Mapping of technologies using thermal images to control epidemics

Authors

DOI:

https://doi.org/10.31686/ijier.vol8.iss11.2771

Keywords:

pandemic, corona virus, patents, thermal images

Abstract

The quest to combat the spread of the new Corona Virus Pandemic is a battle experienced worldwide, more specifically in the year 2020 when it caused a tragedy in the lives of a large part of the world population. The current numbers of contaminated people and deaths are alarming. Transmitted through droplets expelled through the nose or mouth, it leads to fever, which is the most common symptom of COVID-19. A technique that uses thermal images to check dispersed heat is a thermography. These images are captured by thermal cameras or devices with temperature sensors. Thus, the purpose of this work was to map the deposits of patent applications in order to seek technologies related to the use of thermal images to control the pandemic. The search base chosen for this research characterized as exploratory quantitative was Espacenet, which returned a final result of 119 published patent documents. Of these 93 documents were worked on in this article which gave us a more discussed result, since the others were repeated. The research revealed that patent applications in this area were stable until the current year when a Corona Virus pandemic spread, forcing researchers to develop research in order to combat it. The increase in the number of patents in 2020 shows the tendency to increase to 2021 when new research should appear and, consequently, new patented documents may be exposed in the future.

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References

ALJAZEERA. Coronavirus: All you need to know about symptoms and risks. Disponível em: <https://www.aljazeera.com/news/2020/01/coronavirus-symptoms-vaccines-risks-200122194509687.html>. Acesso em: 14 set. 2020.

ANSER, M. K. et al. Does Communicable Diseases (Including COVID-19) May Increase Global Poverty Risk? A Cloud on the Horizon. Environmental Research, v. 187, p. 109668, ago. 2020. DOI: https://doi.org/10.1016/j.envres.2020.109668

BUOITE STELLA, A. et al. Return to school in the COVID-19 era: considerations for temperature measurement. Journal of Medical Engineering and Technology, 2020. DOI: https://doi.org/10.1080/03091902.2020.1822941

CENTER FOR DISEASE CONTROL. Severe Acute Respiratory Syndrome (SARS). Disponível em: <https://www.cdc.gov/sars/about/fs-sars.html>. Acesso em: 4 out. 2020.

FERGUSON, N. M. et al. Strategies for Containing an Emerging Influenza Pandemic in Southeast Asia. Nature, v. 437, n. 7056, p. 209–214, set. 2005. DOI: https://doi.org/10.1038/nature04017

GOLD, L. et al. Health Screening Strategies for International Air Travelers during an Epidemic or Pandemic. Journal of Air Transport Management, v. 75, p. 27–38, mar. 2019. DOI: https://doi.org/10.1016/j.jairtraman.2018.11.006

JIANG, Z.; HU, M.; ZHAI, G. Portable health screening device of respiratory infections. In: Anais... In: 2020 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO WORKSHOPS, ICMEW 2020. 2020. DOI: https://doi.org/10.1109/ICMEW46912.2020.9105969

KOCOGLU, H. et al. Infrared Tympanic Thermometer Can Accurately Measure the Body Temperature in Children in an Emergency Room Setting. International Journal of Pediatric Otorhinolaryngology, v. 65, n. 1, p. 39–43, ago. 2002. DOI: https://doi.org/10.1016/S0165-5876(02)00129-5

KUMAR, P. M. et al. Cloud and IoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier. Future Generation Computer Systems, v. 86, p. 527–534, 2018. DOI: https://doi.org/10.1016/j.future.2018.04.036

LIU, C.-C.; CHANG, R.-E.; CHANG, W.-C. Limitations of forehead infrared body temperature detection for fever screening for severe acute respiratory syndrome. Infection Control and Hospital Epidemiology, v. 25, n. 12, p. 1109–1111, 2004. DOI: https://doi.org/10.1086/502351

MAGESH, S. et al. Pervasive computing in the context of COVID-19 prediction with AI-based algorithms. International Journal of Pervasive Computing and Communications, 2020.

NAKAYAMA, Y. et al. Non-contact measurement of respiratory and heart rates using a CMOS camera-equipped infrared camera for prompt infection screening at airport quarantine stations. In: Anais... In: 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND VIRTUAL ENVIRONMENTS FOR MEASUREMENT SYSTEMS AND APPLICATIONS, CIVEMSA 2015. 2015. DOI: https://doi.org/10.1109/CIVEMSA.2015.7158595

NEGISHI, T. et al. Contactless Vital Signs Measurement System Using RGB-Thermal Image Sensors and Its Clinical Screening Test on Patients with Seasonal Influenza. Sensors, v. 20, n. 8, p. 2171, jan. 2020. DOI: https://doi.org/10.3390/s20082171

NGUYEN, A. V. et al. Comparison of 3 Infrared Thermal Detection Systems and Self-Report for Mass Fever Screening. Emerging Infectious Diseases, v. 16, n. 11, p. 1710–1717, nov. 2010. DOI: https://doi.org/10.3201/eid1611.100703

NISHIURA, H.; KAMIYA, K. Fever Screening during the Influenza (H1N1-2009) Pandemic at Narita International Airport, Japan. BMC Infectious Diseases, v. 11, n. 1, p. 111, 3 maio 2011. DOI: https://doi.org/10.1186/1471-2334-11-111

P RANE, K. Design and Development of Low Cost Humanoid Robot with Thermal Temperature Scanner for COVID-19 Virus Preliminary Identification. International Journal of Advanced Trends in Computer Science and Engineering, v. 9, n. 3, p. 3485–3493, 25 jun. 2020. DOI: https://doi.org/10.30534/ijatcse/2020/153932020

SHARMA, A.; YADAV, A. R. Image processing based body temperature estimation using thermal video sequence. In: 2017 International Conference on Computing Methodologies and Communication (ICCMC), Anais... In: 2017 INTERNATIONAL CONFERENCE ON COMPUTING METHODOLOGIES AND COMMUNICATION (ICCMC). jul. 2017. DOI: https://doi.org/10.1109/ICCMC.2017.8282585

SILAWAN, N. et al. A Novel Environment-Invariant Core Body Temperature Estimation for High Sensitivity and Specificity Fever Screening. In: Anais... In: PROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, EMBS. 2018. DOI: https://doi.org/10.1109/EMBC.2018.8512541

SIMÕES, A. L. B.; MARTINO, M. M. F. D. Variabilidade circadiana da temperatura oral, timpânica e axilar em adultos hospitalizados. Revista da Escola de Enfermagem da USP, v. 41, n. 3, p. 485–491, set. 2007. DOI: https://doi.org/10.1590/S0080-62342007000300020

SOMBOONKAEW, A. et al. Temperature-compensated infrared-based low-cost mobile platform module for mass human temperature screening. Applied Optics, v. 59, n. 17, p. E112–E117, 2020. DOI: https://doi.org/10.1364/AO.388313

VILKE, G. M. et al. Clinical Features of Covid-19 Patients: Is Temperature Screening Useful? The Journal of Emergency Medicine, p. S073646792030977X, set. 2020. DOI: https://doi.org/10.1016/j.jemermed.2020.09.048

WORLD HEALTH ORGANIZATION. Consensus document on the epidemiology of severe acute respiratory syndrome (SARS). [s.l: s.n.]

ZHANG, Z. et al. Study on high accuracy temperature measurement technology of infrared thermal imager. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, v. 41, n. 5, p. 10–18, 2020.

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Published

2020-11-01

How to Cite

Sapucaia dos Santos, R., Santos Silva, C. C. ., Pedro Fabris, J., & Leitão Russo, S. (2020). Mapping of technologies using thermal images to control epidemics. International Journal for Innovation Education and Research, 8(11), 392-401. https://doi.org/10.31686/ijier.vol8.iss11.2771
Received 2020-10-15
Accepted 2020-10-23
Published 2020-11-01