# DIGITAL HEALTH SOLUTIONS FOR COVID-19: COVIDSEEKER AND COVID-19 CITIZEN SCIENCE

> **NIH NIH N01** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2020 · $459,748

## Abstract

The goal of this proposal is to integrate a retrospectively-determined geolocation digital program into an established digital infrastructure housed within the NIH-funded Eureka platform to enroll SARS-CoV-2 positive and negative individuals. The solution also leverages the ongoing COVID-19 Citizen Science Study cohort both in-person and remotely to test and implement existing technology to enhance readily accessible contact tracing methods and identify “hot spots” of transmission of SARS-CoV-2. The tools are designed to alert users regarding overlap with SARS-CoV-2 infected individuals, identifying businesses that were visited by someone who later tested positive for COVID-19, and working with those businesses and public health departments on strategies to reduce the spread of the virus. Data collected under this project will be deidentified and securely transmitted to an NIH data hub.

## Key facts

- **NIH application ID:** 10274151
- **Project number:** 75N91020C00039-0-9999-1
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** GREGORY MARCUS
- **Activity code:** N01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $459,748
- **Award type:** —
- **Project period:** 2020-09-14 → 2021-03-15

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10274151

## Citation

> US National Institutes of Health, RePORTER application 10274151, DIGITAL HEALTH SOLUTIONS FOR COVID-19: COVIDSEEKER AND COVID-19 CITIZEN SCIENCE (75N91020C00039-0-9999-1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10274151. Licensed CC0.

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