ISFEV2024

The following studies will be presented at the International Symposium for Food and Environmental Virology 2024 (Shimadzu Tokyo Innovation Plaza, June 9-14, 2024).→FINISHED

Pepper mild mottle virus as a process indicator for drinking water treatment: occurrence in surface waters and treatment target
Takayuki Miura, Syun-suke Kadoya, Yohei Miura, Daisuke Sano, Nobutaka Shirasaki, Hiroyuki Katayama, Takanori Masuda, Yoshihiko Matsui

The adaptation of murine norovirus populations to chlorine
Aken Puti Wanguyun, Wakana Oishi, Andri Taruna Rachmadi, Kazuhiko Katayama, Daisuke Sano

Prediction of COVID-19 cases based on various explanatory variables using
machine learning methods
Takehito Iizuka, Wang Luyao, Zhu Yifan, Wakana Oishi, Daisuke Sano

Previous Post
Human and Environmental Security Symposium
Next Post
WET2024

Related Articles

ISERME2020

The following study will be presented at the International Symposium on Earth Resources Management and Environment 2020 (ISERME2020, Oct. 23, 2020, Online). #This symposium has been postponed. Estimation of the number of SARS-CoV-2 infections in a sewershed based on wastewater-based epidemiology Yifan Zhu, Wakana Oishi, Chikako Maruo, Masaaki Kitajima, Daisuke Sano You can see the details of this symposium from HERE

Health & Environment Seminar 2026

The following studies will be presented at the Health & Environment Seminar 2026 (June 22-24, 2026, Cannes, France).→FINISHED Toward early warning of infectious diseases using wastewater biomarkers Luyao Wang, Mohan Amarasiri, Wakana Oishi, Dhammika Leshan Wannigama, Daisuke Sano Towards risk-informed wastewater reclamation and reuse: A soft-sensor-based monitoring framework for pollutant removal and human health risk management Yubing Li, Xuanyu Zhai,…

WEF-EESS Conference on Advancement in Water and Wastewater Treatment and Reuse

The following study will be presented at WEF-EESS Conference on Advancement in Water and Wastewater Treatment and Reuse (July 30-31, 2019, UTown Auditorium 2, Stephen Riady Centre, National University of Singapore, Singapore).→FINISHED Predictive Water Microbiology: Hierarchical Bayesian Modelling for Forecasting Virus Disinfection Efficiency Syun-suke Kadoya, Osamu Nishimura, Hiroyuki Kato, Daisuke Sano
keyboard_arrow_up