Exploring The Landscape of Digital Public Health Research Using Text Mining Siliang (Celine) Liu
Siliang (Celine) Liu, Hyeju Jang, Hsiu-Ju Chang, Alice X.T. Xu, Ihoghosa Iyamu, Mark Gilbert The research on digital public health is growing and evolving rapidly. Categorizing large numbers of studies from a rapidly growing subject area into systematic reviews and interpreting the results in a logical way can be challenging. This study aimed to map research literature within this field and to identify research clusters and gaps using text mining techniques. We processed ~26,000 abstracts of related publications between 2000 and 2020 and identified major research topics and trends of publications. The findings of this study can inform digital public health strategy development, and facilitate digital public health research and initiatives.
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10/14/2020 9:05:00 PM
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