Research Results

FY2022 Results Report

This is a summary of the research conducted over the past three years since the emergence of the novel coronavirus. We are going to show you how scientific research has been conducted to stop the spread of infection caused by the previously unknown novel coronavirus and to aid in restoring in people’s daily lives.

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Simulator for infection risk

We present visual representations of droplet/aerosol infection risk based on the simulations conducted using a supercomputer “Fugaku”.

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About Project

This research project aims to balance the prevention measures against infection of novel coronavirus (Covid-19) with economic activities.

We have been working on data collection, analysis, and simulations utilizing AI to detect infection trends in the early stage. Additionally, we have been developing new technologies for infection prevention measures and conducting tests to implement these findings into society.

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FY2023 Research Question

Research Question 01

Analysis and simulation for infection situation

将来の感染状況や、感染拡大が医療や経済に与える影響をシミュレーションや統計分析手法等を用いて明らかにし、政策決定・個々の意思決定に資する情報を提供すること

Research Question 02

Proper infection control in With Corona

Withコロナに資する感染対策の検証や、過去に実施した施策等が社会経済活動に与えた効果等を検証すること