Our work with regards to the prediction of pathogen concentration in water has been accepted by Journal of Water and Health

Academic paper

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 Ohta, Mohan Amarasiri, Daisuke Sano
Journal of Water and Health, accepted.

Previous Post
A review paper by Amarasiri and Sano has been accepted by Viruses.
Next Post
Special lecture presented by Sital Uprety from University of Illinois, Urbana Champaign

Related Articles

Academic paper

UCL-TU Joint Webinar on Environmental Water Quality

The following studies will be presented at the UCL-TU Joint Webinar on Environmental Water Quality (Nov. 7, 2023, online. →FINISHED Predictive modeling of virus disinfection in wastewater reclamation Daisuke Sano Utilizaing satellite remote sensing data for forecasting algal bloom in a small reservoir Yohei Miura
Academic paper

Free-Chlorine Disinfection as a Selection Pressure on Norovirus

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