Infection rate models for COVID-19: Model risk and public health news sentiment exposure adjustments.

ABSTRACT: During the COVID-19 pandemic, governments globally had to impose severe contact restriction measures and social mobility limitations in order to limit the exposure of the population to COVID-19. These public health policy decisions were informed by statistical models for infection rates in national populations. In this work, we are interested in modelling the temporal evolution of national-level infection counts for the United Kingdom (UK-Wales, England, Scotland), Germany (GM), Italy (IT), Spain (SP), Japan (JP), Australia (AU) and the United States (US). We model the national-level infection counts for the period January 2020 to January 2021, thus covering both the pre- and post-vaccine roll-out periods, in order to better understand the most reliable model structure for the COVID-19 epi

SUBMITTER: Chalkiadakis I 

PROVIDER: S-EPMC8238235 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature