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  • Models for estimating and projecting global, regional and national prevalence and disease burden of asthma: protocol for a systematic review

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Epidemiology
Protocol
Models for estimating and projecting global, regional and national prevalence and disease burden of asthma: protocol for a systematic review

Authors

  • Mohammad Romel Bhuia Asthma UK Centre for Applied Research, Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK PubMed articlesGoogle scholar articles
  • Bright I Nwaru Asthma UK Centre for Applied Research, Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK School of Health Sciences, University of Tampere, Tampere, Finland PubMed articlesGoogle scholar articles
  • Christopher J Weir Edinburgh Clinical Trials Unit, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK PubMed articlesGoogle scholar articles
  • Aziz Sheikh Asthma UK Centre for Applied Research, Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK PubMed articlesGoogle scholar articles
  1. Correspondence to Mr. Mohammad Romel Bhuia; Mohammad-Romel.Bhuia{at}ed.ac.uk
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Citation

Bhuia MR, Nwaru BI, Weir CJ, et al
Models for estimating and projecting global, regional and national prevalence and disease burden of asthma: protocol for a systematic review
BMJ Open 2017;7:e015441. doi: 10.1136/bmjopen-2016-015441

Publication history

  • Received December 4, 2016
  • Revised January 31, 2017
  • Accepted April 4, 2017
  • First published May 17, 2017.
Online issue publication 
May 17, 2017
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© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/