Tohoku University
Environmental Water Quality Engineering

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

Academic paper

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

OPEN ACCESS!!!
Regularized Regression Analysis for the Prediction of Virus Inactivation Efficiency by Chloramine Disinfection
Syun-suke Kadoya, Osamu Nishimura, Hiroyuki Kato and Daisuke Sano
Environmental Science: Water Research & Technology, accepted.

 

 

Previous Post
New article of Wakana Oishi (PhD student) has been published in JEMA.
Next Post
New article of Yifan Zhu (PhD student) has been published in Water Research

Related Articles

Academic paper, Environmental Water Quality Engineering News

A Review Paper on Causal Inference and Infectious Disease Determinants within the One Health Framework has been Published

A review paper authored by Sewwandi Bandara and colleagues from our laboratory, discussing the importance of causal inference for targeted public health interventions within the One Health framework, has been published in the Journal of Water and Health. The One Health framework emphasizes the interconnection between human, animal, and environmental systems in shaping infectious disease dynamics. Based on this concept,…
Academic paper, Environmental Water Quality Engineering News

A paper has been published on the effect of virus particle aggregation on the efficiency of chlorine disinfection.

A paper has been published on the effect of virus particle aggregation on the efficiency of chlorine disinfection. Modeling of viral aggregation and its impact on chlorine disinfection efficacy Putri Shafa Kamira, Ren Suzuki, Syun-suke Kadoya, Wakana Oishi, Daisuke Sano Water Research, September 2026, 303, 126225. This work was supported by JSPS KAKENHI Grant Number 21H04570. https://waterqualitytohoku.com/wp-content/uploads/2026/06/Cap18WR_English.mp4  
Academic paper

COVID-19 case prediction via wastewater surveillance in a low-prevalence urban community: a modeling approach

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.

Archives