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

Autor:	Yu XS; Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China.; Shantou University Medical College, Shantou, China., Tan S; School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China., Tang W; Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China.; Shantou University Medical College, Shantou, China., Zhao FF; Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China., Ji J; Network & Information Centre, Shantou University, Shantou, China., Lin J; Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China., He HJ; Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China.; Shantou University Medical College, Shantou, China., Gu Y; Queensland University of Technology, Brisbane, QLD, Australia., Liang JJ; Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China., Wang M; Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China.; Shantou University Medical College, Shantou, China., Chen Y; The First Affiliated Hospital of Shantou University Medical College, Shantou, China., Yang J; Shantou Healthcare Security Administration Center, Shantou, China., Xie L; Hybribio Medical Laboratory Group Ltd., Chaozhou, China.; Human Papillomavirus Molecular Diagnostic Engineering Technology Research Centre, Chaozhou, China., Wang Q; Yulin First Hospital, Yulin, China., Liu M; Shantou University Medical College, Shantou, China.; Hybribio Medical Laboratory Group Ltd., Chaozhou, China., He Y; Hybribio Medical Laboratory Group Ltd., Chaozhou, China., Chen L; Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China., Wang YX; Beijing Ophthalmology and Visual Sciences Key Laboratory, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing, China., Wu Z; Jinping District People's Hospital of Shantou, Shantou, China., Zhao G; Zhengzhou Second Hospital, Henan, China., Liu Y; Zhengzhou Second Hospital, Henan, China., Wang Y; Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China., Hao D; Yulin First Hospital, Yulin, China., Cen J; Shaoguan University Medical College, Shaoguan, China., Yao SQ; Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China.; Shantou University Medical College, Shantou, China., Zhang D; Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China.; Shantou University Medical College, Shantou, China., Liu L; Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China.; Shantou University Medical College, Shantou, China., Lye DC; National Centre for Infectious Diseases, Singapore, Singapore.; Tan Tock Seng Hospital, Singapore, Singapore.; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore., Hao Z; College of Mathematics and Computer Science, Shantou University, Shantou, China., Wong TY; Tsinghua Medicine, Tsinghua University, Beijing, China.; Singapore Eye Research Institute, Singapore National Eye Center, Singapore, Singapore., Cen LP; Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China.; Shantou University Medical College, Shantou, China.
Jazyk:	angličtina
Zdroj:	Frontiers in public health [Front Public Health] 2024 Aug 19; Vol. 12, pp. 1442728. Date of Electronic Publication: 2024 Aug 19 (Print Publication: 2024).
DOI:	10.3389/fpubh.2024.1442728
Abstrakt:	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 (BSTS) models for comprehensive data scrutiny. Results: Various diseases exhibited a notable upsurge in the BDI after the policy change, consistent with the broader trajectory of the COVID-19 pandemic. Robust connections emerged between COVID-19 and diverse health conditions, predominantly impacting the respiratory, circulatory, ophthalmological, and neurological domains. Notably, 34 diseases displayed a relatively high correlation (r > 0.5) with COVID-19. Among these, 12 exhibited a growth rate exceeding 50% post-policy transition, with myocarditis escalating by 1,708% and pneumonia by 1,332%. In these 34 diseases, causal relationships have been confirmed for 23 of them, while 28 garnered validation from hospital-based evidence. Notably, 19 diseases obtained concurrent validation from both Granger causality and hospital-based data. Finally, the BSTS models approximated approximately 4,332,655 inpatients diagnosed with pneumonia nationwide during the 2 months subsequent to the policy relaxation. Conclusion: This investigation elucidated substantial associations between COVID-19 and respiratory, circulatory, ophthalmological, and neurological disorders. The outcomes from comprehensive multi-dimensional cross-over studies notably augmented the robustness of our comprehension of COVID-19's disease spectrum, advocating for the prospective utility of internet-derived data. Our research highlights the potential of Internet behavior in predicting pandemic-related syndromes, emphasizing its importance for public health strategies, resource allocation, and preparedness for future outbreaks. Competing Interests: LX, ML, and YH were employed by Hybribio Medical Laboratory Group Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2024 Yu, Tan, Tang, Zhao, Ji, Lin, He, Gu, Liang, Wang, Chen, Yang, Xie, Wang, Liu, He, Chen, Wang, Wu, Zhao, Liu, Wang, Hao, Cen, Yao, Zhang, Liu, Lye, Hao, Wong and Cen.)
Databáze:	MEDLINE
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