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Nita Madhav, Ben Oppenheim, Mark Gallivan, P. Mulembakani, E. Rubin, N. Wolfe (2017)
Pandemics: Risks, Impacts, and Mitigation
A. Dorri, Marco Steger, S. Kanhere, R. Jurdak (2017)
BlockChain: A Distributed Solution to Automotive Security and PrivacyIEEE Communications Magazine, 55
E. Mamdani, S. Assilian (1999)
An Experiment in Linguistic Synthesis with a Fuzzy Logic ControllerInt. J. Hum. Comput. Stud., 51
Prateek Pandey, R. Litoriya (2020)
Securing E-health Networks from Counterfeit Medicine Penetration Using BlockchainWireless Personal Communications, 117
Tsung-Ting Kuo, Hyeon-eui Kim, L. Ohno-Machado (2017)
Blockchain distributed ledger technologies for biomedical and health care applicationsJournal of the American Medical Informatics Association : JAMIA, 24
Disaster Medicine and Public Health Preparedness
Gary Leeming, James Cunningham, J. Ainsworth (2019)
A Ledger of Me: Personalizing Healthcare Using Blockchain TechnologyFrontiers in Medicine, 6
(2020)
Ensuring elderly well being during COVID-19 by using IoT
Qi Zhang, Haowen Deng, Cheng Zhang (2020)
The Value of Early Response by Surrounding Areas of Epidemic Center Hubei During COVID-2019 Outbreak in China: A Quasi-Experiment Analysis
Prateek Pandey, R. Litoriya (2020)
Implementing healthcare services on a large scale: Challenges and remedies based on blockchain technologyHealth policy and technology, 9
Mamta Pandey, R. Litoriya, Prateek Pandey (2020)
Applicability of Machine Learning Methods on Mobile App Effort Estimation: Validation and Performance EvaluationInt. J. Softw. Eng. Knowl. Eng., 30
M. Ahmadi, S. Royaee, S. Tayyebi, R. Boozarjomehry (2020)
A new insight into implementing Mamdani fuzzy inference system for dynamic process modeling: Application on flash separator fuzzy dynamic modelingEng. Appl. Artif. Intell., 90
R. Ullah, G. Zaman, S. Islam (2012)
Prevention of Influenza Pandemic by Multiple Control StrategiesJ. Appl. Math., 2012
Suchada Vichitvanichphong, A. Talaei-Khoei, Donald Kerr, A. Ghapanchi (2018)
Assistive technologies for aged care: Comparative literature survey on the effectiveness of theories for supportive and empowering technologiesInf. Technol. People, 31
J. James (2020)
A Tale of Two Epidemics. March 20, 2020Disaster Medicine and Public Health Preparedness, 14
Jaideep Ghosh (2019)
The Blockchain: Opportunities for Research in Information Systems and Information TechnologyJournal of Global Information Technology Management, 22
Dominique Vervoort, Xiya Ma, J. Luc (2020)
COVID-19 pandemic: a time for collaboration and a unified global health frontInternational Journal for Quality in Health Care
Aisling Vaughan, E. Aarons, J. Astbury, Sooria Balasegaram, M. Beadsworth, Charles Beck, M. Chand, C. O’connor, J. Dunning, S. Ghebrehewet, Nick Harper, R. Howlett-Shipley, C. Ihekweazu, M. Jacobs, Lukeki Kaindama, Parisha Katwa, S. Khoo, L. Lamb, S. Mawdsley, D. Morgan, R. Palmer, N. Phin, K. Russell, B. Said, A. Simpson, R. Vivancos, Michael Wade, A. Walsh, J. Wilburn (2018)
Two cases of monkeypox imported to the United Kingdom, September 2018Eurosurveillance, 23
Igor Medeirosa, Maria Machadoa, Wallace José, Damascenob, André Caldeirab, Rodrigo Santosb, Joel da, Silva Filhob (2017)
Information Technology and Quantitative Management ( ITQM 2017 ) A Fuzzy Inference System to Support Medical Diagnosis in Real Time
O. Megnin-Viggars, P. Carter, G. Melendez-Torres, D. Weston, G. Rubin (2020)
Facilitators and barriers to engagement with contact tracing during infectious disease outbreaks: A rapid review of the evidencePLoS ONE, 15
M. Kretzschmar, G. Rozhnova, M. Bootsma, M. Boven, J. Wijgert, M. Bonten (2020)
Impact of delays on effectiveness of contact tracing strategies for COVID-19: a modelling studyThe Lancet. Public Health, 5
Ruiyuan Lu, Ziheng Wang, Lingzhi Li, Jin Wang (2020)
基于Hyperledger Fabric的区块链农产品溯源方案
P. Crook, A. Smith-Palmer, H. Maguire, N. McCarthy, H. Kirkbride, Bruce Court, S. Kanagarajah, D. Turbitt, Syed Ahmed, P. Cosford, I. Oliver (2017)
Lack of Secondary Transmission of Ebola Virus from Healthcare Worker to 238 Contacts, United Kingdom, December 2014Emerging Infectious Diseases, 23
M. Keeling, T. Hollingsworth, J. Read, J. Read (2020)
Efficacy of contact tracing for the containment of the 2019 novel coronavirus (COVID-19)Journal of Epidemiology and Community Health, 74
Yang Zhou, Le Yang, Ming Han, Minqiang Huang, Xuedong Sun, Weidong Zheng, Wei Han, Jinhong Wang (2020)
Case Report on Early Diagnosis of COVID-19Disaster Medicine and Public Health Preparedness
V. Cvetković, Neda Nikolić, Una Nenadić, A. Öcal, Eric Noji, M. Zečević (2020)
Preparedness and Preventive Behaviors for a Pandemic Disaster Caused by COVID-19 in SerbiaInternational Journal of Environmental Research and Public Health, 17
S. Watkins, D. Perrotta, M. Stanbury, M. Heumann, H. Anderson, Erin Simms, Monica Huang (2011)
State-Level Emergency Preparedness and Response CapabilitiesDisaster Medicine and Public Health Preparedness, 5
Prateek Pandey, R. Litoriya (2020)
Fuzzy AHP based identification model for efficient application developmentJ. Intell. Fuzzy Syst., 38
Y. Mei, Jijia Hu (2020)
Preparedness is Essential for Western Pacific Islands During the COVID-19 PandemicDisaster Medicine and Public Health Preparedness
Hyung-Jin Yoon (2019)
Blockchain Technology and HealthcareHealthcare Informatics Research, 25
P. Doshi (2011)
The elusive definition of pandemic influenza.Bulletin of the World Health Organization, 89 7
C. Barrett, K. Bisset, S. Eubank, Xizhou Feng, M. Marathe (2008)
EpiSimdemics: An efficient algorithm for simulating the spread of infectious disease over large realistic social networks2008 SC - International Conference for High Performance Computing, Networking, Storage and Analysis
Jiangbin Zhang, Zhaohong Deng, K. Choi, Shitong Wang (2018)
Data-Driven Elastic Fuzzy Logic System Modeling: Constructing a Concise System With Human-Like Inference MechanismIEEE Transactions on Fuzzy Systems, 26
Procedia Computer Science, 122
Yuner Zhu, King-wa Fu, K. Grépin, Hai Liang, I. Fung (2020)
Limited Early Warnings and Public Attention to Coronavirus Disease 2019 in China, January–February, 2020: A Longitudinal Cohort of Randomly Sampled Weibo UsersDisaster Medicine and Public Health Preparedness
Zonyin Shae, J. Tsai (2017)
On the Design of a Blockchain Platform for Clinical Trial and Precision Medicine2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)
(2020b)
Coronavirus disease 2019 (COVID-19) situation report – 51
R. Kim-Farley, R. Detels, R. Beaglehole, M. Lansang, M. Gulliford (2009)
Principles of infectious disease control.
D. Sulsky (2012)
SIR Model
Prateek Pandey, R. Litoriya (2020)
Securing and authenticating healthcare records through blockchain technologyCryptologia, 44
Chang-Hwan Im, Kiwoon Kwon, Venky Krishnan, P. Serranho (2012)
Applied Mathematics in Biomedical Sciences and EngineeringJ. Appl. Math., 2012
E. McLean, R. Pebody, C. Campbell, M. Chamberland, C. Hawkins, J. Nguyen-Van-Tam, I. Oliver, G. Smith, C. Ihekweazu, S. Bracebridge, H. Maguire, R. Harris, G. Kafatos, P. White, E. Wynne-Evans, J. Green, R. Myers, A. Underwood, T. Dallman, T. Wreghitt, M. Zambon, J. Ellis, N. Phin, B. Smyth, J. McMenamin, J. Watson (2010)
Pandemic (H1N1) 2009 influenza in the UK: clinical and epidemiological findings from the first few hundred (FF100) casesEpidemiology and Infection, 138
(2020)
How Chinese students are avoiding the coronavirus travel ban and sneaking into Australia by lying on their departure cards – and bragging about it once they clear customs
Prateek Pandey, R. Litoriya (2020)
Promoting Trustless Computation Through Blockchain TechnologyNational Academy Science Letters. National Academy of Sciences, India, 44
M. Mettler (2016)
Blockchain technology in healthcare: The revolution starts here2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)
The purpose for writing this article is derived from the misery and chaos prevalent in the world due to the coronavirus pandemic – since late 2019 and still continuing as of December 2020.Design/methodology/approachA blockchain-based solution to verify the country visit trail and disease and treatment history of the passengers who arrive at the immigration counters located at various national borders and entry points is proposed. A fuzzy inference based suspect identifier system is also presented in this article that could be utilized to make further decisions based on the degree of suspicion observed on a particular passenger.FindingsThis paper attempted to put forth a blockchain-based system which consumes the healthcare and visit trail summary of a passenger (appearing for an interview before an immigration officer) and forwards it to a fuzzy inference system to reach to a conclusion that the passenger should be advised to self-quarantine, detained, or should be allowed to enter. Such a system would help to make correct decisions at the immigration counters to check pandemic diseases, like COVID-19, right at the entry points.Research limitations/implicationsThe implications of this work are manifold. First, the proposed framework works independent of the type of pandemic and is a readymade tool to check the spread of disease through infected human carriers. Second, the proposed framework will keep the mortality rates under check, which would give ample time for the authorities to save the lives of the people with co-morbidities and age vulnerabilities (Vichitvanichphong et al., 2018). Third, it is a general phenomenon to restrict the flights from the country where the first few cases of infection are discovered; however, the infected person, at the same time, might travel through alternative routes. The blockchain-enabled proposed framework ensures the detection of such cases at no other cost. Finally, the solution may appear costly in the first place, but it has the potential to hold back the revenue of the countries that would otherwise be spent on reactive measures.Originality/valueAs of now no other study or research article provides the solution to the biggest problem persists in the world in this way. The contribution is original and worth applying.
Information Technology and People – Emerald Publishing
Published: Jul 29, 2021
Keywords: COVID-19; Coronavirus; Blockchain solution; Fuzzy inference; Blockchain in immigration
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