A machine learning method to monitor China's AIDS epidemics with data from Baidu trends.
<h4>Background</h4>AIDS is a worrying public health issue in China and lacks timely and effective surveillance. With the diffusion and adoption of the Internet, the 'big data' aggregated from Internet search engines, which contain users' information on the concern or reali...
Saved in:
| Main Authors: | Yongqing Nan, Yanyan Gao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2018-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0199697&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study
by: Xin Xiong, et al.
Published: (2025-02-01) -
Infertility trends in China: analyzing temporal changes, public demand, and demographic differences based on Baidu index
by: Xun Li, et al.
Published: (2025-07-01) -
Analyzing Online Search Trends for Kidney, Prostate, and Bladder Cancers in China: Infodemiology Study Using Baidu Search Data (2011-2023)
by: Shuangquan Lin, et al.
Published: (2025-03-01) -
Use of the Baidu Index to Measure Public Attention in China on the China–Myanmar Border
by: Qinyi Tan, et al.
Published: (2024-11-01) -
A dengue fever predicting model based on Baidu search index data and climate data in South China.
by: Dan Liu, et al.
Published: (2019-01-01)