Social Interaction Tracking and Patient Prediction System for Potential COVID-19 Patients

Sandeepa, Chamara; Moremada, Charuka; Dissanayaka, Nadeeka; Gamage, Tharindu D.; Liyanage, Madhusanka

doi:10.1109/5gwf49715.2020.9221268

Cited by 15 publications

(13 citation statements)

References 7 publications

(6 reference statements)

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“…IoT devices facilitate a high-speed interaction between devices that enhance automation and reduce human interface. In the context of COVID-19, different research themes have been conducted that benefited from IoT—for instance, controlling and spreading prediction of Coronavirus [38] , [39] , [40] , smart diagnostics [41] , [42] , and home hospitalization [43] .…”

Section: Findings and Discussionmentioning

confidence: 99%

The application of industry 4.0 technologies in pandemic management: Literature review and case study

Moosavi

Bakhshi

Martek

2021

Healthcare Analytics

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Section: Findings and Discussionmentioning

confidence: 99%

The application of industry 4.0 technologies in pandemic management: Literature review and case study

Moosavi

Bakhshi

Martek

2021

Healthcare Analytics

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“…For performing data analysis and data visualization, it can be done using various tools like excel, Python , R, Tableau, Google charts.Excel has various features for data analysis and visualization [10].…”

Section: Discussionmentioning

confidence: 99%

Covid Tracker for Medical Front-Liners- A Survey

2021

IJATCSE

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This paper studies the need and suggests a centralized pandemic management system for monitoring and managing the Covid-19 positive patients. The initial process of the system will be data collection from a standard medical organization and performing suitable preprocessing. Following this, is the Geocoding process of the patient’s address and area wise sub clustering. Next is plotting the patient on a map for better visualization. After this the medical staff will access this data and field staff will fillup the patient’s symptoms and upload it to a database. A doctor can assign the type of treatment, ambulance and hospital to the patient. Finally, tracking the patient’s arrival to the hospital via ambulance and treating the patient will mark the end. Analysis and visualization on the patients live data will help the authorities in decision-making. Through all these steps, the monitoring of a Covid-19 positive patient will become very easy and convenient for the medical front liners and other concerned authorities

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“…Automatic detection of possible close contacts with infectious persons can be achieved using the smartphone's BLE signals and machine learning algorithm [21]. [22] has developed a social interaction tracking system based on BLE and Global Positioning System (GPS). In addition, [22] develops an algorithm to predict the likelihood of being infected with COVID-19 based on the BLE data collected.…”

Section: Previous Workmentioning

confidence: 99%

A Close Contact Tracing Method Based on Bluetooth Signals Applicable to Ship Environments

2023

KSII TIIS

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There are still outbreaks of COVID-19 across the world. Ships increase the risk of worldwide transmission of the virus. Close contact tracing remains as an effective method of reducing the risk of virus transmission. Therefore, close contact tracing in ship environments becomes a research topic. Exposure Notifications API (Application Programming Interface) can be used to determine the encountered location points of close contacts on ships. Location points of close contact are estimated by the encountered location points. Risky areas in ships can be calculated based on the encountered location points. The tracking of close contacts is possible with Bluetooth technology without the Internet. The Bluetooth signal can be used to judge the proximity among detecting devices by using the feature that Bluetooth has a strong signal at close range. This Bluetooth feature makes it possible to trace close contacts in ship environments. In this paper, we propose a method for close contact tracing and showing the risky area in a ship environment by combining beacon and Exposure Notification API using Bluetooth technology. This method does not require an Internet connection for tracing close contacts and can protect the personal information of close contacts.

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Social Interaction Tracking and Patient Prediction System for Potential COVID-19 Patients

Cited by 15 publications

References 7 publications

The application of industry 4.0 technologies in pandemic management: Literature review and case study

The application of industry 4.0 technologies in pandemic management: Literature review and case study

Covid Tracker for Medical Front-Liners- A Survey

A Close Contact Tracing Method Based on Bluetooth Signals Applicable to Ship Environments

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