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Asthma prevalence based on the Baidu index and China's Health Statistical Yearbook from 2011 to 2020 in China [PDF]

open access: yesFrontiers in Public Health, 2023
BackgroundDue to environmental pollution, changes in lifestyle, and advancements in diagnostic technology, the prevalence of asthma has been increasing over the years.
Yahui Li   +9 more
doaj   +4 more sources

Baidu Index and COVID-19 Epidemic Forecast: Evidence From China [PDF]

open access: yesFrontiers in Public Health, 2021
With the global spread of the Coronavirus epidemic, search engine data can be a practical tool for decision-makers to understand the epidemic's trends. This article uses trend analysis data from the Baidu search engine, the most widely used in China, to ...
Jianchun Fang   +5 more
doaj   +4 more sources

Using the Baidu index to understand Chinese interest in thyroid related diseases [PDF]

open access: yesScientific Reports, 2022
Common thyroid diseases are hyperthyroidism, hypothyroidism, thyroiditis, thyroid tumor and so on. Baidu is currently the most widely used online search tool in China, has developed an internet search trends collection and analysis tool called the Baidu ...
Qian Hu   +4 more
doaj   +2 more sources

Can the Baidu Index predict realized volatility in the Chinese stock market?

open access: yesFinancial Innovation, 2021
This paper incorporates the Baidu Index into various heterogeneous autoregressive type time series models and shows that the Baidu Index is a superior predictor of realized volatility in the SSE 50 Index.
Wei Zhang, Kai Yan, Dehua Shen
doaj   +2 more sources

Using Baidu search values to monitor and predict the confirmed cases of COVID-19 in China: – evidence from Baidu index [PDF]

open access: yesBMC Infectious Diseases, 2021
Background New coronavirus disease 2019 (COVID-19) has posed a severe threat to human life and caused a global pandemic. The current research aimed to explore whether the search-engine query patterns could serve as a potential tool for monitoring the ...
Bizhi Tu, Laifu Wei, Yaya Jia, Jun Qian
doaj   +3 more sources

Influenza surveillance with Baidu index and attention-based long short-term memory model. [PDF]

open access: yesPLoS ONE, 2023
BackgroundThe prediction and prevention of influenza is a public health issue of great concern, and the study of timely acquisition of influenza transmission trend has become an important research topic.
Shangfang Dai, Litao Han
doaj   +2 more sources

Deep learning models for hepatitis E incidence prediction leveraging Baidu index [PDF]

open access: yesBMC Public Health
Background Infectious diseases are major medical and social challenges of the 21 st century. Accurately predicting incidence is of great significance for public health organizations to prevent the spread of diseases.
Yanhui Guo   +5 more
doaj   +2 more sources

Online Public Attention During the Early Days of the COVID-19 Pandemic: Infoveillance Study Based on Baidu Index [PDF]

open access: yesJMIR Public Health and Surveillance, 2020
BackgroundThe COVID-19 pandemic has become a global public health event, attracting worldwide attention. As a tool to monitor public awareness, internet search engines have been widely used in public health emergencies.
Gong, Xue   +3 more
doaj   +2 more sources

Public attention to cardiac arrest in China: A Baidu Index analysis of online search trends and hotspot events [PDF]

open access: yesDigital Health
Objective To analyze trends in public attention to cardiac arrest-related information in mainland China using the Baidu Index. Methods This study retrieved Baidu Index data for the search keywords “cardiac arrest,” “myocardial infarction,” “cerebral ...
Kang Zheng   +7 more
doaj   +2 more sources

Multisource Early Warning Framework Integrating Regional Pathogen Surveillance and Baidu Index Data for Respiratory Infectious Disease Prediction in Beijing: Retrospective Time-Series Modeling Study [PDF]

open access: yesJMIR Formative Research
BackgroundRespiratory infectious disease surveillance increasingly requires timely integration of routine case reporting, laboratory pathogen surveillance, and digital behavioral signals.
Yang Liu   +5 more
doaj   +2 more sources

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