Evidence map›Paper›PMID 33409629›Full record

ReviewParasitology research2021

Wastewater-based epidemiology-surveillance and early detection of waterborne pathogens with a focus on SARS-CoV-2, Cryptosporidium and Giardia.

Alireza Zahedi, Paul Monis, Daniel Deere, Una Ryan

Open access · bronzeAbstract readReview
In one paragraph

Review in Parasitology research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 116 citations in OpenAlex.

  1. WaterborneJournal of water and health · 2024
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Recent developments in waterborne pathogen detection technologies.Environmental monitoring and assessment · 2025
    Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. A Community WaterborneInternational journal of environmental research and public health · 2024
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. COVID-19 and Water Variables: Review and Scientometric Analysis.International journal of environmental research and public health · 2023
    Review
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

4 authors at 3 institutions in 1 country.

Alireza ZahediHarry Butler Institute, Murdoch University, Perth, Australia.
Paul MonisSouth Australian Water Corporation, Adelaide, Australia.
Daniel DeereWater Futures and Water Research Australia, Sydney, Australia.
Una RyanHarry Butler Institute, Murdoch University, Perth, Australia. Una.Ryan@murdoch.edu.au.ORCID http://orcid.org/0000-0003-2710-9324
Murdoch University · AUSouth Australian Water Corporation · AUWater Research Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Waterborne diseases are a major global problem, resulting in high morbidity and mortality, and massive economic costs. The ability to rapidly and reliably detect and monitor the spread of waterborne diseases is vital for early intervention and preventing more widespread disease outbreaks. Pathogens are, however, difficult to detect in water and are not practicably detectable at acceptable concentrations that need to be achieved in treated drinking water (which are of the order one per million litre). Furthermore, current clinical-based surveillance methods have many limitations such as the invasive nature of the testing and the challenges in testing large numbers of people. Wastewater-based epidemiology (WBE), which is based on the analysis of wastewater to monitor the emergence and spread of infectious disease at a population level, has received renewed attention in light of the current coronavirus disease 2019 (COVID-19) pandemic. The present review will focus on the application of WBE for the detection and surveillance of pathogens with a focus on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the waterborne protozoan parasites Cryptosporidium and Giardia. The review highlights the benefits and challenges of WBE and the future of this tool for community-wide infectious disease surveillance.

Indexed as

COVID-19CryptosporidiosisCryptosporidiumGiardiaHumansSARS-CoV-2WastewaterWastewater-Based Epidemiological MonitoringWastewaterCryptosporidiumEpidemiologyGiardiaSarsCoV-2Wastewater

Identifiers

PMID33409629
PMCPMC7787619
OpenAlexW3120137666

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.