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Geospatial analysis for strategic wildlife disease surveillance: African swine fever in South Korea (2019-2021)

PLoS ONE publica este artículo de investigación

21 de junio de 2024

Since the confirmation of African swine fever (ASF) in South Korea in 2019, its spread, predominantly in wild boars, has been a significant concern. A key factor in this situation is the lack of identification of risk factors by surveillance bias. The unique orography, characterized by high mountains, complicates search efforts, leading to overlooked or delayed case detection and posing risks to the swine industry. Additionally, shared rivers with neighboring country present a continual threat of virus entry. This study employs geospatial analysis and statistical methods to 1) identify areas at high risk of ASF occurrence but possibly under-surveilled, and 2) indicate strategic surveillance points for monitoring the risk of ASF virus entry through water bodies and basin influences. Pearson`s rho test indicated that elevation (rho = -0.908, p-value < 0.001) and distance from roads (rho = -0.979, p-value < 0.001) may have a significant impact on limiting surveillance activities. A map of potential under-surveilled areas was created considering these results and was validated by a chi-square goodness-of-fit test (X-square = 208.03, df = 1, p-value < 0.001). The strong negative correlation (rho = -0.997, p-value <0.001) between ASF-positive wild boars and distance from water sources emphasizes that areas surrounding rivers are one of the priority areas for monitoring. The subsequent hydrological analyses provided important points for monitoring the risk of virus entry via water from the neighboring country. This research aims to facilitate early detection and prevent further spread of ASF




Ito S., Bosch BJ., Aguilar-Vega C., Jeong H. y Sanchez-Vizcaino JM..




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Geospatial analysis for strategic wildlife disease surveillance: African swine fever in South Korea (2019-2021)

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Geospatial analysis for strategic wildlife disease surveillance: African swine fever in South Korea (2019-2021)



Participantes:

Universidad ComplutenseServicio de Inmunología Viral y Medicina Preventiva (SUAT). Centro de Vigilancia Sanitaria Veterinaria (VISAVET). Universidad Complutense (UCM).

Universidad ComplutenseDepartamento de Sanidad Animal. Facultad de Veterinaria. Universidad Complutense (UCM).

Kagoshima UniversitySouth Kyushu Livestock Veterinary Center. Kagoshima University.

Dodram Pig Research Center.







PLoS ONE
FACTOR YEAR Q
3.700 2022

NLMID: 101285081

PMID: 38905303

ISSN: 1932-6203



TÍTULO: Geospatial analysis for strategic wildlife disease surveillance: African swine fever in South Korea (2019-2021)


REVISTA: PLoS ONE


NUMERACIÓN: 19(6):e0305702


AÑO: 2024


EDITORIAL: PLOS


AUTORES: Ito S., Bosch BJ., Aguilar-Vega C., Jeong H. and Sanchez-Vizcaino JM..


José Manuel Sánchez-Vizcaíno Rodríguez

DOI: https://doi.org/10.1371/journal.pone.0305702. eC...


CITA ESTA PUBLICACIÓN:

Ito S., Bosch BJ., Aguilar-Vega C., Jeong H. y Sanchez-Vizcaino JM. Geospatial analysis for strategic wildlife disease surveillance: African swine fever in South Korea (2019-2021). PLoS ONE. 19(6):e0305702. 2024. (A). ISSN: 1932-6203. DOI: 10.1371/journal.pone.0305702. eCollection 2024


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