Evidence map›Paper›PMID 37034453›Full record

ReviewCurrent opinion in environmental science & health2023

Moving forward with COVID-19: Future research prospects of wastewater-based epidemiology methodologies and applications.

Guangming Jiang, Yanchen Liu, Song Tang, Masaaki Kitajima, Eiji Haramoto, Sudipti Arora, Phil M Choi, Greg Jackson, Patrick M D'Aoust, Robert Delatolla and 11 more

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current opinion in environmental science & health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. 20-Month monitoring of SARS-CoV-2 in wastewater of Curitiba, in Southern Brazil.Environmental science and pollution research international · 2023
    Article
  12. Article
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 at 11 institutions in 7 countries.

Guangming JiangSchool of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
Yanchen LiuState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
Song TangChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), Chaoyang District, Beijing 100021, China.
Masaaki KitajimaDivision of Environmental Engineering, Faculty of Engineering, Hokkaido University, North 13 West 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan.
Eiji HaramotoInterdisciplinary Center for River Basin Environment, University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi 400-8511, Japan.
Sudipti AroraDr. B. Lal Institute of Biotechnology, 6-E, Malviya Industrial Area, Malviya Nagar, Jaipur, 302017, India.
Phil M ChoiWater Unit, Health Protection Branch, Queensland Public Health and Scientific Services, Queensland Health, Australia.
Greg JacksonWater Unit, Health Protection Branch, Queensland Public Health and Scientific Services, Queensland Health, Australia.
Patrick M D'AoustDepartment of Civil Engineering, University of Ottawa, Ottawa, Ontario, Canada.
Robert DelatollaDepartment of Civil Engineering, University of Ottawa, Ottawa, Ontario, Canada.
Shuxin ZhangSchool of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
Ying GuoSchool of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
Jiangping WuSchool of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
Yan ChenSchool of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
Elipsha SharmaSchool of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
Tanjila Alam ProsunSchool of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
Jiawei ZhaoSchool of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
Manish KumarSustainability Cluster, School of Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.
Ryo HondaFaculty of Geosciences and Civil Engineering, Kanazawa University, Kanazawa, Japan.
Warish AhmedCSIRO Environment, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia.
Jon MeimanWisconsin Department of Health Services, Madison, WI 53701, USA.
University of Wollongong · AUQueensland Health · AUUniversity of Ottawa · CAChinese Center For Disease Control and Prevention · CNCommonwealth Scientific and Industrial Research Organisation · AUHokkaido University · JPKanazawa University · JPState Key Joint Laboratory of Environment Simulation and Pollution Control · CNTakeda (Japan) · JPUniversity of Petroleum and Energy Studies · INWisconsin Department of Health Services · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) has been demonstrated for its great potential in tracking of coronavirus disease 2019 (COVID-19) transmission among populations despite some inherent methodological limitations. These include non-optimized sampling approaches and analytical methods; stability of viruses in sewer systems; partitioning/retention in biofilms; and the singular and inaccurate back-calculation step to predict the number of infected individuals in the community. Future research is expected to (1) standardize best practices in wastewater sampling, analysis and data reporting protocols for the sensitive and reproducible detection of viruses in wastewater; (2) understand the in-sewer viral stability and partitioning under the impacts of dynamic wastewater flow, properties, chemicals, biofilms and sediments; and (3) achieve smart wastewater surveillance with artificial intelligence and big data models. Further specific research is essential in the monitoring of other viral pathogens with pandemic potential and subcatchment applications to maximize the benefits of WBE beyond COVID-19.

Indexed as

Artificial intelligenceCOVID-19InfluenzaSARS-CoV-2SewerWastewater-based epidemiology

Identifiers

PMID37034453
PMCPMC10065412
OpenAlexW4323364968

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.