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

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.

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Publication Details

Journal
Frontiers in Public Health
Published
2024-08-19
DOI
https://doi.org/10.3389/fpubh.2024.1442728
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Ling‐Ping Cen, Ya Xing Wang, David Chien Lye, Gang Zhao et al.
Frontiers in Public Health
COVID-19 epidemiological studies
article

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

Ling‐Ping Cen, Ya Xing Wang, David Chien Lye, Gang Zhao, Dongning Hao, Yequn Chen, Jiancheng Yang, Tien Yin Wong, Shiqi Yao, Shaoying Tan, Fangfang Zhao, Zhifeng Hao, Jie Ji, Yun Wang, Qian Wang, He Yang, Lifang Liu, Mengyu Liu, Jiajian Liang, Lan Chen, Jianwei Lin, Long-Xu Xie, Wanting Tang, Hongjiang He, Zhaoxiong Wu, Dan Zhang, Youxin Gu, Xin-sheng Yu, Jingyun Cen, Yi Liu, Meng Wang
article en

Abstract

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.

Frontiers in Public HealthVol. 12
Beijing Tongren Hospital (CN), Hong Kong Polytechnic University (HK), Queensland University of Technology (AU), National University of Singapore (SG), Nanyang Technological University (SG), Chinese University of Hong Kong (HK), Capital Medical University (CN), Singapore National Eye Center (SG), Tan Tock Seng Hospital (SG), Shaoguan University (CN), Shantou University (CN), Second Affiliated Hospital of Zhengzhou University (CN), First Affiliated Hospital of Shantou University Medical College (CN), Singapore Eye Research Institute (SG), Shantou University Medical College (CN), Shantou Central Hospital (CN), National Centre for Infectious Diseases (SG), Yulin University (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province
Good health and well-being
Openalex Percentile: Top 85%
COVID-19 epidemiological studies
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