[HTML][HTML] Forecast of the trend in incidence of acute hemorrhagic conjunctivitis in China from 2011–2019 using the Seasonal Autoregressive Integrated Moving …

H Liu, C Li, Y Shao, X Zhang, Z Zhai, X Wang… - Journal of infection and …, 2020 - Elsevier
Background This study aimed to explore the demographic and distributive features of acute
hemorrhagic conjunctivitis (AHC). We constructed seasonal autoregressive integrated …

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

C Zhao, Y Yang, S Wu, W Wu, H Xue, K An, Q Zhen - Scientific Reports, 2020 - nature.com
Reporting on brucellosis, a relatively rare infectious disease caused by Brucella, is often
delayed or incomplete in traditional disease surveillance systems in China. Internet search …

Study of the effects of air pollutants on human health based on Baidu indices of disease symptoms and air quality monitoring data in Bei**g, China

S Zhong, Z Yu, W Zhu - … journal of environmental research and public …, 2019 - mdpi.com
There is an increasing body of evidence showing the impact of air pollutants on human
health such as on the respiratory, and cardio-and cerebrovascular systems. In China, as …

[HTML][HTML] Using baidu index data to improve chickenpox surveillance in Yunnan, China: Infodemiology study

Z Wang, J He, B **, L Zhang, C Han, M Wang… - Journal of Medical …, 2023 - jmir.org
Background Chickenpox is an old but easily neglected infectious disease. Although
chickenpox is preventable by vaccines, vaccine breakthroughs often occur, and the …

An overview and general framework for spatiotemporal modeling and applications in transportation and public health

L Li, KL Tsui, Y Zhao - Artificial Intelligence, Big Data and Data Science in …, 2022 - Springer
Spatiotemporal modeling and forecasting is an essential task for many real-world problems,
especially in the field of transportation and public health. The complex and dynamic patterns …

[HTML][HTML] Improving Google flu trends for COVID-19 estimates using Weibo posts

S Guo, F Fang, T Zhou, W Zhang, Q Guo, R Zeng… - Data Science and …, 2021 - Elsevier
While incomplete non-medical data has been integrated into prediction models for
epidemics, the accuracy and the generalizability of the data are difficult to guarantee. To …

[HTML][HTML] Methods on COVID-19 epidemic curve estimation during emergency based on Baidu search engine and ILI traditional surveillance in Bei**g, China

T Zhang, L Yang, X Han, G Fan, J Qian, X Hu, S Lai… - Engineering, 2023 - Elsevier
Surveillance is an essential work on infectious diseases prevention and control. When the
pandemic occurred, the inadequacy of traditional surveillance was exposed, but it also …

Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study

Q Niu, J Liu, Z Zhao, M Onishi, A Kawaguchi… - BMC Infectious …, 2022 - Springer
Abstract Background Coronavirus Disease 2019 (COVID-19) pandemic affects common
diseases, but its impact on hand, foot, and mouth disease (HFMD) is unclear. Google Trends …

Forecasting HFMD cases using weather variables and google search queries in Sabah, Malaysia

VJ Jayaraj, VCW Hoe - … Journal of Environmental Research and Public …, 2022 - mdpi.com
HFMD is a viral-mediated infectious illness of increasing public health importance. This
study aimed to develop a forecasting tool utilizing climatic predictors and internet search …

Using deep learning to predict the hand-foot-and-mouth disease of enterovirus A71 subtype in Bei**g from 2011 to 2018

Y Wang, Z Cao, D Zeng, X Wang, Q Wang - Scientific reports, 2020 - nature.com
Hand-foot-and-month disease (HFMD), especially the enterovirus A71 (EV-A71) subtype, is
a major health problem in Bei**g, China. Previous studies mainly used regressive models to …