US 11,990,245 B2
Dynamic infection map
Gandhi Sivakumar, Bentleigh (AU); Lynn Kwok, Bundoora (AU); Kushal S. Patel, Pune (IN); and Sarvesh S. Patel, Pune (IN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Dec. 22, 2020, as Appl. No. 17/130,106.
Prior Publication US 2022/0199264 A1, Jun. 23, 2022
Int. Cl. G16H 50/80 (2018.01); G16Y 10/60 (2020.01); G16Y 40/10 (2020.01); H04L 67/125 (2022.01)
CPC G16H 50/80 (2018.01) [G16Y 10/60 (2020.01); G16Y 40/10 (2020.01); H04L 67/125 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A computer-implemented method of tracking infection, said method comprising:
acquiring situational data by a network architecture, wherein said network architecture is a virtual network function;
receiving, via a dedicated channel, participant data associated with a participant by said network architecture;
abstracting said participant data via said virtual network function;
accepting object data associated with an object by said network architecture;
calculating a viability time using weightage-based filtering;
generating a likelihood of infectiousness of said object based on said participant data, said object data, and said viability time;
generating an infection map with said virtual network function using said situational data, said abstracted participant data, and said likelihood of infectiousness of said object; and
displaying said infection map to one or more users.