Publication

The impact of opening dedicated clinics on disease transmission during an influenza pandemic

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Last modified
  • 05/15/2025
Type of Material
Authors
    Pengyi Shi, Purdue UniversityJia Yan, Georgia Institute of TechnologyPinar Keskinocak, Emory UniversityAndrea Shane, Emory UniversityJulie L. Swann, North Carolina State University
Language
  • English
Date
  • 2020-08-06
Publisher
  • Public Library of Science
Publication Version
Copyright Statement
  • © 2020 Shi et al.
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 15
Issue
  • 8
Start Page
  • e0236455
End Page
  • e0236455
Grant/Funding Information
  • This research has been supported in part by a seed grant from Georgia Tech and by the following Georgia Tech benefactors: William W. George, Andrea Laliberte, Claudia L. and J. Paul Raines, and Richard E. “Rick” and Charlene Zalesky.
  • This research has also been supported by Edward P. Fitts and the A. Doug Allison Distinguished Professorship.
Supplemental Material (URL)
Abstract
  • Dedicated clinics can be established in an influenza pandemic to isolate people and potentially reduce opportunities for influenza transmission. However, their operation requires resources and their existence may attract the worried-well. In this study, we quantify the impact of opening dedicated influenza clinics during a pandemic based on an agent-based simulation model across a time-varying social network of households, workplaces, schools, community locations, and health facilities in the state of Georgia. We calculate performance measures, including peak prevalence and total attack rate, while accounting for clinic operations, including timing and location. We find that opening clinics can reduce disease spread and hospitalizations even when visited by the worried-well, open for limited weeks, or open in limited locations, and especially when the clinics are in operation during times of highest prevalence. Specifically, peak prevalence, total attack rate, and hospitalization reduced 0.07 0.32%, 0.40 1.51%, 0.02 0.09%, respectively, by operating clinics for the pandemic duration.
Author Notes
Keywords
Research Categories
  • Health Sciences, Epidemiology
  • Health Sciences, Public Health
  • Engineering, System Science

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