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A global aircraft-based wastewater genomic surveillance network for early warning of future pandemics
International airports can have a key role in screening, detecting, and mitigating cross-border transmission of SARS-CoV-2 and potentially other infectious diseases. With aircraft passengers representing a subpopulation of a country or region, aircraft-based wastewater surveillance can be a promisin...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101754/ https://www.ncbi.nlm.nih.gov/pubmed/37061316 http://dx.doi.org/10.1016/S2214-109X(23)00129-8 |
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author | Li, Jiaying Hosegood, Ian Powell, David Tscharke, Ben Lawler, Jenny Thomas, Kevin V Mueller, Jochen F |
author_facet | Li, Jiaying Hosegood, Ian Powell, David Tscharke, Ben Lawler, Jenny Thomas, Kevin V Mueller, Jochen F |
author_sort | Li, Jiaying |
collection | PubMed |
description | International airports can have a key role in screening, detecting, and mitigating cross-border transmission of SARS-CoV-2 and potentially other infectious diseases. With aircraft passengers representing a subpopulation of a country or region, aircraft-based wastewater surveillance can be a promising approach to effectively identifying emerging viruses, tracing their evolution, and mapping global spread with international flights. Therefore, we propose the development of a global aircraft-based wastewater genomic surveillance network, with the busiest international airports as central nodes and continuing air travel journeys as vectors. This surveillance programme requires routinely collecting aircraft wastewater samples for microbiological analysis and sequencing and linking the resulting data with associated international air traffic information. With the creation of a strong international alliance between the airline industry and health authorities, this surveillance network will potentially complement public health systems with a true early warning ability to inform decision making for new variants and future global health risks. |
format | Online Article Text |
id | pubmed-10101754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101017542023-04-14 A global aircraft-based wastewater genomic surveillance network for early warning of future pandemics Li, Jiaying Hosegood, Ian Powell, David Tscharke, Ben Lawler, Jenny Thomas, Kevin V Mueller, Jochen F Lancet Glob Health Viewpoint International airports can have a key role in screening, detecting, and mitigating cross-border transmission of SARS-CoV-2 and potentially other infectious diseases. With aircraft passengers representing a subpopulation of a country or region, aircraft-based wastewater surveillance can be a promising approach to effectively identifying emerging viruses, tracing their evolution, and mapping global spread with international flights. Therefore, we propose the development of a global aircraft-based wastewater genomic surveillance network, with the busiest international airports as central nodes and continuing air travel journeys as vectors. This surveillance programme requires routinely collecting aircraft wastewater samples for microbiological analysis and sequencing and linking the resulting data with associated international air traffic information. With the creation of a strong international alliance between the airline industry and health authorities, this surveillance network will potentially complement public health systems with a true early warning ability to inform decision making for new variants and future global health risks. The Author(s). Published by Elsevier Ltd. 2023-05 2023-04-14 /pmc/articles/PMC10101754/ /pubmed/37061316 http://dx.doi.org/10.1016/S2214-109X(23)00129-8 Text en © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Viewpoint Li, Jiaying Hosegood, Ian Powell, David Tscharke, Ben Lawler, Jenny Thomas, Kevin V Mueller, Jochen F A global aircraft-based wastewater genomic surveillance network for early warning of future pandemics |
title | A global aircraft-based wastewater genomic surveillance network for early warning of future pandemics |
title_full | A global aircraft-based wastewater genomic surveillance network for early warning of future pandemics |
title_fullStr | A global aircraft-based wastewater genomic surveillance network for early warning of future pandemics |
title_full_unstemmed | A global aircraft-based wastewater genomic surveillance network for early warning of future pandemics |
title_short | A global aircraft-based wastewater genomic surveillance network for early warning of future pandemics |
title_sort | global aircraft-based wastewater genomic surveillance network for early warning of future pandemics |
topic | Viewpoint |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101754/ https://www.ncbi.nlm.nih.gov/pubmed/37061316 http://dx.doi.org/10.1016/S2214-109X(23)00129-8 |
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