Tohoku University
Environmental Water Quality Engineering

Water Environment and Technology Conference 2020

Conference Presentations

The following studies will be presented at Water Environment and Technology Conference 2020 (WET2020, Nov. 7-8, 2020, ONLINE). -> FINISHED

Natural Inactivation Kinetics Modeling of a Waterborne Enteric Virus in Surface Water by Sparse Regression and Hierarchical Bayesian Estimation
Wakana OISHI, Ikuo KATO, Osamu NISHIMURA, Daisuke SANO

Gastroenteritis patient prediction based on wastewater-based epidemiology and dynamic modeling
Yifan ZHU, Wakana OISHI, Chikako MARUO, Masaaki Kitajima, Daisuke SANO

Previous Post
ISERME2020
Next Post
2020 International Conference on the “Challenges in Environmental Science and Engineering”

Related Articles

Conference Presentations

13th International dsRNA Virus Symposium

The following work will be presented at 13th International dsRNA Virus Symposium (Sep. 24-28, 2018, Houffalize, Belgium).→FINISHED Neutral Evolutionary Rate of Rhesus Rotavirus Syun-suke Kadoya, Syun-ichi Urayama, Takuro Nunoura, Masaaki Kitajima, Satoshi Okabe, Toyoko Nakagomi, Osamu Nakagomi, Daisuke Sano In Workshop 2b: Evolution and epidemiology
Conference Presentations

8th International Calicivirus Conference

The following study will be presented at the 8th International Calicivirus Conference  (7-11, May, 2023, Rotterdam, The Netherlands).→FINISHED Nucleotide diversity and evolution rate of murine norovirus populations less sensitive to chlorine disinfection (poster presentation) Aken Puti Wanguyun, Wakana Oishi, Andri Taruna Rachmadi, Kazuhiko Katayama, Daisuke Sano
Conference Presentations

WET2024

The following studies will be presented at the Water and Environment Technology Conference 2024 (WET2024, July 20-21, 2024, Okayama University ).→FINISHED Assessing human health burden linked to wastewater recycling and reuse implementing the life cycle assessment and quantitative microbial risk assessment tools Jarin Tasnim Heia, Shuhei Masuda, Mohammed Engha Isah, Kazuyo Matsubae, Daisuke Sano Time-series forecasting of COVID-19 case number…

Archives