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Recognizing Suspect and Predicting the Spread of Contagion Based on Mobile Phone Location Data (Counteract)

A system of identifying Covid-19 infectious and hazardous sites, detecting disease outbreaks based on the internet of things, edge computing, and artificial intelligence

Bibliographic Data

ID21232822
AuthorsHemant Ghayvat (0000-0002-2487-0866, Technical University of Denmark, corresponding author), Muhammad Awais (0000-0001-6421-9245, Fudan University), Prosanta Gope (0000-0003-2786-0273, University of Sheffield), Sharnil Pandya (0000-0002-4507-1844, Symbiosis International University), Shubhankar Majumdar (0000-0002-3703-4904, National Institute of Technology Meghalaya)
Year2021
Volume69
Pages102798
Publication date2021-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2021.102798
PMID36568858
OpenAlexW3130988500
LanguageEN
Citations received4
References cited17

Human movement is a significant factor in extensive spatial-transmission models of contagious viruses. The proposed COUNTERACT system recognizes infectious sites by retrieving location data from a mobile phone device linked with a particular infected subject. The proposed approach is computing an incubation phase for the subject's infection, backpropagation through the subjects' location data to investigate a location where the subject has been during the incubation period. Classifying to each such site as a contagious site, informing exposed suspects who have been to the contagious location, and seeking near real-time or real-time feedback from suspects to affirm, discard, or improve the recognition of the infectious site. This technique is based on the contraption to gather confirmed infected subject and possibly carrier suspect area location, correlating location for the incubation days. Security and privacy are a specific thing in the present research, and the system is used only through authentication and authorization. The proposed approach is for healthcare officials primarily. It is different from other existing systems where all the subjects have to install the application. The cell phone associated with the global positioning system (GPS) location data is collected from the COVID-19 subjects

Computer security · Disease · Geography · Global Positioning System · Internet privacy · Mobile phone · Outbreak · Pandemic · Phone · Suspect · Telecommunications · Computer Science · COVID-19 Digital Contact Tracing · Data-Driven Disease Surveillance · Human Mobility and Location-Based Analysis · Medicine · Virology

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Unique citing works4
Citations per year0,8
Citation span2021 - 2022 (2)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 4
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