The future of disease surveillance: Investing in genomic intelligence

Publication: National investment case development for pathogen genomics

The COVID-19 pandemic highlighted the value of genomic surveillance, which refers to the tracking of pathogens based on their genetic makeup. Genetic information is a critical new tool to enable rapid and accurate detection of emerging threats, track mutations among existing viral or bacterial pathogens and better understand whether interventions are effective. But as the world moves beyond the pandemic, how do we ensure that this capacity is sustained and strengthened in the long-term?

A new paper by Assistant Professor Khoo Yoong Khean et al. from the Duke-NUS Centre for Outbreak Preparedness explores these challenges, emphasising the need for continued investments in genomics that extend beyond a single virus.


"Investments in pathogen genomics can yield public health, clinical and commercial benefits even in settings with limited resources."
Khoo et al., 2025
(Cell Genomics)

While genomic surveillance can play a crucial role in detecting and responding to diseases from influenza to antimicrobial-resistant bacteria, making the case for these investments is not always straightforward.

Complex considerations include rapidly evolving sequencing technologies, varying disease burdens across countries and the challenge of measuring long-term benefits. To help navigate these factors, the authors advocate for a framework that links genomic surveillance to public health priorities using a cost-sensitive approach that can provide real-time and actionable information to decision makers.

This framework aligns with the World Health Organization’s global genomic surveillance strategy, offering an approach for countries to integrate pathogen genomics into national surveillance programmes. Find out more about the authors’ proposed stepwise approach – understanding system requirements, prioritising pathogens, assessing public health benefits and ensuring financial sustainability – in their just released paper in Cell Genomics here.

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