Wakana OISHI, Assistant Professor

e-mail:wakana.oishi.d1[@]tohoku.ac.jp

Research topic

Modeling of enteric virus inactivation in fecal sludge

Research abstract

Microbiological prediction model-based infection risk management must be established to ensure the safety for the handling of fecal sludge in the Sanitation Value Chain. Although alkaline treatment and urea treatment are one of the most common practices for on-site treatment, emergence of a resistant population to alkaline and ammonia are still not examined. This study aims to construct pathogen inactivation model for on-site treatment and propose nondeterministic standard criteria in disinfection process, considering resistance of possible population. Furthermore, this study aims to identify a mutation on viral genome in order to elucidate the possible resistance and the resistance acquisition mechanism.

 Academic backgrounds

Ph.D.
Department of Civil and Environmental Engineering, Tohoku University, Sendai, Japan
Mar. 2022

M.Sc.
Division of Environmental Engineering, Hokkaido University, Sapporo, Japan
Mar. 2016

B.S.
Course of Environmental Engineering, Department of Socio-Environmental Engineering, Hokkaido University, Sapporo, Japan
Mar. 2014

Research articles

  1. Quantitative microbial risk assessment of antibiotic-resistant Salmonella enterica contaminating hydroponic leafy vegetables
    Shun Takayama, Qian Zhang, Ye Htut Zwe, Dan Li, Daisuke Sano, Wakana Oishi
    Microbial Risk Analysis, accepted.
  2. Quantitative evaluation of water, sanitation, and hygiene measures on COVID-19 pandemic peak reduction in the Philippines
    Sewwandi Bandara, Clyde Dapat, Wakana Oishi, Emmanuel Kagning Tsinda, Mayuko Saito, Daisuke Sano
    Science of the Total Environment, November 2024, 949, 175055.
  3. Identification of environmental, socioeconomic, Water, Sanitation, and Hygiene (WaSH) factors associated with COVID-19 incidence in the Phillippines: A nationwide modelling study
    Sewwandi Bandara, Clyde Dapat, Wakana Oishi, Emmanuel Kagning Tsinda, Lea Necitas G. Apostol, Naoko Hirayama, Mayuko Saito, Daisuke Sano
    Science of the Total Environment, October 2024, 946, 174214.
  4. Genetic diversity of murine norovirus populations less susceptible to chlorine
    Aken Puti Wanguyun, Wakana Oishi, Andri Rachmadi, Kazuhiko Katayama, Daisuke Sano
    Frontiers in Microbiology, section Virology, April 2024, 15, 1372641.
  5. Sensitivity evaluation of enveloped and non-enveloped viruses to ethanol using machine learning: a systematic review
    Aken Puti Wanguyun, Wakana Oishi, Daisuke Sano
    Food and Environmental Virology, March 2024, 16(1), 1-13.
  6. Estimation of alkali dosage and contact time for treating human excreta containing viruses as an emergency response: A systematic review
    Wakana Oishi, Daisuke Sano
    Frontiers in Public Health, section Disaster and Emergency Medicine, November 2023, 10, 1286595.
  7. Decay rate estimation of respiratory viruses in aerosols and on surfaces under different environmental conditions
    Sewwandi Bandara, Wakana Oishi, Syun-suke Kadoya, Daisuke Sano
    International Journal of Hygiene and Environmental Health, June 2023, 251, 114187.
  8. Resource recovery technologies as microbial risk barriers: towards safe use of excreta in agriculture based on hazard analysis and critical control point
    Wakana Oishi, Björn Vinnerås, Daisuke Sano
    Environmental Science: Water Research & Technology, April 2023, 4(9), 1008-1029.
  9. Experimental adaptation of murine norovirus to calcium hydroxide
    Wakana Oishi, Mikiko Sato, Kengo Kubota, Ryoka Ishiyama, Reiko Takai-Todaka, Kei Haga, Kazuhiko Katayama and Daisuke Sano
    Frontiers in Microbiology, March 2022, 13, 848439.
  10. 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
    Journal of Water and Health, 20(2), 459-470.
  11. Comparison of five polyethylene glycol precipitation procedures for the RT-qPCR based recovery of murine hepatitis virus, bacteriophage phi6, and pepper mild mottle virus as a surrogate for SARS-CoV-2 from wastewater
    Shotaro Torii, Wakana Oishi, Yifan Zhu, Ocean Thakali, Bikash Malla, Zaizhi Yu, Bo Zhao, Chisato Arakawa, Masaaki Kitajima, Akihiko Hata, Masaru Ihara, Shigeru Kyuwa, Daisuke Sano, Eiji Haramoto, Hiroyuki Katayama
    Science of the Total Environment, 2022, 807, 150722.
  12. Predictive environmental microbiology for safe use of sanitation products in agriculture: Challenges and perspectives
    Wakana Oishi, Björn Vinnerås, Joan B. Rose, Daisuke Sano
    Environmental Science & Technology Letters, 2021, 8(11), 924–931.
  13. Early warning of COVID-19 in Tokyo via wastewater-based epidemiology: How feasible it really is?
    Yifan Zhu, Wakana Oishi, Mayuko Saito, Masaaki Kitajima, Daisuke Sano
    Journal of Water and Environment Technology, 2021, 19(3), 170-183.
  14. Hierarchical Bayesian modeling for predictive environmental microbiology toward a safe use of human excreta: Systematic review and meta-analysis
    Wakana Oishi, Syun-suke Kadoya, Osamu Nishimura, Joan B. Rose, Daisuke Sano
    Journal of Environmental Management, April 2021, 284, 112088.
  15. Early warning of COVID-19 via wastewater-based epidemiology: potential and bottlenecks
    Yifan Zhu, Wakana Oishi, Chikako Maruo, Mayuko Saito, Rong Chen, Masaaki Kitajima, Daisuke Sano
    Science of the Total Environment, May 2021, 767, 145124.
  16. Viral interference as a factor of false-negative in the infectious adenovirus detection using integrated cell culture-PCR with a BGM cell line
    Daisuke Sano, Ryosuke Watanabe, Wakana Oishi, Mohan Amarasiri, Masaaki Kitajima, Satoshi Okabe
    Food and Environmental Virology, January 2021, 13, 84-91.
  17. 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.
  18. 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, 2019, 17(3), 404-415.
  19. Identification of the inactivating factors and mechanisms exerted on MS2 coliphage in conScience of the Total Environment, in press.centrated synthetic urine
    Wakana Oishi, Daisuke Sano, Loic Decrey, Shunsuke Kadoya, Tamar Kohn, Naoyuki Funamizu
    Science of the Total Environment, 2017, 598, 213-219.

Conference presentations

  1. Environmental predictive microbiology for treatment and safe use of sanitation products
    Wakana Oishi, Daisuke Sano
    Human and Environmental Security Symposium
    Tohoku University
    June 6, 2024
  2. Onsite sanitation disinfection: A modeling approach for lime treatment of fecal matter containing viruses (poster presentation)
    Wakana Oishi, Daisuke Sano
    6th IWA International Conference on eco-Technologies for Wastewater Treatment
    Girona, Spain
    June 26-29, 2023
  3. Mathematical optimization of sampling sites for wastewater surveillance (poster presentation)
    Wakana Oishi, Yusuke Hara, Takamasa Iryo, Daisuke Sano
    21st International Symposium for IWA Health-Related Water Microbiology (WaterMicro23, Darwin, Australia)
    June 4-9, 2023.
  4. Hierarchical Bayesian modeling for predictive environmental microbiology towards safe resource recovery from human excreta
    Wakana Oishi, Syun-suke Kadoya, Osamu Nishimura, Daisuke Sano
    2021 International Conference on the “Challenges in Environmental Science and Engineering” (CESE-2021,  online)
    Nov. 5-6, 2021.
  5. Natural inactivation kinetics modeling of a waterborne enteric virus in surface water by sparse regression and hierarchical Bayesian estimation
    Wakana Oishi, Ikuo Kato, Osamu Nishimura, Daisuke Sano
    Water Environment and Technology Conference 2020(WET2020, Nov. 7-8, 2020, Online)
  6. Gastroenteritis patient prediction based on wastewater-based epidemiology and dynamic modeling
    Yifan Zhu, Wakana Oishi, Chikako Maruo, Masaaki Kitajima, Daisuke Sano
    Water Environment and Technology Conference 2020(WET2020, Nov. 7-8, 2020, Online)
  7. Hierarchical Bayesian modeling for predictive environmental microbiology towards safe resource recovery from human excreta
    Wakana Oishi, Shun-suke Kadoya, Osamu Nishimura, Daisuke Sano
    2nd Sustainable Waste Management Conference(Sep. 15-17, Virtual)
  8. Inactivation of pathogenic bacteria in concentrated urine
    Wakana Oishi, Rui Tezuka, Nowaki Hijikata, Ryusei Ito, Ken Ushijima, Naoyuki Funamizu
    12th specialized conference on small water and Wastewater Systems and 4th specialized conference on resource oriented sanitation
    Caledonian College of Engineering, Sultanate of Oman, Nov. 2-4, 2014
  9. Inactivation and damage to bacteriophage MS2 by ammonia in human excreta
    Wakana Oishi, Loic Decrey, Rui Tezuka, Daisuke Sano, Tamar Kohn, Naoyuki Funamizu
    11th IWA Specialist Group Conference on Wastewater Pond Technologies
    Leeds University Business School, UK, Mar. 21-23, 2016

Awards

  1. Best Research Award
    Prediction of COVID-19 cases based on various explanatory variables using
    machine learning methods
    Takehito Iizuka, Wang Luyao, Zhu Yifan, Wakana Oishi, Daisuke Sano
    International Symposium for Food and Environmental Virology 2024 (ISFEV2024)
    2024年6月9-14日