Evidence map›Paper›PMID 35958188›Full record

ArticleSensing and Bio-Sensing Research2022

Temperature thresholds and screening of febrile people by non-contact measurement of the face using infrared thermography - A methodology proposal.

Pablo Rodrigues Muniz, Josemar Simão, Reginaldo Barbosa Nunes, Hércules Lázaro Morais Campos, Natália Queirós Santos, Andriele Ninke, João Thomaz Lemos

Open access · goldAbstract read
In one paragraph

Article in Sensing and Bio-Sensing Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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 at 3 institutions in 1 country.

Pablo Rodrigues MunizPost Graduate Program in Sustainable Technologies, Campus Vitória, Federal Institute of Espírito Santo, 1729 Vitória Ave., Vitória 29040-780, ES, Brazil.
Josemar SimãoElectrotechnical Coordination, Campus Vitória, Federal Institute of Espírito Santo, 1729 Vitória Ave., Vitória 29040-780, ES, Brazil.
Reginaldo Barbosa NunesPost Graduate Program in Sustainable Technologies, Campus Vitória, Federal Institute of Espírito Santo, 1729 Vitória Ave., Vitória 29040-780, ES, Brazil.
Hércules Lázaro Morais CamposInstitute of Health and Biotechnology, Federal University of Amazonas, 305 Estrada do Aeroporto, Coari 69460-000, AM, Brazil.
Natália Queirós SantosEspírito Santo Research and Innovation Support Foundation, 1080 Fernando Ferrari Ave., Vitória 29066-380, ES, Brazil.
Andriele NinkeElectrical Engineerging Undergraduate Coordination, Campus Vitória, Federal Institute of Espírito Santo, 1729 Vitória Ave., Vitória 29040-780, ES, Brazil.
João Thomaz LemosPost Graduate Program in Sustainable Technologies, Campus Vitória, Federal Institute of Espírito Santo, 1729 Vitória Ave., Vitória 29040-780, ES, Brazil.
Instituto Federal do Espírito Santo · BRFundação de Amparo à Pesquisa do Espírito Santo · BRUniversidade Federal do Amazonas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent outbreaks of infectious diseases such as Covid-19 that have fever as one of the symptoms drive the search for systems to track people with fever quickly and non-contact, also known as sanitary barriers. The use of non-contact infrared-based instruments, especially the infrared thermal imager, has widely spread. However, the screening process has presented low performance. This article addresses the choice of regions of interest on the human face for the analysis of the individual's fever, deals with the temperature thresholds used for this analysis, as well as the way to issue the recommendation to screen the person or not. The data collection and statistical analysis of temperatures of 198 volunteers allowed us to study and define the most appropriate face regions as targets for these barriers, as well as the temperature thresholds to be used for screening for each of these regions. Besides, the paper presents a probabilistic method based on the metrological quality of the sanitary barrier to the emission of recommendation for screening potentially febrile people. The developed method was tested in feverish and non-febrile volunteers, showing complete assertiveness in the tested cases.

Indexed as

Covid-19FeverInfrared image sensorsMass screeningThermal sensors

Identifiers

PMID35958188
PMCPMC9356631
OpenAlexW4290989053

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.