Early detection of SARS-CoV-2 variants using genomic surveillance: insights from aircraft wastewater and nasal swabs at Kigali International Airport, Rwanda
- Caryn Tyler
- Jul 8
- 1 min read
Updated: Jul 9
Abstract
Objectives: The growing threat of emerging infectious diseases necessitates proactive genomic surveillance, particularly, in regions with limited resources and low levels of existing reporting. This study highlights the implementation of a comprehensive genomic surveillance program at the Kigali International Airport and explores the utility of a dual-sample strategy leveraging environmental aircraft wastewater and pooled nasal swab sample types for comprehensive detection and characterization of SARS-CoV-2 lineages being imported into Rwanda.
Methods: Using a combined pooled nasal swab and aircraft wastewater sampling approach resulted in complementary insights in terms of geographic coverage, positivity, and variant characterization. Results: Mutational profiling in source pooled nasal swabs and aircraft wastewater sample data revealed dynamic shifts in mutation prevalence that corresponded with global patterns. Emerging variant JN.1 was detected early in nasal swab data, demonstrating the power of using genomic surveillance as an early warning system. Conclusions: These results support the feasibility of pathogen surveillance in high-traffic settings and may help drive interest in expanding programs to include pathogens beyond SARS-CoV-2.
SKU # 44XXX
Misbah Gashegu, Raissa Muvunyi, Jean Pierre Musabyimana, Esperance Umumararungu, Laetitia Irankunda, Chantal Mutezemariya, Arlene Uwituze, Nelson Gahima, John Rwabuhihi, Jean Claude Mugisha, Ayman Ahmed, Noel Gahamanyi, Leon Mutesa, Cecilia A. Prator, Elizabeth A. Landis, Casandra W. Philipson, Nicole Bohme Carnegie, Albert Tuyishime, Isabelle Mukagatare, Noella Bigirimana, Claude Mambo Muvunyi,
Early detection of SARS-CoV-2 variants using genomic surveillance: insights from aircraft wastewater and nasal swabs at Kigali International Airport, Rwanda,
IJID Regions, Volume 16, 2025, 100678, ISSN 2772-7076,
https://doi.org/10.1016/j.ijregi.2025.100678. (https://www.sciencedirect.com/science/article/pii/S2772707625001134)
Comments