On Medical Standardisation in Times of Scientific Uncertainty: The Management of Flu Epidemics by the French Military Medical Service After the World Pandemic (1920s–30s)

Using the example of anti-influenza struggle during the 1920s and 1930s, this article asks how the French armed forces health service developed and implemented standardised medical and prophylactic management to face it in times of uncertainty about the nature of the pathogen. The notion of standardisation is placed at the center of the analysis inquiring how exogeneous as endogenous knowledge, norms and practices combined to design the most robust prophylactic and therapeutic strategies possible and their limits. Standardisation is presented as a process of continuous improvement where progressive rationalization of prophylactic measures widely inspired by the Pasteurian school and the improvements in the medical management of influenza patients in a context of therapeutic trial and error required regular changes to standardisation. The article highlights how the proximity between military and civilian actors involved in the production of norms and standards enables us to observe a gradual alignment between medical theories, laboratory research, bedside clinics, preventive measures and treatments used with technical, bureaucratic and organizational systems for the benefit of public health policy.

Authors

Institutions

Publication Details

Journal
Engaging Science Technology and Society
Published
2024-12-01
DOI
https://doi.org/10.17351/ests2023.1403
Primary Topic
Historical Studies and Socio-cultural Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On Medical Standardisation in Times of Scientific Uncertainty: The Management of Flu Epidemics by the French Military Medical Service After the World Pandemic (1920s–30s)

Benoît Pouget
Engaging Science Technology and Society
Historical Studies and Socio-cultural Analysis
article

On Medical Standardisation in Times of Scientific Uncertainty: The Management of Flu Epidemics by the French Military Medical Service After the World Pandemic (1920s–30s)

Benoît Pouget
article en

Abstract

Using the example of anti-influenza struggle during the 1920s and 1930s, this article asks how the French armed forces health service developed and implemented standardised medical and prophylactic management to face it in times of uncertainty about the nature of the pathogen. The notion of standardisation is placed at the center of the analysis inquiring how exogeneous as endogenous knowledge, norms and practices combined to design the most robust prophylactic and therapeutic strategies possible and their limits. Standardisation is presented as a process of continuous improvement where progressive rationalization of prophylactic measures widely inspired by the Pasteurian school and the improvements in the medical management of influenza patients in a context of therapeutic trial and error required regular changes to standardisation. The article highlights how the proximity between military and civilian actors involved in the production of norms and standards enables us to observe a gradual alignment between medical theories, laboratory research, bedside clinics, preventive measures and treatments used with technical, bureaucratic and organizational systems for the benefit of public health policy.

Engaging Science Technology and SocietyVol. 10(1–2)
Aix-Marseille Université (FR)
Good health and well-being
Openalex Percentile: Top 59%
Historical Studies and Socio-cultural Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.