Peer Review History
| Original SubmissionMay 15, 2020 |
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Dear Prof. Wang, Thank you very much for submitting your manuscript "Identifying the outbreak signal of COVID-19 before the response of traditional disease monitoring system" for consideration at PLOS Neglected Tropical Diseases. 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. 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, Abdallah M. Samy, PhD Deputy Editor PLOS Neglected Tropical Diseases *********************** Reviewer's Responses to Questions Key Review Criteria Required for Acceptance? As you describe the new analyses required for acceptance, please consider the following: Methods -Are the objectives of the study clearly articulated with a clear testable hypothesis stated? -Is the study design appropriate to address the stated objectives? -Is the population clearly described and appropriate for the hypothesis being tested? -Is the sample size sufficient to ensure adequate power to address the hypothesis being tested? -Were correct statistical analysis used to support conclusions? -Are there concerns about ethical or regulatory requirements being met? Reviewer #1: 1. How can the confounding factors be controlled for "the Baidu search engine (http://index.baidu.com/v2/#/) to analyze Baidu Index for the keywords of “pneumonia” and “SARS” being searched from 1 November, 2019, to 1 February, 2020. " ? 2.Please show the approved documents for the ethical approval. Reviewer #2: 1. Please confirm that most of the important literature has been included in the paper. 2. The analysis are mainly descriptive, and the authors need to use statistical testing to come to the conclusion if possible. 3. This study is an aggregation analysis, and only need a exemption approval of ethics. -------------------- Results -Does the analysis presented match the analysis plan? -Are the results clearly and completely presented? -Are the figures (Tables, Images) of sufficient quality for clarity? Reviewer #1: (No Response) Reviewer #2: 1. The analysis are reasonable. Is there possbility to analysis the spatial correlation of ILI and COVID-19? The current correlation may not be enough to support the conclusions. 2.The correlation of ILI and COVID-19 may be from a co-occurring event, that is the two events may be occur simultaneously with seasonality, meaning that the next peak of ILI might not be a good signal of COVID-19. 3. Does the Figure 1A completed by the author my themselves? Otherwise they need to declare the information and cite. -------------------- Conclusions -Are the conclusions supported by the data presented? -Are the limitations of analysis clearly described? -Do the authors discuss how these data can be helpful to advance our understanding of the topic under study? -Is public health relevance addressed? Reviewer #1: How can these abnormal and rapid increase in the number of influenza cases be related to COVID-19, why not other infectious diseases? Reviewer #2: Conclusion need to be more specific and give detailed information of the measures we can taken to detect the epidemics. -------------------- Editorial and Data Presentation Modifications? Use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity. If the only modifications needed are minor and/or editorial, you may wish to recommend “Minor Revision” or “Accept”. Reviewer #1: (No Response) Reviewer #2: (No Response) -------------------- Summary and General Comments Use this section to provide overall comments, discuss strengths/weaknesses of the study, novelty, significance, general execution and scholarship. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. If requesting major revision, please articulate the new experiments that are needed. Reviewer #1: (No Response) Reviewer #2: This paper performed a comparative study to discuss the feasibility of early warning of the outbreak of COVID-19 in China based on the influenza surveillance data and internet Baidu search index to evaluate the timelines of the alert signals in comparison with the traditional case reporting system and official response, and suggested that monitoring abnormal spike of influenza like cases or identifying online search peak of key terms could provide early signals of novel emerging infectious disease outbreak. overall this paper provided very useful information about the early detection of COVID-19 epidemics. However, because of the lack of detailed analysis and specific conclusion, the authors need to put more further analysis in the manuscript inorder to have a high impact for the academic prority. -------------------- 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 Figure Files: While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Data Requirements: Please note that, as a condition of publication, PLOS' data policy requires that you make available all data used to draw the conclusions outlined in your manuscript. Data must be deposited in an appropriate repository, included within the body of the manuscript, or uploaded as supporting information. This includes all numerical values that were used to generate graphs, histograms etc.. For an example see here: http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001908#s5. Reproducibility: To enhance the reproducibility of your results, PLOS recommends that you deposit laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. For instructions see https://journals.plos.org/plosntds/s/submission-guidelines#loc-methods |
| Revision 1 |
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Dear Prof. Wang, We are pleased to inform you that your manuscript 'Identifying the outbreak signal of COVID-19 before the response of the traditional disease monitoring system' has been provisionally accepted for publication in PLOS Neglected Tropical Diseases. 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 Neglected Tropical Diseases. Best regards, Abdallah M. Samy, PhD Deputy Editor PLOS Neglected Tropical Diseases |
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