Peer Review History

Original SubmissionSeptember 4, 2020
Decision Letter - Thomas Leitner, Editor, Sebastian Funk, Editor

Dear Ms. Charniga,

Thank you very much for submitting your manuscript "Spatial and temporal invasion dynamics of the 2014-2017 Zika and chikungunya epidemics in Colombia" for consideration at PLOS Computational Biology.

As with all papers reviewed by the journal, your manuscript was reviewed by members of the editorial board and by several independent reviewers. In light of the reviews (below this email), we would like to invite the resubmission of a significantly-revised version that takes into account the reviewers' comments.

In particular, Reviewer 1 raises important issues about the robustness results given that only one spatiotemporal model was considered and no comprehensive validation of the inference framework performed. We would expect these to be addressed in a revised version. Moreover, please provide some documentation with the code provided as it is not currently clear what steps need to be taken to reproduce the results presented in the manuscript. Please also refer to the code/data supplement in the main manuscript, as one of the reviewers was not aware that data/code had been provided.

We cannot make any decision about publication until we have seen the revised manuscript and your response to the reviewers' comments. Your revised manuscript is also likely to be sent to reviewers for further evaluation.

When you are ready to resubmit, please upload the following:

[1] A letter containing a detailed list of your responses to the review comments and a description of the changes you have made in the manuscript. Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out.

[2] Two versions of the revised manuscript: one with either highlights or tracked changes denoting where the text has been changed; the other a clean version (uploaded as the manuscript file).

Important additional instructions are given below your reviewer comments.

Please prepare and submit your revised manuscript within 60 days. If you anticipate any delay, please let us know the expected resubmission date by replying to this email. Please note that revised manuscripts received after the 60-day due date may require evaluation and peer review similar to newly submitted manuscripts.

Thank you again for your submission. We hope that our editorial process has been constructive so far, and we welcome your feedback at any time. Please don't hesitate to contact us if you have any questions or comments.

Sincerely,

Sebastian Funk

Guest Editor

PLOS Computational Biology

Thomas Leitner

Deputy Editor

PLOS Computational Biology

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Reviewer's Responses to Questions

Comments to the Authors:

Please note here if the review is uploaded as an attachment.

Reviewer #1: Review is uploaded as an attachment.

Reviewer #2: "What are the main claims of the paper and how significant are they for the discipline?"

The aim of the work is to analyse the invasion and spread of Zika and chikungunya viruses in Colombian cities. To approach the problem the study relies on weekly reported cases of the two arboviruses for each of the cities considered in the study and the application of gravity models. The analysis estimates the geographic origin of both epidemics in the country. Moreover, the results show that the transmission spread is more likely to be driven by short distance transmission and potentialized by large populations, with Zika virus dissemination being faster than chikungunya. The results have a significant impact on the local and national level of surveillance systems and can be aggregated as a guide for future measures prevention and control of the diseases.

"Are these claims novel? If not, which published articles weaken the claims of originality of this one?"

The methodology and hypothesis in the work have been explored for other diseases and in other scenarios, which is well presented in the references provided by the authors. Nevertheless, these results go beyond previous reports, showing new perspectives for the emergence and spread of transmission of ZIKV and CHIKV in Colombia.

"Are the claims properly placed in the context of the previous literature?"

Yes.

"Have the authors treated the literature fairly?"

Discussion would require citation. See additional comments below.

"Do the data and analyses fully support the claims? If not, what other evidence is required?"

Yes.

"Would additional work improve the paper? How much better would the paper be if this work were performed and how difficult would it be to do this work?"

No

"Are original data deposited in appropriate repositories and accession/version numbers provided for genes, proteins, mutants, diseases, etc.?"

No.

"Does the study conform to any relevant guidelines such as CONSORT, MIAME, QUORUM, STROBE, and the Fort Lauderdale agreement?"

Yes.

"Are details of the methodology sufficient to allow the experiments to be reproduced?

Is any software created by the authors freely available?"

The methodology is well explained, however there is no data and code availability to allow reproducibility of the results.

"Is the manuscript well organized and written clearly enough to be accessible to non-specialists?"

Yes

"Does the paper use standardized scientific nomenclature and abbreviations? If not, are these explained at the first usage?"

Yes.

It follows down some additional comments.

Comment 1: The authors must explain the use of the data of dengue fever cases mentioned in the supplementary material.

Comment 2: Does the invasion of ZIKV and CHIKV have any influence caused by the historical dengue virus transmission in the country? Do the hyperendemic cities for DENV have any influence on the delay of invasion by these arboviruses? Is there a possibility to discuss that?

Comment 3: It would be interesting to add a plot (perhaps on supplementary material) of weekly series of cases of ZIKV, CHIKV (and possibly DENV), for the period of study for the country level (or other appropriate regional divisions as desired by the authors).

Comment 4: Is there the possibility to combine Figure 3 in order to better visualize spatial and temporal occurrences of cases (incidence) of the diseases? Is there any situation of a peak of both diseases occurring at the same time and space?

Comment 5: Reference is needed to foment the discussion presented from line 299 to 307. An example can be found in a recent work that analysed misclassification due to the simultaneous co-circulation of DENV, CHIKV, and ZIKV, in Brazil link https://doi.org/10.1371/journal.pone.0228347 .

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Have all data underlying the figures and results presented in the manuscript been provided?

Large-scale datasets should be made available via a public repository as described in the PLOS Computational Biology data availability policy, and numerical data that underlies graphs or summary statistics should be provided in spreadsheet form as supporting information.

Reviewer #1: None

Reviewer #2: No: The methodology is well explained, however there is no data and code availability to allow reproducibility of the results.

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Reviewer #1: No

Reviewer #2: No

Figure Files:

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Attachments
Attachment
Submitted filename: Comments .pdf
Revision 1

Attachments
Attachment
Submitted filename: Peer Review Response Letter FINAL.docx
Decision Letter - Thomas Leitner, Editor, Sebastian Funk, Editor

Dear Ms. Charniga,

We are pleased to inform you that your manuscript 'Spatial and temporal invasion dynamics of the 2014-2017 Zika and chikungunya epidemics in Colombia' has been provisionally accepted for publication in PLOS Computational Biology.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. A member of our team will be in touch with a set of requests.

Please note that your manuscript will not be scheduled for publication until you have made the required changes, so a swift response is appreciated.

IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript.

Should you, your institution's press office or the journal office choose to press release your paper, you will automatically be opted out of early publication. We ask that you notify us now if you or your institution is planning to press release the article. All press must be co-ordinated with PLOS.

Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Computational Biology. 

Best regards,

Sebastian Funk

Guest Editor

PLOS Computational Biology

Thomas Leitner

Deputy Editor

PLOS Computational Biology

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Reviewer's Responses to Questions

Comments to the Authors:

Please note here if the review is uploaded as an attachment.

Reviewer #1: The authors have done an impressive amount of work to revise their manuscript. They have satisfied the concerns that I had, particularly around the choice of mobility model and the need for simulation studies to validate their method.

My only reservation of the method is its inability to explain the lack of invasion of Zika in some administrative units. However, I believe that the authors have provided sufficient discussion of this limitation. It may be that a more complicated model structure that allowed transmission rates to vary across locations would be needed to fully explain the data. However, I think that by conditioning on the locations that had an invasion during the study period, the analysis is appropriate.

Reviewer #2: The answers are satisfactory.

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Have the authors made all data and (if applicable) computational code underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data and code underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data and code should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data or code —e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

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PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

Formally Accepted
Acceptance Letter - Thomas Leitner, Editor, Sebastian Funk, Editor

PCOMPBIOL-D-20-01607R1

Spatial and temporal invasion dynamics of the 2014-2017 Zika and chikungunya epidemics in Colombia

Dear Dr Charniga,

I am pleased to inform you that your manuscript has been formally accepted for publication in PLOS Computational Biology. Your manuscript is now with our production department and you will be notified of the publication date in due course.

The corresponding author will soon be receiving a typeset proof for review, to ensure errors have not been introduced during production. Please review the PDF proof of your manuscript carefully, as this is the last chance to correct any errors. Please note that major changes, or those which affect the scientific understanding of the work, will likely cause delays to the publication date of your manuscript.

Soon after your final files are uploaded, unless you have opted out, the early version of your manuscript will be published online. The date of the early version will be your article's publication date. The final article will be published to the same URL, and all versions of the paper will be accessible to readers.

Thank you again for supporting PLOS Computational Biology and open-access publishing. We are looking forward to publishing your work!

With kind regards,

Zsofi Zombor

PLOS Computational Biology | Carlyle House, Carlyle Road, Cambridge CB4 3DN | United Kingdom ploscompbiol@plos.org | Phone +44 (0) 1223-442824 | ploscompbiol.org | @PLOSCompBiol

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