Evidence map›Paper›PMID 35756040›Full record

ArticleFrontiers in microbiology2022

SARS-CoV-2 RNA in Wastewater Was Highly Correlated With the Number of COVID-19 Cases During the Fourth and Fifth Pandemic Wave in Kobe City, Japan.

Yoshihiko Tanimoto, Erika Ito, Sonoko Miyamoto, Ai Mori, Ryohei Nomoto, Noriko Nakanishi, Naohiro Oka, Takao Morimoto, Tomotada Iwamoto

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 9% 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, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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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 at 1 institution in 1 country.

Yoshihiko TanimotoDepartment of Infectious Diseases, Kobe Institute of Health, Kobe City, Japan.
Erika ItoDepartment of Infectious Diseases, Kobe Institute of Health, Kobe City, Japan.
Sonoko MiyamotoDepartment of Infectious Diseases, Kobe Institute of Health, Kobe City, Japan.
Ai MoriDepartment of Infectious Diseases, Kobe Institute of Health, Kobe City, Japan.
Ryohei NomotoDepartment of Infectious Diseases, Kobe Institute of Health, Kobe City, Japan.
Noriko NakanishiDepartment of Infectious Diseases, Kobe Institute of Health, Kobe City, Japan.
Naohiro OkaPlanning Division, Sewage Works Department, Public Construction Projects Bureau, Kobe City, Japan.
Takao MorimotoPlanning Division, Sewage Works Department, Public Construction Projects Bureau, Kobe City, Japan.
Tomotada IwamotoDepartment of Infectious Diseases, Kobe Institute of Health, Kobe City, Japan.
Public Works Research Institute · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the cause of the current coronavirus disease 2019 (COVID-19) pandemic and associated respiratory infections, has been detected in the feces of patients. Therefore, determining SARS-CoV-2 RNA levels in sewage may help to predict the number of infected people within the area. In this study, we quantified SARS-CoV-2 RNA copy number using reverse transcription quantitative real-time PCR with primers and probes targeting the N gene, which allows the detection of both wild-type and variant strain of SARS-CoV-2 in sewage samples from two wastewater treatment plants (WWTPs) in Kobe City, Japan, during the fourth and fifth pandemic waves of COVID-19 between February 2021 and October 2021. The wastewater samples were concentrated

Indexed as

COVID-19environmental surveillanceSARS-CoV-2sewagewastewater

Identifiers

PMID35756040
PMCPMC9223763
OpenAlexW4285741070

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.