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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.
  • Li J; Queensland Alliance for Environmental Health Sciences, The University of Queensland, Brisbane, QLD, Australia. Electronic address: jiaying.li@uq.edu.au.
  • Hosegood I; Qantas Airways, Mascot, NSW, Australia.
  • Powell D; International Air Transport Association, Geneva, Switzerland.
  • Tscharke B; Queensland Alliance for Environmental Health Sciences, The University of Queensland, Brisbane, QLD, Australia.
  • Lawler J; Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Thomas KV; Queensland Alliance for Environmental Health Sciences, The University of Queensland, Brisbane, QLD, Australia.
  • Mueller JF; Queensland Alliance for Environmental Health Sciences, The University of Queensland, Brisbane, QLD, Australia.
Lancet Glob Health ; 11(5): e791-e795, 2023 05.
Artículo en Inglés | MEDLINE | ID: covidwho-2298734
ABSTRACT
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.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Aguas Residuales / COVID-19 Tipo de estudio: Estudio observacional / Estudio pronóstico / Ensayo controlado aleatorizado Tópicos: Variantes Límite: Humanos Idioma: Inglés Revista: Lancet Glob Health Año: 2023 Tipo del documento: Artículo

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Aguas Residuales / COVID-19 Tipo de estudio: Estudio observacional / Estudio pronóstico / Ensayo controlado aleatorizado Tópicos: Variantes Límite: Humanos Idioma: Inglés Revista: Lancet Glob Health Año: 2023 Tipo del documento: Artículo