Reproducibility and implementation of a rapid, community-based COVID-19 “test and respond” model in low-income, majority-Latino communities in Northern California

4Citations
Citations of this article
19Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Objective To evaluate implementation of a community-engaged approach to scale up COVID-19 mass testing in low-income, majority-Latino communities. Methods In January 2021, we formed a community-academic “Latino COVID-19 Collaborative” with residents, leaders, and community-based organizations (CBOs) from majority-Latinx, low-income communities in three California counties (Marin/Merced/San Francisco). The collaborative met monthly to discuss barriers/facilitators for COVID-19 testing, and plan mass testing events informed by San Francisco’s Unidos en Salud “test and respond” model, offering community-based COVID-19 testing and post-test support in two US-census tracts: Canal (Marin) and Planada (Merced). We evaluated implementation using the RE-AIM framework. To further assess testing barriers, we surveyed a random sample of residents who did not attend the events. Results Fifty-five residents and CBO staff participated in the Latino collaborative. Leading facilitators identified to increase testing were extended hours of community-based testing and financial support during isolation. In March-April 2021, 1,217 people attended mass-testing events over 13 days: COVID-19 positivity was 3% and 1% in Canal and Planada, respectively. The RE-AIM evaluation found: census tract testing coverage of 4.2% and 6.3%, respectively; 90% of event attendees were Latino, 89% had household income

References Powered by Scopus

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Chamie, G., Prado, P., Oviedo, Y., Vizcaíno, T., Arechiga, C., Marson, K., … Marquez, C. (2022). Reproducibility and implementation of a rapid, community-based COVID-19 “test and respond” model in low-income, majority-Latino communities in Northern California. PLoS ONE, 17(10 October). https://doi.org/10.1371/journal.pone.0276257

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 5

71%

Lecturer / Post doc 2

29%

Readers' Discipline

Tooltip

Nursing and Health Professions 2

33%

Business, Management and Accounting 2

33%

Social Sciences 1

17%

Arts and Humanities 1

17%

Article Metrics

Tooltip
Social Media
Shares, Likes & Comments: 19

Save time finding and organizing research with Mendeley

Sign up for free