Evidence map›Paper›PMID 35808337›Full record

SynthesisSensors (Basel, Switzerland)2022

Evolution and Applications of Recent Sensing Technology for Occupational Risk Assessment: A Rapid Review of the Literature.

Giacomo Fanti, Andrea Spinazzè, Francesca Borghi, Sabrina Rovelli, Davide Campagnolo, Marta Keller, Andrea Borghi, Andrea Cattaneo, Emanuele Cauda, Domenico Maria Cavallo

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 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. Article
  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

10 authors.

Giacomo FantiDepartment of Science and High Technology, University of Insubria, 22100 Como, Italy.ORCID 0000-0002-3728-839X
Andrea SpinazzèDepartment of Science and High Technology, University of Insubria, 22100 Como, Italy.ORCID 0000-0003-0371-3164
Francesca BorghiDepartment of Science and High Technology, University of Insubria, 22100 Como, Italy.ORCID 0000-0003-3452-2803
Sabrina RovelliDepartment of Science and High Technology, University of Insubria, 22100 Como, Italy.ORCID 0000-0002-6403-5101
Davide CampagnoloDepartment of Science and High Technology, University of Insubria, 22100 Como, Italy.ORCID 0000-0002-2836-6106
Marta KellerDepartment of Science and High Technology, University of Insubria, 22100 Como, Italy.
Andrea BorghiDepartment of Science and High Technology, University of Insubria, 22100 Como, Italy.
Andrea CattaneoDepartment of Science and High Technology, University of Insubria, 22100 Como, Italy.ORCID 0000-0002-2962-7259
Emanuele CaudaCenter for Direct Reading and Sensor Technologies, National Institute for Occupational Safety and Health, Pittsburgh, PA 15236, USA.
Domenico Maria CavalloDepartment of Science and High Technology, University of Insubria, 22100 Como, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last decade, technological advancements have been made available and applied in a wide range of applications in several work fields, ranging from personal to industrial enforcements. One of the emerging issues concerns occupational safety and health in the Fourth Industrial Revolution and, in more detail, it deals with how industrial hygienists could improve the risk-assessment process. A possible way to achieve these aims is the adoption of new exposure-monitoring tools. In this study, a systematic review of the up-to-date scientific literature has been performed to identify and discuss the most-used sensors that could be useful for occupational risk assessment, with the intent of highlighting their pros and cons. A total of 40 papers have been included in this manuscript. The results show that sensors able to investigate airborne pollutants (i.e., gaseous pollutants and particulate matter), environmental conditions, physical agents, and workers' postures could be usefully adopted in the risk-assessment process, since they could report significant data without significantly interfering with the job activities of the investigated subjects. To date, there are only few "next-generation" monitors and sensors (NGMSs) that could be effectively used on the workplace to preserve human health. Due to this fact, the development and the validation of new NGMSs will be crucial in the upcoming years, to adopt these technologies in occupational-risk assessment.

Indexed as

Environmental PollutantsOccupational HealthHumansParticulate MatterRisk AssessmentTechnologyWorkplaceEnvironmental PollutantsParticulate Matterimplantable monitorslow-cost sensorsminiaturized monitorsplaceable monitorswearable monitors

Identifiers

PMID35808337
PMCPMC9269318

What Socratic 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 Socratic graph.