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This article has Open Peer Review reports available.

How does Open Peer Review work?

Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility

  • Duygu Balcan1, 2,
  • Hao Hu1, 2, 3,
  • Bruno Goncalves1, 2,
  • Paolo Bajardi4, 5,
  • Chiara Poletto4,
  • Jose J Ramasco4,
  • Daniela Paolotti4,
  • Nicola Perra1, 6, 7,
  • Michele Tizzoni4, 8,
  • Wouter Van den Broeck4,
  • Vittoria Colizza4 and
  • Alessandro Vespignani1, 2, 4Email author
Contributed equally
BMC Medicine20097:45

https://doi.org/10.1186/1741-7015-7-45

Received: 31 July 2009

Accepted: 10 September 2009

Published: 10 September 2009

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Open Peer Review reports

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

Original Submission
31 Jul 2009 Submitted Original manuscript
14 Aug 2009 Reviewed Reviewer Report - Hiroshi Nishiura
18 Aug 2009 Reviewed Reviewer Report - Steven Riley
19 Aug 2009 Reviewed Reviewer Report - Jodie McVernon
26 Aug 2009 Author responded Author comments - Alessandro Vespignani
Resubmission - Version 2
26 Aug 2009 Submitted Manuscript version 2
27 Aug 2009 Reviewed Reviewer Report - Hiroshi Nishiura
31 Aug 2009 Author responded Author comments - Alessandro Vespignani
Resubmission - Version 3
31 Aug 2009 Submitted Manuscript version 3
1 Sep 2009 Author responded Author comments - Alessandro Vespignani
1 Sep 2009 Reviewed Reviewer Report - Hiroshi Nishiura
Resubmission - Version 4
1 Sep 2009 Submitted Manuscript version 4
Publishing
10 Sep 2009 Editorially accepted
10 Sep 2009 Article published 10.1186/1741-7015-7-45

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)
Center for Complex Networks and Systems Research, School of Informatics and Computing, Indiana University, Bloomington, USA
(2)
Pervasive Technology Institute, Indiana University, Bloomington, USA
(3)
Department of Physics, Indiana University, Bloomington, USA
(4)
Computational Epidemiology Laboratory, Institute for Scientific Interchange, Turin, Italy
(5)
Centre de Physique Théorique, Université d'Aix-Marseille, Marseille, France
(6)
Department of Physics, University of Cagliari, Cagliari, Italy
(7)
Linkalab, Cagliari, Italy
(8)
Scuola di Dottorato, Politecnico di Torino, Torino, Italy

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