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6篇 您的检索式：作者名="Bayham"

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		题名	作者	年代	出处	被引量
	1	Conversion of metallurgical coke and coal using a coal direct chemical looping (CDCL) moving bed reactor 显示文摘	LUO S BAYHAM S ZENG L	2014	Applied Energy2014，118，：	1
	2	Iron- based coal direct chemical looping combustion process: 200-h continuous operation of a 25-kWth subpilot unit 显示文摘	BAYHAM S C KIM H R WANG D	2013	Energy 8 Fuels2013，27，3：	1
	3	Coal direct chemical looping combustion process: Design and operation of a 25-kW th sub-pilot unit显示文摘	Hyung R. Kim Dawei Wang Liang Zeng Samuel Bayham Andrew Tong Elena Chung Mandar V. Kathe Siwei Luo Omar McGiveron Aining Wang David Chen Liang-Shih Fan	2012	Fuel2012，，：	1
	4	Early resolution of type 2 diabetes seen after Roux-en-Y gastric bypass and vertical sleeve gastrectomy显示文摘	Bayham BE Greenway FL Bellanger DE	2012	Diabetes Technol Ther2012，14，1：	1
	5	Early resolution of type 2 diabetes seen after Roux-en-Y gastric bypass and vertical sleeve gas~ectomy 显示文摘	Bayham BE Greenway FL Bellanger DE	2012	Diabetes Teclmol Ther2012，14，1：	1
	6	Model-based evaluation of policy impacts and the continued COVID-19 risk at long term care facilities显示文摘The COVID-19 pandemic severely impacted long-term care facilities resulting in the death of approximately 8%of residents nationwide as of March 2021.As COVID-19 case rates declined and state and county restrictions were lifted in spring 2021,facility managers,local and state health agencies were challenged with defining their own policies moving forward to appropriately mitigate disease transmission.The continued emergence of variants of concern and variable vaccineuptake across facilitieshighlighted the need for a readily available tool that can beemployed at the facility-level to determine best practices for mitigation and ensure resident and staff safety.To assist leadership in determining the impact of various infection surveillance and response strategies,we developed an agent-based model and an online dashboard interface that simulates COVID-19 infection within congregate care settings under various mitigation measures.This dashboard quantifies the continued risk for COVID-19 infections within a facility given a designated testing schedule and vaccine requirements.Key findings were that choice of COVID-19 diagnostic(ex.nasal swab qRT-PCR vs rapid antigen)and testing cadence has less impact on attack rate and staff workdays missed than does vaccination rates among staff and residents.Specifically,low vaccine uptake among staff at long-term care facilities puts staff and residents at risk of ongoing COVID-19 outbreaks.Here we present our model and dashboard as an exemplar of a tool for state public health officials and facility directors to gain insights from an infectious disease model that can directly inform policy decisions in the midst of a pandemic.	Bailey K.Fosdick Jude Bayham Jake Dilliott Gregory D.Ebel Nicole Ehrhart	2022	Infectious Disease Modelling2022，7，3：	0

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