Difference between revisions of "Global Disease Monitoring and Forecasting with Wikipedia"
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| title = Global Disease Monitoring and Forecasting with Wikipedia | | title = Global Disease Monitoring and Forecasting with Wikipedia | ||
− | | date = | + | | date = 2016 |
| authors = [[Nicholas Generous]]<br />[[Geoffrey Fairchild]]<br />[[Alina Deshpande]]<br />[[Sara Y. Del Valle]]<br />[[Reid Priedhorsky]] | | authors = [[Nicholas Generous]]<br />[[Geoffrey Fairchild]]<br />[[Alina Deshpande]]<br />[[Sara Y. Del Valle]]<br />[[Reid Priedhorsky]] | ||
− | | doi = 10. | + | | doi = 10.5210/ojphi.v8i1.6530 |
− | | link = | + | | link = http://journals.uic.edu/ojs/index.php/ojphi/article/view/6530 |
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}} | }} | ||
− | '''Global Disease Monitoring and Forecasting with Wikipedia''' - scientific work related to [[Wikipedia quality]] published in | + | '''Global Disease Monitoring and Forecasting with Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2016, written by [[Nicholas Generous]], [[Geoffrey Fairchild]], [[Alina Deshpande]], [[Sara Y. Del Valle]] and [[Reid Priedhorsky]]. |
== Overview == | == Overview == | ||
− | + | This poster establishes the utility of [[Wikipedia]] as a broadly effective data source for disease information, and authors outline a path to a reliable, scientifically sound, operational, and global disease surveillance system that overcomes key gaps in existing traditional and internet-based techniques. | |
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Revision as of 10:46, 27 November 2019
Authors | Nicholas Generous Geoffrey Fairchild Alina Deshpande Sara Y. Del Valle Reid Priedhorsky |
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Publication date | 2016 |
DOI | 10.5210/ojphi.v8i1.6530 |
Links | Original |
Global Disease Monitoring and Forecasting with Wikipedia - scientific work related to Wikipedia quality published in 2016, written by Nicholas Generous, Geoffrey Fairchild, Alina Deshpande, Sara Y. Del Valle and Reid Priedhorsky.
Overview
This poster establishes the utility of Wikipedia as a broadly effective data source for disease information, and authors outline a path to a reliable, scientifically sound, operational, and global disease surveillance system that overcomes key gaps in existing traditional and internet-based techniques.