List of Research Reports

Panel Discussion Transformation of Infection Simulation and Timing Pandemic Response

#RQ1_2022

Summary of existing research on COVID-19 sequelae -Overseas literatures-

#The Tokyo Foundation for Policy Research

#RQ1_2022

Summary of existing research on COVID-19 sequelae -Domestic literatures-

#The Tokyo Foundation for Policy Research

#RQ1_2022

Summary of existing research on COVID-19 sequelae

#The Tokyo Foundation for Policy Research

#RQ1_2022

Marriage and childbirth during the COVID-19 pandemic

#The Tokyo Foundation for Policy Research

#RQ1_2022

Subjective COVID-19 risk assessment

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Impact of close contact isolation on employment

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Verification of infection control effects of three policies related to COVID-19

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Employment impact of COVID-19 infection

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

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

#RQ1_2022

Visualization of virus infection risk in elementary schools

#Graduate School of Business Sciences, University of Tsukuba

#RQ1_2022

Long-term projection of new positives in Tokyo

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Future outlook for beds (Tokyo, Hokkaido, Yamagata, Osaka) #2

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Influence of transportation and direction of travel entropy

#The University of Tokyo (School of Engineering)

#RQ1_2022

Visualization model of office infection risk -Effects of mask use and multiple floors-

#Graduate School of Business Sciences, University of Tsukuba

#RQ1_2022

Future outlook for beds (Tokyo, Hokkaido, Yamagata, Osaka)

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2021

Droplet diffusion simulation and infection risk assessment in case of continuing to speak loudly at events

#RIKEN Center for Computational Science

#Kobe University

#RQ2_2022

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

#RQ1_2022

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

#RQ1_2022

Vaccination Game

#Graduate School of Business Sciences, University of Tsukuba

#RQ1_2022

Outlook for beds in the 8th Wave (Tokyo, Hokkaido, Yamagata, Osaka)#5

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Visualization model of office infection risk -Risk of close contact-

#Graduate School of Business Sciences, University of Tsukuba

#RQ1_2022

Projection of new positives after the 8th wave ~ Possibility of XBB.1.5 expansion ~

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Beware of frequent visits to places where many strangers gather

#The University of Tokyo (School of Engineering)

#RQ1_2022

Projection of new positives and deaths in the 8th wave #4

#Center of Biomedical Physics and Information Technology

#RQ1_2022

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

#RQ1_2022

Outlook for beds in the 8th Wave (Tokyo, Hokkaido, Yamagata, Osaka)#4

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Deviation between the basic scenario and actuals -2022-

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

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

#RQ1_2022

Social implementation of COVID-19 treatment strategy algorithm by CT image using machine learning

#fcuro

#RQ2_2022

Retrospective cohort study on the aftereffects of COVID-19 using medical fee statement data (2) ~About progress~

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Projection of new positives and deaths in the 8th wave #3

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Outlook for beds in the 8th Wave (Tokyo, Hokkaido, Yamagata, Osaka) #3

#The University of Tokyo (Spatial Information Science)

#RQ1_2022

Outlook for beds in the 8th Wave (Tokyo, Hokkaido, Yamagata, Osaka) #2

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

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

#RQ1_2022

Projection of new positives and deaths in the 8th wave #2

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Retrospective cohort study on the aftereffects of COVID-19 using medical fee statement data (1) ~About progress~

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Outlook for beds in the 8th Wave (Tokyo, Hokkaido, Yamagata, Osaka)

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Projection of new positives and deaths in the 8th wave

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Be careful in places where many strangers gather

#The University of Tokyo (School of Engineering)

#RQ1_2022

Marriage and Birth in the Covid-19 Pandemic

#The Tokyo Foundation for Policy Research

#RQ1_2022

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

#RQ1_2022

Outlook for beds in the 8th Wave (Tokyo, Hokkaido, Yamagata, Osaka, Okinawa)

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

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

#RQ1_2022

Possibility of continued spread of reinfection (8th wave)

#The University of Tokyo (School of Engineering)

#RQ1_2022

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)

#RQ1_2022

Convergence Factors of the 5th to 7th Waves ～In considering future measures～

#Center of Biomedical Physics and Information Technology

#RQ1_2022

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

#RQ1_2022

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

#RQ1_2022

Visualization model of household infection risk -Risk of close contact-

#Graduate School of Business Sciences, University of Tsukuba

#RQ1_2022

Possibility of spread of reinfection

#The University of Tokyo (School of Engineering)

#RQ1_2022

Evaluation of shortened quarantine period in the 7th wave

#The Tokyo Foundation for Policy Research

#RQ1_2022

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

#RQ1_2022

Vaccine distribution strategy

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Infection in a population considering hybrid immunity Time transition of preventive effect and possibility of 8th wave

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Outlook for beds in the 7th Wave (Tokyo, Osaka, Kanagawa, Okinawa) #6

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Outlook for beds in 47 prefectures #7

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

If the true infection experience is about 50%, it might have already converged? ?

#The University of Tokyo (School of Engineering)

#RQ1_2022

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

#RQ1_2022

Outlook for beds in the 7th Wave (Tokyo, Osaka, Kanagawa, Okinawa) #5

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Relationship between infection prevention effect in a group and peak timing (5th-7th waves)

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Is it desirable to maintain a lifestyle centered on interaction with “usual companions”?

#The University of Tokyo (School of Engineering)

#RQ1_2022

Analysis of nursery school closures

#The Tokyo Foundation for Policy Research

#RQ1_2022

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

#RQ1_2022

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

#RQ1_2022

International comparison of children’s vaccination status

#The Tokyo Foundation for Policy Research

#RQ1_2022

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

#RQ1_2022

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

#RQ1_2022

Outlook for beds in the 7th Wave (Tokyo, Osaka, Kanagawa, Okinawa) #4

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Socio-economic activities during the COVID-19 pandemic

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Economic Losses from the Coronavirus Crisis: An International Comparison #2

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Relationship between infection, economy, and human flow in 47 prefectures #4

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

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

#RQ1_2022

Projection of the number of positives by BA.5 #5

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Outlook for beds in 47 prefectures #6

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Outlook for beds in the 7th Wave (Tokyo, Osaka, Kanagawa, Okinawa) #3

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Projection of the number of positives by BA.5 #4

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Excess suicides due to Covid-19 #4

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Marriage and childbirth during the COVID-19 crisis

#The Tokyo Foundation for Policy Research

#RQ1_2022

Close contact measures and testing during the seventh wave

#The Tokyo Foundation for Policy Research

#RQ1_2022

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

#RQ1_2022

July 2022 Citizen’s Living Behavior Survey Result Report

#The University of Tokyo (School of Engineering)

#RQ1_2022

Estimated new positives for Omicron variant (Tokyo) #12

#Graduate School of Business Sciences, University of Tsukuba

#RQ1_2022

Outlook for beds in the 7th Wave (Tokyo, Osaka, Kanagawa, Okinawa)#2

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Stagnation of economic activity due to movement restrictions and medical pressure

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Outlook for beds in 47 prefectures #5

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Projection of the number of positives by BA.5 #3

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Before the nationwide spread of infection, attention to the “internal and external borders” in daily life

#The University of Tokyo (School of Engineering)

#RQ1_2022

Estimated new positives for Omicron variant (Tokyo) #11

#Graduate School of Business Sciences, University of Tsukuba

#RQ1_2022

Estimates of the Number of Closed Childcare Centers, etc.

#The Tokyo Foundation for Policy Research

#RQ1_2022

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

#RQ1_2022

Projection of the number of positives by BA.5 #2

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Outlook for beds in the 7th Wave (Tokyo, Osaka, Kanagawa, Okinawa)

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Options for COVID-19 Countermeasures During the 7th Wave

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Summary of empirical analysis on behavioral restrictions and information effects (fear effects)

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Excess suicides due to Covid-19 #3

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Outlook for beds in 47 prefectures #4

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Relationship between infection, economy, and human flow in 47 prefectures #3

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

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

#RQ1_2022

Projection of the number of positives by BA.5

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Is it a further outbreak nationwide by changing parameters based on BA5??

#The University of Tokyo (School of Engineering)

#RQ1_2022

Estimated new positives for Omicron variant (Tokyo) #10

#Graduate School of Business Sciences, University of Tsukuba

#RQ1_2022

Impact of BA.5 and mitigation of measures # 2 (provisional version)

#Department of Information Systems Science, Soka University

#RQ1_2022

Projection of positives and deaths from new variants #2

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Estimated new positives for Omicron variant (Tokyo) #9

#Graduate School of Business Sciences, University of Tsukuba

#RQ1_2022

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

#RQ1_2022

Outlook for beds in 47 prefectures #3

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Projection of positives and deaths from new variants

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Examination of a model considering intercity movement

#The University of Tokyo (School of Engineering)

#RQ1_2022

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

#RQ1_2022

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

#RQ1_2022

Excess suicides due to Covid-19 #2

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Outlook for beds in 47 prefectures #2

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Relationship between infection, economy, and human flow in 47 prefectures #2

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Prediction of new infections and deaths by age group #2

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Children’s Health During the COVID-19 Pandemic

#The Tokyo Foundation for Policy Research

#RQ1_2022

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

#RQ1_2022

Estimated number of newly infected persons by age group considering BA4

#Center of Biomedical Physics and Information Technology

#RQ1_2022

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)

#RQ1_2022

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

#RQ1_2022

Outlook for beds in 47 prefectures

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Economic Loss in under Covid-19: International Comparison

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Excess suicides due to Covid-19

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Relationship between infection, economy, and human flow in 47 prefectures

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

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

#RQ1_2022

Is it safe to meet usual friends?

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Estimated new positives for Omicron variant (Tokyo) #8

#Faculty of Science and Technology, Keio University

#RQ1_2022

Prediction of new infections and deaths by age group

#Center of Biomedical Physics and Information Technology

#RQ1_2022

Corona-related datasets by prefecture

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ1_2022

Policy of phase 3 initiatives

#The University of Tokyo (School of Engineering)

#RQ1_2022

Understanding and prediction of infection status based on the basic model of social atmosphere, people, and movement

#Faculty of Science and Technology, Keio University

#RQ1_2022

Estimates of new positive patients for Omicron variant (Tokyo) #7

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #26

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Updates on prediction of new infections, severe cases, etc. #5

#Center of Biomedical Physics and Information Technology

#RQ3_2021

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

#RQ3_2021

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)

#RQ3_2021

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)

#RQ3_2021

Updates on prediction of new infections, severe cases, etc. #4

#Center of Biomedical Physics and Information Technology

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #32

#Faculty of Science and Technology, Keio University

#RQ1_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #25

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

COVID-19 infection and economic outlook #13

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Children’s excessive suicide rates during COVID-19 #2

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Analysis of the number of school and class closures #2

#The Tokyo Foundation for Policy Research

#RQ3_2021

Divorce rates during COVID-19

#The Tokyo Foundation for Policy Research

#RQ3_2021

Updates on prediction of new infections, severe cases, etc. #3

#Center of Biomedical Physics and Information Technology

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #24

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Effect of Children’s Infection and Isolation on Guardians’ Employment

#The Tokyo Foundation for Policy Research

#RQ3_2021

Marriage and birth rates during COVID-19

#The Tokyo Foundation for Policy Research

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #31

#Faculty of Science and Technology, Keio University

#RQ1_2021

COVID-19 infection and economic outlook #12

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #23

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Updates on prediction of new infections, severe cases, etc. #2

#Center of Biomedical Physics and Information Technology

#RQ3_2021

COVID-19 infection and economic outlook #11

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

No need to be afraid of infection numbers – Towards post-corona era #3 – moderate sociability recommended

#The University of Tokyo (School of Engineering)

#RQ3_2021

Estimates of new positive patients for Omicron variant (Tokyo) #6

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

Analysis of the number of school and class closures

#The Tokyo Foundation for Policy Research

#RQ3_2021

Omicron Outbreak Strategy #2

#Department of Information Systems Science, Soka University

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #30

#Faculty of Science and Technology, Keio University

#RQ1_2021

Omicron Outbreak Strategy #1

#Department of Information Systems Science, Soka University

#RQ3_2021

Updates on prediction of new infections, severe cases, etc.

#Center of Biomedical Physics and Information Technology

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #22

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #29

#Faculty of Science and Technology, Keio University

#RQ1_2021

COVID-19 infection and economic outlook #10

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Estimates of the number of daycare closures

#The Tokyo Foundation for Policy Research

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #21

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Peak numbers of new infections – Examples of future forecasts in Tokyo

#Center of Biomedical Physics and Information Technology

#RQ3_2021

No need to be afraid of infection numbers – Towards post-corona era #2

#The University of Tokyo (School of Engineering)

#RQ3_2021

Estimates of new positive patients for Omicron variant (Tokyo) #5

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #28

#Faculty of Science and Technology, Keio University

#RQ1_2021

Prospects for the number of critically ill patients in Tokyo (new standard)

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Children’s excessive suicide rates during COVID-19

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Birth rates during COVID-19

#The Tokyo Foundation for Policy Research

#RQ3_2021

Marriage rates during COVID-19

#The Tokyo Foundation for Policy Research

#RQ3_2021

Rapid expansion of Omicron variants and upper limits of testing capacity

#Department of Information Systems Science, Soka University

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #27

#Faculty of Science and Technology, Keio University

#RQ1_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #20

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Analysis of the preventive effect of vaccination and the effect of emergency declaration

#Center of Biomedical Physics and Information Technology

#RQ3_2021

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

#RQ3_2021

Rapid expansion simulation of Omicron variant #2

#Department of Information Systems Science, Soka University

#RQ3_2021

Estimates of the number of new positive cases and bed utilization in January

#Center of Biomedical Physics and Information Technology

#RQ3_2021

Outlook for COVID-19 and Economic Activity – Impact of stricter hospitalization standards #9

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

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

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #26

#Faculty of Science and Technology, Keio University

#RQ1_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #19

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Visualization of the risk of household contact infection

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

Estimates of new positive patients for Omicron variant (Tokyo) #4

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

Rapid expansion simulation of Omicron variant #1

#Department of Information Systems Science, Soka University

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #18

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Estimates of new positive patients for Omicron variant(Tokyo) #3

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #25

#Faculty of Science and Technology, Keio University

#RQ1_2021

Analysis and Future Prediction of Omicron Variant Diffusion

#Center of Biomedical Physics and Information Technology

#RQ3_2021

Analysis of Omicron variant: cost of booster inoculation and contact isolation

#The Tokyo Foundation for Policy Research

#RQ3_2021

Stagnation of economic activity following the emergency declaration

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Outlook for COVID-19 and Economic Activity #8

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #24

#Faculty of Science and Technology, Keio University

#RQ1_2021

Estimates on new positive persons for Omicron variant (Tokyo) #2

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

The O variant will exceed 10,000 in early February (Tokyo)

#The University of Tokyo (School of Engineering)

#RQ3_2021

Monitoring of severity and mortality in 6th wave

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Severity rate and fatality rate in 6th wave

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

COVID-19 infection and economic outlook #7

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #17

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Analysis and forecast of COVID-19 spread from the end of 2021 to the beginning of 2022

#Center of Biomedical Physics and Information Technology

#RQ3_2021

Changes in the number of new positive cases due to the infectivity of Omicron variants

#Center of Biomedical Physics and Information Technology

#RQ3_2021

Prediction of virus droplet infection in indoor environments and countermeasures against it #9

#RIKEN Center for Computational Science

#Kobe University

#RQ2_2021

#Splash Analysis

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #16

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Omicron Variant

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

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)

#RQ3_2021

Projection of the number of new positive persons assuming the prevalence of Omicron variant

#Center of Biomedical Physics and Information Technology

#RQ3_2021

Simulation for intrusion of Omicron variant #2

#Department of Information Systems Science, Soka University

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #15

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #23

#Faculty of Science and Technology, Keio University

#RQ1_2021

Analysis of Omicron variants: vaccines and vaccine passports

#The Tokyo Foundation for Policy Research

#RQ3_2021

Estimates of new positive patients for Omicron variant(Tokyo)

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

Risk assessment of droplet and aerosol transmission during events

#RIKEN Center for Computational Science

#Kobe University

#RQ2_2021

Deviation between the basic scenario and actuals

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Projection of the number of new positive persons assuming the prevalence of Omicron variant

#Center of Biomedical Physics and Information Technology

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #14

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Five Reasons for the Decrease in the Number of Infected Persons and Findings for the Future

#The University of Tokyo (School of Engineering)

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #22

#Faculty of Science and Technology, Keio University

#RQ1_2021

Measuring Characteristics of Aerosol

#RIKEN Center for Computational Science

#RQ2_2021

Toward Higher Accuracy in Predicting the Number of New Positive Patients

#Center of Biomedical Physics and Information Technology

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #13

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #21

#Faculty of Science and Technology, Keio University

#RQ1_2021

Prevention of infection per population by the third vaccination scenario

#Center of Biomedical Physics and Information Technology

#RQ3_2021

Simulation for intrusion of Omicron variant #1

#Department of Information Systems Science, Soka University

#RQ3_2021

Prevention of infection per population by the third vaccination scenario

#Center of Biomedical Physics and Information Technology

#RQ3_2021

Economic Value of Avoiding COVID-19 Death

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Booster Vaccination planning

#The University of Tokyo (School of Engineering)

#RQ3_2021

Data analysis: Coronavirus and Long-Distance Travel

#The Tokyo Foundation for Policy Research

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #20

#Faculty of Science and Technology, Keio University

#RQ1_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #12

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Visualization model for infection risks at home

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #19

#Faculty of Science and Technology, Keio University

#RQ1_2021

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

#RQ3_2021

Impact of active domestic travels

#The Tokyo Foundation for Policy Research

#RQ3_2021

Relationship between human flow and rate of change in infection (Tokyo)

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

Suicide due to COVID-19

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Revised plan of the new Shimoda Model

#The University of Tokyo (School of Engineering)

#RQ3_2021

Spread and attenuation of COVID-19 in 3rd-5th waves

#Center of Biomedical Physics and Information Technology

#RQ3_2021

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)

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #18

#Faculty of Science and Technology, Keio University

#RQ1_2021

Factors behind the decrease in infections in Tokyo: quantitative analysis (abridged)

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Wave Flow in KeyGraph: waves are not over

#The University of Tokyo (School of Engineering)

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #17

#Faculty of Science and Technology, Keio University

#RQ1_2021

Factors behind the infection decrease in Tokyo: quantitative analysis.

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #11

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Changes in new positive cases in Jul-Sep period

#Center of Biomedical Physics and Information Technology

#RQ3_2021

Risk of being overconfident

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #10

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

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

#RQ3_2021

Outlook for COVID-19 and Economic Activity #6

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #16

#Faculty of Science and Technology, Keio University

#RQ1_2021

Increased human flow and booster inoculation – Estimating effects of vaccination rate and vaccination certificate – Tokyo case

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

Strategy Cocktail

#The University of Tokyo (School of Engineering)

#RQ3_2021

Effect of Antibody Cocktail

#The Tokyo Foundation for Policy Research

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #9

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

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

#RQ3_2021

Suicides during COVID-19 period

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #15

#Faculty of Science and Technology, Keio University

#RQ1_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #8

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

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

#RQ3_2021

“The exit should be opened by someone close to you” – Effect of weeding – “Stay with Your Community”

#The University of Tokyo (School of Engineering)

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #14

#Faculty of Science and Technology, Keio University

#RQ1_2021

Correlations between Corona Infection and Human Flow

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Outlook for COVID-19 and Economic Activity #5

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #6

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

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

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #13

#Faculty of Science and Technology, Keio University

#RQ1_2021

Optimizing Medical and Laboratory Resources Simulation #28

#Mitsubishi research Institute, Inc.

#RQ3_2021

Emergency confirmation – Booster doses should be administered promptly based on the antibody response

#The University of Tokyo (School of Engineering)

#RQ3_2021

Simulations after lifting emergency declaration #2

#The Tokyo Foundation for Policy Research

#RQ3_2021

Post-vaccination world: Long-term Outlook for COVID-19 and Economic Activity #2

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

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

#RQ3_2021

Effectiveness of emergency declarations, booster vaccinations, and vaccine passports

#The University of Tokyo (School of Engineering)

#RQ3_2021

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

#RQ3_2021

Simulations after lifting emergency declaration

#The Tokyo Foundation for Policy Research

#RQ3_2021

Lifting the Fourth Emergency Declaration and Subsequent Scenarios

#Department of Information Systems Science, Soka University

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #12

#Faculty of Science and Technology, Keio University

#RQ1_2021

Measuring Characteristics of Aerosol Interim Report

#RIKEN Center for Computational Science

#RQ2_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #5

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Strategy for Lifting the Fourth Emergency Declaration #1

#Department of Information Systems Science, Soka University

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #11

#Faculty of Science and Technology, Keio University

#RQ1_2021

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

#RQ3_2021

Suicides during COVID-19 period: Analysis by Age and Gender

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Message from the new model

#The University of Tokyo (School of Engineering)

#RQ3_2021

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

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #10

#Faculty of Science and Technology, Keio University

#RQ1_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #4

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

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

#RQ3_2021

Post-vaccination world: Long-term Outlook for COVID-19 and Economic Activity

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Estimated effects of human flow suppression and vaccination certificate Tokyo model

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

Optimizing Medical and Laboratory Resources Simulation #27

#Mitsubishi research Institute, Inc.

#RQ3_2021

Analysis on Tel Aviv’s Case in Israel

#Center of Biomedical Physics and Information Technology

#RQ3_2021

Relaxing behavioral restrictions following the spread of vaccination

#The Tokyo Foundation for Policy Research

#RQ3_2021

Progress on MultiLayer-MultiAgent model

#The University of Tokyo (School of Engineering)

#RQ3_2021

Mid/Long-term Outlook for COVID-19 and Economic Activity #3

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #3

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #9

#Faculty of Science and Technology, Keio University

#RQ1_2021

Infection and economic impact of lockdown

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Mid/Long-term Outlook for COVID-19 and Economic Activity #2

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #8

#Faculty of Science and Technology, Keio University

#RQ1_2021

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)

#RQ3_2021

Estimated effects of human flow suppression

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

Optimizing Medical and Laboratory Resources Simulation #26

#Mitsubishi research Institute, Inc.

#RQ3_2021

Infection control under the delta variant Part 5

#Department of Information Systems Science, Soka University

#RQ3_2021

System Development for Predicting the Number of Infected Persons and Serious Injuries Considering Human Flow and Seasonality

#Center of Biomedical Physics and Information Technology

#RQ3_2021

Mid/Long-term Outlook for COVID-19 and Economic Activity

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

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

#RQ2_2021

#Splash Analysis

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

#RQ2_2021

#Splash Analysis

Interim Report

#RIKEN Center for Computational Science

#RQ2_2021

Measuring Characteristics of Aerosol Interim Report

#RIKEN Center for Computational Science

#RQ2_2021

Infection control under the delta variant Part 4

#Department of Information Systems Science, Soka University

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #7

#Faculty of Science and Technology, Keio University

#RQ1_2021

Outlook for COVID-19 and Economic Activity #4

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Suicides during and after COVID-19 period #2

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Message from the new model – 1) Flexible and Strong SWTC; 2) Additional vaccination availability; 3) Choose connections

#The University of Tokyo (School of Engineering)

#RQ3_2021

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

#RQ3_2021

Outlook for COVID-19 and Economic Activity #3

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

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

#RQ3_2021

Effect of declining vaccine efficacy

#The University of Tokyo (School of Engineering)

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #6

#Faculty of Science and Technology, Keio University

#RQ1_2021

Infection control under the delta variant Part 3

#Department of Information Systems Science, Soka University

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #2

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Introducing MultiLayer-MultiAgent model and its progress

#The University of Tokyo (School of Engineering)

#RQ3_2021

Outlook for COVID-19 and Economic Activity #2

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

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

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #5

#Faculty of Science and Technology, Keio University

#RQ1_2021

Infection control under the delta variant Part 1

#Department of Information Systems Science, Soka University

#RQ3_2021

Prediction of virus droplet infection in indoor environments and countermeasures against it #8

#RIKEN Center for Computational Science

#Kobe University

#RQ2_2021

#Splash Analysis

Prediction of virus droplet infection in indoor environments and countermeasures against it #7

#RIKEN Center for Computational Science

#Kobe University

#RQ2_2021

#Splash Analysis

From vaccination planning to life context networks

#The University of Tokyo (School of Engineering)

#RQ3_2021

Effectiveness of July 12th Emergency Declaration and Accelerated Vaccination Scenario Analysis

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #4

#Faculty of Science and Technology, Keio University

#RQ1_2021

Suicides during and after COVID-19 period

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Outlook for COVID-19 and Economic Activity

#Graduate School of Economics, Faculty of Economics, The University of Tokyo

#RQ3_2021

Relationship between user behaviors and number of COVID-19 positives interpreted from Twitter data #1

#Institute of Industrial Science, the University of Tokyo

#RQ1_2021

Impact of Delta Variant #2

#Department of Information Systems Science, Soka University

#RQ3_2021

#Vaccination Strategy

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #3

#Faculty of Science and Technology, Keio University

#RQ1_2021

Prediction of viral droplet infection in indoor environment and its countermeasures #6

#RIKEN Center for Computational Science

#Kobe University

#RQ2_2021

#Splash Analysis

Impact of Delta Variant #1

#Department of Information Systems Science, Soka University

#RQ3_2021

#Vaccination Strategy

Vaccination Planning (Additional Analysis Report) “Natural and Rapid Vaccine Dissemination” for both infection control and Olympic

#The University of Tokyo (School of Engineering)

#RQ3_2021

#Countermeasures Simulation

#Vaccination Strategy

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

#RQ3_2021

Optimizing Medical and Laboratory Resources Simulation #23

#Mitsubishi research Institute, Inc.

#RQ3_2021

A strategy for lifting the third declaration of the state of emergency

#Department of Information Systems Science, Soka University

#RQ3_2021

#Vaccination Strategy

Simulation for Optimizing Medical and Laboratory Resources #22 – Olympic and Paralympic Response and Vaccination Effectiveness in Tokyo

#Mitsubishi research Institute, Inc.

#RQ3_2021

#Resource Optimization

Infection estimates for Olympic and Delta Variant

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

#Vaccination Strategy

Vaccination planning (revise (2)) “Natural and rapid vaccine dissemination” for both infection control and Olympic mainstay

#The University of Tokyo (School of Engineering)

#RQ3_2021

#Vaccination Strategy

Impact of non-vaccinated clusters #1

#Department of Information Systems Science, Soka University

#RQ3_2021

Vaccination planning (2) Naturally and quickly

#The University of Tokyo (School of Engineering)

#RQ3_2021

#Vaccination Strategy

Estimated Effectiveness of Priority Vaccination by Age Group

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

#Vaccination Strategy

Correlation between movement pattern classification using movement trajectory data and infection spread

#RQ4_2020

Simulation for Optimizing Medical and Laboratory Resources #16 – Effectiveness of Priority Measures to Prevent the Spread of Disease

#Mitsubishi research Institute, Inc.

#RQ3_2021

#Infection Prevention Measures

#Resource Optimization

Simulation results on priority order of vaccination #5

#Department of Information Systems Science, Soka University

#RQ3_2021

#Vaccination Strategy

Correlation Analysis between Travel Pattern Classification and Effective Reproduction Number by Time-Based Regional Mesh Visit Analysis Based on Mobile GPS Data

#AIST

#RQ4_2020

Vaccination Planning As an application of Stay with Your Community #2

#The University of Tokyo (School of Engineering)

#RQ3_2021

#Vaccination Strategy

Simulation of Medical and Laboratory Resource Optimization Vaccination Effectiveness Study #4

#Mitsubishi research Institute, Inc.

#RQ3_2021

#Resource Optimization

#Vaccination Strategy

Simulation results on priority order of vaccination #4

#Department of Information Systems Science, Soka University

#RQ3_2021

#Vaccination Strategy

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

#RQ3_2021

#Vaccination Strategy

Estimating the Effectiveness of Vaccinations and Circuit Breakers: Tokyo’s Forecast of Infected People

#Graduate School of Business Sciences, University of Tsukuba

#RQ3_2021

#Vaccination Strategy

Vaccination Planning As an application of Stay with Your Community

#The University of Tokyo (School of Engineering)

#RQ3_2021

#Vaccination Strategy

Simulation of Medical and Laboratory Resource Optimization Vaccination Effectiveness Study #3

#Mitsubishi research Institute, Inc.

#RQ3_2021

#Resource Optimization

#Vaccination Strategy

Simulation results on priority order of vaccination #3

#Department of Information Systems Science, Soka University

#RQ3_2021

#Vaccination Strategy

Optimizing Medical and Laboratory Resources Simulation #15

#Mitsubishi research Institute, Inc.

#RQ3_2021

#Resource Optimization

Simulation results on priority order of vaccination #2

#Department of Information Systems Science, Soka University

#RQ3_2021

#Vaccination Strategy

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

#RQ3_2021

#Vaccination Strategy

Simulation of Medical and Laboratory Resource Optimization Vaccination Effectiveness Study #2

#Mitsubishi research Institute, Inc.

#RQ3_2021

#Resource Optimization

#Vaccination Strategy

Optimizing Medical and Laboratory Resources Simulation #14

#Mitsubishi research Institute, Inc.

#RQ3_2021

#Resource Optimization

Estimating the Effectiveness of Vaccination with COVID-19 Mutant Vaccine Predicting Infected People in Tokyo

#Graduate School of Business Sciences, University of Tsukuba

#RQ4_2020

#Vaccination Strategy

Simulation results on priority order of vaccination

#Department of Information Systems Science, Soka University

#RQ3_2021

#Vaccination Strategy

Analysis of the spread of infection based on human behavioral patterns and small-world infection networks

#Faculty of Science and Technology, Keio University

#RQ1_2021

#Infection Spread Model

Optimizing Medical and Laboratory Resources Simulation #13

#Mitsubishi research Institute, Inc.

#RQ3_2021

#Resource Optimization

Phasing out self-restraint and vaccination strategies: Application of Stay with Your Community

#The University of Tokyo (School of Engineering)

#RQ3_2021

#Vaccination Strategy

Final Summary Report< Breath Omics for the COVID-19: Virus Detection and AI Diagnosis >

#Tohoku University Graduate School of Medicine

#RQ3_2020

#Inspection And Measurement Methods

Multiagent model simulation : Prevention of infection in tourist destinations #2

#Graduate School of Business Sciences, University of Tsukuba

#RQ4_2020

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

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data #2

#Faculty of Science and Technology, Keio University

#RQ1_2021

Establishment of systematic test measurement method

#Tohoku University Graduate School of Medicine

#RQ3_2020

#Inspection And Measurement Methods

Human mobility analysis and visualization of economic impact of Covid 19 pandemic #2

#The University of Tokyo (Spatial Information Science)

#Mitsubishi research Institute, Inc.

#RQ4_2020

#Economic Impact

The economic effect of the restriction by Japanese government under COVID-19

#University of Hyogo

#RQ4_2020

#Economic Impact

Analysis of the Spread of COVID-19: Multiagent-based Simulation by Using Human Mobility Data

#AIST

#RQ2_2020

#Infection Simulation

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

#RQ1_2020

#Splash Analysis

Human mobility analysis and visualization of economic impact of Covid 19 pandemic

#The University of Tokyo (Spatial Information Science)

#Mitsubishi research Institute, Inc.

#RQ4_2020

#Economic Impact

Factorization Analysis of ransportation Data

#AIST

#RQ4_2020

#Movement Information Analysis

Agent-based simulation of COVID-19 infection cluster and its suppression with contact-trace application

#RIKEN Center for Computational Science

#RQ4_2020

#Infection Simulation

Face mask wearing detection and crowd monitoring by video analytics AI #3

#NEC

#RQ2_2020

#Video Analysis Ai

Monitoring carbon dioxide concentration in a room as an indicator of ventilation

#AIST

#RQ2_2020

#Indoor CO2 Concentration

Multiagent model simulation : Prevention of infection in the downtown area

#Graduate School of Business Sciences, University of Tsukuba

#RQ4_2020

#Agent Simulation

#Infection Prevention Measures

Prediction and Countermeasures for Infection by Virus Contaminated Droplet in Indoor Environment #4

#Kobe University

#RIKEN Center for Computational Science

#RQ1_2020

#Splash Analysis

Simulation for optimizing medical and testing resources #2

#Mitsubishi research Institute, Inc.

#RQ3_2020

#Resource Optimization

Infection Simulation based on Proposed Human Behavior Models derived from SNS and Press Data

#Faculty of Science and Technology, Keio University

#RQ4_2020

#Infection Simulation

Face mask wearing detection and crowd monitoring by video analytics AI #2

#NEC

#RQ2_2020

#Video Analysis Ai

Development of Systematic Measurement Methods for Reducing False Negative

#Tohoku University Graduate School of Medicine

#RQ3_2020

#Inspection And Measurement Methods

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

#RQ5_2020

#Inspection And Measurement Methods

Early detection of infection Visualization of the 3D structure of spike protein

#RIKEN Center for Computational Science

#RQ5_2020

#Inspection And Measurement Methods

Multiagent model simulation: Effects of people’s gatherings, Effects of contact tracing, Effects of random tests

#Department of Information Systems Science, Soka University

#RQ4_2020

#Infection Simulation

Effects of mobility restrictions (long distance travel)

#Department of Information Systems Science, Soka University

#RQ4_2020

#Infection Simulation

Multiagent model simulation : Prevention of infection in the downtown area

#Graduate School of Business Sciences, University of Tsukuba

#RQ4_2020

#Agent Simulation

Multiagent model simulation : Investigation of self-restraint measures #2

#The University of Tokyo (School of Engineering)

#RQ4_2020

#Infection Simulation

Prediction and Countermeasures for Infection by Virus Contaminated Droplet in Indoor Environment #3

#Kobe University

#RIKEN Center for Computational Science

#RQ1_2020

#Splash Analysis

Multiagent model simulation : Measures to prevent infection in tourist destinations #1

#Graduate School of Business Sciences, University of Tsukuba

#RQ4_2020

#Agent Simulation

#Infection Prevention Measures

Simulation for optimizing medical and testing resources

#Mitsubishi research Institute, Inc.

#RQ3_2020

#Resource Optimization

Face mask wearing detection and crowd monitoring by video analytics AI

#NEC

#RQ3_2020

#Video Analysis Ai

Prediction and Countermeasures for Infection by Virus Contaminated Droplet in Indoor Environment #2

#Kobe University

#RIKEN Center for Computational Science

#RQ1_2020

#Splash Analysis

Prediction and Countermeasures for Infection by Virus Contaminated Droplet in Indoor Environment

#Kobe University

#RIKEN Center for Computational Science

#RQ1_2020