SOURCE-LINKED INTELLIGENCE
A Novel Understanding of Pandemic Disease in Preindustrial Europe (1300-1800): Combining History, Machine Learning and Natural Sciences
A Novel Understanding of Pandemic Disease in Preindustrial Europe (1300-1800): Combining History, Machine Learning and Natural Sciences Born from years of interdisciplinary collaboration, EUROpest aims to articulate the complex ways in which social-ecological systems shape epidemics. It builds on resilience and actor-network theories to advance its own eco-bio-social paradigm that embraces a multi-causal understanding of disease transmission and disease impacts on human societies and ecosystems. While striving to develop and validate a general theoretical model, it takes the well-documented and highly diverse world of late medieval and early modern Europe as its laboratory – investigating its interconnected climatic, cultural, demographic, economic, ecological, and pathogenic history. With regard to the latter, EUROpest assumes malaria, smallpox, tuberculosis and enteric diseases were major components of a disease baseline over which the most devastating disease, plague (Y. pestis),
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 9999375
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.