MEMBER

1. Chlorine disinfection sensitivity of rotavirus
2. Quantitative microbial risk of Legionella pneumophila in decentralized water systems
3. Predictive inactivation models of waterborne viruses using Bayesian modeling and/or machine learning algorithms
4. Infectious disease modeling to estimate water-intervention effects

1. Chlorine disinfection sensitivity of rotavirus

Rotavirus causes severe diarrhea in infants through fecal-oral route, and its outbreak has still occurred both in developed and developing countries in spite of vaccine introductions and the improved hygiene. Disinfection for hygiene improvement is widely employed for water treatment, but rotavirus can have strategy to escape disinfection pressures due to higher mutation rate, which can be a cause of rotavirus propagation. In this study, we try to test the change in chlorine sensitivity of rotavirus and elucidate population genetic factors for chlorine sensitivity change.

2. Quantitative microbial risk of Legionella pneumophila in decentralized water systems

Developed countries have problem about a maintenance of water supply system in depopulated areas. A household-installed water treatment system makes it possible to establish a sustainable water supply in depopulated areas, but health risks of consumers need to be controlled since the source water quality is not always adequate for domestic use of water. To protect human health, we try to calculate the microbial risks of pathogens and chemical risk of disinfection byproducts following QMRA framework, and then proposed the proper maintenance of the household-installed water treatment system to satisfy the acceptable level of risk.

3. Predictive inactivation models of waterborne viruses using Bayesian modeling and/or machine learning algorithms

The reuse of wastewater is useful to solve water scarcity all over the world. Since wastewater includes hazardous contaminants such as waterborne viruses, human health risks should be maintained at acceptable level by appropriately treating wastewater by disinfection. Disinfection intensity, which determines virus log reduction value, should be monitored in real-time and recorded in order to maintain virus concentration in effluent from wastewater treatment plant (WWTP), but different water quality parameters among WWTPs make it difficult to predict virus LRV by disinfectants. In this study, we’ll apply Bayesian estimation and/or machine learning algorithms to a construction of LRV prediction models by using water quality parameters as explanatory variables.

4. Infectious disease modeling to estimate water-intervention effects

Pathogenic RNA viruses (e.g. norovirus, rotavirus and SARS-Coronavirus-2) impose human on vast disease burden in the world. To prevent virus spreads, interventions such as vaccine introduction and disinfection have been implemented. Infectious disease model using simultaneous ordinary differential equations can be employed to estimate intervention effects on the number of infective people. Although vaccination efficacy has been estimated in a lot of reports, the effect of water-intervention has been unraveled yet. Also, the cause that virus outbreaks still occurred can be associated with virus evolution. So, we try to establish novel infectious disease model to estimate water-intervention effect with virus evolution.

1. Predictive water virology using regularized regression analyses for projecting virus inactivation efficiency in ozone disinfection
   Syun-suke Kadoya, Osamu Nishimura, Hiroyuki Kato, Daisuke Sano
   Water Research X, May 2021, 11, 100093.
2. 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.
3. Regularized regression analysis for the prediction of virus inactivation efficiency by chloramine disinfection
   Syun-suke Kadoya, Osamu Nishimura, Hiroyuki Kato, Daisuke Sano
   Environmental Science: Water Research & Technology, 2020, 6, 3341-3350.
4. 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, Masaaki Kitajima, Toyoko Nakagomi, Osamu Nakagomi, Satoshi Okabe, Osamu Nishimura, Daisuke Sano
   Journal of Virology, May 2020, 94(10), e02083-19.
5. Predictive water virology: Hierarchical Bayesian modeling for estimating virus inactivation curve
   Syun-suke Kadoya, Osamu Nishimura, Hiroyuki Kato, Daisuke Sano
   Water, October 2019, 11(10), 2187.
6. 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, June 2019, 17(3), 404-415.
7. Assays for specific growth rate and cell-binding ability of rotavirus
   Syun-suke Kadoya, Daisuke Sano
   Journal of Visualized Experiments, January 2019, 143, e58821.
8. Selection of cellular genetic markers for the detection of infectious poliovirus
   Daisuke Sano, Megumi Tazawa, Manami Inaba, Syunsuke Kadoya, Ryosuke Watanabe, Takayuki Miura, Masaaki Kitajima, Satoshi Okabe
   Journal of Applied Microbiology, April 2018, 124(4), 1001–1007.
9. Sapovirus in wastewater treatment plants in Tunisia: Prevalence, removal, and genetic characterization
   Miguel Varela, Imen Ouardani, Tsuyoshi Kato, Syunsuke Kadoya, Mahjoub Aouni, Daisuke Sano, Jesús Romalde
   Applied and Environmental Microbiology, March 2018, 84(6), e02093-17.
10. Identification of the inactivating factors and mechanisms exerted on MS2 coliphage in concentrated synthetic urine
    Wakana Oishi, Daisuke Sano, Loic Decrey, Syunsuke Kadoya, Tamar Kohn, Naoyuki Funamizu
    Science of the Total Environment, November 2017, 598, 213-219.

TBD

1. Genetic diversity and free chlorine susceptibility of a rotavirus A strain
   Syn-suke Kadoya
   Interdisciplinary seminar on mucosal immunology at Tohoku University 2020
   Feb. 19, 2020, Espace, Tohoku University Katahira Campus, Sendai, Japan
2. Predictive Water Virology: Hierarchical Bayesian Modelling for Estimating Virus Inactivation Efficiency (poster presentation)
   Daisuke Sano, Syun‐suke Kadoya
   20th IWA Symposium on Health Related Water Microbiology
   Sep 15-20, 2019, Vienna, Austria
3. Free chlorine Sensitivity of Rotavirus Exposed to Repeated Disinfection and Bottleneck Events
   Syun‐suke Kadoya, Syun‐ichi Urayama, Takuro Nunoura, Masaaki Kitajima, Toyoko Nakagomi, Osamu Nakagomi, Satoshi Okabe, Osamu Nishimura, Daisuke Sano
   20th IWA Symposium on Health Related Water Microbiology
   Sep 15-20, 2019, Vienna, Austria
4. Neutral Evolutionary Rate of Rhesus Rotavirus
   Syun-suke Kadoya, Syun-ichi Urayama, Takuro Nunoura, Masaaki Kitajima, Satoshi Okabe, Toyoko Nakagomi, Osamu Nakagomi, Daisuke Sano
   13th International dsRNA Virus Symposium
   Sep. 24-28, 2018, Houffalize, Belgium