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Wakana Oishi

Section

Graduate School of Engineering

Job title

Assistant Professor

Degree

博士（工学）（東北大学）
修士（環境工学）（北海道大学）

researchmap

https://researchmap.jp/wakana3130

J-GLOBAL ID

202201017323327514

e-Rad No.

90965849

Research History 4

2023/04 - Present

The University of Kitakyushu
2022/04 - Present

Tohoku University　Graduate School of Engineering Department of Civil and Environmental Engineering
2020/04 - 2022/03

Tohoku University　Graduate School of Engineering
2016/04 - 2019/02

日立造船株式会社　環境事業本部

Education 3

Tohoku University　Graduate School of Engineering　Department of Civil and Environmental Engineering

2019/04 - 2022/03
Hokkaido University　Graduate School of Engineering

2014/04 - 2016/03
Hokkaido University　School of Engineering

2010/04 - 2014/03

Committee Memberships 7

土木学会環境工学委員会　委員

2025/04 - Present
土木学会環境システム委員会　委員

2025/04 - Present
土木学会環境工学委員会中長期下水道施設システム調査小委員会　委員

2024/04 - Present
土木学会環境システム委員会　リエゾン委員（環境工学委員会）

2023/04 - 2025/03
土木学会環境工学委員会　副幹事長

2023/04 - 2025/03
日本水環境学会特集企画編集部会　編集委員

2022/10 - 2025/03
ヤング・ウォーター・プロフェッショナルズ (Japan-YWP)　運営委員

2018/04 - 2024/03

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Professional Memberships 2

土木学会

2022/04 - Present
日本水環境学会

2022/04 - Present

Research Interests 3

Disinfection
Sanitation
Environmental Engineering

Research Areas 2

Life sciences / Hygiene and public health (laboratory) /
Social infrastructure (civil Engineering, architecture, disaster prevention) / Civil engineering (environmental systems) /

Awards 7

Best Research Award

2024/06　International Society for Food and Environmental Virology　Prediction of COVID-19 cases based on various explanatory variables using machine learning methods
令和5年度建設工学研究奨励賞

2024/05　一般財団法人建設工学研究振興会　持続可能な水インフラを計画するための数理的研究
令和3年度土木学会論文奨励賞

2022/05　土木学会　スパース推定法と階層ベイズ推定法による環境水中ウイルス自然死滅モデルの構築
令和3年度東北大学工学研究科長賞

2022/03　東北大学工学研究科
第24回日本水環境学会シンポジウム博士研究奨励賞（オルガノ賞）優秀賞

2021/09　日本水環境学会　予測環境微生物学に基づく資源回収型サニテーションの病原リスク管理手法の構築
若手研究優秀賞

2021/04　東北大学感染症共生システムデザイン学際研究重点拠点　Development of a COVID-19 infection risk map in Sendai city
第57回環境工学研究フォーラム論文奨励賞

2021/01　土木学会環境工学委員会　スパース推定法と階層ベイズ推定法による環境水中ウイルス自然死滅モデルの構築

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Papers 24

Aptamer-based biosensors for wastewater surveillance of influenza virus, SARS-CoV-2, and norovirus: A comprehensive review

Yilei Wang, Mohan Amarasiri, Wakana Oishi, Masayasu Kuwahara, Yuka Kataoka, Hiroki Kurita, Fumio Narita, Rong Chen, Qian Li, Daisuke Sano

Water Research　123484-123484　2025/03
Publisher: Elsevier BV
DOI： 10.1016/j.watres.2025.123484 　

ISSN： 0043-1354
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　27-28　100330-100330　2024/12
Publisher: Elsevier BV
DOI： 10.1016/j.mran.2024.100330 　

ISSN： 2352-3522
Quantitative evaluation of water, sanitation, and hygiene measures on COVID-19 pandemic peak reduction in the Philippines. International-journal

Sewwandi Bandara, Clyde Dapat, Wakana Oishi, Emmanuel Kagning Tsinda, Mayuko Saito, Daisuke Sano

The Science of the total environment　949　175055-175055　2024/11/01

DOI： 10.1016/j.scitotenv.2024.175055 　

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New cases of coronavirus disease 2019 (COVID-19) are continually being recorded worldwide, despite global efforts in implementing non-pharmaceutical interventions and establishing vaccination programs. This trend highlights the need to identify the factors associated with the continued spread of COVID-19. The World Health Organization recommends hand washing as a cost-effective intervention for preventing COVID-19, indicating that water, sanitation, and hygiene (WaSH) are central to the prevention of the disease. However, low- and middle-income countries lack adequate access to WaSH, which increases the risk of contracting COVID-19. The aim of this study was to identify the WaSH factors associated with the incidence of COVID-19 and quantitatively estimate the effects of improvements in WaSH on reducing the incidence of COVID-19 during the peak of the pandemic. Lasso regression and extreme gradient boosting models were used to identify the WaSH factors. Distinct estimation models were developed to assess the effect of WaSH in rural regions under two assumptions: increasing regional basic sanitation coverage up to 25 % and 50%. The reduction in the incidence of COVID-19 during the peak of the pandemic was calculated for each rural region. The results of the analyses indicated that basic sanitation is important for reducing the incidence of COVID-19 in rural regions compared to urban regions in the Philippines. In addition, the results suggested that increasing basic sanitation coverage could reduce the incidence of COVID-19 by 2-66 %, alleviating the burden on healthcare facilities. This study indicates that improved basic sanitation infrastructure are needed in rural Philippines. The results of this study emphasise the significance of WaSH as an indicator of COVID-19 incidence, highlighting the need for its enhancement to enable the achievement of sustainable disease prevention and pandemic preparedness goals.
Identification of environmental, socioeconomic, water, sanitation, and hygiene (WaSH) factors associated with COVID-19 incidence in the Philippines: A nationwide modelling study. International-journal

Sewwandi Bandara, Clyde Dapat, Wakana Oishi, Emmanuel Kagning Tsinda, Lea Necitas G Apostol, Naoko Hirayama, Mayuko Saito, Daisuke Sano

The Science of the total environment　946　174214-174214　2024/10/10

DOI： 10.1016/j.scitotenv.2024.174214 　

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Despite the implementation of non-pharmaceutical interventions, the threat of coronavirus disease 2019 (COVID-19) remains significant on a global scale. Identifying external factors contributing to its spread is crucial, especially given the World Health Organization's recommendation emphasizing access to water, sanitation, and hygiene as essential in curbing COVID-19. There is a notable discrepancy in access to sanitation facilities, particularly evident in low- and middle-income countries. However, there is a lack of quantitative assessments regarding these factors. This study examines various environmental, socioeconomic, water, sanitation, and hygiene factors and their associations with COVID-19 incidence. All regions in the Philippines were categorized into clusters based on socioeconomic factors. A conceptual structural equation model (SEM) was developed using domain knowledge. The best-fitting SEM for each cluster was determined, and associations between factors and COVID-19 incidence were estimated. The correlation analysis revealed that rainfall, minimum temperature, and relative humidity were positively correlated with weekly COVID-19 incidence in urban regions. Maximum temperature, mean temperature, wind speed, and wind direction were negatively correlated with weekly COVID-19 incidence in rural regions, with time lags of 0, 3, and 7 weeks. In urban regions (Cluster 1), factors such as urbanization rate (1.00), area (-0.93), and population (0.54) were found to be associated with weekly COVID-19 incidence. Conversely, in rural regions (Cluster 2), factors including area (0.17), basic sanitation (0.84), and wind direction (0.83) showed associations with weekly COVID-19 incidence. These factors were causally associated with a latent variable reflecting the hidden confounders associated with COVID-19 incidence. It is important to note that sanitation factors were associated only in rural regions. Improving access to sanitation facilities in rural regions of the Philippines is imperative to effectively mitigate disease transmission in future pandemics. Identification of the causal effect of unobserved confounders with COVID-19 incidence is recommended for future research.
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　16　(1)　1-13　2024/03

DOI： 10.1007/s12560-023-09571-2 　

ISSN： 1867-0334

eISSN： 1867-0342
生活排水処理システムの多面的評価と集中分散ベストミックスのための数理最適化

Wakana OISHI, Yuto NAKAZATO, Daijiro MIZUTANI, Daisuke SANO

80　(25)　2024
Genetic diversity of murine norovirus populations less susceptible to chlorine

Aken Puti Wanguyun, Wakana Oishi, Andri Taruna Rachmadi, Kazuhiko Katayama, Daisuke Sano

Frontiers in Microbiology　15　2024

DOI： 10.3389/fmicb.2024.1372641 　

eISSN： 1664-302X
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　251　114187-114187　2023/06
Publisher: Elsevier BV
DOI： 10.1016/j.ijheh.2023.114187 　

ISSN： 1438-4639

eISSN： 1618-131X
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 and Technology　9　(4)　1008-1029　2023/03/01

DOI： 10.1039/d2ew00832g 　

ISSN： 2053-1400

eISSN： 2053-1419
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　11　2023

DOI： 10.3389/fpubh.2023.1286595 　

eISSN： 2296-2565
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. International-journal

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

The Science of the total environment　807　(Pt 2)　150722-150722　2022/02/10

DOI： 10.1016/j.scitotenv.2021.150722 　

ISSN： 0048-9697

eISSN： 1879-1026
COVID-19 case prediction via wastewater surveillance in a low-prevalence urban community: a modeling approach. International-journal

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　2022/02

DOI： 10.2166/wh.2022.183 　

ISSN： 1477-8920

eISSN： 1996-7829
PROJECTING VIRUS INACTIVATION EFFICIENCY IN CHLORINE DISINFECTION TOWARDS HYGIENIC SAFETY MANAGEMENT OF WASTEWATER EFFLUENT WITH AN ENVIRONMENAL PREDICTIVE MICROBIOLOGICAL APPROACH

Atsuhiro ISHII, Wakana OISHI, Syun-suke KADOYA, Daisuke SANO

Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research)　78　(7)　III_11-III_21　2022
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejer.78.7_iii_11 　

eISSN： 2185-6648
Experimental Adaptation of Murine Norovirus to Calcium Hydroxide. International-journal

Wakana Oishi, Mikiko Sato, Kengo Kubota, Ryoka Ishiyama, Reiko Takai-Todaka, Kei Haga, Kazuhiko Katayama, Daisuke Sano

Frontiers in microbiology　13　848439-848439　2022

DOI： 10.3389/fmicb.2022.848439 　

eISSN： 1664-302X
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　8　(11)　924-931　2021/11/09
Publisher: American Chemical Society (ACS)
DOI： 10.1021/acs.estlett.1c00537 　

ISSN： 2328-8930

eISSN： 2328-8930
Early warning of COVID-19 in Tokyo via wastewater-based epidemiology: How feasible it really is? Peer-reviewed

Yifan Zhu, Wakana Oishi, Mayuko Saito, Masaaki Kitajima, Daisuke Sano

Journal of Water and Environment Technology　19　(3)　170-183　2021/06
Publisher: Japan Society on Water Environment
DOI： 10.2965/jwet.21-024 　

eISSN： 1348-2165
Early warning of COVID-19 via wastewater-based epidemiology: potential and bottlenecks. International-journal

Yifan Zhu, Wakana Oishi, Chikako Maruo, Mayuko Saito, Rong Chen, Masaaki Kitajima, Daisuke Sano

The Science of the total environment　767　145124-145124　2021/05/01

DOI： 10.1016/j.scitotenv.2021.145124 　

ISSN： 0048-9697

eISSN： 1879-1026
Hierarchical Bayesian modeling for predictive environmental microbiology toward a safe use of human excreta: Systematic review and meta-analysis. International-journal

Wakana Oishi, Syun-Suke Kadoya, Osamu Nishimura, Joan B Rose, Daisuke Sano

Journal of environmental management　284　112088-112088　2021/04/15

DOI： 10.1016/j.jenvman.2021.112088 　

ISSN： 0301-4797

eISSN： 1095-8630
Viral Interference as a Factor of False-Negative in the Infectious Adenovirus Detection Using Integrated Cell Culture-PCR with a BGM Cell Line. International-journal

Daisuke Sano, Ryosuke Watanabe, Wakana Oishi, Mohan Amarasiri, Masaaki Kitajima, Satoshi Okabe

Food and environmental virology　13　(1)　84-92　2021/03

DOI： 10.1007/s12560-020-09453-x 　

ISSN： 1867-0334

eISSN： 1867-0342
Wastewater-based Epidemiology for Infectious Diseases: The Foundations and Future Perspectives

OISHI Wakana, ZHU Yifan, MARUO Chikako, SAITO Mayuko, KITAJIMA Masaaki, SANO Daisuke

Journal of Japan Society on Water Environment　44　(5)　125-133　2021
Publisher: Japan Society on Water Environment
DOI： 10.2965/jswe.44.125 　

ISSN： 0916-8958

eISSN： 1881-3690

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Wastewater-base epidemiology may be a promising approach to capturing the dynamics of the spread of diseases as well as emerging mutants in a catchment. Herein, we describe the key components of the wastewater-based epidemiology of viral infectious diseases, including the optimization of the methodology of the detection and quantification of viral genomes and the development of a back-calculation model to estimate the number of infected individuals. Early warning based on the influent viral concentration in a wastewater treatment plant may be feasible when it takes longer than one week to tally the number of patients of the target infectious disease by the currently used sentinel surveillance under the infectious diseases control law. The variables of a back-calculation model are categorized into two types: common variables irrespective of the type of infectious disease and variables specific to the infectious disease including shedding profiles of viruses. Greater effort is required to develop a robust back-calculation model against variability and uncertainty due to environmental, geological, and personal differences.
Inactivation kinetics modeling of Escherichia coli in concentrated urine for implementing predictive environmental microbiology in sanitation safety planning. International-journal

Wakana Oishi, Ikuo Kato, Nowaki Hijikata, Ken Ushijima, Ryusei Ito, Naoyuki Funamizu, Osamu Nishimura, Daisuke Sano

Journal of environmental management　268　110672-110672　2020/08/15

DOI： 10.1016/j.jenvman.2020.110672 　

ISSN： 0301-4797

eISSN： 1095-8630
NATURAL INACTIVATION KINETICS MODELING FOR A WATERBORNE ENTERIC VIRUS IN SURFACE WATER USING SPARSE REGRESSION AND HIERARCHICAL BAYESIAN ESTIMATION

OISHI Wakana, KATO Ikuo, NISHIMURA Osamu, SANO Daisuke

Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research)　76　(7)　III_449-III_460　2020
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejer.76.7_iii_449 　 10.2208/jscejer.78.7_iii_11_references_DOI_MM1xoWWJ81rVG1P9Wjd9uvbueQm 　

ISSN： 1341-5115

eISSN： 2185-6648

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Unplanned and planned wastewater reuse are increasing and promising practices for a sustainable surface water resource management. However, pathogenic risk associated with wastewater reuse is a main concern due to the presence of negligible number of infectious enteric viruses in wastewater treatment effluent. A natural inactivation kinetics model of a pathogenic microorganism is essential to fully implement the HACCP approach into the sanitation safety planning. This study aimed to develop a natural inactivation kinetics model of an enteric virus of which predictors were measurable chemical and physical indicators of water matrix. First, the dataset of the time-course decay of the genus enterovirus and the chemical and physical indicators were collected through a literature review to be applied to the model construction. Second, we employed the sparse regression to select the model explanatory variables among temperature, acidic pH, alkaline pH and virus initial concentration. The inactivation rate constant of the Hom model was expressed as a function of alkaline pH, logarithm of the virus initial concentration, squared temperature and squared acidic pH, and the empirical constant was expressed as a function of the inactivation rate constant and temperature. The model parameters were estimated using the hierarchical Bayesian estimation, which provided the 95% credible interval of the time-course decay of enterovirus under varied pH and temperature. Finally, we validated the model with the measured natural decay of Enterovirus 71 (EV71) in buffer solutions (pH 7.0, 7.5, 8.0 and 4oC, 20oC, respectively), and demonstrated that the EV71 concentration was successfully predicted within the 95% credible intervals under the tested environmental conditions. Further studies need to include the contribution of other virucidal factors such as sunlight irradiations and suspended solid to the inactivation kinetics model.
Sign-constrained linear regression for prediction of microbe concentration based on water quality datasets. International-journal

Tsuyoshi Kato, Ayano Kobayashi, Wakana Oishi, Syun-Suke Kadoya, Satoshi Okabe, Naoya Ohta, Mohan Amarasiri, Daisuke Sano

Journal of water and health　17　(3)　404-415　2019/06

DOI： 10.2166/wh.2019.001 　

ISSN： 1477-8920

eISSN： 1996-7829
Identification of the inactivating factors and mechanisms exerted on MS2 coliphage in concentrated synthetic urine. International-journal

Wakana Oishi, Daisuke Sano, Loic Decrey, Syunsuke Kadoya, Tamar Kohn, Naoyuki Funamizu

The Science of the total environment　598　213-219　2017/11/15

DOI： 10.1016/j.scitotenv.2017.04.088 　

ISSN： 0048-9697

eISSN： 1879-1026

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Misc. 2

My personal experience and future prospects

Wakana Oishi

Journal of Japan Society on Water Environment　47A　(11)　408-409　2024/11
Environmental predicitive microbiology

Journal of Japan Society on Water Environment　46A　(12)　427-428　2023/12

Books and Other Publications 1

講座サニテーション学4 サニテーションと健康

原田, 英典, 山内, 太郎, 三島, 伸介, 佐井, 旭, 中澤, 港, 杉田, 映理, 五味, 良太, 大石, 若菜, 佐野, 大輔, 浅田, 安廣, 神原, 咲子

北海道大学出版会　2023/03

ISBN: 9784832929548

Presentations 17

Development of a multi-objective optimization model for designing sewer and non-sewer hybrid sanitation systems

Wakana Oishi, Yuto Nakazato, Daijiro Mizutani, Daisuke Sano

The 7th IWA International Conference on eco-Technologies for Wastewater Treatment (ecoSTP)　2025/06/24
多視点に基づく集中分散ベストミックスの数理的探索 Invited

大石若菜

土木学会環境工学委員会中長期下水道施設システム調査小委員会・国土交通省主催講演会「下水の道を極める−破−」　2025/02/07
MULTIDIMENSIONAL EVALUATION OF DOMESTIC WASTEWATER TREATMENT SYSTEMS AND MATHEMATICAL OPTIMIZATION FOR A BEST MIX OF CENTRALIZED AND DECENTRALIZED SYSTEMS

Wakana OISHI, Yuto NAKAZATO, Daijiro MIZUTANI, Daisuke SANO

2024/11/28
CONBINATIONAL OPTIMIZATION OF CENTRALIZED AND DECENTRALIZED DOMESTIC WASTEWATER TREATMENT SYSTEMS BASED ON MULTIDIMENSIONAL EVALUATION

Wakana Oishi, Nakazato Yuto, Daijiro Mizutani, Daisuke Sano

2024/11/03
健康を支える土木 Invited

大石若菜

東北大学・教養教育院・ILAS コロキウム2023「若手研究者が語る『知』の最前線」　2023/11/14
定量・検出限界値の考え方 Invited

佐野大輔, 大石若菜

日本下水道新技術機構・下水疫学における最新の動向に関するWEBセミナー　2023/06/21
Revealing the spatial and temporal dynamics of COVID-19 by wastewater surveillance

Oishi, W, Hara, Y, Iryo, T, Sano, D

2022 International Conference on the “Challenges in Environmental Science and Engineering”(CESE-2022)
ウイルス感染症流行制御のための下水疫学調査 Invited

大石若菜

NPO 法人廃棄物地盤工学研究会令和3年度セミナー　2022/03/15
病原体不活化モデルに基づくし尿の衛生学的安全管理手法の確立

大石若菜, 佐野大輔

第13回廃棄物資源循環学会東北支部・第9回日本水環境学会東北支部合同研究発表会　2022/02/19
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”
予測環境微生物学に基づく資源回収型サニテーションの病原リスク管理手法の構築

大石若菜, 西村修, 片山和彦, 戸高玲子, 芳賀慧, 佐野大輔

第24回日本水環境学会シンポジウム
Inactivation kinetic modelling of Escherichia coli in the concentrated synthetic urine

Oishi, W, Kato, I, Nishimura, O, Sano, D

IWA Digital World Water Congress　2021
スパース推定法と階層ベイズ推定法による環境水中ウイルス自然死滅モデルの構築

大石若菜, 加藤郁夫, 西村修, 佐野大輔

第57回環境工学研究フォーラム
Natural inactivation kinetics modeling of a waterborne enteric virus in surface water by sparse regression and hierarchical Bayesian estimation

Oishi, W, Kato, I, Nishimura, O, Sano, D

Water Environment and Technology Conference 2020
Hierarchical Bayesian modeling for predictive environmental microbiology towards safe resource recovery from human excreta

Oishi, W, Kadoya, S, Nishimura, O, Sano, D

2nd Sustainable Waste Management Conference
Inactivation and damage to bacteriophage MS2 by ammonia in human excreta

Oishi, W, Decrey, L. Tezuka, R, Sano, D, Kohn, T, Funamizu, N

11th IWA Specialist Group Conference on Wastewater Pond Technologies
Inactivation of pathogenic bacteria in concentrated urine

Oishi, W, Tezuka, R, Hijikata, N, Ito, R, Ushijima, K, Funamizu, N

12th specialized conference on small water and Wastewater Systems & 4th specialized conference on resource-oriented sanitation

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Research Projects 5

WASH-related diarrhea risk structure and climate change impact in African peri-urban low-income areas

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Grant-in-Aid for Scientific Research (B)

Institution: Kyoto University

2024/04/01 - 2028/03/31
水インフラによる持続可能な感染リスク制御のためのウイルス消毒適応メカニズムの解明

大石若菜

Offer Organization: 日本学術振興会

System: 科学研究費助成事業

Category: 若手研究

Institution: 東北大学

2023/04/01 - 2028/03/31
Photoproduction of radicals and their effects on carbon dynamics in tropical lakes

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Fund for the Promotion of Joint International Research (International Collaborative Research)

Institution: Tokyo Institute of Technology

2023/09/08 - 2027/03/31
Optimization of human health and ecosystem health in sanitation systems

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Grant-in-Aid for Research Activity Start-up

Institution: Tohoku University

2022/08/31 - 2024/03/31
Inactivation kinetics modeling of enteric viruses for predictive environmental microbiology toward a safe use of human excreta

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research Grant-in-Aid for JSPS Fellows

Category: Grant-in-Aid for JSPS Fellows

Institution: Tohoku University

2020/04/24 - 2022/03/31

Social Activities 1

講話泥遊びの実践

ソニー幼児教育支援プログラム 2022年度優秀園論文「この水って飲めるのかな」―泥遊びからはじまるきれいな水への探求―

2022/08/29 -