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What are the COVID-19 models modeling (philosophically speaking)?
1Department of History and Philosophy of Science, University of Pittsburgh, Pittsburgh, PA, USA. JPF53@pitt.edu.
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.
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.
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