Enhancing mass vaccination programs with queueing theory and spatial optimization

One should consider losses from queueing to optimally place mass vaccination sites, even when empirically derived queueing parameters are not available. Due to the negative impacts of excessive wait times on participant satisfaction, reducing queueing attrition is also expected to yield downstream benefits and improve vaccination coverage in subsequent mass vaccination campaigns.

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Publication Details

Journal
Frontiers in Public Health
Published
2024-12-24
DOI
https://doi.org/10.3389/fpubh.2024.1440673
Citations
4
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
1.58

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article

Enhancing mass vaccination programs with queueing theory and spatial optimization

Elvis W. Díaz, Ricardo Castillo-Neyra, Sherrie Xie, Michael Z. Levy et al.
4 citations
Frontiers in Public Health
COVID-19 epidemiological studies
1.58
article

Enhancing mass vaccination programs with queueing theory and spatial optimization

Elvis W. Díaz, Ricardo Castillo-Neyra, Sherrie Xie, Michael Z. Levy, Bhaswar B. Bhattacharya, Maria Rieders, Srisa Changolkar
article en
4 citations

Abstract

One should consider losses from queueing to optimally place mass vaccination sites, even when empirically derived queueing parameters are not available. Due to the negative impacts of excessive wait times on participant satisfaction, reducing queueing attrition is also expected to yield downstream benefits and improve vaccination coverage in subsequent mass vaccination campaigns.

Frontiers in Public HealthVol. 12
Universidad Peruana Cayetano Heredia (PE), University of Pennsylvania (US)
National Institute of Allergy and Infectious Diseases
Good health and well-being
Openalex Percentile: Top 17%
COVID-19 epidemiological studies
1.58
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