Our work has been accepted by Journal of Visualized Experiments

Our work with regards to the prediction of pathogen concentration in water has been accepted by Journal of Water and Health. In this study, the prediction accuracy is improved by sign-constrained linear regression, a new statistical approach. Sign-constrained linear regression for prediction of microbe concentration based on water quality datasets Tsuyoshi Kato, Ayano Kobayashi, Wakana Oishi, Syun-suke Kadoya, Satoshi Okabe, Naoya…

Our work with regards to COVID-19 case prediction using wastewater surveillance results has been published in Journal of Water and Health: COVID-19 case prediction via wastewater surveillance in a low-prevalence urban community: a modeling approach Yifan Zhu; Wakana Oishi; Chikako Maruo; Sewwandi Bandara; Mu Lin; Mayuko Saito; Masaaki Kitajima; Daisuke Sano J Water Health (2022) 20 (2): 459–470.

Applied and Environmental Microbiology, July 2018 vol. 84 no. 13 e00244-18. Andri Taruna Rachmadi, Masaaki Kitajima, Kozo Watanabe, Sakiko Yaegashi, Joeselle Serrana, Arata Nakamura, Toyoko Nakagomi, Osamu Nakagomi, Kazuhiko Katayama, Satoshi Okabe and Daisuke Sano http://aem.asm.org/content/84/13/e00244-18.abstract

The following study was accepted by Water Science and Technology. Specific interactions of rotavirus HAL1166 with Enterobacter cloacae SENG-6 and their contribution on rotavirus HAL1166 removal Mohan Amarasiri, Hiroki Kawai, Masaaki Kitajima, Satoshi Okabe, Daisuke Sano Water Science and Technology, accepted.