ArticleBMC veterinary research2019
A spatial assessment of Nipah virus transmission in Thailand pig farms using multi-criteria decision analysis.
Article in BMC veterinary research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- International risk assessment of Nipah virus outbreak and medium-long-term prevention and control prospects in China.MedScience · 2026Article
- Development and application of a WebGIS-based prediction system for multi-criteria decision analysis of porcine pasteurellosis.Scientific reports · 2024Article
- Ingrained: Rice farming and the risk of zoonotic spillover, examples from Cambodia.One health (Amsterdam, Netherlands) · 2024Review
- 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
- Assessment of foot-and-mouth disease risk areas in mainland China based spatial multi-criteria decision analysis.BMC veterinary research · 2021Article
- Current characteristics of animal rabies cases in Thailand and relevant risk factors identified by a spatial modeling approach.PLoS neglected tropical diseases · 2021Article
- Two decades of one health surveillance of Nipah virus in Thailand.One health outlook · 2021Article
- A 'what-if' scenario: Nipah virus attacks pig trade chains in Thailand.BMC veterinary research · 2020Article
- High Pathogenicity of Nipah Virus from Pteropus lylei Fruit Bats, Cambodia.Emerging infectious diseases · 2020Article
Corrections and comments
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Authors and funding
9 authors at 7 institutions in 6 countries.
Funding
Abstract
backgroundThailand's Central Plain is identified as a contact zone between pigs and flying foxes, representing a potential zoonotic risk. Nipah virus (NiV) has been reported in flying foxes in Thailand, but it has never been found in pigs or humans. An assessment of the suitability of NiV transmission at the spatial and farm level would be useful for disease surveillance and prevention. Multi-criteria decision analysis (MCDA), a knowledge-driven model, was used to map contact zones between local epizootic risk factors as well as to quantify the suitability of NiV transmission at the pixel and farm level.
resultsSpatial risk factors of NiV transmission in pigs were identified by experts as being of three types, including i) natural host factors (bat preferred areas and distance to the nearest bat colony), ii) intermediate host factors (pig population density), and iii) environmental factors (distance to the nearest forest, distance to the nearest orchard, distance to the nearest water body, and human population density). The resulting high suitable areas were concentrated around the bat colonies in three provinces in the East of Thailand, including Chacheongsao, Chonburi, and Nakhonnayok. The suitability of NiV transmission in pig farms in the study area was quantified as ranging from very low to medium suitability.
conclusionsWe believe that risk-based surveillance in the identified priority areas may increase the chances of finding out NiV and other bat-borne pathogens and thereby optimize the allocation of financial resources for disease surveillance. In the long run, improvements of biosecurity in those priority areas may also contribute to preventing the spread of potential emergence of NiV and other bat-borne pathogens.
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