Wearable biomonitoring tools such as Oura rings and similar devices offer continuous physiological data that could improve detection of both chronic NCDs and infectious diseases. Although these tools are widely used in high income contexts, their potential applications in fragile and underserved settings have received limited attention. This post outlines the opportunity space, key uncertainties, and practical next steps for exploration. It has been inspired by recent large producers of biomonitoring tools moving towards more research in population health, particularly in LMICs.

The Problem

Early detection of cardiometabolic disease and infectious disease remains a major challenge in low resource and crisis affected settings. Health systems often rely on episodic facility based testing and symptomatic care. This creates long delays before diagnosis, which leads to missed prevention windows, higher treatment costs, and increased transmission risk.

Meanwhile, many risk factors are physiologically detectable before clinical presentation. Resting heart rate variability, overnight temperature patterns, sleep quality, and activity profiles all contain signatures associated with both early stage NCD progression and acute infection.

Why This Matters

Wearables could offer several advantages:

• Continuous passive data collection that does not require clinical encounters
• Non invasive monitoring that can function in unstable or humanitarian settings
• Potential for low cost hardware at scale as sensors become cheaper
• Opportunities for integration with community health programs and digital health platforms
• A unified data stream that supports both chronic disease screening and outbreak early warning

Although algorithms trained on high income populations may not generalize, there is early evidence that temperature deviation and heart rate metrics can detect infection up to twenty four hours before symptoms. Similar physiological markers correlate with elevated cardiovascular risk.

If validated for use in resource constrained populations, wearables could augment existing surveillance systems and support earlier engagement with NCD prevention programs.

Key Uncertainties

• Accuracy and calibration needs for diverse populations
• Device durability, charging requirements, and data connectivity
• Ethical and privacy considerations for continuous monitoring
• Cost effectiveness compared with other detection pathways
• Feasibility of integrating data into existing health system workflows

Next Steps

Several practical steps could clarify the value of this space:

1. Landscape review of existing wearable based detection algorithms for infectious disease and early NCD markers, with attention to generalizability.
2. Feasibility studies in low resource settings to assess durability, data quality, and user acceptability of low cost sensors.
3. Prototype pilots with community health workers to explore integration with current screening and referral systems.
4. Cost modeling to determine thresholds at which wearable enabled early detection outperforms current approaches.
5. Ethical assessment to define acceptable use cases, consent models, and data safeguards.

If the evidence proves promising, wearable biomonitoring could become an important complement to global health strategies for both chronic diseases and epidemic preparedness.

References

• Mishra T et al. (2020). Pre symptomatic detection of COVID 19 using smartwatch data. Nature Biomedical Engineering.
• Smarr B et al. (2020). Feasibility of continuous temperature monitoring for early pregnancy and infection detection. Scientific Reports.
• Rahman SA et al. (2022). Wearable devices for cardiometabolic risk assessment. Journal of Medical Systems.
• WHO. (2023). Digital Health Guidelines.
• Kwon S et al. (2021). Generalizability challenges in physiological data algorithms for global health applications. Digital Medicine