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Identifying COVID-19 vaccine deserts using Machine Learning and Geospatial Analyses to target Community -engaged testing for vulnerable rural populations to prevent localized outbreaks

Award Number: U01MD017419
ORGANIZATION: NATIONAL CENTER ON MINORITY HEALTH AND HEALTH DISPARITIES
OPDIV: NIH
AWARD CLASS: COOPERATIVE AGREEMENT
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 01/01/2022
PERIOD OF PERFORMANCE END DATE: 11/30/2023

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Identifying COVID-19 vaccine deserts using Machine Learning and Geospatial Analyses to target Community -engaged testing for vulnerable rural populations to prevent localized outbreaks - PROJECT ABSTRACT As of June 30, 2021, 23% of West Virginia’s (WV) 55 counties were ranked within the top 20% of most vulnerable counties to Covid-19 in the United States. Central to the state’s extreme vulnerability is higher prevalence of medical comorbidities, lower access to care among rural populations, and decreased vaccine uptake compared to urban counterparts. Of considerable concern, testing has decreased statewide to allow for active dispersal of the vaccines. Unfortunately, low testing compounds vulnerability to Covid-19 in medically underserved populations where vaccine uptake is low, as they are extremely susceptible to persistent localized outbreaks of the virus and subsequently higher morbidity and mortality. Our RADx-UP Phase Two proposal builds upon previously funded RADx-UP Phase One by identifying and targeting vaccine desert communities then tailoring testing event services to the needs of individual communities building upon their perceptions of what is important. Providing a dynamic solution for continued testing is critical. We define vaccine deserts using overall vaccination rate and the change in vaccine uptake over a two-week period. Machine learning with time series modeling is used to characterize county level transmissibility, incorporating here for the first-time vaccination rates. Risk estimates at the county level are overlaid with zip codes where vaccine deserts have been identified using bottom decile for overall vaccination rate and change in vaccination over a 14-day period. Once a community is identified study liaisons will connect study staff to advocates to conduct semi-structured interviews to identify partner sites to host testing events and collect data to tailor promotions, food, and media messaging to the specific needs of each community targeted. Testing events will involve sample and survey data collection, with promotions and chance giveaways to incentivize communities to participate. We build upon RADx-UP one activity by focusing heavily on first responders in each community to aid in hosting testing events, and faith based and on profits where applicable. We involve co-investigators with strong connections to southern WV, an area with limited resources for RADx-UP Phase One. Additionally, we conduct a pilot study to examine the performance of the ABBOTT ID Now isothermal PCR system in 600 participants. Effect of the intervention is evaluated through monitoring of pre and post testing rate for the county using spatial regression analyses. A unique attribute of the statistical framework we propose to evaluate our testing strategy is an ability to describe the impact on nearby counties in addition to the targeted community. This project will leverage existing and develop its own unique partnerships with local and state agencies for implementation of a community engaged testing delivery model within vaccine deserts. A critical and novel aspect of our approach is establishment of a grass roots first responders research network which can be leveraged to implement screening programs in isolated medically underserved communities or study first responder health outcomes.


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: 2024 ( Subtotal = -$535,280 )
2024	2023	WEST VIRGINIA UNIVERSITY RESEARCH CORPORATION	886 CHESTNUT RIDGE ROAD	MORGANTOWN	WV	26505	MONONGALIA	USA	Trans-NIH Research Support	000	2	6/25/2024	NON-COMPETING CONTINUATION	-$535,280
														Subtotal = -$535,280

Issue Date FY: 2023 ( Subtotal = $1,138,915 )
2023	2023	WEST VIRGINIA UNIVERSITY RESEARCH CORPORATION	886 CHESTNUT RIDGE ROAD	MORGANTOWN	WV	26505	MONONGALIA	USA	Trans-NIH Research Support	001	2	11/30/2022	NON-COMPETING CONTINUATION	$1,138,915
2023	2022	WEST VIRGINIA UNIVERSITY RESEARCH CORPORATION	886 CHESTNUT RIDGE ROAD	MORGANTOWN	WV	26505	MONONGALIA	USA	Trans-NIH Research Support	000	1	11/9/2022	NEW	$0
														Subtotal = $1,138,915

Issue Date FY: 2022 ( Subtotal = $1,015,320 )
2022	2022	WEST VIRGINIA UNIVERSITY RESEARCH CORPORATION	886 CHESTNUT RIDGE	MORGANTOWN	WV	26506	MONONGALIA	USA	Trans-NIH Research Support	000	1	12/30/2021	NEW	$1,015,320
														Subtotal = $1,015,320

Grand Total All Awards = $1,618,955

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Identifying COVID-19 vaccine deserts using Machine Learning and Geospatial Analyses to target Community -engaged testing for vulnerable rural populations to prevent localized outbreaks

Award Number: U01MD017419

ORGANIZATION: NATIONAL CENTER ON MINORITY HEALTH AND HEALTH DISPARITIES

OPDIV: NIH

AWARD CLASS: COOPERATIVE AGREEMENT

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

PERIOD OF PERFORMANCE START DATE: 01/01/2022

PERIOD OF PERFORMANCE END DATE: 11/30/2023

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