# Reaching Communities through the Design of Information Visualizations (ReDIVis) Toolbox to Address COVID-19 Vaccine Hesitancy and Uptake.

> **NIH NIH P30** · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2021 · $284,499

## Abstract

The alarming disproportionate impact of the COVID-19 pandemic on underserved as well as medically and
socially vulnerable populations requires generating new knowledge to help mitigate its effects. We will address
existing knowledge gaps in two specific aspects of COVID-19 mitigation strategies – return of SARS-CoV-2
test results and COVID-19 vaccination - through synergistic application of community-engaged research and
novel informatics approaches in collaboration with our community partners: the Association to Benefit Children,
Project New Yorker, and the Chinese American Planning Council. In addition, for this Supplement, which builds
upon our RADx-UP Phase 1 project, Reaching Communities through the Design of Information Visualizations
for Returning COVID-19 Results (ReDIVis Toolbox: RCR), we have formed a strategic partnership with the
New York City Community Engagement Research Alliance (NYCEAL) Against COVID-19 Disparities to
leverage the evidence-informed communication resources of CEAL. The overall goal of Reaching Communities
through the Design of Information Visualizations Toolbox (ReDIVis Toolbox: Vaccination) is to decrease health
disparities related to COVID-19 vaccination in underserved and vulnerable populations by enabling widespread
use of culturally congruent and health literate infographics to decrease vaccine hesitancy and improve vaccine
uptake in a manner that is comprehensible, informs decision making, and motivates appropriate behaviors. Our
specific aims build upon: (a) our accomplishments to date in our RADx-UP Phase 1 project; (b) the rich
resources of the Visualization Design Studio of the Precision in Symptom Self-Management (PriSSM) Center,
the qualifying grant for this emergency competitive revision in response to NOT-OD-21-101; and (c)
partnership with NYCEAL through a subcontract with New York University. We will use a mixed-methods
design to achieve the following specific aims: (1) Advance understanding of the factors that influence
comprehension and use of the results of SARS-CoV-2 diagnostic and antibody testing, and COVID-19 vaccine
hesitancy and uptake in underserved and vulnerable populations; (2) Collaborate with underserved and
vulnerable populations to design infographics for returning the results of SARS-CoV-2 diagnostic and antibody
testing, and for addressing vaccine hesitancy and uptake in a format that maximizes comprehension, informs
decision making, and motivates action; and (3) Develop, implement, evaluate, and disseminate the ReDIVis
Toolbox to create infographics for returning the results of SARS-CoV-2 diagnostic and antibody testing and
addressing vaccine hesitancy and uptake. ReDIVis Toolbox: Vaccination directly responds to multiple areas of
interest including strategies to communicate culturally and linguistically appropriate information about COVID-
19 vaccines to foster vaccine confidence and acceptance, and dissemination and communication strategies to
amplify or extend the reach of the...

## Key facts

- **NIH application ID:** 10403763
- **Project number:** 3P30NR016587-05S2
- **Recipient organization:** COLUMBIA UNIVERSITY HEALTH SCIENCES
- **Principal Investigator:** Adriana Arcia
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $284,499
- **Award type:** 3
- **Project period:** 2021-08-10 → 2023-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10403763

## Citation

> US National Institutes of Health, RePORTER application 10403763, Reaching Communities through the Design of Information Visualizations (ReDIVis) Toolbox to Address COVID-19 Vaccine Hesitancy and Uptake. (3P30NR016587-05S2). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10403763. Licensed CC0.

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