A high-frequency mobility big-data reveals how COVID-19 spread across professions, locations and age groups.

ABSTRACT: As infected and vaccinated population increases, some countries decided not to impose non-pharmaceutical intervention measures anymore and to coexist with COVID-19. However, we do not have a comprehensive understanding of its consequence, especially for China where most population has not been infected and most Omicron transmissions are silent. This paper aims to reveal the complete silent transmission dynamics of COVID-19 by agent-based simulations overlaying a big data of more than 0.7 million real individual mobility tracks without any intervention measures throughout a week in a Chinese city, with an extent of completeness and realism not attained in existing studies. Together with the empirically inferred transmission rate of COVID-19, we find surprisingly that with only 70 citizens t

SUBMITTER: Zhao C 

PROVIDER: S-EPMC10168568 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature