Related Experiment Video
Updated: Feb 28, 2026
12:22
Culturing and Applications of Rotating Wall Vessel Bioreactor Derived 3D Epithelial Cell Models
Published on: April 3, 2012
27.2K
Modelling cultural responses to disease spread in Neolithic Trypillia mega-settlements
R Alexander Bentley1,2, Simon Carrignon3, Bisserka Gaydarska4
1Department of Anthropology, University of Tennessee, Knoxville, TN37996, USA.
Journal of the Royal Society, Interface
|February 26, 2026
Summary
Social distancing in early agricultural societies, like the Trypillia mega-settlements, likely offered protection against zoonotic diseases. This study used epidemiological models to show how reduced density and interaction lowered infection risk, influencing settlement patterns.
Area of Science:
- Archaeology
- Epidemiology
- Anthropology
Background:
- Zoonotic diseases emerged with early agriculture, posing risks in dense settlements.
- The Trypillia mega-settlements (after 4000 BC) experienced increased disease pressure in the Black Sea region.
Purpose of the Study:
- To investigate the adaptive benefits of social distancing strategies in Trypillia mega-settlements.
- To explore the impact of disease on population density fluctuations before and after 3600 BCE.
Main Methods:
- Utilized susceptible-infected-recovered-susceptible (SIRS) epidemiological models.
- Applied models to clustered networks and a site plan of a Trypillia mega-settlement.
Main Results:
- Decreasing occupation density and inter-community interactions conferred adaptive benefits against disease.
- Identified critical thresholds in density and interaction frequency.
Conclusions:
- Disease was a significant factor shaping human settlement patterns during the late Neolithic.
- Social distancing strategies likely played a role in the survival and population dynamics of early agricultural communities.
Keywords:
ancient diseasecultural evolutionepidemiologysocial distancingsusceptible-infected-recovered-susceptibleMore Related Videos
Related Concept Videos
01:18Steps in Outbreak Investigation
644
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:
644
01:18Models of Health Promotion and Illness Prevention II
2.2K
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
The agent-host-environment model states that disease results...
2.2K