# Connecting the Dots: HIV, COVID-19, and Structural Racism in Gender Minority Women

> **NIH NIH R01** · UNIV OF NORTH CAROLINA CHAPEL HILL · 2021 · $164,194

## Abstract

Project Summary/Abstract
Transgender women, particularly Black and Latina transgender women living with HIV, are
particularly vulnerable to the socioeconomic and psychosocial impacts of the COVID-19
pandemic. However, data are lacking on how the intersection of HIV, COVID-19, and structural
racism affect the physical health and psychosocial outcomes among transgender women.
Understanding these relationships and identifying factors that may modify them are important
steps towards advancing health equity. This study combines and supplements data from
existing NIH-funded prospective studies with transgender women (with and without HIV) to
assess longitudinal relationships between HIV and COVID-19 disease experiences and to
examine associations between structural racism, HIV, and pandemic-related health inequities
among transgender women. This innovative study will analyze data from 450 transgender
women to assess health outcomes along lines of race/ethnicity, HIV status, and technology
access. This innovative research will provide novel information that can be used to guide public
health efforts to reduce health disparities.

## Key facts

- **NIH application ID:** 10452141
- **Project number:** 3R01MD013498-05S1
- **Recipient organization:** UNIV OF NORTH CAROLINA CHAPEL HILL
- **Principal Investigator:** TONIA C POTEAT
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $164,194
- **Award type:** 3
- **Project period:** 2018-09-01 → 2023-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10452141

## Citation

> US National Institutes of Health, RePORTER application 10452141, Connecting the Dots: HIV, COVID-19, and Structural Racism in Gender Minority Women (3R01MD013498-05S1). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10452141. Licensed CC0.

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