A machine learning method to monitor China’s AIDS epidemics with data from Baidu trends-Reference-Cited by-同舟云学术

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A machine learning method to monitor China’s AIDS epidemics with data from Baidu trends

Published:2018-07-11 Issue:7 Volume:13 Page:e0199697
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Nan Yongqing,Gao Yanyan^ORCID

Funder

The Youth project of MOE Humanity and Social Science Foundation

National Natural Science Foundation of China (CN)

Basic Research Funds for China’s Central Universities

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference30 articles.

1. Scientific approaches to AIDS prevention and control in China;T Teng;Adv Dent Res,2011

2. Quantitatively monitoring AIDS policy implementation in China;Y Liu;Int J Epidemiol,2010

3. Illness among schoolchildren during influenza season;KM Neuzil;Arch Pediatr Adolesc Med,2002

4. Timeliness of data sources used for influenza surveillance;L Dailey;J Am Med Inform Assoc: JAMIA,2007

5. Monitoring the emergence of community transmission of influenza A/H1N1 2009 in England: a cross sectional opportunistic survey of self sampled telephone callers to NHS Direct;AJ Elliot;BMJ,2009

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