Measurement Errors and Decisional Criteria to Detect Subjects Suspected Having SARS-CoV by Thermography

The COVID-19 pandemic was spread in the world. Diffusion started in China at the end of 2019 and has involved the whole planet by 2020. The world found itself unprepared to face the pandemic. Preliminary detection of subjects suspected of having Coronavirus was a peremptory task to counter the sprea...

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Vydané v:IEEE sensors journal Ročník 24; číslo 19; s. 31006 - 31017
Hlavný autor: Morello, Rosario
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.10.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Aerial thermography
Cameras
Coronaviruses
COVID-19
Criteria
decisional criteria
Disease transmission
Errors
Infrared imaging
Measurement errors
Measurement uncertainty
Pandemics
Parameter uncertainty
Railway stations
Severe acute respiratory syndrome
severe acute respiratory syndrome (SARS)-CoV
Skin
Technology assessment
Temperature measurement
thermography
Viral diseases
ISSN:1530-437X, 1558-1748
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Shrnutí:The COVID-19 pandemic was spread in the world. Diffusion started in China at the end of 2019 and has involved the whole planet by 2020. The world found itself unprepared to face the pandemic. Preliminary detection of subjects suspected of having Coronavirus was a peremptory task to counter the spread of the virus. Authorities, scientists, and clinicians were challenging to define mass screening and diagnostic tools for early disease detection. Thermography was a wide-spreading technique used in airport, railway station, and access points for mass detection of potential subjects affected by COVID-19 or, in general, by severe acute respiratory syndrome (SARS)-CoV. However, thermography, like any sensing technique, is affected by uncertainty contributions and measurement errors which are cause of poorly reliable results. Consequently, false-positive and false-negative cases may occur. This manuscript aims to highlight the limitations of this technology by disclosing the experimental studies carried out about the most common errors due to the incorrect use of thermography. Quantitative evaluation of the effects of such errors on measurement results is here reported so to prove the topic relevance. Parameters definition and decisional criteria are here proposed to increase the detection accuracy of subjects suspected having SARS-CoV infection. An approach based on uncertainty evaluation is described to overcome the current limitations so to make the use of thermography reliable.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2024.3443314