Resource recovery technologies as microbial risk barriers: towards safe use of excreta in agriculture based on hazard analysis and critical control point

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.

Our work with regards to COVID-19 case prediction using wastewater surveillance results has been published in Journal of Water and Health: COVID-19 case prediction via wastewater surveillance in a low-prevalence urban community: a modeling approach Yifan Zhu; Wakana Oishi; Chikako Maruo; Sewwandi Bandara; Mu Lin; Mayuko Saito; Masaaki Kitajima; Daisuke Sano J Water Health (2022) 20 (2): 459–470.

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…

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