Global solidarity in genomic surveillance improves early detection of acute respiratory virus threats
Year: 2026
Type: article
Abstract: As genomic surveillance is key to detecting novel respiratory viruses or variants, the highly unequal global distribution of respiratory virus sequencing infrastructure raises concerns about preparedness for future threats. Using mathematical models and global epidemic simulations, we demonstrate that attaining a global minimum sequencing capacity of two sequences per million people per week at fortnightly sequencing regularity could reduce the time to first detection of novel respiratory (variant) viruses by weeks to months compared to global sequencing efforts during the COVID-19 pandemic, even with a substantially reduced number of viruses sequenced globally. Establishing this minimum global capacity could increase the time between the virus’ first global detection and the first domestic case in all countries, universally improving prospects for mitigation of potential public health impacts. Importantly, these benefits cannot be attained by siloed expansion in countries that already possess strong capacity. Our results show that operationalizing global health solidarity is key to guiding investment in health security. Respiratory virus genomic surveillance output is unevenly distributed globally. Here, the authors show that addressing this imbalance could substantially reduce the time to first detection of novel (variant) viruses, enhancing surveillance effectiveness and efficiency.
Source: Nature Communications
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $6,990
Funders: ZonMw, H2020 European Research Council
OpenAlex ID: W7123542202
