biostudies-literatureUnknown12Yu XS<h4>Background</h4>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.<h4>Methods</h4>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 (BSTFrontiers in public health1442728https://www.ebi.ac.uk/biostudies/studies/S-EPMC11366567biostudies-literatureMulti-dimensional epidemiology and informatics data on COVID-19 wave at the end of zero COVID policy in China.PMC11366567He HJLye DCZhang DYu XSLiu LLiu MCen JWang MWu ZLiu YWang QHao ZZhao FFZhao GChen YTang WWang YYang JGu YChen LLiang JJXie LJi JCen LPWong TYHe YTan SLin JWang YXHao DYao SQfalseMulti-dimensional epidemiology and informatics data on COVID-19 wave at the end of zero COVID policy in China.<h4>Background</h4>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.<h4>Methods</h4>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 (BST2024-01-01T00:00:00Z20242026-05-02T03:39:32.478Z2025-04-05T12:31:24.934ZS-EPMC113665673922455410.3389/fpubh.2024.1442728