Multi-dimensional epidemiology and informatics data on COVID-19 wave at the end of zero COVID policy in China.

ABSTRACT:

Background

China exited strict Zero-COVID policy with a surge in Omicron variant infections in December 2022. Given China's pandemic policy and population immunity, employing Baidu Index (BDI) to analyze the evolving disease landscape and estimate the nationwide pneumonia hospitalizations in the post Zero COVID period, validated by hospital data, holds informative potential for future outbreaks.

Methods

Retrospective observational analyses were conducted at the conclusion of the Zero-COVID policy, integrating internet search data alongside offline records. Methodologies employed were multidimensional, encompassing lagged Spearman correlation analysis, growth rate assessments, independent sample T-tests, Granger causality examinations, and Bayesian structural time series (BST

SUBMITTER: Yu XS 

PROVIDER: S-EPMC11366567 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature