Evidence map›Paper›PMID 36375966›Full record

ArticleJournal of environmental sciences (China)2023

Number of COVID-19 cases required in a population to detect SARS-CoV-2 RNA in wastewater in the province of Alberta, Canada: Sensitivity assessment.

Qiaozhi Li, Bonita E Lee, Tiejun Gao, Yuanyuan Qiu, Erik Ellehoj, Jiaao Yu, Mathew Diggle, Graham Tipples, Rasha Maal-Bared, Deena Hinshaw and 5 more

Open access · greenAbstract read
In one paragraph

Article in Journal of environmental sciences (China), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  10. 20-Month monitoring of SARS-CoV-2 in wastewater of Curitiba, in Southern Brazil.Environmental science and pollution research international · 2023
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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

15 authors at 3 institutions in 2 countries.

Qiaozhi LiSchool of Public Health, University of Alberta, Edmonton, AB T6G 2R3, Canada.
Bonita E LeeDepartment of Pediatrics, University of Alberta, Edmonton, AB T6G 1C9, Canada.
Tiejun GaoDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2B7, Canada.
Yuanyuan QiuDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2B7, Canada.
Erik EllehojUniversity of Alberta Central Receiving, Edmonton, Alberta, T6G 2R3, Canada.
Jiaao YuDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2B7, Canada.
Mathew DiggleProvincial Laboratory for Public Health, Edmonton, Alberta, Canada.
Graham TipplesProvincial Laboratory for Public Health, Edmonton, Alberta, Canada.
Rasha Maal-BaredEPCOR, Edmonton, AB T5H 0E8, Canada.
Deena HinshawDepartment of Medicine, University of Alberta, Edmonton, AB T6G 2G3, Canada.
Christopher SikoraDepartment of Medicine, University of Alberta, Edmonton, AB T6G 2G3, Canada.
Nicholas J AshboltFaculty of Science and Engineering, Southern Cross University, East Lismore NSW 2480, Australia.
James TalbotDepartment of Medicine, University of Alberta, Edmonton, AB T6G 2G3, Canada.
Steve E HrudeyDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2B7, Canada.
Xiaoli PangDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2B7, Canada; Provincial Laboratory for Public Health, Edmonton, Alberta, Canada. Electronic address: xiao-li.pang@albertaprecisionlabs.ca.
University of Alberta · CAProvincial Laboratory of Public Health · CASouthern Cross University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With a unique and large size of testing results of 1,842 samples collected from 12 wastewater treatment plants (WWTP) for 14 months through from low to high prevalence of COVID-19, the sensitivity of RT-qPCR detection of SARS-CoV-2 RNA in wastewater that correspond to the communities was computed by using Probit analysis. This study determined the number of new COVID-19 cases per 100,000 population required to detect SARS-CoV-2 RNA in wastewater at defined probabilities and provided an evidence-based framework of wastewater-based epidemiology surveillance (WBE). Input data were positive and negative test results of SARS-CoV-2 RNA in wastewater samples and the corresponding new COVID-19 case rates per 100,000 population served by each WWTP. The analyses determined that RT-qPCR-based SARS-CoV-2 RNA detection threshold at 50%, 80% and 99% probability required a median of 8 (range: 4-19), 18 (9-43), and 38 (17-97) of new COVID-19 cases /100,000, respectively. Namely, the positive detection rate at 50%, 80% and 99% probability were 0.01%, 0.02%, and 0.04% averagely for new cases in the population. This study improves understanding of the performance of WBE SARS-CoV-2 RNA detection using the large datasets and prolonged study period. Estimated COVID-19 burden at a community level that would result in a positive detection of SARS-CoV-2 in wastewater is critical to support WBE application as a supplementary warning/monitoring system for COVID-19 prevention and control.

Indexed as

COVID-19AlbertaHumansRNA, ViralSARS-CoV-2WastewaterRNA, ViralWastewaterCOVID-19 casesDetection sensitivityProbabilityProbit analysisSARS-CoV-2Wastewater

Identifiers

PMID36375966
PMCPMC9068596
OpenAlexW4229054620

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.