Results 11 to 20 of about 6,240,094 (179)

Dengue Baidu Search Index data can improve the prediction of local dengue epidemic: A case study in Guangzhou, China. [PDF]

PLoS Negl Trop Dis, 2017
Dengue fever (DF) in Guangzhou, Guangdong province in China is an important public health issue. The problem was highlighted in 2014 by a large, unprecedented outbreak. In order to respond in a more timely manner and hence better control such potential outbreaks in the future, this study develops an early warning model that integrates internet-based ...
Li Z, Liu T, Zhu G, Lin H, Zhang Y, He J, Deng A, Peng Z, Xiao J, Rutherford S, Xie R, Zeng W, Li X, Ma W.   +13 more
europepmc   +9 more sources

LSTCNet: timely prediction of influenza in China using Baidu index and LSTM-TCN hybrid network [PDF]

BMC Public Health
Background Seasonal influenza poses a significant public health burden, particularly in China, where regional outbreaks vary widely and timely surveillance is constrained by reporting delays.
Wei He, Xuanfeng Li, Haining He, Yiping Li, Ning Sun, Chitin Hon   +5 more
doaj   +3 more sources

A dengue fever predicting model based on Baidu search index data and climate data in South China. [PDF]

PLoS One, 2019
With the acceleration of global urbanization and climate change, dengue fever is spreading worldwide. Different levels of dengue fever have also occurred in China, especially in southern China, causing enormous economic losses. Unfortunately, there is no effective treatment for dengue, and the most popular dengue vaccine does not exhibit good curative ...
Liu D, Guo S, Zou M, Chen C, Deng F, Xie Z, Hu S, Wu L.   +7 more
europepmc   +5 more sources

Early Warning and Prediction of Scarlet Fever in China Using the Baidu Search Index and Autoregressive Integrated Moving Average With Explanatory Variable (ARIMAX) Model: Time Series Analysis. [PDF]

J Med Internet Res, 2023
Background Internet-derived data and the autoregressive integrated moving average (ARIMA) and ARIMA with explanatory variable (ARIMAX) models are extensively used for infectious disease surveillance. However, the effectiveness of the Baidu search index (BSI) in predicting the incidence of scarlet fever remains ...
Luo T, Zhou J, Yang J, Xie Y, Wei Y, Mai H, Lu D, Yang Y, Cui P, Ye L, Liang H, Huang J.   +11 more
europepmc   +4 more sources

Comparison of the Prediction Effect of the Garch-x Model on Sse 50 Volatility Based on the Baidu and Douyin Search Indices [PDF]

SHS Web of Conferences
With the rapid development of financial markets and the advancement of information technology, the application value of alternative data in economic research has become increasingly prominent.
Chen Hongjin, Liu Ruiyu, Wu Zhuoxin
doaj   +2 more sources

Monitoring influenza epidemics in china with search query from baidu. [PDF]

PLoS ONE, 2013
Several approaches have been proposed for near real-time detection and prediction of the spread of influenza. These include search query data for influenza-related terms, which has been explored as a tool for augmenting traditional surveillance methods ...
Qingyu Yuan, Elaine O Nsoesie, Benfu Lv, Geng Peng, Rumi Chunara, John S Brownstein   +5 more
doaj   +3 more sources

Enhancing public health surveillance: SARIMAX model incorporating Baidu search index for HCV prediction in China. [PDF]

BMC Med Res Methodol
Hepatitis C virus (HCV) has become a serious global public health issue. Existing study has confirmed the potential role of internet search data in the prediction of infectious diseases. This study aims to explore predictive models suitable for HCV, providing references and recommendations for actively responding to the World Health Organization's ...
Ning H, Lan Y, Huang Q, Luo T, Yang J, Zhou J, Li Z, Cui P, Liang H, Huang J.   +9 more
europepmc   +4 more sources

Spatial Spillover Effect and Influencing Factors of Information Flow in Urban Agglomerations—Case Study of China Based on Baidu Search Index [PDF]

Sustainability, 2021
Cities in an urban agglomeration closely interact with each other through various flows. Information flow, as one of the important forms of urban interactions, is now increasingly indispensable with the fast development of informatics technology. Thanks to its timely, convenient, and spatially unconstrained transmission ability, information flow has ...
Haiyan Tao, Li Zhuo, Chengzhuo Wu
exaly   +2 more sources

Forecasting seasonal allergic rhinitis through integrated analysis of social media and online drug sales data [PDF]

World Allergy Organization Journal
Background: Allergic rhinitis (AR) is a highly prevalent, seasonally variable disease that poses a growing public health challenge. Conventional surveillance based on clinic visits and surveys is slow and may miss self-medicating patients.
Xunliang Tong, MD, PhD, Chuangsen Fang, MD, Xiaowei Jiang, MPH, Lan Liu, PhD, Rui Shen, PhD, Dan Li, MD, Karl-Christian Bergmann, MD, Torsten Zuberbier, MD, Weiwei Cui, PhD, Luzhao Feng, PhD, Yanming Li, MD   +10 more
doaj   +2 more sources

Search trends and prediction of human brucellosis using Baidu index data from 2011 to 2018 in China [PDF]

Scientific Reports, 2020
AbstractReporting on brucellosis, a relatively rare infectious disease caused by Brucella, is often delayed or incomplete in traditional disease surveillance systems in China. Internet search engine data related to brucellosis can provide an economical and efficient complement to a conventional surveillance system because people tend to seek ...
Qing Zhen, Wenchao Wu, Songyu Wu
exaly   +3 more sources