2 papers
cs.CE2021
Digital transformation of droplet/aerosol infection risk assessment realized on "Fugaku" for the fight against COVID-19
Kazuto Ando, Rahul Bale, ChungGang Li +3
The fastest supercomputer in 2020, Fugaku, has not only achieved digital transformation of epidemiology in allowing end-to-end, detailed quantitative modeling of COVID-19 transmiss…
q-bio.QM2021
Quantifying the COVID19 infection risk due to droplet/aerosol inhalation
Rahul Bale, Akiyoshi Iida, Masashi Yamakawa +2
The dose-response model has been widely used for quantifying the risk of infection of airborne diseases like COVID-19. The model has been used in the room-average analysis of infec…