Genomic Epidemiology for Estimating Pathogen Burden in a Population.

Area of Science:

• Microbiology
• Epidemiology
• Genomics

Background:

• Genomics plays a crucial role in modern outbreak response and pathogen surveillance.
• The field has advanced into the era of pathogen intelligence, utilizing genomic data for public health.
• Traditional methods for estimating pathogen burden often relied on unreliable data.

Purpose of the Study:

• To highlight the expanded role of genomics in pathogen surveillance and outbreak response.
• To introduce the concept and utility of pathogen intelligence.
• To demonstrate how pathogen genomics can improve the estimation of pathogen burden.

Main Methods:

• Leveraging genomic surveillance for the detection and monitoring of pathogens.
• Analyzing genomic diversity to estimate pathogen burden in populations and environments.
• Utilizing sequencing of a small percentage of cases for burden estimation.

Main Results:

• Genomic surveillance enables the detection of novel pathogens, case clusters, and key markers (virulence, antimicrobial resistance, immune escape).
• Pathogen genomic diversity can be used to estimate total pathogen burden, overcoming limitations of previous data.
• Accurate pathogen burden estimation is achievable even when sequencing a small fraction of cases.

Conclusions:

• Genomic surveillance is a powerful tool for real-time pathogen intelligence and outbreak management.
• Pathogen genomics offers a more reliable method for estimating disease burden.
• Multidisciplinary collaboration is essential for advanced genomic epidemiology and actionable intelligence.