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Integrated Network Analysis of RADx-UP Data to Increase COVID-19 Testing and Vaccination Among Persons Involved with Criminal Legal Systems (PCLS)

Award Number: R21MD019388
ORGANIZATION: NATIONAL CENTER ON MINORITY HEALTH AND HEALTH DISPARITIES
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/21/2023
PERIOD OF PERFORMANCE END DATE: 06/30/2026

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Integrated Network Analysis of RADx-UP Data to Increase COVID-19 Testing and Vaccination Among Persons Involved with Criminal Legal Systems (PCLS) - Project Summary Coronavirus Disease 2019 (COVID-19) continues to cause significant morbidity and mortality across the world. Characterized by crowded detention facilities and limited medical safety resources, US criminal legal settings (CLS) have experienced some of the largest COVID-19 outbreaks. Persons involved with CLS (PCLS) additionally experience significant barriers to health care upon release, and often return to environments impacted by syndemic factors rooted in structural racism: lower vaccine access, fewer testing facilities, medical mistrust, and higher COVID-19 prevalence. A complex interplay between individual and social network-level factors may be driving the adverse COVID-19 outcomes among PCLS. But, despite their importance, social network influences – and the effect of their interaction with individual ands structural factors on COVID-19 testing, vaccination and broader health behaviors – are not routinely examined. To systematically address this gap, we will leverage two existing RADx-UP studies across eight US states. The “Community Network Driven COVID-19 Testing Among Most Vulnerable Populations in the Central United States” (C3) study is unique in that it has collected longitudinal social network data on testing, vaccination and health behaviors among PCLS in five US states. Additionally, the “COVID-19 Testing and Prevention in Correctional Settings” (CTC) study has assessed COVID-19 testing, vaccination, and mitigation strategies for PCLS in three US states. We will integrate the common data elements collected through the CTC project with the network determinants estimated from the C3 data to develop an agent-based network model (ABNM) – a dynamic systems modeling technique that provides the ability to simulate emergent interaction between individual behaviors, social structures, policy implementation, and downstream assessment of population outcomes. The proposed modeling study will: (1) use machine learning to quantify the impact of network-level influences on COVID-19 testing, vaccination, and health behaviors within PCLS communities; (2) build an agent-based network modeling (ABNM) platform that integrates the individual common data elements (CDEs) of testing and vaccination collected from the CTC study and network determinants from the C3 study; (3) simulate the effects of interventions on COVID-19 vaccination, testing and broader health behaviors in PCLS and their communities. This approach will provide insight on the potential impacts of network-informed interventions using RADx-UP data, social network analysis, machine learning, and agent-based modeling to identify interventions to reduce COVID-19 morbidity and mortality among PCLS and their communities.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $0 )
2026	2024	BROWN UNIVERSITY	1 PROSPECT ST	PROVIDENCE	RI	02912	PROVIDENCE	USA	Trans-NIH Research Support	002	2	3/9/2026	OTHER REVISION	$138,312
2026	2024	BROWN UNIVERSITY	1 PROSPECT ST	PROVIDENCE	RI	02912	PROVIDENCE	USA	Trans-NIH Research Support	000	2	12/30/2025	OTHER REVISION	-$138,312
2026	2024	BROWN UNIVERSITY	1 PROSPECT ST	PROVIDENCE	RI	02912	PROVIDENCE	USA	Trans-NIH Research Support	001	2	3/9/2026	OTHER REVISION	$0
														Subtotal = $0

Issue Date FY: 2025 ( Subtotal = $0 )
2025	2024	BROWN UNIVERSITY	1 PROSPECT ST	PROVIDENCE	RI	02912	PROVIDENCE	USA	Trans-NIH Research Support	001	2	7/5/2025	OTHER REVISION	$0
2025	2024	BROWN UNIVERSITY	1 PROSPECT ST	PROVIDENCE	RI	02912	PROVIDENCE	USA	Trans-NIH Research Support	000	2	4/1/2025	TERMINATION	$0
														Subtotal = $0

Issue Date FY: 2024 ( Subtotal = $207,669 )
2024	2024	BROWN UNIVERSITY	1 PROSPECT ST	PROVIDENCE	RI	02912	PROVIDENCE	USA	Trans-NIH Research Support	000	2	7/5/2024	NON-COMPETING CONTINUATION	$207,669
														Subtotal = $207,669

Issue Date FY: 2023 ( Subtotal = $279,230 )
2023	2023	BROWN UNIVERSITY	1 PROSPECT ST	PROVIDENCE	RI	02912	PROVIDENCE	USA	Trans-NIH Research Support	001	1	9/26/2023	NEW	$0
2023	2023	BROWN UNIVERSITY	1 PROSPECT ST	PROVIDENCE	RI	02912	PROVIDENCE	USA	Trans-NIH Research Support	000	1	9/20/2023	NEW	$279,230
														Subtotal = $279,230

Grand Total All Awards = $486,899

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Integrated Network Analysis of RADx-UP Data to Increase COVID-19 Testing and Vaccination Among Persons Involved with Criminal Legal Systems (PCLS)

Award Number: R21MD019388

ORGANIZATION: NATIONAL CENTER ON MINORITY HEALTH AND HEALTH DISPARITIES

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/21/2023

PERIOD OF PERFORMANCE END DATE: 06/30/2026

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