Results 31 to 40 of about 6,240,094 (179)

Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study

open access: yesJournal of Medical Internet Research
BackgroundMumps is a viral respiratory disease characterized by facial swelling and transmitted through respiratory secretions. Despite the availability of an effective vaccine, mumps outbreaks have reemerged globally, including ...
Xin Xiong   +4 more
doaj   +2 more sources

Influenza-Like Illness Forecasting Using Multisource Data: Comparative Deep Learning Study [PDF]

open access: yesJMIR Medical Informatics
BackgroundAccurate forecasting of influenza-like illness (ILI) is crucial for public health. Integrating novel digital data streams (eg, internet searches and human mobility) with traditional surveillance can improve accuracy, but optimal modeling ...
Caixia Dang   +9 more
doaj   +2 more sources

An Empirical Analysis and Forecast Study Between the Baidu Index Based on the Amount of Web Search and Trading Volume on the Platform of P2P [PDF]

open access: yesScience Innovation, 2017
There is a positive correlation between Baidu index based on the amount of web search and trading volume on the platform of P2P. In this paper, there are 184 daily data between July 1, 2016 to December 31, 2016 as sample data. I constract two regression modles, one includes Baidu index and the other is included with lagged Baidu index to predict ...
exaly   +2 more sources

Analyzing potential tourist behavior using PCA and modified affinity propagation clustering based on Baidu index: taking Beijing city as an example

open access: yesData Science and Management, 2021
In recent years, when planning and determining a travel destination, residents often make the best of Internet techniques to access extensive travel information.
Lin Wang, Sirui Wang, Zhe Yuan, Lu Peng
doaj   +3 more sources

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

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

Study on public attention to vocational training in Mainland China based on Baidu index during the COVID-19 pandemic

open access: yesDiscover Sustainability
Background and purpose The outbreak of COVID-19 has profoundly impacted various sectors globally, including vocational training. Baidu, being the most widely used search engine in China, offers Baidu Index, one of the most critical statistical analysis ...
Kuihua Li   +5 more
doaj   +2 more sources

A Deep Learning Framework for Using Search Engine Data to Predict Influenza-Like Illness and Distinguish Epidemic and Nonepidemic Seasons: Multifeature Time Series Analysis [PDF]

open access: yesJournal of Medical Internet Research
BackgroundThe seasonal influenza epidemic poses a persistent and severe threat to global public health. Web-based search data are recognized as a valuable source for forecasting influenza or other respiratory tract infection epidemics.
Ji Li   +12 more
doaj   +2 more sources

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

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   +1 more source

Pandemic-Associated Shifts and Spatial Inequality in Public Attention to Pulmonary Function Testing in China: A 14-Year Baidu Index Study. [PDF]

open access: yesHealthcare (Basel)
Background/Objectives: Pulmonary function tests (PFTs), especially spirometry, are important for chronic respiratory disease diagnosis and management, but Baidu-based online search interest in PFT-related information remains insufficiently characterized.
Chen C, Ma D, Jing T.
europepmc   +2 more sources

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