DOI: 10.1128/CVI.00525-16
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PubMed
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History
- Received November 14, 2016
- Returned for modification December 2, 2016
- Accepted January 4, 2017
- Published online March 6, 2017.
Copyright & Usage
Copyright © 2017 Rhodes et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.
Editors and / or Reviewers
- Helene F. Rosenberg, Editor, IIS/LAD/NIAID/NIH
Article Versions
- Accepted Manuscript version (January 11, 2017).
- You are viewing the most recent version of this article.
Author Information
- Sophie J. Rhodesa,
- Charlotte Sarfasb,
- Gwenan M. Knighta,c,
- Andrew Whiteb,
- Ansar A. Pathand,
- Helen McShanee,
- Thomas G. Evansf,
- Helen Fletcherg,
- Sally Sharpeb and
- Richard G. Whitea
- aTB Modelling Group, CMMID, TB Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
- bPublic Health England, Porton Down, United Kingdom
- cImperial College, London, United Kingdom
- dCollege of Health and Life Sciences, Department of Life Sciences, Brunel University, London, United Kingdom
- eThe Jenner Institute, University of Oxford, Oxford, United Kingdom
- fTomegaVax, Portland, Oregon, USA
- gImmunology and Infection Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Address correspondence to Sophie J. Rhodes, Sophie.rhodes{at}lshtm.ac.uk.
S.J.R. and C.S. are joint first authors. S.S. and R.G.W. are joint senior authors.
Citation Rhodes SJ, Sarfas C, Knight GM, White A, Pathan AA, McShane H, Evans TG, Fletcher H, Sharpe S, White RG. 2017. Using data from macaques to predict gamma interferon responses after Mycobacterium bovis BCG vaccination in humans: a proof-of-concept study of immunostimulation/immunodynamic modeling methods. Clin Vaccine Immunol 24:e00525-16. https://doi.org/10.1128/CVI.00525-16.
Article usage
Using Data from Macaques To Predict Gamma Interferon Responses after Mycobacterium bovis BCG Vaccination in Humans: a Proof-of-Concept Study of Immunostimulation/Immunodynamic Modeling Methods
