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

・Both vaccine passports and the antibody cocktail were effective
・Positive administration of antibody cocktails and medication from December was effective
・Positive introduction of policies similar to vaccine passports
・Signs of a brake on increases in flows of people (Japanese morals)
・Toreta data will also start being posted
　・Comparison with the same week of 2019 (Monday-Sunday)
　・The subject restaurants are 10,000 where Toreta was introduced before January 2019
　・Infections spread momentarily with the lifting of the declaration of a state of emergency, but have currently subsided
　　 (The same trend as flows of people)

・The final vaccination rate for the first and second doses was set to 80%
　(Final vaccination rate for each generation: “- 14” 0%, “15 - 39” 80%, “40 - 64” 80%, “65 -” 95%)
・Third vaccination doses started in December at 90% the pace of second doses
・Vaccine passports began in November, restricting the behavior of people who have not had a second dose
　With regard to effects, simulations was implemented with three scenarios setting self-restraint to 0%, 20% and 30%
・Antibody cocktails administered from December so that the number of new patients with severe illness is kept to ten people a day
　Effect in preventing increased severity of illness set to 80% for patients administered antibody cocktails
・The rates of increased severity of illness are calculated as shown in the table on the right

Kabukicho, Tokyo (Number of people in the area by time axis)

Shibuya Center Gai, Tokyo (Number of people in the area by time axis)

Ikebukuro, Tokyo (Number of people in the area by time axis)

Harajuku, Tokyo (Number of people in the area by time axis)

Ueno Ameyoko, Tokyo (Number of people in the area by time axis)

South side of Shinagawa Station, Tokyo (Number of people in the area by time axis)

Tokyo Station, Tokyo (Number of people in the area by time axis)

Odaiba/Tokyo Teleport, Tokyo (Number of people in the area by time axis)

Yokohama Station, Kanagawa (Number of people in the area by time axis)

Kawasaki Station, Kanagawa (Number of people in the area by time axis)

Hiyoshi Station, Kanagawa (Number of people in the area by time axis)

Kitashinchi, Osaka (Number of people in the area by time axis)

Kawaramachi, Kyoto (Number of people in the area by time axis)

Nakasu Kawabata, Fukuoka (Number of people in the area by time axis)

Susukino Station, Hokkaido (Number of people in the area by time axis)

Aggregation Definition

•Comparison with the same week (Monday-Sunday) of 2019
•The subject restaurants are 10,000 where Toreta was introduced before January 2019
•Because there was a typhoon on the weekend of Week 41 (second week of October) in 2019 in the Kanto region, the results may be a little high.

National average

*Periods of the declaration of a state of emergency or pre-emergency measures in Tokyo

By number of customers

*Periods of the declaration of a state of emergency or pre-emergency measures in Tokyo

By time

*Periods of the declaration of a state of emergency or pre-emergency measures in Tokyo

By timing of reservation

*Periods of the declaration of a state of emergency or pre-emergency measures in Tokyo

By restaurant size

*Periods of the declaration of a state of emergency or pre-emergency measures in Tokyo

By frequency of visits

*Periods of the declaration of a state of emergency or pre-emergency measures in Tokyo

Hokkaido

*Periods of the declaration of a state of emergency or pre-emergency measures in Hokkaido

Tohoku

*Periods of the declaration of a state of emergency or pre-emergency measures in Miyagi Prefecture

Kanto

*Periods of the declaration of a state of emergency or pre-emergency measures in Tokyo

Hokuriku

*Periods of the declaration of a state of emergency or pre-emergency measures in Ishikawa Prefecture

Tokai

*Periods of the declaration of a state of emergency or pre-emergency measures in Aichi Prefecture

Kinki

*Periods of the declaration of a state of emergency or pre-emergency measures in Osaka Prefecture

Chugoku

*Periods of the declaration of a state of emergency or pre-emergency measures in Hiroshima Prefecture

Shikoku

*Periods of the declaration of a state of emergency or pre-emergency measures in Ehime Prefecture

Kyushu/Okinawa

*Periods of the declaration of a state of emergency or pre-emergency measures in Fukuoka Prefecture