Evidence map›Paper›PMID 32942178›Full record

ArticleWater research2020

Making waves: Wastewater-based epidemiology for COVID-19 - approaches and challenges for surveillance and prediction.

David Polo, Marcos Quintela-Baluja, Alexander Corbishley, Davey L Jones, Andrew C Singer, David W Graham, Jesús L Romalde

Open access · hybridAbstract read
In one paragraph

Article in Water research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 163 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
163citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 2% of its field
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

163 citing papers in PubMed, 1 synthesis or guideline pooled it, 409 citations in OpenAlex.

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103 more citing papers are in PubMed but not listed here.

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 at 5 institutions in 3 countries.

David PoloDepartment of Microbiology and Parasitology, CIBUS-Facultade de Bioloxía & Institute CRETUS, Universidade de Santiago de Compostela, Santiago de Compostela, 15782, Spain. Electronic address: david.polo.montero@usc.es.
Marcos Quintela-BalujaSchool of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom.
Alexander CorbishleyThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, United Kingdom.
Davey L JonesEnvironment Centre Wales, Bangor University, Bangor, Gwynedd, LL57 2UW, United Kingdom; UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA 6009, Australia.
Andrew C SingerUK Centre for Ecology & Hydrology. Wallingford, Oxfordshire, OX10 8BB, United Kingdom.
David W GrahamSchool of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom.
Jesús L RomaldeDepartment of Microbiology and Parasitology, CIBUS-Facultade de Bioloxía & Institute CRETUS, Universidade de Santiago de Compostela, Santiago de Compostela, 15782, Spain. Electronic address: jesus.romalde@usc.es.
Newcastle University · GBUniversidade de Santiago de Compostela · ESBangor University · GBRoslin Institute · GBUK Centre for Ecology & Hydrology · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence of SARS-CoV-2 in the feces of infected patients and wastewater has drawn attention, not only to the possibility of fecal-oral transmission but also to the use of wastewater as an epidemiological tool. The COVID-19 pandemic has highlighted problems in evaluating the epidemiological scope of the disease using classical surveillance approaches, due to a lack of diagnostic capacity, and their application to only a small proportion of the population. As in previous pandemics, statistics, particularly the proportion of the population infected, are believed to be widely underestimated. Furthermore, analysis of only clinical samples cannot predict outbreaks in a timely manner or easily capture asymptomatic carriers. Threfore, community-scale surveillance, including wastewater-based epidemiology, can bridge the broader community and the clinic, becoming a valuable indirect epidemiological prediction tool for SARS-CoV-2 and other pandemic viruses. This article summarizes current knowledge and discusses the critical factors for implementing wastewater-based epidemiology of COVID-19.

Indexed as

BetacoronavirusCoronavirus InfectionsPandemicsPneumonia, ViralCOVID-19HumansSARS-CoV-2Wastewater-Based Epidemiological MonitoringCoronavirusCOVID-19Environmental monitoringSARS-CoV-2SewageWastewater-based epidemiology

Identifiers

PMID32942178
PMCPMC7480445
OpenAlexW3084086363

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.