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Related Concept Videos

Principles of Disease Surveillance01:26

Principles of Disease Surveillance

Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
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Related Experiment Video

Updated: Jun 8, 2026

Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes
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Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes

Published on: September 27, 2014

VirSim - a model to support pandemic policy making.

Tobias Fasth1, Marcus Ihlar, Lisa Brouwers

  • 1Stockholm University, Department of Computer and Systems Sciences, Solna, Sweden.

Plos Currents
|September 30, 2010
PubMed
Summary

A new simulation model, VirSim, aids Swedish pandemic influenza policy. It quickly forecasts societal impact and compares intervention strategies, complementing existing models.

Area of Science:

  • Epidemiology
  • Public Health
  • Health Policy

Background:

  • Pandemic influenza preparedness requires effective policy-making tools.
  • Existing models like MicroSim can be time-consuming.
  • There is a need for rapid, interactive simulation models for public health policy.

Purpose of the Study:

  • To develop and evaluate VirSim, a simulation model for pandemic influenza.
  • To provide a quick and implementable tool for Swedish public health authorities.
  • To assess the utility of System Dynamics models in policy-making.

Main Methods:

  • Developed VirSim, a System Dynamics simulation model.
  • Utilized real population data at national and regional levels in Sweden.
  • Focused on interactive investigation of assumptions and intervention strategies.

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10:11

Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes

Published on: September 27, 2014

Main Results:

  • VirSim proved effective for comparing intervention strategies.
  • The model accurately forecasted societal burden, including hospitalization and absenteeism.
  • VirSim demonstrated utility as a complement to more detailed models.

Conclusions:

  • System Dynamics models like VirSim are valuable for public policy-making.
  • VirSim offers a rapid and interactive approach to pandemic influenza preparedness.
  • The model supports evidence-based decision-making for public health interventions.