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Related Concept Videos

Steps in Outbreak Investigation01:18

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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:
Causality in Epidemiology01:21

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Infectious Diseases and Their Occurrence01:28

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Confounding in Epidemiological Studies01:27

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Related Experiment Video

Updated: May 8, 2026

A New Method for Inducing a Depression-Like Behavior in Rats
07:57

A New Method for Inducing a Depression-Like Behavior in Rats

Published on: February 22, 2018

Contagion: epidemiological models and financial crises.

Robert Peckham1

  • 1Centre for the Humanities and Medicine, Faculty of Arts and Li Ka Shing Faculty of Medicine, B926, 9F, Run Run Shaw Tower, Centennial Campus, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, China.

Journal of Public Health (Oxford, England)
|August 23, 2013
PubMed
Summary

Economists use disease epidemiology models to understand financial contagion. However, this analogy can distort financial and public health systems due to inherent differences and context-specific models.

Keywords:
analogic modelsnetworkspublic healthrisk

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Last Updated: May 8, 2026

A New Method for Inducing a Depression-Like Behavior in Rats
07:57

A New Method for Inducing a Depression-Like Behavior in Rats

Published on: February 22, 2018

Area of Science:

  • Economics
  • Epidemiology
  • Financial Systems Analysis

Background:

  • Economists have increasingly adopted epidemiological models since the 1990s to analyze financial system shocks.
  • The concept of 'contagion' in finance draws parallels with infectious disease spread.
  • Epidemiological modeling has influenced understanding of financial risk and stability.

Purpose of the Study:

  • To examine the application of epidemiological models in financial economics.
  • To assess the benefits and limitations of using disease analogies in finance.
  • To explore potential distortions and repercussions of this interdisciplinary approach.

Main Methods:

  • Comparative analysis of biological and financial systems.
  • Literature review of economic and epidemiological modeling.
  • Critical evaluation of the analogy between disease spread and financial contagion.

Main Results:

  • While analogizing can be fruitful, it may distort understanding due to fundamental differences between biological and financial systems.
  • Context-specific epidemiological models may not translate effectively to financial contexts.
  • Misconstruing public health aims in financial analyses can have negative repercussions for public health efficacy.

Conclusions:

  • The analogy between epidemiology and financial contagion, while insightful, requires careful consideration of system differences.
  • Over-reliance on context-specific epidemiological models can weaken the analogy's validity.
  • Potential misinterpretations in financial analyses may impact public health strategies.