date |
Reports |
Organization |
Researcher |
Research Question |
topic |
2023.03.23
|
Panel Discussion Transformation of Infection Simulation and Timing Pandemic Response
|
|
|
#RQ1_2022
|
|
2023.03.22
|
Summary of existing research on COVID-19 sequelae -Overseas literatures-
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ1_2022
|
|
2023.03.22
|
Summary of existing research on COVID-19 sequelae -Domestic literatures-
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ1_2022
|
|
2023.03.22
|
Summary of existing research on COVID-19 sequelae
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ1_2022
|
|
2023.03.16
|
Marriage and childbirth during the COVID-19 pandemic
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ1_2022
|
|
2023.03.16
|
Subjective COVID-19 risk assessment
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2023.03.16
|
Impact of close contact isolation on employment
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2023.03.16
|
Verification of infection control effects of three policies related to COVID-19
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2023.03.16
|
Employment impact of COVID-19 infection
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2023.03.16
|
Mask wearing status and willingness to wear masks from August 2022 to the first week of March 2023
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2023.03.07
|
Visualization of virus infection risk in elementary schools
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ1_2022
|
|
2023.02.28
|
Long-term projection of new positives in Tokyo
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2023.02.27
|
Future outlook for beds (Tokyo, Hokkaido, Yamagata, Osaka) #2
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2023.02.24
|
Influence of transportation and direction of travel entropy
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ1_2022
|
|
2023.02.24
|
Visualization model of office infection risk -Effects of mask use and multiple floors-
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ1_2022
|
|
2023.02.14
|
Future outlook for beds (Tokyo, Hokkaido, Yamagata, Osaka)
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2021
|
|
2023.02.08
|
Droplet diffusion simulation and infection risk assessment in case of continuing to speak loudly at events
|
#RIKEN Center for Computational Science
#Kobe University
|
#Makoto Tsubokura
|
#RQ2_2022
|
|
2023.02.08
|
Excessive relaxation of behavior may lead to a slight increase in the number of infected people due to a decrease in the effectiveness of vaccines and hybrid immunity.
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Yukio Ohsawa
|
#RQ1_2022
|
|
2023.02.08
|
Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement #16
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2022
|
|
2023.01.30
|
Vaccination Game
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ1_2022
|
|
2023.01.27
|
Outlook for beds in the 8th Wave (Tokyo, Hokkaido, Yamagata, Osaka)#5
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2023.01.27
|
Visualization model of office infection risk -Risk of close contact-
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ1_2022
|
|
2023.01.27
|
Projection of new positives after the 8th wave ~ Possibility of XBB.1.5 expansion ~
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2023.01.12
|
Beware of frequent visits to places where many strangers gather
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ1_2022
|
|
2023.01.12
|
Projection of new positives and deaths in the 8th wave #4
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2023.01.12
|
Retrospective cohort study on the aftereffects of COVID-19 using medical fee statement data (3) ~ The 6th wave vs Influenza~
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2023.01.12
|
Outlook for beds in the 8th Wave (Tokyo, Hokkaido, Yamagata, Osaka)#4
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2023.01.12
|
Deviation between the basic scenario and actuals -2022-
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2023.01.12
|
Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement #15
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2022
|
|
2023.01.04
|
Social implementation of COVID-19 treatment strategy algorithm by CT image using machine learning
|
#fcuro
|
#Naoki Okada
|
#RQ2_2022
|
|
2022.12.27
|
Retrospective cohort study on the aftereffects of COVID-19 using medical fee statement data (2) ~About progress~
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.12.27
|
Projection of new positives and deaths in the 8th wave #3
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.12.27
|
Outlook for beds in the 8th Wave (Tokyo, Hokkaido, Yamagata, Osaka) #3
|
#The University of Tokyo (Spatial Information Science)
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.12.21
|
Outlook for beds in the 8th Wave (Tokyo, Hokkaido, Yamagata, Osaka) #2
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.12.13
|
Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement #14
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2022
|
|
2022.12.13
|
Projection of new positives and deaths in the 8th wave #2
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.12.13
|
Retrospective cohort study on the aftereffects of COVID-19 using medical fee statement data (1) ~About progress~
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.12.09
|
Outlook for beds in the 8th Wave (Tokyo, Hokkaido, Yamagata, Osaka)
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.12.02
|
Projection of new positives and deaths in the 8th wave
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.12.02
|
Be careful in places where many strangers gather
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ1_2022
|
|
2022.12.02
|
Marriage and Birth in the Covid-19 Pandemic
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ1_2022
|
|
2022.12.02
|
Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement #13
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2022
|
|
2022.11.15
|
Outlook for beds in the 8th Wave (Tokyo, Hokkaido, Yamagata, Osaka, Okinawa)
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.11.15
|
Projection of new positives and deaths in the 8th wave ~The 8th wave in metropolitan areas depends on the mutation strain~
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.11.15
|
Possibility of continued spread of reinfection (8th wave)
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ1_2022
|
|
2022.11.01
|
The Network of Questions “Visualization of Questions” Contributing to the With Corona Life Living Lab (Social Implementation Research by Kondo G)
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ1_2022
|
|
2022.10.31
|
Convergence Factors of the 5th to 7th Waves ~In considering future measures~
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.10.31
|
Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement #12
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2022
|
|
2022.10.18
|
Prediction of the number of new infections and deaths in the future ~Changes due to vaccination period and year-end and New Year activities~
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.10.18
|
Visualization model of household infection risk -Risk of close contact-
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ1_2022
|
|
2022.10.18
|
Possibility of spread of reinfection
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ1_2022
|
|
2022.10.18
|
Evaluation of shortened quarantine period in the 7th wave
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ1_2022
|
|
2022.10.18
|
Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement #11
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2022
|
|
2022.10.18
|
Vaccine distribution strategy
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.10.04
|
Infection in a population considering hybrid immunity Time transition of preventive effect and possibility of 8th wave
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.10.04
|
Outlook for beds in the 7th Wave (Tokyo, Osaka, Kanagawa, Okinawa) #6
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.10.04
|
Outlook for beds in 47 prefectures #7
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.10.04
|
If the true infection experience is about 50%, it might have already converged? ?
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ1_2022
|
|
2022.10.04
|
Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement #10
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2022
|
|
2022.09.18
|
Outlook for beds in the 7th Wave (Tokyo, Osaka, Kanagawa, Okinawa) #5
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.09.13
|
Relationship between infection prevention effect in a group and peak timing (5th-7th waves)
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.09.13
|
Is it desirable to maintain a lifestyle centered on interaction with “usual companions”?
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ1_2022
|
|
2022.09.13
|
Analysis of nursery school closures
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ1_2022
|
|
2022.09.13
|
Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement #9
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2022
|
|
2022.09.06
|
Regarding the prediction of the number of severe cases and deaths after the 7th wave Vaccine efficacy after 2022 #2
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.08.30
|
International comparison of children’s vaccination status
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ1_2022
|
|
2022.08.30
|
Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement #8
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2022
|
|
2022.08.30
|
Regarding the prediction of the number of severe cases and deaths after the 7th wave Vaccine efficacy after 2022
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.08.30
|
Outlook for beds in the 7th Wave (Tokyo, Osaka, Kanagawa, Okinawa) #4
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.08.30
|
Socio-economic activities during the COVID-19 pandemic
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.08.30
|
Economic Losses from the Coronavirus Crisis: An International Comparison #2
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.08.30
|
Relationship between infection, economy, and human flow in 47 prefectures #4
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.08.30
|
Estimation model of risk for domestic contact infection: Second homer risk and Risk for home care workers
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ1_2022
|
|
2022.08.18
|
Projection of the number of positives by BA.5 #5
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.08.16
|
Outlook for beds in 47 prefectures #6
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.08.16
|
Outlook for beds in the 7th Wave (Tokyo, Osaka, Kanagawa, Okinawa) #3
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.08.16
|
Projection of the number of positives by BA.5 #4
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.08.16
|
Excess suicides due to Covid-19 #4
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.08.16
|
Marriage and childbirth during the COVID-19 crisis
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ1_2022
|
|
2022.08.16
|
Close contact measures and testing during the seventh wave
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ1_2022
|
|
2022.08.16
|
Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement #7
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2022
|
|
2022.08.16
|
July 2022 Citizen’s Living Behavior Survey Result Report
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ1_2022
|
|
2022.08.16
|
Estimated new positives for Omicron variant (Tokyo) #12
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ1_2022
|
|
2022.08.02
|
Outlook for beds in the 7th Wave (Tokyo, Osaka, Kanagawa, Okinawa)#2
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.08.02
|
Stagnation of economic activity due to movement restrictions and medical pressure
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.08.02
|
Outlook for beds in 47 prefectures #5
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.08.02
|
Projection of the number of positives by BA.5 #3
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.08.02
|
Before the nationwide spread of infection, attention to the “internal and external borders” in daily life
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ1_2022
|
|
2022.08.02
|
Estimated new positives for Omicron variant (Tokyo) #11
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ1_2022
|
|
2022.08.02
|
Estimates of the Number of Closed Childcare Centers, etc.
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ1_2022
|
|
2022.08.02
|
Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement #6
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2022
|
|
2022.07.26
|
Projection of the number of positives by BA.5 #2
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.07.19
|
Outlook for beds in the 7th Wave (Tokyo, Osaka, Kanagawa, Okinawa)
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.07.19
|
Options for COVID-19 Countermeasures During the 7th Wave
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.07.19
|
Summary of empirical analysis on behavioral restrictions and information effects (fear effects)
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.07.19
|
Excess suicides due to Covid-19 #3
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.07.19
|
Outlook for beds in 47 prefectures #4
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.07.19
|
Relationship between infection, economy, and human flow in 47 prefectures #3
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.07.19
|
Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement #5
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2022
|
|
2022.07.19
|
Projection of the number of positives by BA.5
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.07.19
|
Is it a further outbreak nationwide by changing parameters based on BA5??
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ1_2022
|
|
2022.07.19
|
Estimated new positives for Omicron variant (Tokyo) #10
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ1_2022
|
|
2022.07.19
|
Impact of BA.5 and mitigation of measures # 2 (provisional version)
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ1_2022
|
|
2022.07.11
|
Projection of positives and deaths from new variants #2
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.07.05
|
Estimated new positives for Omicron variant (Tokyo) #9
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ1_2022
|
|
2022.07.05
|
Forecast of severe illness rate, case fatality rate and hospitalization rate during the 7th wave
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.07.05
|
Outlook for beds in 47 prefectures #3
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.07.05
|
Projection of positives and deaths from new variants
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.07.05
|
Examination of a model considering intercity movement
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ1_2022
|
|
2022.07.05
|
Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement #4
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2022
|
|
2022.06.22
|
Rate of Severe Illness and Case Fatality Rate during the Sixth WavePost-verification of forecast presented in January 2022
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.06.22
|
Excess suicides due to Covid-19 #2
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.06.22
|
Outlook for beds in 47 prefectures #2
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.06.22
|
Relationship between infection, economy, and human flow in 47 prefectures #2
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.06.22
|
Prediction of new infections and deaths by age group #2
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.06.22
|
Children’s Health During the COVID-19 Pandemic
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ1_2022
|
|
2022.06.22
|
Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement #3
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2022
|
|
2022.06.07
|
Estimated number of newly infected persons by age group considering BA4
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.06.07
|
Even if the scope is expanded to Tokyo and 3 prefectures, is it safe to meet usual friends?
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ1_2022
|
|
2022.06.07
|
Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement #2
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2022
|
|
2022.05.24
|
Outlook for beds in 47 prefectures
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.05.24
|
Economic Loss in under Covid-19: International Comparison
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.05.24
|
Excess suicides due to Covid-19
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.05.24
|
Relationship between infection, economy, and human flow in 47 prefectures
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.05.24
|
Relationship between infection, economy, and human flow in 47 prefectures -Explanation of reports and dashboards-
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.05.24
|
Is it safe to meet usual friends?
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Yukio Ohsawa
|
#RQ1_2022
|
|
2022.05.24
|
Estimated new positives for Omicron variant (Tokyo) #8
|
#Faculty of Science and Technology, Keio University
|
#Setsuya Kurahashi
|
#RQ1_2022
|
|
2022.05.24
|
Prediction of new infections and deaths by age group
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ1_2022
|
|
2022.05.10
|
Corona-related datasets by prefecture
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ1_2022
|
|
2022.05.10
|
Policy of phase 3 initiatives
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ1_2022
|
|
2022.05.10
|
Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2022
|
|
2022.03.22
|
Estimates of new positive patients for Omicron variant (Tokyo) #7
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2022.03.22
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #26
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2022.03.22
|
Updates on prediction of new infections, severe cases, etc. #5
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2022.03.22
|
Outlook for COVID-19 and Economic Activity after the Lifting of Priority Measures to Prevent the COVID-19 Spread
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2022.03.22
|
Even if the government lifts the ban on the spread of the virus, will it be possible to avoid a major resurgence in the number of infected people?
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2022.03.08
|
No need to be afraid of infection numbers – In the case of the low severity rate scenario #4
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2022.03.08
|
Updates on prediction of new infections, severe cases, etc. #4
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2022.03.08
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #32
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2022.03.08
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #25
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2022.03.08
|
COVID-19 infection and economic outlook #13
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2022.03.08
|
Children’s excessive suicide rates during COVID-19 #2
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2022.03.08
|
Analysis of the number of school and class closures #2
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ3_2021
|
|
2022.03.08
|
Divorce rates during COVID-19
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ3_2021
|
|
2022.03.01
|
Updates on prediction of new infections, severe cases, etc. #3
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2022.03.01
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #24
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2022.03.01
|
Effect of Children’s Infection and Isolation on Guardians’ Employment
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ3_2021
|
|
2022.03.01
|
Marriage and birth rates during COVID-19
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ3_2021
|
|
2022.03.01
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #31
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2022.03.01
|
COVID-19 infection and economic outlook #12
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2022.02.22
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #23
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2022.02.22
|
Updates on prediction of new infections, severe cases, etc. #2
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2022.02.22
|
COVID-19 infection and economic outlook #11
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2022.02.22
|
No need to be afraid of infection numbers – Towards post-corona era #3 – moderate sociability recommended
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2022.02.22
|
Estimates of new positive patients for Omicron variant (Tokyo) #6
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2022.02.22
|
Analysis of the number of school and class closures
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ3_2021
|
|
2022.02.22
|
Omicron Outbreak Strategy #2
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
|
2022.02.22
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #30
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2022.02.15
|
Omicron Outbreak Strategy #1
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
|
2022.02.15
|
Updates on prediction of new infections, severe cases, etc.
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2022.02.15
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #22
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2022.02.15
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #29
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2022.02.15
|
COVID-19 infection and economic outlook #10
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2022.02.15
|
Estimates of the number of daycare closures
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ3_2021
|
|
2022.02.08
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #21
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2022.02.08
|
Peak numbers of new infections – Examples of future forecasts in Tokyo
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2022.02.08
|
No need to be afraid of infection numbers – Towards post-corona era #2
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2022.02.08
|
Estimates of new positive patients for Omicron variant (Tokyo) #5
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2022.02.08
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #28
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2022.02.08
|
Prospects for the number of critically ill patients in Tokyo (new standard)
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2022.02.08
|
Children’s excessive suicide rates during COVID-19
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2022.02.08
|
Birth rates during COVID-19
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ3_2021
|
|
2022.02.08
|
Marriage rates during COVID-19
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ3_2021
|
|
2022.02.01
|
Rapid expansion of Omicron variants and upper limits of testing capacity
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
|
2022.02.01
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #27
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2022.02.01
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #20
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2022.02.01
|
Analysis of the preventive effect of vaccination and the effect of emergency declaration
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2022.02.01
|
Severity and mortality in wave 6: impact of restriction on the number of PCR tests
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2022.01.25
|
Rapid expansion simulation of Omicron variant #2
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
|
2022.01.25
|
Estimates of the number of new positive cases and bed utilization in January
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2022.01.25
|
Outlook for COVID-19 and Economic Activity – Impact of stricter hospitalization standards #9
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2022.01.25
|
No need to be afraid of infection numbers – Towards post-corona era (low severity scenario)
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2022.01.25
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #26
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2022.01.25
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #19
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2022.01.25
|
Visualization of the risk of household contact infection
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2022.01.25
|
Estimates of new positive patients for Omicron variant (Tokyo) #4
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2022.01.18
|
Rapid expansion simulation of Omicron variant #1
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
|
2022.01.18
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #18
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2022.01.18
|
Estimates of new positive patients for Omicron variant(Tokyo) #3
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2022.01.18
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #25
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2022.01.18
|
Analysis and Future Prediction of Omicron Variant Diffusion
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2022.01.18
|
Analysis of Omicron variant: cost of booster inoculation and contact isolation
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ3_2021
|
|
2022.01.18
|
Stagnation of economic activity following the emergency declaration
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2022.01.18
|
Outlook for COVID-19 and Economic Activity #8
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2022.01.11
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #24
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2022.01.11
|
Estimates on new positive persons for Omicron variant (Tokyo) #2
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2022.01.11
|
The O variant will exceed 10,000 in early February (Tokyo)
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2022.01.11
|
Monitoring of severity and mortality in 6th wave
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2022.01.11
|
Severity rate and fatality rate in 6th wave
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2022.01.11
|
COVID-19 infection and economic outlook #7
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2022.01.11
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #17
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2022.01.11
|
Analysis and forecast of COVID-19 spread from the end of 2021 to the beginning of 2022
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2022.01.04
|
Changes in the number of new positive cases due to the infectivity of Omicron variants
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.12.30
|
Prediction of virus droplet infection in indoor environments and countermeasures against it #9
|
#RIKEN Center for Computational Science
#Kobe University
|
#Makoto Tsubokura
|
#RQ2_2021
|
#Splash Analysis
|
2021.12.30
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #16
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2021.12.23
|
Omicron Variant
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.12.21
|
Booster vaccination is mandatory if Omicron variant is at or above risk of severe disease – liberalization of doctors’ judgment is the deciding factor
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.12.21
|
Projection of the number of new positive persons assuming the prevalence of Omicron variant
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.12.21
|
Simulation for intrusion of Omicron variant #2
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
|
2021.12.21
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #15
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2021.12.21
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #23
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.12.21
|
Analysis of Omicron variants: vaccines and vaccine passports
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ3_2021
|
|
2021.12.21
|
Estimates of new positive patients for Omicron variant(Tokyo)
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2021.12.20
|
Risk assessment of droplet and aerosol transmission during events
|
#RIKEN Center for Computational Science
#Kobe University
|
#Makoto Tsubokura
|
#RQ2_2021
|
|
2021.12.14
|
Deviation between the basic scenario and actuals
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.12.14
|
Projection of the number of new positive persons assuming the prevalence of Omicron variant
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.12.14
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #14
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2021.12.14
|
Five Reasons for the Decrease in the Number of Infected Persons and Findings for the Future
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.12.14
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #22
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.12.10
|
Measuring Characteristics of Aerosol
|
#RIKEN Center for Computational Science
|
#Satoshi Wada
|
#RQ2_2021
|
|
2021.12.07
|
Toward Higher Accuracy in Predicting the Number of New Positive Patients
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.12.07
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #13
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2021.12.07
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #21
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.12.07
|
Prevention of infection per population by the third vaccination scenario
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.11.30
|
Simulation for intrusion of Omicron variant #1
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
|
2021.11.30
|
Prevention of infection per population by the third vaccination scenario
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.11.30
|
Economic Value of Avoiding COVID-19 Death
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.11.30
|
Booster Vaccination planning
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.11.30
|
Data analysis: Coronavirus and Long-Distance Travel
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ3_2021
|
|
2021.11.30
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #20
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.11.16
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #12
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2021.11.16
|
Visualization model for infection risks at home
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2021.11.16
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #19
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.11.16
|
System Development for Predicting the Number of Infected Persons and Serious Injuries Considering Human Flow and Seasonality #9
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.11.16
|
Impact of active domestic travels
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ3_2021
|
|
2021.11.16
|
Relationship between human flow and rate of change in infection (Tokyo)
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2021.11.16
|
Suicide due to COVID-19
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.11.16
|
Revised plan of the new Shimoda Model
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.11.09
|
Spread and attenuation of COVID-19 in 3rd-5th waves
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.11.09
|
Application of Monitor Questionnaire Results to Network Generation Logic – Convergence Possibility by January Booster Initiation, Vaccine Passport Implementation, and Selective Booster Inoculation –
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.11.09
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #18
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.11.09
|
Factors behind the decrease in infections in Tokyo: quantitative analysis (abridged)
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.10.26
|
Wave Flow in KeyGraph: waves are not over
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.10.26
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #17
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.10.26
|
Factors behind the infection decrease in Tokyo: quantitative analysis.
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.10.19
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #11
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2021.10.19
|
Changes in new positive cases in Jul-Sep period
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.10.19
|
Risk of being overconfident
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.10.12
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #10
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2021.10.12
|
System Development for Predicting the Number of Infected Persons and Serious Injuries Considering Human Flow and Seasonality #8
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.10.12
|
Outlook for COVID-19 and Economic Activity #6
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.10.12
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #16
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.10.05
|
Increased human flow and booster inoculation – Estimating effects of vaccination rate and vaccination certificate – Tokyo case
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2021.10.05
|
Strategy Cocktail
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.10.05
|
Effect of Antibody Cocktail
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ3_2021
|
|
2021.10.05
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #9
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2021.10.05
|
System Development for Predicting the Number of Infected Persons and Serious Injuries Considering Human Flow and Seasonality #7
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.10.05
|
Suicides during COVID-19 period
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.10.05
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #15
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.09.29
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #8
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2021.09.29
|
System Development for Predicting the Number of Infected Persons and Serious Injuries Considering Human Flow and Seasonality #6
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.09.29
|
“The exit should be opened by someone close to you” – Effect of weeding – “Stay with Your Community”
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.09.29
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #14
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.09.29
|
Correlations between Corona Infection and Human Flow
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.09.29
|
Outlook for COVID-19 and Economic Activity #5
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.09.21
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #6
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2021.09.21
|
System Development for Predicting the Number of Infected Persons and Serious Injuries Considering Human Flow and Seasonality #5
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.09.21
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #13
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.09.21
|
Optimizing Medical and Laboratory Resources Simulation #28
|
#Mitsubishi research Institute, Inc.
|
|
#RQ3_2021
|
|
2021.09.21
|
Emergency confirmation – Booster doses should be administered promptly based on the antibody response
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.09.21
|
Simulations after lifting emergency declaration #2
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ3_2021
|
|
2021.09.14
|
Post-vaccination world: Long-term Outlook for COVID-19 and Economic Activity #2
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.09.14
|
System Development for Predicting the Number of Infected Persons and Serious Injuries Considering Human Flow and Seasonality #4
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.09.14
|
Effectiveness of emergency declarations, booster vaccinations, and vaccine passports
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.09.14
|
Date of lifting the declaration, increase in human flow, vaccine effect, booster vaccination, vaccination rate, restriction on vaccination certificate – their estimated effects (Tokyo)
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2021.09.14
|
Simulations after lifting emergency declaration
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ3_2021
|
|
2021.09.14
|
Lifting the Fourth Emergency Declaration and Subsequent Scenarios
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
|
2021.09.14
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #12
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.09.13
|
Measuring Characteristics of Aerosol Interim Report
|
#RIKEN Center for Computational Science
|
#Satoshi Wada
|
#RQ2_2021
|
|
2021.09.07
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #5
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2021.09.07
|
Strategy for Lifting the Fourth Emergency Declaration #1
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
|
2021.09.07
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #11
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.09.07
|
System Development for Predicting the Number of Infected Persons and Serious Injuries Considering Human Flow and Seasonality #3
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.09.07
|
Suicides during COVID-19 period: Analysis by Age and Gender
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.09.07
|
Message from the new model
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.09.07
|
Increased human flow and booster inoculation – Estimating effects of vaccination rate increase and vaccination certificate – Okinawa case
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2021.08.31
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #10
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.08.31
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #4
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2021.08.31
|
System Development for Predicting the Number of Infected Persons and Serious Injuries Considering Human Flow and Seasonality #2
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.08.31
|
Post-vaccination world: Long-term Outlook for COVID-19 and Economic Activity
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.08.31
|
Estimated effects of human flow suppression and vaccination certificate Tokyo model
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2021.08.31
|
Optimizing Medical and Laboratory Resources Simulation #27
|
#Mitsubishi research Institute, Inc.
|
|
#RQ3_2021
|
|
2021.08.24
|
Analysis on Tel Aviv’s Case in Israel
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.08.24
|
Relaxing behavioral restrictions following the spread of vaccination
|
#The Tokyo Foundation for Policy Research
|
#Asako Chiba
|
#RQ3_2021
|
|
2021.08.24
|
Progress on MultiLayer-MultiAgent model
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.08.24
|
Mid/Long-term Outlook for COVID-19 and Economic Activity #3
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.08.24
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #3
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2021.08.24
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #9
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.08.17
|
Infection and economic impact of lockdown
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.08.17
|
Mid/Long-term Outlook for COVID-19 and Economic Activity #2
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.08.17
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #8
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.08.17
|
Message from the new model – 1) Flexible and Strong SWTC; 2) Additional vaccination availability; 3) Choose connections #2
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.08.17
|
Estimated effects of human flow suppression
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2021.08.17
|
Optimizing Medical and Laboratory Resources Simulation #26
|
#Mitsubishi research Institute, Inc.
|
|
#RQ3_2021
|
|
2021.08.17
|
Infection control under the delta variant Part 5
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
|
2021.08.15
|
System Development for Predicting the Number of Infected Persons and Serious Injuries Considering Human Flow and Seasonality
|
#Center of Biomedical Physics and Information Technology
|
#Akimasa Hirata
|
#RQ3_2021
|
|
2021.08.13
|
Mid/Long-term Outlook for COVID-19 and Economic Activity
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.08.12
|
How to predict and conduct measures for viral droplet infection in indoor environments – Risk assessment and countermeasures at restaurants
|
#RIKEN Center for Computational Science
#Kobe University
|
#Makoto Tsubokura
|
#RQ2_2021
|
#Splash Analysis
|
2021.08.12
|
How to predict and conduct measures for viral droplet infection in indoor environments – Risk assessment and countermeasures at karaoke rooms
|
#RIKEN Center for Computational Science
#Kobe University
|
#Makoto Tsubokura
|
#RQ2_2021
|
#Splash Analysis
|
2021.08.10
|
Interim Report
|
#RIKEN Center for Computational Science
|
#Satoshi Wada
|
#RQ2_2021
|
|
2021.08.10
|
Measuring Characteristics of Aerosol Interim Report
|
#RIKEN Center for Computational Science
|
#Satoshi Wada
|
#RQ2_2021
|
|
2021.08.10
|
Infection control under the delta variant Part 4
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
|
2021.08.10
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #7
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.08.10
|
Outlook for COVID-19 and Economic Activity #4
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.08.10
|
Suicides during and after COVID-19 period #2
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.08.10
|
Message from the new model – 1) Flexible and Strong SWTC; 2) Additional vaccination availability; 3) Choose connections
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.08.03
|
Impact of the increase in the number of coronavirus beds on infection and the economy
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.08.03
|
Outlook for COVID-19 and Economic Activity #3
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.08.03
|
Effect of the declaration of a state of emergency, and estimation of positive patients, seriously ill patients, and inpatients #2
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2021.08.03
|
Effect of declining vaccine efficacy
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.08.03
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #6
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.08.03
|
Infection control under the delta variant Part 3
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
|
2021.07.27
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #2
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2021.07.27
|
Introducing MultiLayer-MultiAgent model and its progress
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.07.27
|
Outlook for COVID-19 and Economic Activity #2
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.07.27
|
Effect of the declaration of a state of emergency, and estimation of positive patients, seriously ill patients, and inpatients
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2021.07.27
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #5
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.07.20
|
Infection control under the delta variant Part 1
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
|
2021.07.20
|
Prediction of virus droplet infection in indoor environments and countermeasures against it #8
|
#RIKEN Center for Computational Science
#Kobe University
|
#Makoto Tsubokura
|
#RQ2_2021
|
#Splash Analysis
|
2021.07.20
|
Prediction of virus droplet infection in indoor environments and countermeasures against it #7
|
#RIKEN Center for Computational Science
#Kobe University
|
#Makoto Tsubokura
|
#RQ2_2021
|
#Splash Analysis
|
2021.07.20
|
From vaccination planning to life context networks
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
|
2021.07.20
|
Effectiveness of July 12th Emergency Declaration and Accelerated Vaccination Scenario Analysis
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2021.07.20
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #4
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.07.20
|
Suicides during and after COVID-19 period
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.07.20
|
Outlook for COVID-19 and Economic Activity
|
#Graduate School of Economics, Faculty of Economics, The University of Tokyo
|
#Taisuke Nakata
|
#RQ3_2021
|
|
2021.07.15
|
Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #1
|
#Institute of Industrial Science, the University of Tokyo
|
#Masashi Toyoda
|
#RQ1_2021
|
|
2021.07.13
|
Impact of Delta Variant #2
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.07.12
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #3
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.07.09
|
Prediction of viral droplet infection in indoor environment and its countermeasures #6
|
#RIKEN Center for Computational Science
#Kobe University
|
#Makoto Tsubokura
|
#RQ2_2021
|
#Splash Analysis
|
2021.07.09
|
Impact of Delta Variant #1
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.07.09
|
Vaccination Planning (Additional Analysis Report) “Natural and Rapid Vaccine Dissemination” for both infection control and Olympic
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
#Countermeasures Simulation
#Vaccination Strategy
|
2021.07.09
|
Estimated impact of 220,000 visitors to the Olympics Estimated vaccine efficacy by age of Delta strain
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
|
2021.06.28
|
Optimizing Medical and Laboratory Resources Simulation #23
|
#Mitsubishi research Institute, Inc.
|
|
#RQ3_2021
|
|
2021.06.18
|
A strategy for lifting the third declaration of the state of emergency
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.06.17
|
Simulation for Optimizing Medical and Laboratory Resources #22 – Olympic and Paralympic Response and Vaccination Effectiveness in Tokyo
|
#Mitsubishi research Institute, Inc.
|
#Mitsubishi research Institute, Inc
|
#RQ3_2021
|
#Resource Optimization
|
2021.06.17
|
Infection estimates for Olympic and Delta Variant
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.06.16
|
Vaccination planning (revise (2)) “Natural and rapid vaccine dissemination” for both infection control and Olympic mainstay
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.05.21
|
Impact of non-vaccinated clusters #1
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
|
2021.05.18
|
Vaccination planning (2) Naturally and quickly
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.04.21
|
Estimated Effectiveness of Priority Vaccination by Age Group
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.04.16
|
Correlation between movement pattern classification using movement trajectory data and infection spread
|
|
#Itsuki Noda
|
#RQ4_2020
|
|
2021.04.15
|
Simulation for Optimizing Medical and Laboratory Resources #16 – Effectiveness of Priority Measures to Prevent the Spread of Disease
|
#Mitsubishi research Institute, Inc.
|
#Mitsubishi research Institute, Inc
|
#RQ3_2021
|
#Infection Prevention Measures
#Resource Optimization
|
2021.04.15
|
Simulation results on priority order of vaccination #5
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.03.30
|
Correlation Analysis between Travel Pattern Classification and Effective Reproduction Number by Time-Based Regional Mesh Visit Analysis Based on Mobile GPS Data
|
#AIST
|
#Itsuki Noda
|
#RQ4_2020
|
|
2021.03.30
|
Vaccination Planning As an application of Stay with Your Community #2
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.03.30
|
Simulation of Medical and Laboratory Resource Optimization Vaccination Effectiveness Study #4
|
#Mitsubishi research Institute, Inc.
|
#Mitsubishi research Institute, Inc
|
#RQ3_2021
|
#Resource Optimization
#Vaccination Strategy
|
2021.03.30
|
Simulation results on priority order of vaccination #4
|
#Department of Information Systems Science, Soka University
|
#Tatumi Yamada
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.03.30
|
Prediction of COVID-19 Variants Infections (Tokyo, Japan) Comparison of Effects of Vaccination Speed, Circuit Breaker, and Priority Age Group
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.03.25
|
Estimating the Effectiveness of Vaccinations and Circuit Breakers: Tokyo’s Forecast of Infected People
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.03.23
|
Vaccination Planning As an application of Stay with Your Community
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.03.23
|
Simulation of Medical and Laboratory Resource Optimization Vaccination Effectiveness Study #3
|
#Mitsubishi research Institute, Inc.
|
#Mitsubishi research Institute, Inc
|
#RQ3_2021
|
#Resource Optimization
#Vaccination Strategy
|
2021.03.23
|
Simulation results on priority order of vaccination #3
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.03.16
|
Optimizing Medical and Laboratory Resources Simulation #15
|
#Mitsubishi research Institute, Inc.
|
#Mitsubishi research Institute, Inc
|
#RQ3_2021
|
#Resource Optimization
|
2021.03.16
|
Simulation results on priority order of vaccination #2
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.03.16
|
Estimating the Effectiveness of Vaccination for COVID-19 Variants: Predicting Infected Persons and Comparing Follow-up Vaccination and Mass Vaccination in Tokyo
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.03.11
|
Simulation of Medical and Laboratory Resource Optimization Vaccination Effectiveness Study #2
|
#Mitsubishi research Institute, Inc.
|
#Mitsubishi research Institute, Inc
|
#RQ3_2021
|
#Resource Optimization
#Vaccination Strategy
|
2021.03.11
|
Optimizing Medical and Laboratory Resources Simulation #14
|
#Mitsubishi research Institute, Inc.
|
#Mitsubishi research Institute, Inc
|
#RQ3_2021
|
#Resource Optimization
|
2021.03.10
|
Estimating the Effectiveness of Vaccination with COVID-19 Mutant Vaccine Predicting Infected People in Tokyo
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ4_2020
|
#Vaccination Strategy
|
2021.03.09
|
Simulation results on priority order of vaccination
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.03.08
|
Analysis of the spread of infection based on human behavioral patterns and small-world infection networks
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
#Infection Spread Model
|
2021.03.05
|
Optimizing Medical and Laboratory Resources Simulation #13
|
#Mitsubishi research Institute, Inc.
|
#Mitsubishi research Institute, Inc
|
#RQ3_2021
|
#Resource Optimization
|
2021.03.02
|
Phasing out self-restraint and vaccination strategies: Application of Stay with Your Community
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ3_2021
|
#Vaccination Strategy
|
2021.02.03
|
Final Summary Report< Breath Omics for the COVID-19: Virus Detection and AI Diagnosis >
|
#Tohoku University Graduate School of Medicine
|
#Takaaki Akaike
|
#RQ3_2020
|
#Inspection And Measurement Methods
|
2021.02.01
|
Multiagent model simulation : Prevention of infection in tourist destinations #2
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ4_2020
|
|
2021.02.01
|
Simulation study on the frequency of visits by region and the distribution of infected persons by resident using mobile phone base station location information
|
#SoftBank
|
|
#RQ3_2021
|
|
2021.01.29
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #2
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ1_2021
|
|
2021.01.12
|
Establishment of systematic test measurement method
|
#Tohoku University Graduate School of Medicine
|
#Yoshitaka Kimura
|
#RQ3_2020
|
#Inspection And Measurement Methods
|
2021.01.08
|
Human mobility analysis and visualization of economic impact of Covid 19 pandemic #2
|
#The University of Tokyo (Spatial Information Science)
#Mitsubishi research Institute, Inc.
|
#Satoru Nakajo
#Ryosuke Shibazaki
|
#RQ4_2020
|
#Economic Impact
|
2021.01.07
|
The economic effect of the restriction by Japanese government under COVID-19
|
#University of Hyogo
|
#Hiroyasu Inoue
|
#RQ4_2020
|
#Economic Impact
|
2020.12.25
|
Analysis of the Spread of COVID-19: Multiagent-based Simulation by Using Human Mobility Data
|
#AIST
|
#Masaki Onishi
|
#RQ2_2020
|
#Infection Simulation
|
2020.12.25
|
Development of Small LiDAR System for Visualization of Breathing and Comprehensive Measurement of Particle Size and Velocity Distribution in Exhalation, and Inactivation of Coronavirus by light irradiation
|
#RIKEN Center for Computational Science
|
#Satoshi Wada
|
#RQ1_2020
|
#Splash Analysis
|
2020.12.25
|
Human mobility analysis and visualization of economic impact of Covid 19 pandemic
|
#The University of Tokyo (Spatial Information Science)
#Mitsubishi research Institute, Inc.
|
#Ryosuke Shibazaki
#Satoru Nakajo
|
#RQ4_2020
|
#Economic Impact
|
2020.12.25
|
Factorization Analysis of ransportation Data
|
#AIST
|
#Itsuki Noda
|
#RQ4_2020
|
#Movement Information Analysis
|
2020.12.25
|
Agent-based simulation of COVID-19 infection cluster and its suppression with contact-trace application
|
#RIKEN Center for Computational Science
|
#Nobuyasu Ito
|
#RQ4_2020
|
#Infection Simulation
|
2020.12.23
|
Face mask wearing detection and crowd monitoring by video analytics AI #3
|
#NEC
|
|
#RQ2_2020
|
#Video Analysis Ai
|
2020.12.22
|
Monitoring carbon dioxide concentration in a room as an indicator of ventilation
|
#AIST
|
#Shiro Hara
|
#RQ2_2020
|
#Indoor CO2 Concentration
|
2020.12.21
|
Multiagent model simulation : Prevention of infection in the downtown area
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ4_2020
|
#Agent Simulation
#Infection Prevention Measures
|
2020.12.17
|
Prediction and Countermeasures for Infection by Virus Contaminated Droplet in Indoor Environment #4
|
#Kobe University
#RIKEN Center for Computational Science
|
#Makoto Tsubokura
|
#RQ1_2020
|
#Splash Analysis
|
2020.12.17
|
Simulation for optimizing medical and testing resources #2
|
#Mitsubishi research Institute, Inc.
|
#Mitsubishi research Institute, Inc
|
#RQ3_2020
|
#Resource Optimization
|
2020.12.15
|
Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data
|
#Faculty of Science and Technology, Keio University
|
#Satoshi Kurihara
|
#RQ4_2020
|
#Infection Simulation
|
2020.12.11
|
Face mask wearing detection and crowd monitoring by video analytics AI #2
|
#NEC
|
|
#RQ2_2020
|
#Video Analysis Ai
|
2020.12.04
|
Development of Systematic Measurement Methods for Reducing False Negative
|
#Tohoku University Graduate School of Medicine
|
#Takaaki Akaike
|
#RQ3_2020
|
#Inspection And Measurement Methods
|
2020.12.04
|
Early detection of infection Data consolidation/analysis for the development of a diagnostic-aid AI model using chest CT imaging
|
#Osaka General Medical Center
#fcuro
|
#Naoki Okada
|
#RQ5_2020
|
#Inspection And Measurement Methods
|
2020.12.04
|
Early detection of infection Visualization of the 3D structure of spike protein
|
#RIKEN Center for Computational Science
|
#Yuji Sugita
|
#RQ5_2020
|
#Inspection And Measurement Methods
|
2020.12.01
|
Multiagent model simulation: Effects of people’s gatherings, Effects of contact tracing, Effects of random tests
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ4_2020
|
#Infection Simulation
|
2020.12.01
|
Effects of mobility restrictions (long distance travel)
|
#Department of Information Systems Science, Soka University
|
#Tatsuo Unemi
|
#RQ4_2020
|
#Infection Simulation
|
2020.11.30
|
Multiagent model simulation : Prevention of infection in the downtown area
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ4_2020
|
#Agent Simulation
|
2020.11.27
|
Multiagent model simulation : Investigation of self-restraint measures #2
|
#The University of Tokyo (School of Engineering)
|
#Yukio Ohsawa
|
#RQ4_2020
|
#Infection Simulation
|
2020.11.27
|
Prediction and Countermeasures for Infection by Virus Contaminated Droplet in Indoor Environment #3
|
#Kobe University
#RIKEN Center for Computational Science
|
#Makoto Tsubokura
|
#RQ1_2020
|
#Splash Analysis
|
2020.11.18
|
Multiagent model simulation : Measures to prevent infection in tourist destinations #1
|
#Graduate School of Business Sciences, University of Tsukuba
|
#Setsuya Kurahashi
|
#RQ4_2020
|
#Agent Simulation
#Infection Prevention Measures
|
2020.11.18
|
Simulation for optimizing medical and testing resources
|
#Mitsubishi research Institute, Inc.
|
#Mitsubishi research Institute, Inc
|
#RQ3_2020
|
#Resource Optimization
|
2020.11.02
|
Face mask wearing detection and crowd monitoring by video analytics AI
|
#NEC
|
|
#RQ3_2020
|
#Video Analysis Ai
|
2020.11.02
|
Prediction and Countermeasures for Infection by Virus Contaminated Droplet in Indoor Environment #2
|
#Kobe University
#RIKEN Center for Computational Science
|
#Makoto Tsubokura
|
#RQ1_2020
|
#Splash Analysis
|
2020.08.24
|
Prediction and Countermeasures for Infection by Virus Contaminated Droplet in Indoor Environment
|
#Kobe University
#RIKEN Center for Computational Science
|
#Makoto Tsubokura
|
#RQ1_2020
|
|