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

Vaccinations01:51

Vaccinations

45.4K
Overview
45.4K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

227
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:
227
One-Compartment Open Model for IV Bolus Administration: Estimation of Elimination Rate Constant, Half-Life and Volume of Distribution01:09

One-Compartment Open Model for IV Bolus Administration: Estimation of Elimination Rate Constant, Half-Life and Volume of Distribution

532
The one-compartment open model is a simplified approach used in pharmacokinetics to understand the distribution and elimination of a drug administered through an intravenous bolus. This model assumes rapid drug dispersal throughout the body and elimination using a first-order process. Key pharmacokinetic parameters, such as the elimination rate constant (k), half-life (t1/2), and the apparent volume of distribution (Vd), can be estimated from this model. The elimination rate is calculated...
532
Estimating Population Mean with Unknown Standard Deviation01:22

Estimating Population Mean with Unknown Standard Deviation

8.3K
In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
William S. Gosset (1876–1937) of the...
8.3K
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

157
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
157
One-Compartment Open Model for IV Bolus Administration: Estimation of Clearance00:56

One-Compartment Open Model for IV Bolus Administration: Estimation of Clearance

153
Clearance is a key pharmacokinetic parameter that quantifies the volume of body fluid from which a drug is entirely removed within a specific time frame. It is crucial in assessing how a drug is eliminated from the body and has critical clinical applications.
In the one-compartment open model for intravenous (IV) bolus administration, clearance is estimated by dividing the elimination rate by the plasma drug concentration. This equation leverages the elimination rate constant and the apparent...
153

You might also read

Related Articles

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

Sort by
Same author

Evaluating the social return on investment of nature-based social prescribing to alleviate loneliness: a randomized controlled trial in Barcelona.

Frontiers in public health·2026
Same author

Cost-effectiveness Analysis of Xpert MTB/RIF Ultra for the Diagnosis of HIV-Associated Tuberculous Meningitis.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026
Same author

Efficacy of home treatment and inpatient treatment for children and adolescents in psychiatric crisis: a systematic review and meta-analysis.

European child & adolescent psychiatry·2026
Same author

Impact of the COVID-19 pandemic on diagnosis, and healthcare utilization, among patients with cancer (lung, breast, and pancreas) and cardiovascular diseases (HF, AF, hypertensive, and chronic ischemic heart disease) in Germany: two systematic reviews.

Systematic reviews·2026
Same author

Protocol for the health economic evaluation of nature-based social prescribing against loneliness alongside the RECETAS trials.

BMC public health·2026
Same author

Risk-stratified cancer screening: A consensus-based conceptual framework from EUCanScreen.

European journal of cancer (Oxford, England : 1990)·2026

Related Experiment Video

Updated: Sep 24, 2025

Author Spotlight: Optimizing CFU Determination for Efficient Assessment of TB Vaccine Efficacy and Antigen Presentation Analysis
06:26

Author Spotlight: Optimizing CFU Determination for Efficient Assessment of TB Vaccine Efficacy and Antigen Presentation Analysis

Published on: July 28, 2023

2.4K

An iterative algorithm for optimizing COVID-19 vaccination strategies considering unknown supply.

Martin Bicher1, Claire Rippinger2, Melanie Zechmeister3

  • 1Institute for Information Systems Engineering, TU Wien, Vienna, Austria.

Plos One
|May 2, 2022
PubMed
Summary
This summary is machine-generated.

This study developed a robust vaccine prioritization algorithm for the SARS-CoV-2 pandemic. The method ensures optimal vaccine distribution regardless of dose availability, prioritizing vulnerable groups and the elderly.

More Related Videos

Fabrication of Pulsatile Polymeric Microparticles Encapsulating Rabies Antigen
07:44

Fabrication of Pulsatile Polymeric Microparticles Encapsulating Rabies Antigen

Published on: May 12, 2023

1.3K
Optimization of In vitro Transcription Reaction for mRNA Production Using Chromatographic At-Line Monitoring
07:04

Optimization of In vitro Transcription Reaction for mRNA Production Using Chromatographic At-Line Monitoring

Published on: April 4, 2025

1.1K

Related Experiment Videos

Last Updated: Sep 24, 2025

Author Spotlight: Optimizing CFU Determination for Efficient Assessment of TB Vaccine Efficacy and Antigen Presentation Analysis
06:26

Author Spotlight: Optimizing CFU Determination for Efficient Assessment of TB Vaccine Efficacy and Antigen Presentation Analysis

Published on: July 28, 2023

2.4K
Fabrication of Pulsatile Polymeric Microparticles Encapsulating Rabies Antigen
07:44

Fabrication of Pulsatile Polymeric Microparticles Encapsulating Rabies Antigen

Published on: May 12, 2023

1.3K
Optimization of In vitro Transcription Reaction for mRNA Production Using Chromatographic At-Line Monitoring
07:04

Optimization of In vitro Transcription Reaction for mRNA Production Using Chromatographic At-Line Monitoring

Published on: April 4, 2025

1.1K

Area of Science:

  • Epidemiology
  • Public Health
  • Computational Modeling

Background:

  • The SARS-CoV-2 pandemic necessitates strategic vaccine distribution under uncertainty.
  • Policy decisions for vaccine prioritization must be made prospectively with limited dose information.

Purpose of the Study:

  • To develop an iterative optimization algorithm for robust vaccine subgroup prioritization.
  • To create a method that ensures optimal vaccine allocation irrespective of available dose quantities.

Main Methods:

  • An optimization meta-heuristic integrated into a simulation-optimization framework.
  • Application with an agent-based epidemiological model to simulate vaccine distribution impacts.
  • Inputting prioritization plans and outputting key health metrics like deaths and hospitalizations.

Main Results:

  • The developed algorithm generates a highly robust and universally optimal vaccination prioritization plan.
  • A case study in Austria prioritized individuals aged 65+ and vulnerable groups to minimize COVID-19 burden.
  • The prioritization strategy aligns with international public health policy recommendations.

Conclusions:

  • The iterative optimization algorithm provides a path-dependent optimum suitable for real-world decision-making under uncertainty.
  • The approach strengthens the applicability of proactive vaccination strategies in public health emergencies.
  • The method effectively addresses the challenge of vaccine distribution during pandemics.