Collaborative community networks to optimize implementation of low barrier COVID-19 testing efforts among diverse Latinx populations in Northern California

University Of California, San Francisco, San Francisco CA

Investigators

Linked publications, trials & patents

Abstract

Modified Project Summary/Abstract Section The health and economic effects of the COVID-19 pandemic in the United States are staggering, and persons of color in the US ? already heavily impacted by structural inequities ? bear a disproportionate burden of COVID-19 disease and death. Testing is a cornerstone of stopping the spread of the virus, yet in the US testing rates remain far below target levels and current strategies are failing to reach the communities most affected. In California, despite initial success in limiting spread with the earliest shelter-in-place mandate in the nation, even partial attempts at easing restrictions have resulted in a surge in new cases. Currently, California has the highest case count in the U.S and the pandemic is taking a disproportionate toll on Latinx individuals, many of whom are essential workers. An incomplete understanding of testing barriers and optimal strategies to mitigate these barriers among Latinx persons hampers the design of the scalable strategies needed to accelerate equity in the reach, uptake, and preventative impact of SARS CoV-2 testing throughout the US. In this proposal, our objective is to evaluate community-engaged approaches to scale low-barrier COVID-19 testing for Latinx communities and evaluate retesting strategies for priority groups in Latinx communities at increased risk of infection. We will draw upon our experience with Latinx community-engaged mass SARS-CoV2 testing campaigns, expertise in community-based HIV testing strategies informed by behavioral economics and the success of San Francisco?s Latinx Task Force for COVID-19 model. In Aim 1, we will evaluate implementation of a Latino Task Force (LTF) collaborative network across 3 counties in Northern California (Marin, Merced and San Francisco), adapted from San Francisco?s LTF model to promote locally-adapted COVID-19 test and respond initiatives in two majority-Latinx communities: one suburban (Marin) and one rural (Merced). In Aim 2, we will determine the population-level prevalence of active (PCR+) SARS-CoV-2 infection, most at-risk subgroups, and attitudes and preferences of community members regarding COVID-19 testing services during baseline mass testing campaigns at the Marin and Merced sites. The campaigns will offer testing to all community residents regardless of symptoms at easily accessible venues, implemented in partnership with each site?s LTF. In Aim 3, we will evaluate implementation of three, complementary community-responsive COVID-19 testing strategies, delivered by local community health workers (?promotoras?) and tailored to the needs of the two study communities post-COVID-19 vaccine scale-up in Northern California. These three strategies include a) community-based, drop-in testing sites outside of daytime work hours, b) as needed testing responsive to community member needs (outside of drop-in testing) and c) spot surveillance provision for local businesses and organizations. The proposed research will provide critical data to inform scalable testing strategies, reduce transmission, decrease health disparities, and set the stage for future, biomedical interventions, such as vaccines.