Accepted for/Published in: Interactive Journal of Medical Research
Date Submitted: Aug 30, 2022
Date Accepted: Nov 29, 2022
Date Submitted to PubMed: Mar 13, 2023
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Big data and infectious disease epidemiology: A bibliometric analysis and research agenda
ABSTRACT
Background:
Infectious diseases represent a major challenge for health systems worldwide. With the recent global pandemic of COVID-19, the need to research strategies to treat these health problems has become even more pressing. Although the literature on big data and data science in health has grown rapidly, few studies have synthesized these individual studies, and none has identified the utility of Big data in infectious disease surveillance and modeling.
Objective:
This paper aims to synthesize research and identify hotspots of big data in infectious disease epidemiology
Methods:
Bibliometric data from 2607 documents retrieved from the Web of Science database over 22 years (2000-2022) were analyzed and reviewed.
Results:
The bibliometric analysis revealed internet search engines and social media as the most utilized big data sources for infectious disease surveillance or modeling. It also placed the US and Chinese institutions as leaders in this research area. Disease monitoring and surveillance, utility of electronic health (or medical) records, methodology framework for infodemiology tools, and machine/deep learning were identified as the core research themes.
Conclusions:
Proposals for future studies are made based on these findings. This study will provide healthcare informatics scholars with a comprehensive understanding of big data research in infectious disease epidemiology.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.