威胁提供优化和有效的指导方针 并减少医疗保健环境中的健康差距。这个项目的基本原理是填补关键的空白 对劳动力能力进行建模，并为医疗保健研究开发新一代数学模型。这个 中心假设将通过追求三个具体目标来测试，以开发和使用一个健康模型 了解AMR肠杆菌科细菌的来源、分布和传播的途径 产超广谱β-内酰胺酶(ESBL)大肠埃希菌，(Ii)一种新的AMR实时建模方法 医院内无症状传播者和受污染医疗设备的病原体传播，(Iii)一种新的 基于代理的嵌套建模方法，以确定照顾者作为疾病传播媒介的影响和影响 关于疗养院有限的人员配备和专门护理对公平的护理质量的影响。我们将追求这些目标 使用数学和计算建模技术的创新组合。其中包括两者 最近开发的在模型中包括人类行为的技术，以及更成熟的技术，这些技术已经 在健康公平和AMR病原体传播的研究中应用很少。劳动人口发展 这项提议的目标是：(I)加强数学和计算建模研究能力 公共卫生工作人员和(2)增加受过培训的初级模特专业人员的数量和 在医疗保健环境中病原体传播的建模方面经验丰富，部分与健康差距相结合。 这项工作的预期成果是成功地培养了五名博士前研究员，并创建了一个虚拟的 增强数学模型实验室，以确定减少AMR病原体传播威胁的策略 以及缩小健康差距。这一结果将立即产生重要的积极影响，因为 实验室也可以被医疗保健专业人员用来进一步调查疾病传播和 以及时和具有成本效益的方式评估多种控制和预防战略的相对效益。在……里面 此外，该项目的研究成果将扩大和加强全国防治单一卫生运动的努力 并将直接影响疾控中心及其公共卫生合作伙伴降低成本、发病率的能力 和医疗保健相关感染的死亡率。