Identification of risk areas for avian influenza outbreaks in domestic poultry in Mali using the GIS-MCDA approach.

ABSTRACT: Mali is a country where little information is known about the circulation of avian influenza viruses (AIVs) in poultry. Implementing risk-based surveillance strategies would allow early detection and rapid control of AIVs outbreaks in the country. In this study, we implemented a multi-criteria decision analysis (MCDA) method coupled with geographic information systems (GIS) to identify risk areas for AIVs occurrence in domestic poultry in Mali. Five risk factors associated with AIVs occurrence were identified from the literature, and their relative weights were determined using the analytic hierarchy process (AHP). Spatial data were collected for each risk factor and processed to produce risk maps for AIVs outbreaks using a weighted linear combination (WLC). We identified the southeast reg

SUBMITTER: Sanogo IN 

PROVIDER: S-EPMC11626446 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature