scholarly journals An Animated Visual Representation of Real-Time Resource Flows Through a Community Enhances Systems Thinking

2018 ◽  
Vol 35 (6) ◽  
pp. 718-737 ◽  
Author(s):  
John E. Petersen ◽  
Cynthia M. Frantz ◽  
Evan Tincknell ◽  
Christopher Canning
Keyword(s):  
Real Time ◽  
Systems Thinking ◽  
Visual Representation ◽  
Resource Flows ◽  
Time Resource

SAFER model: Strategic allocation of fundamental epidemic resources

2020 ◽  
Author(s):  
B W Weston ◽  
Z N Swingen ◽  
S Gramann ◽  
D Pojar
Keyword(s):  
Resource Allocation ◽  
Real Time ◽  
Community Based ◽  
Broad Distribution ◽  
Census Tracts ◽  
Milwaukee County ◽  
Strategic Allocation ◽  
Four Quadrant ◽  
Time Resource ◽  
Critical Resources

Abstract Background To describe the Strategic Allocation of Fundamental Epidemic Resources (SAFER) model as a method to inform equitable community distribution of critical resources and testing infrastructure. Methods The SAFER model incorporates a four-quadrant design to categorize a given community based on two scales: testing rate and positivity rate. Three models for stratifying testing rates and positivity rates were applied to census tracts in Milwaukee County, Wisconsin: using median values (MVs), cluster-based classification and goal-oriented values (GVs). Results Each of the three approaches had its strengths. MV stratification divided the categories most evenly across geography, aiding in assessing resource distribution in a fixed resource and testing capacity environment. The cluster-based stratification resulted in a less broad distribution but likely provides a truer distribution of communities. The GVs grouping displayed the least variation across communities, yet best highlighted our areas of need. Conclusions The SAFER model allowed the distribution of census tracts into categories to aid in informing resource and testing allocation. The MV stratification was found to be of most utility in our community for near real time resource allocation based on even distribution of census tracts. The GVs approach was found to better demonstrate areas of need.

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