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Frontiers in Big Data 2020 : Novel Big Data Technologies in Public Health


When N/A
Where N/A
Abstract Registration Due Sep 25, 2020
Submission Deadline Oct 30, 2020
Notification Due Dec 14, 2020
Final Version Due Jan 31, 2021
Categories    big data   public health   analytics   machine learning

Call For Papers

Call for Papers

Novel Big Data Technologies in Public Health

The public health industry has been significantly transformed by the advert and evolution of digital technologies. In the last decade, the landscape has drastically changed with smartphone technologies, wearables, the internet of things (IoT), and, even more so, with high-speed connectivity becoming ubiquitous. With them came new ways for utilizing large amount of data in order to create solutions for many use-case driven approaches in public health. These include public health advice, online intervention in telehealth, health data tracking, and computer assisted advice. With the world now focusing on many aspects of public health due to the COVID-19 pandemic, there will be increased focus on how big data and analytics can play a productive role, not just during the pandemic but in applications in the post COVID-19 era in areas such as mental health, post intensive-care and new service delivery of public health services.

This Research Topic is interested in recent research undertaken around big data in the broad context of public health. The aim is to curate recent advances in how big data is utilized to tackle specific use-cases in public health around the world.

• Novel applications of big data and analytics to reinvent solutions for current and new problems in public health
• Experience sharing, in terms of pitfalls of public health analytics that researchers/practitioners should consider when using big data
• Telehealth applications using AI/ML and big data
• Social media applications/solutions in public health
• Wearable and mobile solutions using AI/ML and big data
• Population/citizen participation solutions
• Big data epidemiological solutions
• Big data assistive technologies

Types of papers
This special issue accepts different types of papers, including

• Full papers (A-type papers) that detailed original research, systematic literature review, or reports on new findings
• Report papers (B-type papers), such as case studies, or mature work in progress papers
• Opinion papers (C-type papers), providing general commentary or opinion of interest to the special issue

Submission Deadlines
• Abstract due: 25 September 2020
• Manuscript submission: 30 October 2020
• Notification of acceptance: 14 December 2020

Accepted papers in this Research Topic will be published in one of the two Frontiers journals

* Frontiers in Big Data, Medicine and Public Health
* Frontiers in Artificial Intelligence, Medicine and Public Health

Both journals are Open Access but have curated papers from high profile researchers in the field. You can view them here:

What is a Research Topic?

Frontiers publishes papers only in Open Access, so there is an Open Access fee charged based on the type of paper submitted (see above). More information can be seen here:

Special issue editors

Kok-Leong Ong
La Trobe University, Victoria, Australia

Haijing Hao
Bentley University, Massachusetts, USA

Simon Fong
University of Macau, Macau, China

Alexandra Maertens
Johns Hopkins University, Baltimore, United States

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