Neftaly: Developing Real-Time Biomarker Surveillance Systems
Introduction
In today’s rapidly changing health landscape, early detection and rapid response are essential to preventing disease spread and improving public health outcomes. Real-time biomarker surveillance systems offer a powerful tool to do just that—by providing immediate, actionable insights into population health trends, emerging threats, and treatment effectiveness.
At Neftaly, we are committed to supporting countries in the design, implementation, and optimization of real-time biomarker surveillance systems that can drive smarter health responses and build stronger, more resilient health systems.
What Is Real-Time Biomarker Surveillance?
Real-time biomarker surveillance is the continuous or near-instant collection, analysis, and reporting of biological markers from populations. It integrates clinical testing, digital health tools, and health information systems to:
- Monitor disease outbreaks as they emerge
- Track treatment outcomes and public health interventions
- Detect shifts in population health (e.g., malnutrition, chronic disease trends)
- Support predictive modeling and resource planning
Benefits of Real-Time Biomarker Surveillance
- Faster public health response: Detect outbreaks or system stress early (e.g., sudden rise in inflammatory markers, infectious disease markers)
- Precision planning: Allocate resources based on actual health needs and trends
- Improved monitoring & evaluation: Track program effectiveness through objective, biological data
- Stronger equity and access: Identify gaps in testing, diagnosis, and care in underserved populations
Key Components of a Real-Time Biomarker Surveillance System
1. Point-of-Care and Mobile Diagnostics
- Deploy rapid diagnostic tests (RDTs), biosensors, or portable lab devices at the community level
- Enable on-the-spot testing and immediate digital reporting to national databases
2. Digital Data Platforms
- Develop mobile apps and digital tools for real-time data entry and visualization
- Use cloud-based systems to allow instant access by health authorities and stakeholders
3. Integrated Health Information Systems
- Link biomarker data with existing health information systems (DHIS2, EMRs, laboratory networks)
- Ensure interoperability and standardized coding for biomarkers
4. Analytics and Artificial Intelligence
- Use AI and machine learning to detect anomalies, forecast trends, and support policy decisions
- Automate alerts for health authorities based on risk thresholds
5. Training and Workforce Development
- Build the capacity of lab technicians, data clerks, and surveillance officers to use real-time systems effectively
- Include training on data ethics, quality control, and interpretation
6. Community Engagement and Trust Building
- Involve communities in data collection and feedback loops
- Ensure transparency and cultural sensitivity in how biomarker data is gathered and used
Neftaly’s Support for Real-Time Surveillance Systems
Neftaly provides end-to-end support to governments and partners through:
- System design and implementation planning
- Procurement guidance for diagnostics and digital tools
- Capacity-building programs for health workers and IT teams
- Technical support for integrating biomarker data into national health systems
- Monitoring and evaluation frameworks to assess system performance and impact
Real-World Applications
- Infectious Disease Surveillance: Monitoring real-time viral load or antigen levels during epidemics (e.g., COVID-19, HIV, TB)
- Maternal and Child Health: Using hemoglobin, iron, or inflammatory markers to detect complications early
- Non-Communicable Diseases: Tracking biomarkers like blood sugar, cholesterol, or kidney function in chronic disease management
- Nutrition and Environmental Health: Monitoring biomarkers for micronutrient deficiencies or toxin exposure
Conclusion
Real-time biomarker surveillance is not just a technical upgrade—it’s a transformational shift in how health systems detect risk, plan interventions, and save lives. By combining advanced diagnostics with digital tools and strategic policy design, countries can move from reactive care to proactive, data-driven public health leadership.


