A spatial assessment of Nipah virus transmission in Thailand pig farms using multi-criteria decision analysis

Autor: Marius Gilbert, Wantanee Kalpravidh, Kachen Wongsathapornchai, Anuwat Wiratsudakul, Vilaiporn Wongphruksasoong, Daniel Schar, Weerapong Thanapongtharm, Mathilde Paul, Sudarat Damrongwatanapokin
Přispěvatelé: Department of Livestock Development (DLD), Interactions hôtes-agents pathogènes [Toulouse] (IHAP), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Mahidol University [Bangkok], Department of Clinical Science and Public Health, Faculty of Veterinary Science, FAO Regional Office for Asia and the Pacific (FAO), Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), USAID's Bangkok-based Regional Development Mission for Asia (RDMA), Spatial Epidemiology Lab (SpELL), Université libre de Bruxelles (ULB), Fonds National de la Recherche Scientifique [Bruxelles] (FNRS), Part of this work was supported through the USAID/FAO grant (LOA/RAP/2016/32).
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: BMC veterinary research, 15 (1
BMC Veterinary Research, Vol 15, Iss 1, Pp 1-13 (2019)
BMC Veterinary Research
BMC Veterinary Research, BioMed Central, 2019, 15, pp.73. ⟨10.1186/s12917-019-1815-y⟩
ISSN: 1746-6148
Popis: Background: Thailand'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. Results: Spatial 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. Conclusions: We 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.
SCOPUS: ar.j
info:eu-repo/semantics/published
Databáze: OpenAIRE
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