Evidence map›Paper›PMID 35042077›Full record

ArticleWater research2022

Sensitivity of wastewater-based epidemiology for detection of SARS-CoV-2 RNA in a low prevalence setting.

Joanne Hewitt, Sam Trowsdale, Bridget A Armstrong, Joanne R Chapman, Kirsten M Carter, Dawn M Croucher, Cassandra R Trent, Rosemary E Sim, Brent J Gilpin

Abstract read
In one paragraph

Article in Water research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. Wastewater-based reproduction numbers and projections of COVID-19 cases in three areas in Japan, November 2021 to December 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
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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

9 authors.

Joanne HewittInstitute of Environmental Science and Research Ltd, 34 Kenepuru Drive, Porirua, 5240, New Zealand. Electronic address: joanne.hewitt@esr.cri.nz.
Sam TrowsdaleSchool of Environment, University of Auckland, 23 Symonds Street, Auckland, 1010, New Zealand.
Bridget A ArmstrongInstitute of Environmental Science and Research Ltd, 27 Creyke Road, Ilam, Christchurch 8041, New Zealand.
Joanne R ChapmanInstitute of Environmental Science and Research Ltd, 34 Kenepuru Drive, Porirua, 5240, New Zealand.
Kirsten M CarterInstitute of Environmental Science and Research Ltd, 34 Kenepuru Drive, Porirua, 5240, New Zealand.
Dawn M CroucherInstitute of Environmental Science and Research Ltd, 34 Kenepuru Drive, Porirua, 5240, New Zealand.
Cassandra R TrentWatercare Services Limited, 52 Aintree Ave, Airport Oaks, Auckland, New Zealand.
Rosemary E SimWatercare Services Limited, 52 Aintree Ave, Airport Oaks, Auckland, New Zealand.
Brent J GilpinInstitute of Environmental Science and Research Ltd, 27 Creyke Road, Ilam, Christchurch 8041, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assist public health responses to COVID-19, wastewater-based epidemiology (WBE) is being utilised internationally to monitor SARS-CoV-2 infections at the community level. However, questions remain regarding the sensitivity of WBE and its use in low prevalence settings. In this study, we estimated the total number of COVID-19 cases required for detection of SARS-CoV-2 RNA in wastewater. To do this, we leveraged a unique situation where, over a 4-month period, all symptomatic and asymptomatic cases, in a population of approximately 120,000, were precisely known and mainly located in a single managed isolation and quarantine facility (MIQF) building. From 9 July to 6 November 2020, 24-hr composite wastewater samples (n = 113) were collected daily from the sewer outside the MIQF, and from the municipal wastewater treatment plant (WWTP) located 5 km downstream. New daily COVID-19 cases at the MIQF ranged from 0 to 17, and for most of the study period there were no cases outside the MIQF identified. SARS-CoV-2 RNA was detected in 54.0% (61/113) at the WWTP, compared to 95.6% (108/113) at the MIQF. We used logistic regression to estimate the shedding of SARS-CoV-2 RNA into wastewater based on four infectious shedding models. With a total of 5 and 10 COVID-19 infectious cases per 100,000 population (0.005% and 0.01% prevalence) the predicated probability of SARS-CoV-2 RNA detection at the WWTP was estimated to be 28 and 41%, respectively. When a proportional shedding model was used, this increased to 58% and 87% for 5 and 10 cases, respectively. In other words, when 10 individuals were actively shedding SARS-CoV-2 RNA in a catchment of 100,000 individuals, there was a high likelihood of detecting viral RNA in wastewater. SARS-CoV-2 RNA detections at the WWTP were associated with increasing COVID-19 cases. Our results show that WBE provides a reliable and sensitive platform for detecting infections at the community scale, even when case prevalence is low, and can be of use as an early warning system for community outbreaks.

Indexed as

COVID-19RNA, ViralHumansPrevalenceSARS-CoV-2WastewaterWastewater-Based Epidemiological MonitoringRNA, ViralWastewaterCOVID-19New ZealandPEG precipitationRT-qPCRViral shedding

Identifiers

PMID35042077
PMCPMC8720482

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.