Evidence map›Paper›PMID 36439798›Full record

ReviewFrontiers in microbiology2022

Detection and characterization of bioaerosol emissions from wastewater treatment plants: Challenges and opportunities.

Jianghan Tian, Cheng Yan, Sonia Garcia Alcega, Francis Hassard, Sean Tyrrel, Frederic Coulon, Zaheer Ahmad Nasir

Abstract readReview
In one paragraph

Review 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

7 authors.

Jianghan TianSchool of Chemistry, University of Bristol, Bristol, United Kingdom.
Cheng YanSchool of Water, Energy and Environment, Cranfield University, Cranfield, United Kingdom.
Sonia Garcia AlcegaSchool of Physical Sciences, The Open University, Walton Hall, Milton Keynes, United Kingdom.
Francis HassardSchool of Water, Energy and Environment, Cranfield University, Cranfield, United Kingdom.
Sean TyrrelSchool of Water, Energy and Environment, Cranfield University, Cranfield, United Kingdom.
Frederic CoulonSchool of Water, Energy and Environment, Cranfield University, Cranfield, United Kingdom.
Zaheer Ahmad NasirSchool of Water, Energy and Environment, Cranfield University, Cranfield, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid population growth and urbanization process have led to increasing demand for wastewater treatment capacity resulting in a non-negligible increase of wastewater treatment plants (WWTPs) in several cities around the world. Bioaerosol emissions from WWTPs may pose adverse health risks to the sewage workers and nearby residents, which raises increasing public health concerns. However, there are still significant knowledge gaps on the interplay between process-based bioaerosol characteristics and exposures and the quantification of health risk which limit our ability to design effective risk assessment and management strategies. This review provides a critical overview of the existing knowledge of bioaerosol emissions from WWTPs including their nature, magnitude and size distribution, and highlights the shortcoming associated with existing sampling and analysis methods. The recent advancements made for rapid detection of bioaerosols are then discussed, especially the emerging real time detection methods to highlight the directions for future research needs to advance the knowledge on bioaerosol emissions from WWTPs.

Indexed as

bioaerosolemission characteristicsin situ measurementreal time detectionwastewater treatment plant

Identifiers

PMID36439798
PMCPMC9684734

What OpenQuestion holds

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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.