Smart Border for Disease Control

Authors

  • Supaporn Kiattisin Information Technology Management, Faculty of Engineering, Mahidol University Salaya, Phuttamonthon, NakhonPathom, Thailand https://orcid.org/0000-0002-7776-643X
  • Pakamas Pairot Information Technology Management, Faculty of Engineering, Mahidol University Salaya, Phuttamonthon, NakhonPathom, Thailand

DOI:

https://doi.org/10.13052/jmm1550-4646.16127

Keywords:

International border, disease control, smart Border, electronic border, Collaborative Border Management

Abstract

Border crossing poses various risks, such as national security risks, risk of terrorism, and human trafficking, as well as the risk of an epidemic. In the process of disease control, Thailand has a system and mechanism of control in accordance with the standards of the World Health Organization and is recognized for the precision and tightness of the process. However, the screening and control process at land and marine border checkpoints still face the risks associated with cross border disease control due to the lack of preliminary information from passengers before crossing the border similar to those at an air-border crossing. It was found that the agencies involved in the land cross-border process would only become aware of passenger information when the passenger arrived at the crossing point. Initial screening and preparation procedures for coping with the risks were not timely, including the various resources at the border checkpoints such as screening tools, personnel, and screening sites. This paper aims to develop a cross-border management model that can help screen for diseases and support national security through digital technology. Therefore, the hypothesis has been proposed through the form of electronic border checkpoints for prevention, control, and tracking of transnational epidemics by screening all cross-border travelers. The existing system will be studied. The principles of collaborative border management (CBM) are the basis for the design, linkage, and integration between relevant departments. Further, simulation is a proof of our concept. The results show that data linkage and coordination between organizations build confidence and safety, reduces the risk of infection to people traveling across border agencies, and is in accordance with the National Digital Policy.

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Author Biographies

Supaporn Kiattisin, Information Technology Management, Faculty of Engineering, Mahidol University Salaya, Phuttamonthon, NakhonPathom, Thailand

Supaporn Kiattisin received her B.Eng. degree in applied computer engineering from the Chiang Mai University, Chiang Mai, Thailand, in 1995. She also received her M.Eng. degree in electrical engineering and the Ph.D. degree in electrical and computer engineering from the King Mongkut’s University of Technology Thonburi, Bangkok, Thailand, in 1998 and 2006, respectively. She is currently the program director of Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand. Her research interests include computer vision, image processing, robot vision, signal processing, pattern recognition, artificial intelligence, IoT, IT management, digital technologies, big data, and enterprise architecture with TOGAF 9 certification. She is a member of the IEICE and TESA. She served as a Head of the IEEE Thailand Chapter in Biomedical Engineering. She also served as the Chairman of the TimesSOC Transaction Thailand. She has expertise in Enterprise enterprise Architecture architecture (EA), data sciences, and information technology in E-government and digital economy (DE).

Pakamas Pairot, Information Technology Management, Faculty of Engineering, Mahidol University Salaya, Phuttamonthon, NakhonPathom, Thailand

Pakamas Pairot received her B.Sc. degree in business management (business computer) from the Prince of Songkla University, Thailand in 2002. She also received her M.Sc. degree in information technology management from the Prince of Songkla University in 2010. She has experience in database management and business analytics. She is currently a Ph.D. student in IT management, Mahidol University. Her areas of research interests are data mining, big data, and business management.

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Published

2020-08-20

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Section

Smart Innovative Technology for Future Industry and Multimedia Applications