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

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:
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...
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.
The agent-host-environment model states that disease results from...
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
Investigation of Disease Outbreaks01:23

Investigation of Disease Outbreaks

Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...
Modeling with Differential Equations01:25

Modeling with Differential Equations

Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...

You might also read

Related Articles

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

Sort by
Same author

Infestation rates of lice Lepeophtheirus salmonis and Caligus elongatus on Atlantic salmon in fixed and towed sentinel cages.

Diseases of aquatic organisms·2023
Same author

Modelling temperature and fish biomass data to predict annual Scottish farmed salmon, Salmo salar L., losses: Development of an early warning tool.

Preventive veterinary medicine·2020
Same author

The contact structure of Great Britain's salmon and trout aquaculture industry.

Epidemics·2019
Same author

Assessment of Different Transfection Parameters in Efficiency Optimization.

Cell transplantation·2017
Same author

A historical review of the key bacterial and viral pathogens of Scottish wild fish.

Journal of fish diseases·2017
Same author

The effect of dietary linoleic acid on the fatty acid composition of individual phospholipid and lipoxygenase products from gills and leucocytes of Atlantic salmon (Salmo salar).

Lipids·2016
Same journal

Review of Ebola virus infections in domestic animals.

Developments in biologicals·2013
Same journal

Ebola: facing a new transboundary animal disease?

Developments in biologicals·2013
Same journal

Opportunities in diagnostic and vaccine approaches to mitigate potential heartwater spreading and impact on the American mainland.

Developments in biologicals·2013
Same journal

Q fever diagnosis and control in domestic ruminants.

Developments in biologicals·2013
Same journal

Schmallenberg virus.

Developments in biologicals·2013
Same journal

Classical swine fever.

Developments in biologicals·2013
See all related articles

Related Experiment Video

Updated: Jul 7, 2026

Remote Laboratory Management: Respiratory Virus Diagnostics
14:56

Remote Laboratory Management: Respiratory Virus Diagnostics

Published on: April 6, 2019

Modelling for disease preparedness and response.

A G Murray1, R S Raynard

  • 1Fisheries Research Services Marine Laboratory, Aberdeen, UK. murrays@marlab.ac.uk

Developments in Biologicals
|March 1, 2008
PubMed
Summary
This summary is machine-generated.

Disease modelling aids understanding and control, especially for import risk analysis and rapid outbreak detection. Simple, varied models are more effective than one complex model for managing epidemics.

Related Experiment Videos

Last Updated: Jul 7, 2026

Remote Laboratory Management: Respiratory Virus Diagnostics
14:56

Remote Laboratory Management: Respiratory Virus Diagnostics

Published on: April 6, 2019

Area of Science:

  • Epidemiology
  • Mathematical Biology
  • Public Health

Background:

  • Disease modelling is crucial for understanding and controlling disease spread.
  • Data limitations in emergencies can challenge detailed model validation.
  • Modelling offers practical benefits for disease management when objectives are realistic.

Purpose of the Study:

  • To explore the utility of various modelling approaches in disease management.
  • To highlight the role of modelling in import risk analysis and surveillance.
  • To assess the application of different models in epidemic control and impact assessment.

Main Methods:

  • Utilizing SIR-style epidemiological models for disease spread.
  • Employing contact network models and disease control zone models.
  • Incorporating economic and ecological models for outbreak impact assessment.

Main Results:

  • Modelling can effectively minimize outbreak risks through import analysis.
  • Surveillance data power is maximized for rapid outbreak detection.
  • Simple, diverse models are often more practical than single comprehensive ones.

Conclusions:

  • Disease modelling, particularly with simpler approaches, is valuable for managing epidemics.
  • Effective use of modelling aids in minimizing outbreak scale and assessing impact.
  • Strategic application of modelling enhances disease surveillance and control efforts.