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An examination of the effectiveness of group control charts for monitoring COVID-19 data in Michigan

Abstract Number:

3837 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Speed 

Participants:

Paul Stephenson (1), Ashley Grace Davies (2)

Institutions:

(1) Grand Valley State University, N/A, (2) Grand Valley State Unniversity, N/A

Co-Author:

Ashley Grace Davies  
Grand Valley State Unniversity

First Author:

Paul Stephenson  
Grand Valley State University

Presenting Author:

Paul Stephenson  
Grand Valley State University

Abstract Text:

Incidence data for COVID-19 was collected by county across the state of Michigan. This data can be standardized such that statistics computed for each county can be assumed to follow the same distribution. One can then plot the largest and smallest statistics at a given timepoint on a group control chart. The authors will present the development of two group control chart that could be used to monitor county (or geospatial) data for the state of Michigan. The authors will then demonstrate the usage of this group control chart using incidence data for COVID-19. The authors will also examine the impact of policy decisions (enacted by the Governor and the legislature) on the spread of COVID-19.

Keywords:

Statistical Process Control|COVID-19 incidence data|Group Control Charts| | |

Sponsors:

Quality and Productivity Section

Tracks:

Statistical Process Control and Quality Assurance

Can this be considered for alternate subtype?

Yes

Are you interested in volunteering to serve as a session chair?

Yes

I have read and understand that JSM participants must abide by the Participant Guidelines.

Yes

I understand that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is non-refundable.

I understand