Acceptance of a computer vision facilitated protocol to measure adherence to face mask use: a single-site, observational cohort study among hospital staff.

ABSTRACT:

Objectives

Mask adherence continues to be a critical public health measure to prevent transmission of aerosol pathogens, such as SARS-CoV-2. We aimed to develop and deploy a computer vision algorithm to provide real-time feedback of mask wearing among staff in a hospital.

Design

Single-site, observational cohort study.

Setting

An urban, academic hospital in Boston, Massachusetts, USA.

Participants

We enrolled adult hospital staff entering the hospital at a key ingress point.

Interventions

Consenting participants entering the hospital were invited to experience the computer vision mask detection system. Key aspects of the detection algorithm and feedback were described to participants, who then completed a quantitative assessment to understand their perce

SUBMITTER: Chai PR 

PROVIDER: S-EPMC9742841 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature