Mobility Network Analysis of the Poultry Sector in Morocco: A Tool for the Surveillance and Prevention of Highly Pathogenic Avian Influenza
Veterinary Sciences·
- DOI
- 10.3390/vetsci13090858
- PMID
- —
- PMCID
- —
- OpenAlex
- —
- Study type
- Cross-sectional study
- Publisher
- MDPI AG
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The authors proposed using influential network nodes to target veterinary surveillance and control resources toward municipalities considered more likely to be involved in disease introduction or persistence, with relevance to poultry industry and public health protection.
Structured evidence summary
Research question
The study examined poultry-sector movement patterns in Morocco’s Casablanca-Settat region and whether the resulting network structure could inform risk-based surveillance and control of highly pathogenic avian influenza.
Study design
A questionnaire-based cross-sectional survey covered nine provinces and 138 municipalities. Poultry movements were analyzed using social network analysis, GIS visualization, and network analysis in R.
Population and setting
The study concerned poultry-sector transport movements across the Casablanca-Settat region of Morocco, recording 945 routes in 126 municipalities.
Main findings
Three municipalities were identified as influential network hubs by degree and betweenness centrality. Despite low overall network density, frequent bidirectional links and a heterogeneous structure were characterized as supporting potential rapid disease spread, with movement concentrated in a small number of hub municipalities.
Public-health relevance
The authors proposed using influential network nodes to target veterinary surveillance and control resources toward municipalities considered more likely to be involved in disease introduction or persistence, with relevance to poultry industry and public health protection.
Important limitations
The summary is limited to the supplied single-article abstract and metadata, which do not provide enough methodological or results detail for decision-grade interpretation; the original paper would be required.
GIDS interpretation
For discoverability, the article is indexed around influenza, Morocco, surveillance, and transmission dynamics. This classification provides context but does not establish any live surveillance signal or current outbreak status.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 8 auditable classifier relationships to diseases, places, topics, and study design.