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

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…

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 study was accepted by Water Science and Technology. Specific interactions of rotavirus HAL1166 with Enterobacter cloacae SENG-6 and their contribution on rotavirus HAL1166 removal Mohan Amarasiri, Hiroki Kawai, Masaaki Kitajima, Satoshi Okabe, Daisuke Sano Water Science and Technology, accepted.

New article of Yifan Zhu (PhD student) has been published in Water Research. OPEN ACCESS!!! Virus removal by membrane bioreactors: A review of mechanism investigation and modeling efforts Yifan Zhu, Rong Chen, Yu-You Li, Daisuke Sano Water Research Backgrounds: Waterborne enteric viruses in wastewater pose a serious threat to public health, to keep up with the increasing demand for water…