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Big Data Knowledge in Global Health Education

Authors:

Olaniyi Olayinka ,

Center for Global Health, Old Dominion University, Norfolk, VA
About Olaniyi
MBChB, MPH
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Michele Kekeh,

Center for Global Health, Old Dominion University, Norfolk, VA
About Michele
PhD
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Manasi Sheth-Chandra,

Center for Global Health, Old Dominion University, Norfolk, VA
About Manasi
PhD
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Muge Akpinar-Elci

Center for Global Health, Old Dominion University, Norfolk, VA
About Muge
MD, MPH
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Abstract

The ability to synthesize and analyze massive amounts of data is critical to the success of organizations, including those that involve global health. As countries become highly interconnected, increasing the risk for pandemics and outbreaks, the demand for big data is likely to increase. This requires a global health workforce that is trained in the effective use of big data. To assess implementation of big data training in global health, we conducted a pilot survey of members of the Consortium of Universities of Global Health. More than half the respondents did not have a big data training program at their institution. Additionally, the majority agreed that big data training programs will improve global health deliverables, among other favorable outcomes. Given the observed gap and benefits, global health educators may consider investing in big data training for students seeking a career in global health.
How to Cite: Olayinka, O. et al. , (2017). Big Data Knowledge in Global Health Education . Annals of Global Health . 83 ( 3-4 ) , pp . 676–681 . DOI: http://doi.org/10.1016/j.aogh.2017.09.005
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Published on 06 Nov 2017.
Peer Reviewed

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