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Super-spreaders: a historical review.
1Department of History, Tel Aviv University, Tel Aviv, Israel.
The Lancet. Infectious Diseases
|June 23, 2023
Summary
The concept of super-spreaders has evolved significantly since its origins in early 20th-century disease outbreak analyses. Its meaning has shifted from early models to understanding airborne transmission and network dynamics in epidemics.
Area of Science:
- Epidemiology
- History of Medicine
- Infectious Disease Dynamics
Background:
- The term 'super-spreader' has a complex and evolving history, with varied applications.
- Early concepts focused on gastrointestinal diseases, later shifting to airborne transmission (influenza, tuberculosis).
- The term's definition has fluctuated, encompassing mathematical models, sexually transmitted infections, and network theory.
Purpose of the Study:
- To reconstruct the historical development of the super-spreader concept.
- To analyze the diversification and changing meanings of super-spreading in epidemiology.
- To provide insight into the current multifaceted use of the term.
Main Methods:
- Historical review of epidemiological literature and concepts.
- Analysis of the evolution of epidemic modeling, from early stochastic models to network-based approaches.
- Tracing the term's usage across different diseases and contexts, including gastrointestinal, airborne, and sexually transmitted infections.
Main Results:
- The concept originated from early 20th-century outbreak analyses, initially focusing on non-respiratory diseases.
- Key events like the 1957-58 influenza pandemic and studies on tuberculosis highlighted airborne transmission and infectivity heterogeneity.
- The term 'super-spreader' was coined in 1972 and later adapted to explain disease persistence in vaccinated populations and network structures.
Conclusions:
- The understanding and application of 'super-spreader' have diversified significantly over time.
- Its historical trajectory reveals shifts in epidemiological focus from disease carriers to transmission dynamics and network influence.
- Understanding this history is crucial for interpreting its current, varied uses in disease control and research.
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