Occupancy Allocation Using Viral Transfer Risk Grouping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems lack an efficient method to manage viral transfer risk in public spaces, particularly during high transmissibility periods like pandemics, as they rely on static measures and do not account for real-time changes in transmissibility information and immunization status.
Innovation Solution
An apparatus that calculates transfer risk scores for individuals based on immunization status and allocates physical space assignments within public spaces dynamically, using real-time updates to minimize infection risk through ventilation adjustments and spatial optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static space allocation measures are used in public spaces, then system simplicity is maintained, but viral transmission risk increases due to inability to respond to real-time transmissibility changes
Solution Approach 1:
The patent implements dynamic space allocation that automatically adjusts physical space assignments based on real-time transmissibility information and immunization status. The system transitions from static to dynamic occupancy management, continuously adapting space allocations to current viral transmission risks and population immunity levels.
Solution Approach 2:
The system incorporates feedback loops that monitor real-time transmissibility data, immunization status updates, and occupancy levels. This feedback mechanism enables the system to automatically adjust space allocations and corrective actions based on current conditions, creating a closed-loop control system that responds to changing viral transmission risks.
2Reliability
If dynamic space allocation based on real-time data is implemented, then viral transmission risk is reduced, but system complexity and data processing requirements increase
Solution Approach 1:
The system performs preliminary calculations and pre-determines space allocation strategies based on incoming transmissibility data and immunization status. By preparing allocation decisions in advance based on predicted risk levels, the system reduces the computational burden during critical real-time decision-making moments.
Solution Approach 2:
The patent utilizes parameter changes in transmissibility information and immunization status as triggers for space allocation adjustments. The system monitors key parameters (transmissibility levels, vaccination rates) and automatically adjusts space assignments when these parameters cross predefined thresholds, simplifying the decision-making process.
3Productivity
If physical space assignments are dynamically adjusted based on transfer risk scores, then occupancy optimization is achieved, but measurement precision requirements increase
Solution Approach 1:
The system applies different levels of measurement precision to different aspects of transfer risk assessment. Rather than requiring uniform high precision across all parameters, the system identifies which factors (immunization status, transmissibility level, proximity) require more precise measurement versus those that can use broader categorizations, optimizing the balance between accuracy and feasibility.
Data Source
AI summary
Embodiments herein relate to viral transfer risk management. In example embodiments, an apparatus is configured to retrieve a first user identifier associated with a first client computing entity. The apparatus is further configured to determine, based at least in part on a first transfer risk score associated with the first user identifier, a first transfer risk score grouping for the first user identifier. The apparatus is further configured to, based at least in part on the first transfer risk score grouping and physical space parameters associated with a physical space identifier, allocate a first physical space assignment within a physical space associated with the physical space identifier to the first user identifier associated with the first client computing entity. In other example embodiments, an apparatus is configured to detect or receive a plurality of locations, each location associated with a different client computing entity of a plurality of client computing entities within a physical space associated with a physical space identifier. The apparatus is further configured to retrieve a plurality of user identifiers each associated with a different client computing entity of the plurality of client computing entities and, for each user identifier of the plurality of user identifiers, determine, based at least in part on a respective transfer risk score associated with the user identifier, a respective transfer risk score grouping. The apparatus is further configured to, based at least in part on respective transfer risk score groupings and physical space parameters associated with a physical space identifier, initiate one or more corrective actions.