Spatial risk mapping of highly pathogenic avian influenza in Morocco using geographic information system and multi-criteria decision analysis: Implications for targeted surveillance and control
This study provides the first comprehensive spatial risk maps of HPAI introduction and spread in Morocco, highlighting priority provinces for early detection, targeted surveillance, and preventive biosecurity measures. Despite limitations arising from reliance on LPAI data and expert judgment, the approach offers a robust decision-support tool for veterinary authorities. The methodology is adaptable to regional applications and can be refined with real-time surveillance data, enhancing Morocco's preparedness and resilience against future avian influenza incursions.
Authors
- Hicham Hajji (ORCID: https://orcid.org/0000-0001-9026-8980)
- Mariette Ducatez (ORCID: https://orcid.org/0000-0001-9632-5499)
- Siham Fellahi (ORCID: https://orcid.org/0000-0002-1803-3746)
- Kenza Aitelkadi (ORCID: https://orcid.org/0000-0002-4233-1292)
- Oumayma Arbani (ORCID: https://orcid.org/0009-0003-6726-000X)
- Fadoua Boudouma (ORCID: https://orcid.org/0009-0001-9704-2914)
Institutions
- École Nationale Vétérinaire de Toulouse (FR)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Interactions hôtes-agents pathogènes (FR)
- Institut Agronomique et Vétérinaire Hassan II (MA)
Publication Details
- Journal
- Veterinary World
- Published
- 2025-12-01
- DOI
- https://doi.org/10.14202/vetworld.2025.3713-3730
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Institut Agronomique et Vétérinaire Hassan II
- Université Mohammed VI Polytechnique
- European Commission
- Fondation OCP