ArticleSustainable cities and society2021
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.
Article in Sustainable cities and society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 44 citations in OpenAlex.
- An exploratory study of patient hospitalization patterns and behavioral risk factors using mobile phone location data.PLOS digital health · 2026Article
- AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia.Neural computing & applications · 2023Article
- Development and validation of a biological risk assessment tool among hospital personnel under COVID-19 pandemic conditions.PloS one · 2023Article
- Data analytics during pandemics: a transportation and location planning perspective.Annals of operations research · 2022Article
- A comprehensive survey on the biomedical signal processing methods for the detection of COVID-19.Annals of medicine and surgery (2012) · 2022Review
- Spatio-temporal modeling of COVID-19 prevalence and mortality using artificial neural network algorithms.Spatial and spatio-temporal epidemiology · 2022Article
- Secure Smart Wearable Computing through Artificial Intelligence-Enabled Internet of Things and Cyber-Physical Systems for Health Monitoring.Sensors (Basel, Switzerland) · 2022Article
- Identification of sampling points for the detection of SARS-CoV-2 in the sewage system.Sustainable cities and society · 2022Article
- A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine.Frontiers in artificial intelligence · 2022Review
- Deep Learning-Based Transfer Learning for Classification of Skin Cancer.Sensors (Basel, Switzerland) · 2021Article
- A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions.Sensors (Basel, Switzerland) · 2021Review
- Analysis of Tracheobronchial Diverticula Based on Semantic Segmentation of CT ImagesFrontiers in public health · 2021Article
- An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest x-ray images.PeerJ. Computer science · 2021Article
- COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks.Frontiers in public health · 2021Article
- Article
- An Explainable Intelligence Driven Query Prioritization Using Balanced Decision Tree Approach for Multi-Level Psychological Disorders Assessment.Frontiers in public health · 2021Article
- Harvesting social media sentiment analysis to enhance stock market prediction using deep learning.PeerJ. Computer science · 2021Article
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Authors and funding
5 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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