ArticleScientific reports2016
Quantitative assessment of a spatial multicriteria model for highly pathogenic avian influenza H5N1 in Thailand, and application in Cambodia.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quantitative risk assessment for infectious disease introduction in animal populations: a comprehensive review.Frontiers in veterinary science · 2025Pooled it
- From fragmentation to coordination: strengthening One Health research to support H5N1 preparedness in Cambodia.IJID regions · 2026Review
- Risk mapping of peste des petits ruminants virus spread in nine countries surrounding the black sea: a spatial multicriteria decision analysis approach.Frontiers in veterinary science · 2026Article
- Mapping heartwater risk in Guadeloupe using a combination of spatial modelling approaches.Scientific reports · 2025Article
- Development of a zoonotic influenza distribution assessment and ranking system (ZIDAR): Technical application in Nepal to support cross-sectoral risk-based surveillance.One health (Amsterdam, Netherlands) · 2025Article
- Identification of risk areas for avian influenza outbreaks in domestic poultry in Mali using the GIS-MCDA approach.Epidemiology and infection · 2024Article
- Development and application of a WebGIS-based prediction system for multi-criteria decision analysis of porcine pasteurellosis.Scientific reports · 2024Article
- Mapping Vulnerability to Potential Crisis Events in Surabaya City: A GIS-Based Approach.F1000Research · 2024Article
- Geospatial and Temporal Analysis of Avian Influenza Risk in Thailand: A GIS-Based Multi-Criteria Decision Analysis Approach for Enhanced Surveillance and Control.Transboundary and emerging diseases · 2024Article
- Application of Spatial Risk Assessment Integrated With a Mobile App in Fighting Against the Introduction of African Swine Fever in Pig Farms in Thailand: Development Study.JMIR formative research · 2022Article
- Criteria for selecting sentinel unit locations in a surveillance system for vector-borne disease: A decision tool.Frontiers in public health · 2022Review
- Research and Innovation Opportunities to Improve Epidemiological Knowledge and Control of Environmentally Driven Zoonoses.Annals of global health · 2022Review
- Assessment of foot-and-mouth disease risk areas in mainland China based spatial multi-criteria decision analysis.BMC veterinary research · 2021Article
- GIS-based COVID-19 vulnerability mapping in the West Bank, Palestine.International journal of disaster risk reduction : IJDRR · 2021Article
- Mapping of Ebola virus spillover: Suitability and seasonal variability at the landscape scale.PLoS neglected tropical diseases · 2021Article
- A 'what-if' scenario: Nipah virus attacks pig trade chains in Thailand.BMC veterinary research · 2020Article
- Malaria Risk Map Using Spatial Multi-Criteria Decision Analysis along Yunnan Border During the Pre-elimination Period.The American journal of tropical medicine and hygiene · 2020Article
- Article
- Eradication of Peste des Petits Ruminants Virus and the Wildlife-Livestock Interface.Frontiers in veterinary science · 2020Article
- Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors.Scientific data · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Highly Pathogenic Avian Influenza H5N1 (HPAI) virus is now considered endemic in several Asian countries. In Cambodia, the virus has been circulating in the poultry population since 2004, with a dramatic effect on farmers' livelihoods and public health. In Thailand, surveillance and control are still important to prevent any new H5N1 incursion. Risk mapping can contribute effectively to disease surveillance and control systems, but is a very challenging task in the absence of reliable disease data. In this work, we used spatial multicriteria decision analysis (MCDA) to produce risk maps for HPAI H5N1 in poultry. We aimed to i) evaluate the performance of the MCDA approach to predict areas suitable for H5N1 based on a dataset from Thailand, comparing the predictive capacities of two sources of a priori knowledge (literature and experts), and ii) apply the best method to produce a risk map for H5N1 in poultry in Cambodia. Our results showed that the expert-based model had a very high predictive capacity in Thailand (AUC = 0.97). Applied in Cambodia, MCDA mapping made it possible to identify hotspots suitable for HPAI H5N1 in the Tonlé Sap watershed, around the cities of Battambang and Kampong Cham, and along the Vietnamese border.
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