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Featured article: Forecasting AIDS prevalence in the United States using online search traffic data

Over the past decade and with the increasing use of the Internet, the assessment of health issues using online search traffic data has become an integral part of Health Informatics. In this study, the authors provide a method of forecasting AIDS prevalence in the US using online search traffic data from Google Trends on AIDS-related terms. The results show that significant correlations between Google Trends’ data and official health data on AIDS prevalence (2004–2015) exist in several States, while the estimated forecasting models for AIDS prevalence show that official health data and Google Trends data on AIDS follow a logarithmic relationship.


  1. Content type: Survey paper


    Authors: Chun-Wei Tsai, Chin-Feng Lai, Han-Chieh Chao and Athanasios V. Vasilakos

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Aims and scope

The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.

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Advanced Soft Computing Methodologies and Applications in Social Media Big Data Analytics

Lead Guest Editor

  • Zhiyong Zhang, Distinguished Professor, Henan University of Science & Technology, China

Guest Editors

  • Kun Hua, Lawrence Technology University, USA
  • Arun Kumar Sangaiah, VIT University, India


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Journal of Big Data Accepted into Scopus!

We are pleased to announce that the Journal of Big Data has been accepted into Scopus, the world's largest abstract and citation database of peer-reviewed literature. Read more about the journal's abstract and indexing on the 'About' page.

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