Monitoring multi-pathogens and SARS-CoV-2 variants in aircraft and airport wastewater
Tay, M.; Lee, B.; Ismail, M. H.; Yam, J.; Maliki, D.; Gin, K. Y.-H.; Chae, S.-R.; Ho, Z. J. M.; Teoh, Y. L.; Ng, L. C.; Wong, J. C. C.
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BackgroundAs global travel resumed in COVID-19 endemicity, the potential of aircraft wastewater monitoring to provide early warning of disease trends for SARS-CoV-2 variants and other infectious diseases, particularly at international air travel hubs, was recognized. We therefore assessed and compared the feasibility of testing wastewater from inbound aircraft and airport terminals for 18 pathogens including SARS-CoV-2 in Singapore, a popular travel hub in Asia. MethodsWastewater samples collected from inbound medium- and long-haul flights and airport terminals were tested for SARS-CoV-2. Next Generation Sequencing (NGS) was carried out on positive samples to identify SARS-CoV-2 variants. Airport and aircraft samples were further tested for 17 other pathogens through quantitative reverse transcription polymerase chain reaction (RT-qPCR). ResultsThe proportion of SARS-CoV-2-positive samples and the average virus load was higher for wastewater samples from aircraft as compared to airport terminals. Cross-correlation analyses indicated that viral load trends from airport wastewater led local COVID-19 case trends by two to five days. A total of ten variants (44 sub-lineages) were successfully identified from aircraft wastewater and airport terminals, and four variants of interest (VOIs) and one variant under monitoring (VUM) were detected in aircraft and airport wastewater 18-31 days prior to detection in local clinical cases. The detection of five respiratory and four enteric viruses in aircraft wastewater samples further underscores the potential to expand aircraft wastewater to monitoring pathogens beyond SARS-CoV-2. ConclusionOur findings demonstrate the feasibility of aircraft wastewater testing for monitoring infectious diseases threats, potentially detecting signals before clinical cases are reported. The triangulation of similar datapoints from aircraft wastewater of international travel nodes could therefore serve as a useful early warning system for global health threats.
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