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Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Evaluation of vaccination herd immunity effects for anogenital warts in a low coverage setting with human papillomavirus vaccine—an interrupted time series analysis from 2005 to 2010 using health insurance data

BMC Infectious DiseasesBMC series – open, inclusive and trusted201717:564

https://doi.org/10.1186/s12879-017-2663-7

Received: 21 October 2016

Accepted: 1 August 2017

Published: 14 August 2017

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Open Peer Review reports

Pre-publication versions of this article are available by contacting info@biomedcentral.com.

Original Submission
21 Oct 2016 Submitted Original manuscript
25 Nov 2016 Reviewed Reviewer Report - Junko Tanaka
28 Dec 2016 Reviewed Reviewer Report - Rebecca Perkins
18 Feb 2017 Author responded Author comments - Kathrin Thöne
Resubmission - Version 2
18 Feb 2017 Submitted Manuscript version 2
22 Mar 2017 Reviewed Reviewer Report - Rebecca Perkins
7 Jun 2017 Reviewed Reviewer Report - Laila Khawar
18 Jul 2017 Author responded Author comments - Kathrin Thöne
Resubmission - Version 3
18 Jul 2017 Submitted Manuscript version 3
Publishing
1 Aug 2017 Editorially accepted
14 Aug 2017 Article published 10.1186/s12879-017-2663-7

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 info@biomedcentral.com.

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

Authors’ Affiliations

(1)
Leibniz-Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
(2)
Hubertus Wald Tumor Center, University Cancer Center Hamburg (UCCH)/ University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
(3)
Helmholtz Centre for Infection Research, Braunschweig, Germany
(4)
Hannover Medical School, Hannover, Germany
(5)
Institute for Medical Epidemiology, Biometrics, and Informatics, Medical Faculty of the Martin-Luther University Halle-Wittenberg, Halle (Saale), Germany

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