Cargando…

Using Baidu Search Index to Predict Dengue Outbreak in China

This study identified the possible threshold to predict dengue fever (DF) outbreaks using Baidu Search Index (BSI). Time-series classification and regression tree models based on BSI were used to develop a predictive model for DF outbreak in Guangzhou and Zhongshan, China. In the regression tree mod...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Kangkang, Wang, Tao, Yang, Zhicong, Huang, Xiaodong, Milinovich, Gabriel J, Lu, Yi, Jing, Qinlong, Xia, Yao, Zhao, Zhengyang, Yang, Yang, Tong, Shilu, Hu, Wenbiao, Lu, Jiahai
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group 2016
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131307/ https://www.ncbi.nlm.nih.gov/pubmed/27905501 http://dx.doi.org/10.1038/srep38040

Ejemplares similares

Developing a Time Series Predictive Model for Dengue in Zhongshan, China Based on Weather and Guangzhou Dengue Surveillance Data
por: Zhang, Yingtao, et al.
Publicado: (2016)

Dynamic spatiotemporal analysis of indigenous dengue fever at street-level in Guangzhou city, China
por: Liu, Kangkang, et al.
Publicado: (2018)

Dengue Underestimation in Guangzhou, China: Evidence of Seroprevalence in Communities With No Reported Cases Before a Large Outbreak in 2014
por: Jing, Qinlong, et al.
Publicado: (2019)

New genotype invasion of dengue virus serotype 1 drove massive outbreak in Guangzhou, China
por: Ma, Mengmeng, et al.
Publicado: (2021)

Spatial and Temporal Characteristics of 2014 Dengue Outbreak in Guangdong, China
por: Sanna, Mattia, et al.
Publicado: (2018)

A brief historical overview of emerging infectious disease response in China and the need for a One Health approach in future responses
por: Lu, Jiahai, et al.
Publicado: (2016)

Early Warning and Monitoring of Coronavirus Disease 2019 Using Baidu Search Index and Baidu Information Index in Guangxi, China
por: Xie, Yihong, et al.
Publicado: (2022)

Meteorological Factors for Dengue Fever Control and Prevention in South China
por: Gu, Haogao, et al.
Publicado: (2016)

Dengue Baidu Search Index data can improve the prediction of local dengue epidemic: A case study in Guangzhou, China
por: Li, Zhihao, et al.
Publicado: (2017)

Baidu Index and COVID-19 Epidemic Forecast: Evidence From China
por: Fang, Jianchun, et al.
Publicado: (2021)

A dengue fever predicting model based on Baidu search index data and climate data in South China
por: Liu, Dan, et al.
Publicado: (2019)

Using Baidu search values to monitor and predict the confirmed cases of COVID-19 in China: – evidence from Baidu index
por: Tu, Bizhi, et al.
Publicado: (2021)

Monitoring Pertussis Infections Using Internet Search Queries
por: Zhang, Yuzhou, et al.
Publicado: (2017)

Using the Baidu Search Index to Predict the Incidence of HIV/AIDS in China
por: He, Guangye, et al.
Publicado: (2018)

A threshold analysis of dengue transmission in terms of weather variables and imported dengue cases in Australia
por: Huang, Xiaodong, et al.
Publicado: (2013)

Predicting pulmonary tuberculosis incidence in China using Baidu search index: an ARIMAX model approach
por: Yang, Jing, et al.
Publicado: (2023)

Early detection of an epidemic erythromelalgia outbreak using Baidu search data
por: Gu, Yuzhou, et al.
Publicado: (2015)

Early warning and monitoring of COVID-19 using the Baidu Search Index in China
por: Zhou, Wanwan, et al.
Publicado: (2022)

Search trends and prediction of human brucellosis using Baidu index data from 2011 to 2018 in China
por: Zhao, Chenhao, et al.
Publicado: (2020)

The interplay of climate, intervention and imported cases as determinants of the 2014 dengue outbreak in Guangzhou
por: Cheng, Qu, et al.
Publicado: (2017)

Using internet search queries for infectious disease surveillance: screening diseases for suitability
por: Milinovich, Gabriel J, et al.
Publicado: (2014)

The lead time and geographical variations of Baidu Search Index in the early warning of COVID-19
por: Ruan, Yuhua, et al.
Publicado: (2023)

Using search trends before and after the COVID-19 outbreak in China to analyze digestive symptoms: medical informatics study of the Baidu Index data
por: Luo, Jianchen, et al.
Publicado: (2022)

Climate and the Timing of Imported Cases as Determinants of the Dengue Outbreak in Guangzhou, 2014: Evidence from a Mathematical Model
por: Cheng, Qu, et al.
Publicado: (2016)

Monitoring Influenza Epidemics in China with Search Query from Baidu
por: Yuan, Qingyu, et al.
Publicado: (2013)

Author Correction: The lead time and geographical variations of Baidu Search Index in the early warning of COVID-19
por: Ruan, Yuhua, et al.
Publicado: (2023)

Spatiotemporal distribution of migraine in China: analyses based on baidu index
por: Lin, Liling, et al.
Publicado: (2023)

Species-specific climate Suitable Conditions Index and dengue transmission in Guangdong, China
por: Lu, Xinting, et al.
Publicado: (2022)

Can retail investors induce corporate green innovation? -Evidence from Baidu Search Index
por: Li, Min, et al.
Publicado: (2022)

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
por: Luo, Tingyan, et al.
Publicado: (2023)

Socio-demographic, ecological factors and dengue infection trends in Australia
por: Akter, Rokeya, et al.
Publicado: (2017)

Using Baidu index to nowcast hand-foot-mouth disease in China: a meta learning approach
por: Zhao, Yang, et al.
Publicado: (2018)

Using the Baidu index to predict trends in the incidence of tuberculosis in Jiangsu Province, China
por: Wang, Yue, et al.
Publicado: (2023)

El Niño-Southern Oscillation, local weather and occurrences of dengue virus serotypes
por: Huang, Xiaodong, et al.
Publicado: (2015)

Who Is Vulnerable to Dengue Fever? A Community Survey of the 2014 Outbreak in Guangzhou, China
por: Chen, Bin, et al.
Publicado: (2016)

Use of Baidu Index to Track Chinese Online Behavior and Interest in Kidney Stones
por: Wang, Tengteng, et al.
Publicado: (2020)

Surveillance of Dengue Fever Virus: A Review of Epidemiological Models and Early Warning Systems
por: Racloz, Vanessa, et al.
Publicado: (2012)

Trends in the Baidu Index in Search Activity Related to Mpox at Geographical and Economic Levels and Associated Factors in China: National Longitudinal Analysis
por: Du, Min, et al.
Publicado: (2023)

Using Baidu Index Data to Improve Chickenpox Surveillance in Yunnan, China: Infodemiology Study
por: Wang, Zhaohan, et al.
Publicado: (2023)

Disease surveillance based on Internet-based linear models: an Australian case study of previously unmodeled infection diseases
por: Rohart, Florian, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_up2ekm0cg9len66h57038m7f7e