Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Mar 29, 2020
Open Peer Review Period: Mar 29, 2020 - Apr 5, 2020
Date Accepted: Apr 9, 2020
Date Submitted to PubMed: Apr 14, 2020
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited.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.
Using big data for effective surveillance and control of COVID-19: useful experiences from Hubei province of China
ABSTRACT
Background:
Background:
COVID-19 has been an unprecedented challenge to the global healthcare system. Tools that can improve the focus of surveillance efforts and clinical decision support are of paramount importance.
Objective:
Objective:
New medical informatics technologies are needed to enable effective control of the pandemic.
Methods:
Methods:
The Honghu Hybrid System (HHS) for COVID-19 collected, integrated, standardized and analyzed data from multiple sources, including the case reporting system, diagnostic labs, electronic medical records and social media on mobile devices.
Results:
Results:
HHS was developed and successfully deployed within 72 hours in the city of Honghu in Hubei Province, China. Syndromic surveillance component in HHS covered over 95% of the population of over 900,000 people and provided near real-time evidence for the control of epidemic emergencies. Clinical decision support component in HHS was also provided to improve patient care and prioritize the limited medical resources.
Conclusions:
Conclusions:
The facilitating factors and challenges are discussed to provide useful insights to other cities to build up suitable solutions based on big-data technologies. The HHS for COVID-19 proved to be feasible, sustainable and effective and can be migrated.
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.