Evidence map›Paper›PMID 35694049›Full record

ReviewCurrent opinion in environmental science & health2022

Sewage surveillance for SARS-CoV-2: Molecular detection, quantification, and normalization factors.

Payal Mazumder, Siddhant Dash, Ryo Honda, Christian Sonne, Manish Kumar

Abstract readReview
In one paragraph

Review in Current opinion in environmental science & health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
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  7. Review
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  9. Simultaneous detection and quantification of multiple pathogen targets in wastewater.medRxiv : the preprint server for health sciences · 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

5 authors.

Payal MazumderSustainability Cluster, School of Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, 248007, India.
Siddhant DashDepartment of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, 781039, India.
Ryo HondaSchool of Geosciences and Civil Engineering, Kanazawa University, Kakumamachi, Kanazawa, Ishikawa, 920-1192, Japan.
Christian SonneDepartment of Ecoscience, Aarhus University, Roskilde, DK-4000, Denmark.
Manish KumarSustainability Cluster, School of Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, 248007, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in wastewater systems provides a primary indication of the coronavirus disease 2019 (COVID-19) spread throughout communities worldwide. Droplet digital polymerase chain reaction (dd-PCR) or reverse transcription-polymerase chain reaction (RT-PCR) administration of SARS-CoV-2 in wastewaters provides a reliable and efficient technology for gathering secondary local-level public health data. Often the accuracy of prevalence estimation is hampered by many methodological issues connected with wastewater surveillance. Still, more studies are needed to use and create efficient approaches for deciphering the actual SARS-CoV-2 indication from noise in the specimens/samples. Nearly 39-65% of positive patients and asymptomatic carriers expel the virus through their faeces however, only ∼6% of the infected hosts eject it through their urine. COVID-19 positive patients can shed the remnants of the SARS-CoV-2 RNA virus within the concentrations ∼10

Indexed as

dd-PCREpidemiologyRT-PCRSARS-CoV-1Wastewater-based surveillance

Identifiers

PMID35694049
PMCPMC9170178

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.