Evidence map›Paper›PMID 37061316›Full record

ReviewThe Lancet. Global health2023

A global aircraft-based wastewater genomic surveillance network for early warning of future pandemics.

Jiaying Li, Ian Hosegood, David Powell, Ben Tscharke, Jenny Lawler, Kevin V Thomas, Jochen F Mueller

Abstract readReview
In one paragraph

Review in The Lancet. Global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jiaying LiQueensland Alliance for Environmental Health Sciences, The University of Queensland, Brisbane, QLD, Australia. Electronic address: jiaying.li@uq.edu.au.
Ian HosegoodQantas Airways, Mascot, NSW, Australia.
David PowellInternational Air Transport Association, Geneva, Switzerland.
Ben TscharkeQueensland Alliance for Environmental Health Sciences, The University of Queensland, Brisbane, QLD, Australia.
Jenny LawlerQatar Environment and Energy Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Kevin V ThomasQueensland Alliance for Environmental Health Sciences, The University of Queensland, Brisbane, QLD, Australia.
Jochen F MuellerQueensland Alliance for Environmental Health Sciences, The University of Queensland, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19WastewaterAircraftGenomicsHumansPandemicsSARS-CoV-2TravelWastewater-Based Epidemiological MonitoringWastewater

Identifiers

PMID37061316
PMCPMC10101754

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.