New article of Syun-suke Kadoya (PhD student) has been published in ESWRT

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…

The following work has been accepted by Journal of Visualized Experiments Assays for specific growth rate and cell-binding ability of rotavirus Syun-suke Kadoya, Daisuke Sano Journal of Visualized Experiments, accepted.

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.

New article of Wakana Oishi (PhD student) has been published in JEMA. Inactivation kinetics modeling of Escherichia coli in concentrated urine for implementing predictive environmental microbiology in sanitation safety planning Wakana Oishi, Ikuo Kato, Nowaki Hijikata, Ken Ushijima, Ryusei Ito, Naoyuki Funamizu, Osamu Nishimura, Daisuke Sano Journal of Environmental Management, August 2020, 268, 110672. ABSTRACT Urine concentration (condensation) leads to…