Exposure notification system activity as a leading indicator for SARS-COV-2 caseload forecasting.

ABSTRACT:

Purpose

Digital methods to augment traditional contact tracing approaches were developed and deployed globally during the COVID-19 pandemic. These "Exposure Notification (EN)" systems present new opportunities to support public health interventions. To date, there have been attempts to model the impact of such systems, yet no reports have explored the value of real-time system data for predictive epidemiological modeling.

Methods

We investigated the potential to short-term forecast COVID-19 caseloads using data from California's implementation of the Google Apple Exposure Notification (GAEN) platform, branded as CA Notify. CA Notify is a digital public health intervention leveraging resident's smartphones for anonymous EN. We extended a published statistical model that uses

SUBMITTER: Aronoff-Spencer E 

PROVIDER: S-EPMC10437830 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature