Ontology highlight
ABSTRACT:
SUBMITTER: Koizumi M
PROVIDER: S-EPMC8755968 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
Koizumi Makoto M Utamura Motoaki M Kirikami Seiichi S
AIMS public health 20211105 1
ATLM (Apparent Time Lag Model) was extended to simulate the spread of infection in a mixed state of the variant virus and original wild type. It is applied to the 4th wave of infection spread in Tokyo, and (1) the 4th wave bottoms out near the end of the state of emergency, and the number of infected people increases again. (2) The rate of increase will be mainly by d strain (L452R) virus, while the increase by a strain (N501Y) virus will be suppressed. (3) It is anticipated that the infection w ...[more]