Simulating the Spread and Control of Multiple MDROs Across a Network of Different Nursing Homes
Simulating the Spread and Control of Multiple MDROs Across a Network of Different Nursing Homes
批准号:
10549492
负责人:
Bruce Y Lee
金额:
$52.63万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-07-11 至 2028-04-30
关键词:
AffectAreaCaliforniaCandida aurisCause of DeathCharacteristicsCirculationClinicalComplexComputer ModelsCountyDataData AnalysesData CollectionEconomicsEcosystemEpidemiologyEquipmentExtended-spectrum β-lactamaseGoalsIndividualInfection ControlIntegration Host FactorsInterventionLong-Term Care NursingModelingNursing HomesNursing ModelsOrangesOutcomePoliciesPreventionPrincipal InvestigatorResearch PersonnelResourcesTestingTimeTranslationsVancomycin resistant enterococcusVancomycin-resistant S. aureusWorkburden of illnesscarbapenem resistancecomorbidityeconomic impacteconomic valuehealthcare-associated infectionsinfection riskinnovationinsightmethicillin resistant Staphylococcus aureusmulti-drug resistant pathogenmultimodalitypathogensynergismtransmission processwound
中文摘要
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英文摘要
Abstract
Project 3: Simulating the Spread and Control of Multiple MDROs
Across a Network of Nursing Homes in a Region
Multidrug-resistant organisms (MDROs) cause nearly 3 million healthcare-associated infections (HAIs),
which are a major cause of death in US nursing homes (NHs), annually. While MDROs are commonly studied
in isolation, these pathogens circulate simultaneously, and their spread and prevention may affect and
compound each other. Therefore, determining the value of such strategies in NHs requires an understanding of
how they would affect colonization and infection risks of various MDROs simultaneously. Moreover, the impact
of MDROs and their prevention and control strategies extend beyond individual NHs and involve the dynamic
ecosystem of NHs in a region. Computational modeling that integrates epidemiologic, operational, and
economic components can help delineate the circulation and impact of multiple MDROs, test various
prevention and control strategies, and determine the subsequent ecosystem-wide effects related to
transmission and disease burden in ways that can save time, effort, and resources. The overall goal of this
proposed project is to elucidate (1) the combined effects of multiple MDROs spreading simultaneously
and (2) how policies and interventions (e.g., contact precautions, decolonization) may have an impact
across a variety of MDROs at the same time, using agent-based models (ABMs) of NHs in Orange
County (OC), California (CA). These detailed representations of NHs will include and help differentiate
among various multi-level factors affecting MDRO spread. This modeling Project will proceed in a synergistic,
iterative manner with the other two Projects. Model results will guide data collection and analyses for Projects 1
and 2, and data insights from Projects 1 and 2 will guide further refinement of the models. Shifting the focus
from one MDRO at a time to various MDROs collectively will help decision makers choose the best
overall infection control strategy. Specific Aim 1 will develop ABMs for each of the 70 nursing NHs in OC,
CA simulating how multiple MDROs (methicillin-resistant Staphylococcus aureus, vancomycin-resistant
enterococci, extended-spectrum beta-lactamase-producing Enterobacterales, carbapenem-resistant
Enterobacterales, and Candida auris) interact among carriers and co-carriers to promote spread. Specific Aim
2 will evaluate how different pathogens, host factors (e.g., comorbidities, wounds, bedbound status), and room
characteristics (e.g., roommates, common areas, shared equipment) simultaneously affect MDRO
transmission in NHs across a region using the various NH ABMs. Specific Aim 3 will estimate how various
pathogen-specific and non-specific multi-modal strategies may affect the transmission and spread of different
MDROs individually and simultaneously in NHs across a region using the NH ABMs.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems (AIMINGS) Center
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资助金额:$41.33万
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依托单位:
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批准号:10552687
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项目类别:
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资助金额:$19.18万
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资助金额:$24.25万
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资助金额:$43.33万
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依托单位:
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项目类别:
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