IdentifyingCOVID-19vaccinedesertsusingMachineLearning and GeospatialAnalyses to target Community -engaged testing for vulnerableruralpopulations to preventlocalizedoutbreaks
Project Number1U01MD017419-01
Former Number1U01MH129892-01
Contact PI/Project LeaderHENDRICKS, BRIAN Other PIs
Awardee OrganizationWEST VIRGINIA UNIVERSITY
Description
Abstract Text
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 ruralpopulations, 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 localizedoutbreaks 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 vaccinedesertsusing overall vaccination rate and the change in vaccine uptake over a two-week period. Machinelearning 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 vaccinedeserts 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 vaccinedeserts. 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.
Public Health Relevance Statement
PROJECT NARRATIVE
There is an urgency to address decreased testing, in presence of a Covid-19vaccine, particularly for
communities with lower vaccine uptake which are highly vulnerable to persistent localized micro-outbreaks and
subsequently higher Covid-19 associated morbidity and mortality. This proposal utilizes machinelearning with
time series modeling and geospatial methodologies to identify communities with high Covid-19 transmissibility
with lower vaccine uptake. We will engage these communities by implementing a novel community-engagedtesting delivery model which leverages deep connections to place, common to persons living in Appalachia.
Furthermore, we build strong connections with local first responders to dynamically tailor testing activities and
to establish a grass roots network to conduct future disease screening studies in vulnerableruralpopulations.
National Institute on Minority Health and Health Disparities
CFDA Code
310
DUNS Number
191510239
UEI
M7PNRH24BBM8
Project Start Date
01-January-2022
Project End Date
30-November-2023
Budget Start Date
01-January-2022
Budget End Date
30-November-2022
Project Funding Information for 2022
Total Funding
$1,015,320
Direct Costs
$667,974
Indirect Costs
$347,346
Year
Funding IC
FY Total Cost by IC
2022
NIH Office of the Director
$1,015,320
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 1U01MD017419-01
Publications
Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
No Publications available for 1U01MD017419-01
Patents
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Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
No Outcomes available for 1U01MD017419-01
Clinical Studies
No Clinical Studies information available for 1U01MD017419-01
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History
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Similar Projects
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