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

Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

1.8K
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...
1.8K
Concepts of Health and Illness01:29

Concepts of Health and Illness

16.4K
Health is a condition of the body, mind, and spirit where an individual remains free from illness. Similarly, wellness is an active state, including living a lifestyle that promotes physical, mental, and emotional health. Physical health is critical for the overall well-being and can be affected by lifestyle, activity level, diet, and behavior. The highest attainable standard of health is a fundamental and universal human right. Consider Lisa, a fifteen-year-old born with congenital...
16.4K
Causality in Epidemiology01:21

Causality in Epidemiology

1.2K
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.2K
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.4K
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...
2.4K
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

1.5K
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
1.5K
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

161
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
161

You might also read

Related Articles

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

Sort by
Same author

Multi-lifecycle Assessment of Close-loop Recyclable Wind Turbine Blades.

Materials circular economy·2026
Same author

Consequences of Academic Failure in Medical School: The Student's Perspective.

Cureus·2025
Same author

Demarcating scientific medicine.

Studies in history and philosophy of science·2024
Same author

The argument framework is a flexible approach to evidence in healthcare.

Nature medicine·2024
Same author

Preventive and Curative Medical Interventions.

Synthese·2022
Same author

Conceptual lessons for containing an epidemic of questionable COVID-19 counterfactual comparisons.

Journal of epidemiology and community health·2021

Related Experiment Video

Updated: Nov 11, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.5K

What are the COVID-19 models modeling (philosophically speaking)?

Jonathan Fuller1

  • 1Department of History and Philosophy of Science, University of Pittsburgh, Pittsburgh, PA, USA. JPF53@pitt.edu.

History and Philosophy of the Life Sciences
|March 26, 2021
PubMed
Summary

This study explores COVID-19 epidemic models, examining their predictive capabilities, causal nature, and representational differences. It delves into the philosophical implications for scientific understanding of epidemics.

Keywords:
COVID-19Compartment modelsEpidemics

More Related Videos

Author Spotlight: Studying Host-Virus Interactions with Pseudotyped Viruses
05:49

Author Spotlight: Studying Host-Virus Interactions with Pseudotyped Viruses

Published on: November 21, 2023

2.1K
Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2
08:41

Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2

Published on: November 5, 2021

3.0K

Related Experiment Videos

Last Updated: Nov 11, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.5K
Author Spotlight: Studying Host-Virus Interactions with Pseudotyped Viruses
05:49

Author Spotlight: Studying Host-Virus Interactions with Pseudotyped Viruses

Published on: November 21, 2023

2.1K
Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2
08:41

Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2

Published on: November 5, 2021

3.0K

Area of Science:

  • Philosophy of Science
  • Epidemiology
  • Mathematical Modeling

Background:

  • The COVID-19 pandemic highlighted the critical role of epidemic models in public health.
  • These models generate significant scientific and philosophical questions regarding their interpretation and application.

Purpose of the Study:

  • To explore key philosophical questions surrounding COVID-19 epidemic models.
  • To analyze the nature of predictions made by these models.
  • To investigate whether epidemic models function as causal models.
  • To differentiate various epidemic models based on their representational frameworks.

Main Methods:

  • Conceptual analysis of COVID-19 epidemic models.
  • Philosophical inquiry into prediction, causality, and representation in scientific modeling.

Main Results:

  • Preliminary exploration of the types of predictions generated by epidemic models.
  • Discussion on the causal status of epidemic models.
  • Identification of differences in what various epidemic models represent.

Conclusions:

  • COVID-19 epidemic models present complex challenges for scientific and philosophical understanding.
  • Further investigation is needed to fully address the nature of prediction, causality, and representation in epidemic modeling.