Related Experiment Video
Updated: Jun 4, 2026
09:07
Using Zebrafish Models of Human Influenza A Virus Infections to Screen Antiviral Drugs and Characterize Host Immune Cell Responses
Published on: January 20, 2017
Pandemic influenza: Modelling and public health perspectives
Julien Arino1, Chris Bauch, Fred Brauer
1Department of Mathematics, University of Manitoba, Winnipeg, MB, Canada. arinoj@cc.umanitoba.ca
Mathematical Biosciences and Engineering : MBE
|March 3, 2011
Summary
Mathematical models aid in studying disease epidemics, especially pandemic influenza. Applying these models to real-world public health challenges presents unique complications.
Area of Science:
- Epidemiology
- Mathematical Biology
- Public Health
Background:
- Mathematical models are crucial tools for understanding and predicting disease epidemics.
- Pandemic influenza poses a significant global health threat, necessitating robust predictive capabilities.
Purpose of the Study:
- To detail the application of mathematical models in epidemic studies.
- To specifically focus on the use of these models for pandemic influenza.
- To explore the practical challenges of implementing mathematical models in public health.
Main Methods:
- Review of mathematical modeling techniques used in epidemiology.
- Analysis of case studies in pandemic influenza.
- Examination of real-world public health data and scenarios.
Main Results:
- Mathematical models provide a framework for analyzing epidemic dynamics.
- Specific modeling approaches are effective for pandemic influenza.
- Significant complexities arise when translating theoretical models to practical outbreak management.
Conclusions:
- Mathematical modeling is indispensable for epidemic research and pandemic influenza.
- Effective application requires addressing real-world public health constraints.
- Further research is needed to bridge the gap between model theory and practice.
Related Concept Videos
01:28Infectious Diseases and Their Occurrence
Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable temporal or...
01:18Steps 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:
01:27Influenza
Influenza is an acute, highly communicable viral disease that affects the respiratory tract and is responsible for seasonal epidemics worldwide. Influenza A is the most prevalent type associated with widespread outbreaks and is subtyped based on two surface glycoproteins: hemagglutinin (H) and neuraminidase (N), as in H1N1. These glycoproteins are essential for viral infectivity, transmission, and immune recognition. Transmission occurs primarily through respiratory droplets and contaminated...
01:18Models 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...
The agent-host-environment model states that disease results from...
01:25Models 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...
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
01:15Impact 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).