| Issue Date | Title | Author(s) | Source | WOS | Fulltext/Archive link |
| 2023 | Challenges and implications of predicting the spatiotemporal distribution of dengue fever outbreak in Chinese Taiwan using remote sensing data and deep learning | Anno, Sumiko; Tsubasa, Hirakawa; Sugita, Satoru; Yasumoto, Shinya; Lee, Ming-An ; Sasaki, Yoshinobu; Oyoshi, Kei | GEO-SPATIAL INFORMATION SCIENCE | 0 | |
| 2019 | Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning | Anno, Sumiko; Hara, Takeshi; Kai, Hiroki; Lee, Ming-An ; Chang, Yi; Oyoshi, Kei; Mizukami, Yousei; Tadono, Takeo | GEOSPATIAL HEALTH | 26 | |
