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

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.

Sital Uprety, a special research student from University of Illinois, Urbana Champaign will give us a talk with regards to his PhD work as follow: Data and Time: March 20th, 16:30 Location：Tohoku University, Aobayama East Campus, F01, 309 講演タイトル：Influence of natural conditions and anthropogenic factors on Water, Sanitation and Hygiene (WASH) →FINISHED

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…