Introduction
DISEASE, VIRUS
A key goal of prevention science is to support public health by delivering rigorously validated evidence-based interventions. However, a key problem of practice is promoting access to these interventions (Gottfredson et al., In the current study, we sought to identify implementation strategies to reach Latinx communities with health and health behavior interventions to overcome barriers to access. We present a new strategy to overcome this barrier by utilizing algorithmic methods from the field of operations research as a first step to inform a community-driven process. Specifically, we aim to address the problem of selecting locations for a public health service to maximize access by Hispanic/Latin/o/a/x residents of non-urban areas. The health services provided were free testing for the virus SARS-CoV-2, which causes the disease COVID-19, and a health education intervention delivered on-site. We recognize that individuals differ on self-identification, we use the term Latinx throughout for parsimony and to be more gender-inclusive of this widely diverse ethnic population (María Del Río-González, 