Back to projects
BioFire Syndromic Trends

BioFire Syndromic Trends

Forest Altherr / September 21, 2025

SyndromicTrends.com is a comprehensive data visualization platform that displays trends in infectious pathogen detection rates across the United States. The platform focuses on syndromic diseases, particularly respiratory and gastrointestinal illnesses, providing healthcare professionals and the community with real-time insights into pathogen activity patterns.

Features

  • Real-Time Data Visualization: Interactive stacked area charts showing pathogen detection rates over the previous two years
  • Multi-Pathogen Support: Tracks 8 major respiratory pathogen groups including Adenovirus, Coronavirus, Influenza A/B, and RSV
  • HIPAA-Compliant Data: All patient data is anonymized and aggregated while maintaining privacy compliance
  • Interactive Filtering: Users can filter by specific pathogen groups and individual pathogens
  • Three-Week Centered Detection: Uses sophisticated statistical methods for accurate trend analysis

Pathogen Coverage

The platform monitors detection rates for:

  • Adenovirus: General adenovirus detection
  • Bacteria: Including Bordetella parapertussis, Bordetella pertussis, Chlamydia pneumoniae, and Mycoplasma pneumoniae
  • Coronavirus: Multiple strains including 229E, HKU1, NL63, OC43, and SARS-CoV-2
  • Influenza A: Various subtypes including H1, H1-2009, and H3
  • Influenza B: General influenza B detection
  • Human Metapneumovirus: Complete metapneumovirus tracking
  • Human Rhinovirus/Enterovirus: Combined detection rates
  • Parainfluenza: All four parainfluenza virus types (1-4)
  • Respiratory Syncytial Virus (RSV): Comprehensive RSV monitoring

Data Source & Methods

The platform leverages BIOFIRE®'s clinical diagnostic systems through their data aggregating program, BIOFIRE® Syndromic Trends. Data collection involves:

  • BIOFIRE® FILMARRAY® Systems: Advanced diagnostic technology for pathogen-specific nucleic acid detection
  • Near Real-Time Export: Laboratory results are exported and processed in near real-time
  • Privacy Protection: All protected health information is removed, ensuring HIPAA compliance
  • Statistical Analysis: Three-week centered detection information calculates accurate pathogen detection rates

Impact & Applications

This platform serves as a critical tool for:

  • Healthcare Professionals: Informed decision-making based on current pathogen trends
  • Public Health Monitoring: Community awareness of infectious disease activity
  • Research Applications: Supporting epidemiological studies and trend analysis
  • Clinical Decision Support: Real-time data to guide diagnostic and treatment strategies

Recent Publications

The project has contributed to scientific literature, including the publication "Automated Real-Time Collection of Pathogen-Specific Diagnostic Data: Syndromic Infectious Disease Epidemiology," demonstrating the platform's value in advancing infectious disease surveillance and research.