Patent AU-2021100031-A4 (AU)
Title: A user-centric approach using mobile app and web-application/web-platform for intelligent matching of user movements & location history to infected persons visit data to detect and identify, if and when user has visited same location at same time in last 14 day or less than 14 days or more than 14 days and alert user about potential infection.
Inventor: KUMAR NARESH
IPC: G06Q50/26
Filed: 2021-01-05
Granted: 2021-03-25
Abstract: Coronavirus disease (COVID) is a harmful disease caused from virus. COVID disease includes the 
symptoms such as cold, cough, fever and difficulty in breathing. COVID has affected many countries, 
including Australia and their spread in world has put humanity at risk. Due to increasing number of 
cases and resultant stress on administration, communities as well as health professionals, different 
detection and identification techniques were introduced to predict the corona virus disease 
existence in patients and communities. As each administration and detection teams gained 
understanding and expertise, they have improved on their methods, speed and accuracy. However, 
each approach leaves the gap i.e. user to access or read the information published by health 
authorities and then to self-check manually by himself/herself, if he/she has visited the places in 
recent past. In order to address this gap and to enable the user to use the mobile app is introduced.  
The mobile app in conjugation with Web-platform does 4 steps in innovative and automated-way.  
1. Acquire and store user-location data in Mobile-App 
I. Based on user permission, continually or periodically store his last-O or more days' 
movements in his/her mobile-device in secure manner.  
II. User can also add his/her location data using a form, in specific format of Location, from 
date-time and to-date-time or time-spent (approximately). This data is also kept in user's 
mobile-device in secure manner.  
2. Acquire and publish infected person visitation data in Web-platform.  
1. Mobile App has a counterpart Web-Platform, from which notifications are published after 
due-vetting, based on verified and authenticated information such health authorities.  
Mobile App can request and receive this data from web-application/web-platform.  
3. Search for match between user-location data and infected person 
visitation data and if matched, alert the user.  
1. Notifications published electronically in above step are then received in mobile app and are 
verified for match instantaneously or delay-matched (based on user preferences) with user's 
historical-location-data and time of visit.  
II. In case there is change in user location records such as user has moved to new location or 
has added a new location record, then also locations records are verified if there is a match 
between user location data and notification data on specified time-intervals specified in 
notification data.  
111. If there is a match then user is alerted using a notification in Mobile App and/or email 
4. Storing of meta-data and deletion of data as per acceptance of terms 
by user.  
1. Based on user's acceptance of terms of use, User's meta-data such as age, suburb and 
distance-travelled etc. is stored into main-server in anonymous and/or non-identifiable 
format.  
11. Based on User preference of default user preference settings, user historical data is deleted 
from user mobile device.
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