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…

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

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…

New article of Syun-suke Kadoya (PhD student) has been published in JVI. OPEN ACCESS!!! Bottleneck Size-Dependent Changes in the Genetic Diversity and Specific Growth Rate of a Rotavirus A Strain Syun-suke Kadoya, Syun-ichi Urayama, Takuro Nunoura, Miho Hirai, Yoshihiro Takaki, Masaaki Kitajima, Toyoko Nakagomi, Osamu Nakagomi, Satoshi Okabe, Osamu Nishimura and Daisuke Sano Journal of Virology, May 2020, Volume 94,…