Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

102
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
102

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Medical patient boarding in the emergency department as a source of crowding and delay-related harm, impacting patient outcomes and the efficiency of urgent and emergency care.

Emergency medicine journal : EMJ·2026
Same author

Creating system-wide change in medicine: The role of implementation science in achieving scale and adoption.

Future healthcare journal·2025
Same author

Creating expert patients: outcomes from a national digital therapeutic approach for people with asthma in Wales.

NPJ primary care respiratory medicine·2025
Same author

A compartmental modelling methodology to support strategic decision making for managing the elective hospital waiting list; application in England's NHS.

Health care management science·2025
Same author

Improving uptake of population health management through scalable analysis of linked electronic health data.

Health informatics journal·2024
Same author

Data-Driven Exploration of National Health Service Talking Therapies Care Pathways Using Process Mining: Retrospective Cohort Study.

JMIR mental health·2024
Same journal

Designing a minimum-cost health system for countrywide universal coverage.

Health systems (Basingstoke, England)·2026
Same journal

Correction.

Health systems (Basingstoke, England)·2026
Same journal

Reliability of ChatGPT-4o in analysing medical data: a test case study on patients at risk for limb amputation.

Health systems (Basingstoke, England)·2026
Same journal

A multi-site big data analysis of factors impacting the time to disposition in pediatric mental and behavioural health emergency department visits.

Health systems (Basingstoke, England)·2026
Same journal

Outpatient chemotherapy planning and decision making: a systematic review.

Health systems (Basingstoke, England)·2026
Same journal

IT-enabled medicine dispensing in the community pharmacy: an action design research project.

Health systems (Basingstoke, England)·2026
See all related articles

Related Experiment Video

Updated: May 26, 2025

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training
05:04

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training

Published on: August 9, 2024

844

Improving COVID-19 vaccination centre operation through computer modelling and simulation.

Richard M Wood1,2, Simon J Moss1, Ben J Murch1

  • 1Modelling and Analytics, UK National Health Service (BNSSG ICB), Bristol, UK.

Health Systems (Basingstoke, England)
|February 24, 2025
PubMed
Summary
This summary is machine-generated.

Operational Research (OR) optimized COVID-19 mass vaccination centers. Simulation modeling informed site setup, patient bookings, and operational efficiency, enhancing vaccination delivery.

Keywords:
COVID-19Coronavirusmass vaccinationsimulation modellingvaccination centre

More Related Videos

Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.1K
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.7K

Related Experiment Videos

Last Updated: May 26, 2025

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training
05:04

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training

Published on: August 9, 2024

844
Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.1K
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

1.7K

Area of Science:

  • Operational Research
  • Public Health
  • Health Systems Management

Background:

  • Mass vaccination programs are critical for pandemic exit strategies.
  • Dedicated vaccination centers have been central to COVID-19 vaccine rollout.
  • Limited historical data exists for optimizing vaccination center operations.

Purpose of the Study:

  • To demonstrate the application of Operational Research in managing mass vaccination centers.
  • To provide insights into the operational configuration and decision-making for vaccination sites.
  • To evaluate the impact of modeling on vaccination center efficiency and resilience.

Main Methods:

  • Development of a conceptual pathway model for the vaccination process.
  • Utilizing discrete event simulation to approximate the vaccination pathway.
  • Applying simulation outputs to inform site setup and operational adjustments.

Main Results:

  • Model outputs influenced the initial setup and daily patient booking numbers for a vaccination center.
  • Analysis led to combining clinical assessment and vaccination activities, improving efficiency.
  • Modeling assessed pathway stability and resilience to disruptions like staff shortages.

Conclusions:

  • Operational Research and simulation modeling are valuable tools for optimizing mass vaccination center operations.
  • Data-driven insights can significantly improve patient flow, efficiency, and resilience.
  • These methods support informed decision-making for effective public health interventions.