ClinicalTrials.gov
public full text
Public Domain
The DETECT(Digital Engagement & Tracking for Early Control, & Treatment) Study
Develop an app-based nationwide study of individuals who routinely use a smartwatch or other wearable activity tracker to determine if individualized tracking of changes in heart rate, activity and sleep can provide an early indication of influenza-like illnesses (ILI) and possibly other viral infections.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- SALGINTR: Development and Evaluation of a Digital Participatory Surveillance System to Monitor Influenza-like Illness in Türkiye Based on Self-Reported Data from A Physician Cohort#923956
- Digital Gait Analysis in the Home Environment of Patients With Multiple Sclerosis#804658
- TRACKING STEP COUNTS IN ADOLESCENTS WITH JUVENILE IDIOPATHIC ARTHRITIS AND FAMILIAL MEDITERRANEAN FEVER: A 3-MONTH M-HEALTH MONITORING STUDY USING SMARTWATCHES#426344
- Optimisation and Evaluation of a Just-in-time Adaptive Intervention (JITAI) for Sleep and Circadian Problems (Phase III)#849660
- Assessment of Wearable Sensors During Experimental Human Influenza Infection (Sigma Plus)#905887
Record · ID 1048023
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive