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Estimating the impact of post randomization changes in staff behavior in infection prevention trials: a mathematical modeling approach

BMC Infectious DiseasesBMC series – open, inclusive and trusted201717:539

Received: 12 January 2017

Accepted: 25 July 2017

Published: 3 August 2017

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Open Peer Review reports

Pre-publication versions of this article are available by contacting

Original Submission
12 Jan 2017 Submitted Original manuscript
9 Mar 2017 Reviewed Reviewer Report - Mirian DalBen
28 May 2017 Reviewed Reviewer Report - Gesham Magombedze
28 Jun 2017 Author responded Author comments - Eric Lofgren
Resubmission - Version 2
28 Jun 2017 Submitted Manuscript version 2
25 Jul 2017 Editorially accepted
3 Aug 2017 Article published 10.1186/s12879-017-2632-1

How does Open Peer Review work?

Open peer review is a system where authors know who the reviewers are, and the reviewers know who the authors are. If the manuscript is accepted, the named reviewer reports are published alongside the article. Pre-publication versions of the article are available by contacting

You can find further information about the peer review system here.

Authors’ Affiliations

Paul G. Allen School for Global Animal Health, Washington State University, Pullman, USA
Community Health Analytics Initiative, Washington State University, Pullman, USA