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Health informatics
Research
Using internet search data to predict new HIV diagnoses in China: a modelling study

Authors

  • Qingpeng Zhang Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong SAR, China City University of Hong Kong Shenzhen Research Institute, Shenzhen, China PubMed articlesGoogle scholar articles
  • Yi Chai Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong SAR, China Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong, Hong Kong SAR, China PubMed articlesGoogle scholar articles
  • Xiaoming Li Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA PubMed articlesGoogle scholar articles
  • Sean D Young University of California Institute for Prediction Technology, Department of Family Medicine, University of California Los Angeles, Los Angeles, California, USA PubMed articlesGoogle scholar articles
  • Jiaqi Zhou Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong SAR, China PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Qingpeng Zhang; qpzhang{at}email.arizona.edu
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Citation

Zhang Q, Chai Y, Li X, et al
Using internet search data to predict new HIV diagnoses in China: a modelling study
BMJ Open 2018;8:e018335. doi: 10.1136/bmjopen-2017-018335

Publication history

  • Received June 21, 2017
  • Revised June 18, 2018
  • Accepted August 20, 2018
  • First published October 17, 2018.
Online issue publication 
January 10, 2022
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© Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.