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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

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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