| dc.creator |
Mongi, Hector |
|
| dc.date |
2020-03-24T11:49:28Z |
|
| dc.date |
2020-03-24T11:49:28Z |
|
| dc.date |
2018 |
|
| dc.date.accessioned |
2022-10-20T13:47:40Z |
|
| dc.date.available |
2022-10-20T13:47:40Z |
|
| dc.identifier |
Mongi, H. (2018). Usage of big data for global tobacco control: exploring the trends in quantitative research from 2006 to 2015. Tobacco Induced Diseases, 16(1), 17. |
|
| dc.identifier |
1617-9625 |
|
| dc.identifier |
https://doi.org/10.18332/tid/83777 |
|
| dc.identifier |
http://hdl.handle.net/20.500.12661/2340 |
|
| dc.identifier.uri |
http://hdl.handle.net/20.500.12661/2340 |
|
| dc.description |
Full Text Article available at: http://www.tobaccoinduceddiseases.org/Usage-of-big-data-for-global-tobacco-control-exploring-the-trends-in-quantitative,83777,0,2.html |
|
| dc.description |
Measuring the impact of tobacco control initiatives like in other major themes of research relies on the data. Recently, there has been growing interest in the usability of big data which is characterized by large volumes, high computer processing speeds and huge storage networked databases. All these offer opportunity to make senses out of data through discovering new patterns and possibly creating new fields. This study tried to discover the usage trends of volumes of data in quantitative research to inform WHO FCTC impacts on tobacco control across the world between 2006 and 2015. |
|
| dc.language |
en |
|
| dc.publisher |
Tobacco Induced Diseases |
|
| dc.subject |
Tobacco control |
|
| dc.subject |
Computer processing |
|
| dc.subject |
Networked databases |
|
| dc.subject |
WHO |
|
| dc.subject |
World Health Organization |
|
| dc.subject |
Economic status |
|
| dc.title |
Usage of big data for global tobacco control: exploring the trends in quantitative research from 2006 to 2015 |
|
| dc.type |
Article |
|