Guillaume Fournié · Royal Society Open Science 2017 · mathematical transmission modeling study · n=?

Early animal farming and zoonotic disease dynamics: modelling brucellosis transmission in Neolithic goat populations

Cited 87 times in the scientific literature.

Level 5 - mechanism / opinion, no new human data

Level 5 by design analogy (mathematical transmission modeling informed by archaeological demographic estimates).

OpenAlex W2588428660 · doi:10.1098/rsos.160943 · record verified 2026-08-27

What was done

Researchers developed a mathematical model simulating the transmission dynamics of *Brucella melitensis* within early domestic goat populations. The model was parameterized using archaeological demographic data from Neolithic settlements in the Fertile Crescent to evaluate whether early farming conditions and herd management strategies could sustain the pathogen.

What was found

The simulation indicated that domestic goat populations could maintain *B. melitensis* circulation even under low baseline transmission rates. This persistence was driven by increased population density and altered herd demographics, particularly the selective harvesting of young male goats. Probable contact and trade between neighboring Neolithic settlements further enhanced pathogen maintenance. Specific numerical values and parameter estimates were not reported in the abstract.

Why it matters

The study offers a mechanistic framework linking the origins of animal husbandry and specific livestock management strategies to the establishment of endemic zoonotic reservoirs and subsequent human disease exposure.

Limits

The abstract reports no quantitative estimates or confidence metrics. As a theoretical simulation, conclusions depend heavily on model assumptions and indirect archaeological proxies rather than direct biomolecular or paleopathological evidence of infection.

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