Shaping epidemic dynamics: An historical epistemology study of the SIR model

This article traces the history of the Susceptible, Infected, Recovered (SIR) model in early 20th-century epidemiology (1904–27). The aim is to test the hypothesis that the active stance taken by Ross, Hudson, McKendrick, and Kermack represents a turn in the history of modern epidemiology, shifting the classical method of statistical epidemiology from a data-based model to a theory-based model. The article shows that epidemiological modeling is based on a mathematical simplification of epidemics at the time of the microbiological complexification of epidemiology. What were the implications of the mathematical theory of epidemics for the development of modern epidemiology? How can epidemic dynamics be expressed mathematically without compromising the biological representation? This is exactly what is at stake here: from the work of Ross to the standardization of the SIR model by McKendrick and Kermack, modeling has been confronted with the problem of relating its equations to the facts.

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Publication Details

Journal
History of the Human Sciences
Published
2025-02-21
DOI
https://doi.org/10.1177/09526951251317104
Citations
4
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
5.47
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article

Shaping epidemic dynamics: An historical epistemology study of the SIR model

Mathieu Corteel
4 citations
History of the Human Sciences
COVID-19 epidemiological studies
5.47
article

Shaping epidemic dynamics: An historical epistemology study of the SIR model

Mathieu Corteel
article en
4 citations

Abstract

This article traces the history of the Susceptible, Infected, Recovered (SIR) model in early 20th-century epidemiology (1904–27). The aim is to test the hypothesis that the active stance taken by Ross, Hudson, McKendrick, and Kermack represents a turn in the history of modern epidemiology, shifting the classical method of statistical epidemiology from a data-based model to a theory-based model. The article shows that epidemiological modeling is based on a mathematical simplification of epidemics at the time of the microbiological complexification of epidemiology. What were the implications of the mathematical theory of epidemics for the development of modern epidemiology? How can epidemic dynamics be expressed mathematically without compromising the biological representation? This is exactly what is at stake here: from the work of Ross to the standardization of the SIR model by McKendrick and Kermack, modeling has been confronted with the problem of relating its equations to the facts.

History of the Human Sciences
Harvard University (US), Institut d'Etudes Politiques de Paris (FR)
Openalex Percentile: Top 5%
COVID-19 epidemiological studies
5.47
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