Application of a mobile health data platform for public health surveillance: A case study in stress monitoring and prediction.

ABSTRACT:

Background

Public health surveillance involves the collection, analysis and dissemination of data to improve population health. The main sources of data for public health decision-making are surveys, typically comprised of self-report which may be subject to biases, costs and delays. To complement subjective data, objective measures from sensors could potentially be used. Specifically, advancements in personal mobile and wearable technologies enable the collection of real-time and continuous health data.

Objective

In this context, the goal of this work is to apply a mobile health platform (MHP) that extracts health data from the Apple Health repository to collect data in daily-life scenarios and use it for the prediction of stress, a major public health issue.

Methods

SUBMITTER: Velmovitsky PE 

PROVIDER: S-EPMC11394344 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature