Evidence map›Paper›PMID 37181088›Full record

ArticleNational science review2023

Wastewater surveillance and an automated robot: effectively tracking SARS-CoV-2 transmission in the post-epidemic era.

Guanyong Ou, Yuxuan Tang, Shiyu Niu, Liwen Wu, Shaxi Li, Yang Yang, Jun Wang, Yun Peng, Chuanfu Huang, Wei Hu and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in National science review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
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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

21 authors.

Guanyong OuNational Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen 518112, China.
Yuxuan TangInternational Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology of Ministry of Education, Institute of Microscale Optoelectronics, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.
Shiyu NiuNational Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen 518112, China.
Liwen WuNational Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen 518112, China.
Shaxi LiNational Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen 518112, China.
Yang YangNational Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen 518112, China.
Jun WangNational Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen 518112, China.
Yun PengNational Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen 518112, China.
Chuanfu HuangShenzhen Longhua Drainage Co., Ltd., Shenzhen 518060, China.
Wei HuShenzhen Longhua Drainage Co., Ltd., Shenzhen 518060, China.
Qinghua HuShenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.
Yinghui LiMicrobiology Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.
Yang PingPower China Eco-Environmental Group Co., Ltd., Shenzhen 518102, China.
Chao LinShenzhen Water Planning & Design Institute Co., Ltd., Shenzhen 518022, China.
Boping YuShenzhen Academy of Environmental Sciences, Shenzhen 518001, China.
Qi HanSchool of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
Yabin HaoShenzhen Metasensing Technology Co., Ltd., Shenzhen 518000, China.
Zhiguang LuoZhongmin (Shenzhen) intelligent ecology Co., Ltd., Shenzhen 518055, China.
Wende TianResearch Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Han ZhangInternational Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology of Ministry of Education, Institute of Microscale Optoelectronics, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.
Yingxia LiuNational Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, The Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen 518112, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) has exhibited great utility in the early and rapid identification of SARS-CoV-2. However, the efficacy of wastewater surveillance under China's previous strict epidemic prevention policy remains to be described. We collected the WBE data of wastewater treatment plants (WWTPs) in the Third People's Hospital of Shenzhen and several communities to determine the significant effectiveness of routine wastewater surveillance in monitoring the local spread of SARS-CoV-2 under tight containment of the epidemic. The results of 1 month of continuous wastewater surveillance showed that positive signals for SARS-CoV-2 RNA were detected in the wastewater samples, and a significant positive correlation was observed between the virus concentration and the number of daily cases. In addition, the community's domestic wastewater surveillance results were confirmed even 3 days before, or simultaneously with, the infected patient being confirmed as having the virus. Meanwhile, an automated sewage virus detection robot, ShenNong No.1 robot, was developed, showing a high degree of agreement with experimental data, offering the possibility of large-scale multi-point surveillance. Overall, our results illustrated the clear indicative role of wastewater surveillance in combating COVID-19 and provided a practical basis for rapidly expanding the feasibility and value of routine wastewater surveillance for future emerging infectious diseases.

Indexed as

automated robotSARS-CoV-2wastewater-based epidemiologywastewater surveillanceWWTP

Identifiers

PMID37181088
PMCPMC10171627

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.