Proceedings of the
European Safety and Reliability Conference (ESREL2026)
14 – 19 June 2026, Braga, Portugal

Zoonotic health risk assessment and nature-based solutions: a pluridisciplinary decision-support approach applied to dengue disease case study

Maria Agustina Aranda

Univ. Grenoble Alpes, CNRS, INRAE, IRD, Grenoble INP, IGE, 38000 Grenoble, France. UMR EPIA, INRAE, VetAgro Sup, University of Lyon, 69280 Marcy l'Etoile, France.

maria.aranda@vetagro-sup.fr

Christophe Bérenguer

Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, 38000 Grenoble, France.

Agnés Leblond

UMR EPIA, INRAE, VetAgro Sup, University of Lyon, 69280 Marcy l'Etoile, France.

Jean-Marc Tacnet

Univ. Grenoble Alpes, CNRS, INRAE, IRD, Grenoble INP, IGE, 38000 Grenoble, France.

ABSTRACT

Nature-based solutions (NbS) for climate change adaptation such as urban forests, sponge wet areas are classically recognized for both their physical capacities and their economic, environmental, social, and cultural co-benefits. However, in some cases, urban NbS may induce risks such as zoonosis emergence. Those potential negative impacts remain largely understudied. This study develops a framework to characterize induced infectious risks. An original multidisciplinary integrated approach associating epidemiology and safety-risk-decision techniques is proposed to assess infectious risk. The methodology is based on a literature review and expert interviews, followed by the formalization of dengue transmission processes and infectious risk definition. Infectious risk is then analyzed using bow-tie and event tree diagrams in collaboration with safety experts, and finally assessed through a multicriteria decision-making model. Preliminary infectious risk rankings are consistent when comparing one Lyon's experimental and one virtual site. Overall, assessment of infectious risks possibly associated with NbS may contribute in a more comprehensive and unbiased perspective to make better decisions about urban NbS implementation.

Keywords: Nature-based solutions, risk analysis, zoonosis, decision-support, One Health approach.



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