Satoshi Ito
Assistant Professor
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About
Dr. Satoshi Ito is an Assistant Professor at Kagoshima University in Japan. His research focuses on wildlife disease surveillance and management, particularly related to swine diseases such as classical swine fever and African swine fever. He employs advanced methodologies including geospatial analysis and machine learning to optimize vaccination strategies and assess epidemiological impacts. His recent publications reflect a strong commitment to improving disease control measures in wildlife populations.
Articles (10)
Year:
2025
Year:
2025
Year:
2024
Year:
2024
Year:
2024
In September 2018, classical swine fever (CSF) reemerged in Japan after more than a quarter of a century. After the first notification on a pig farm, wild boars positive for CSF were found continuously in the surrounding area. Gifu was the first prefecture in Japan to disseminate oral vaccines to wild boars in March 2019, with vaccines spread to approximately 14,000 sites between 2019 and 2020. While these diligent measures seemed to have shown some effectiveness, several vaccine spray sites remained without wild boar emergence. Based on the vaccine dissemination records from these periods, this study conducted a statistical analysis to propose more effective vaccine dissemination sites. First, a generalized linear mixed model was used to identify factors correlated with wild boar emergence. Then, two spatial interpolation methods, inverse distance weighted (IDW) and Kriging, were adopted to create a probability map of wild boar emergence for the entire Gifu Prefecture. The analysis showed a positive correlation between wild boar emergence and the appearance of raccoons, raccoon dogs, and crows as well as road density and wild boar distribution index. In particular, raccoon (OR: 1.83, 95%CI: 1.25–2.68, p < 0.001), raccoon dog (OR: 1.81, 95%CI: 1.25–2.66, p < 0.001), and medium level road density (OR: 1.56, 95%CI: 1.04–2.39, p = 0.04) were strongly correlated with wild boar emergence. The spatial interpolation approach resulted in better prediction accuracy for the Kriging method than for IDW by the root mean square error, but both approaches identified a high wild boar appearance probability area in southeastern Gifu and a low appearance probability area in central Gifu. Here we have demonstrated a tool to effectively disperse oral vaccine to wildlife.
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2022
Collaborators (2)
Jose Angel Barasona
-
José Manuel Sánchez-Vizcaíno
Universidad Complutense de Madrid
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