Evidence map›Paper›PMID 35986322›Full record

ArticleBMC health services research2022

Modelling vaccination capacity at mass vaccination hubs and general practice clinics: a simulation study.

Mark Hanly, Tim Churches, Oisín Fitzgerald, Ian Caterson, Chandini Raina MacIntyre, Louisa Jorm

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Review
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  7. Enhancing Mass Vaccination Programs with Queueing Theory and Spatial Optimization.medRxiv : the preprint server for health sciences · 2024
    Article
  8. Article
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  11. Public Health Management of the COVID-19 Pandemic in Australia: The Role of the Morrison Government.International journal of environmental research and public health · 2022
    Article
  12. Article
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  15. 3Journal of preventive medicine and hygiene · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mark HanlyCentre for Big Data Research in Health, UNSW Sydney, Level 2, AGSM (G27), Sydney, NSW, 2052, Australia. m.hanly@unsw.edu.au.
Tim ChurchesSouth Western Sydney Clinical School, Faculty of Medicine & Health, UNSW Sydney, Sydney, Australia.
Oisín FitzgeraldCentre for Big Data Research in Health, UNSW Sydney, Level 2, AGSM (G27), Sydney, NSW, 2052, Australia.
Ian CatersonProfessor Emeritus, SoLES, University of Sydney, Sydney, Australia.
Chandini Raina MacIntyreBiosecurity Research Program, The Kirby Institute UNSW Sydney, Sydney, Australia.
Louisa JormCentre for Big Data Research in Health, UNSW Sydney, Level 2, AGSM (G27), Sydney, NSW, 2052, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 mass vaccination programs place an additional burden on healthcare services. We aim to model the queueing process at vaccination sites to inform service delivery.

methodsWe use stochastic queue network models to simulate queue dynamics in larger mass vaccination hubs and smaller general practice (GP) clinics. We estimate waiting times and daily capacity based on a range of assumptions about appointment schedules, service times and staffing and stress-test these models to assess the impact of increased demand and staff shortages. We also provide an interactive applet, allowing users to explore vaccine administration under their own assumptions.

resultsBased on our assumed service times, the daily throughput for an eight-hour clinic at a mass vaccination hub ranged from 500 doses for a small hub to 1400 doses for a large hub. For GP clinics, the estimated daily throughput ranged from about 100 doses for a small practice to almost 300 doses for a large practice. What-if scenario analysis showed that sites with higher staff numbers were more robust to system pressures and mass vaccination sites were more robust than GP clinics.

conclusionsWith the requirement for ongoing COVID-19 booster shots, mass vaccination is likely to be a continuing feature of healthcare delivery. Different vaccine sites are useful for reaching different populations and maximising coverage. Stochastic queue networks offer a flexible and computationally efficient approach to simulate vaccination queues and estimate waiting times and daily throughput to inform service delivery.

Indexed as

COVID-19General PracticeAmbulatory Care FacilitiesHumansMass VaccinationVaccinationCOVID-19Health services researchQueuesStochastic network modelsVaccination

Identifiers

PMID35986322
PMCPMC9388987

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.