Adherence to COVID-19 preventive practice and associated factors among pregnant women in Gondar city, northwest Ethiopia, 2021: Community-based cross-sectional study

Wubedle Zelalem Temesgan; Mastewal Belayneh Aklil; Henok Solomon Yacob; Esubalew Tsega Mekonnen; Elias Derso Tegegne; Esubalew Binega Tesfa; Eshetie Melkie Melese; Tewodros Seyoum

doi:10.1371/journal.pone.0264237

Peer Review History

Original SubmissionDecember 27, 2021
25 Jan 2022 Decision Letter - Sanjay Kumar Singh Patel, Editor PONE-D-21-40668Adherence with COVID-19 preventive practice and associated factors among pregnant women in Gondar city, northwest Ethiopia, 2021: Community based cross -sectional studyPLOS ONE Dear Dr. Temesgan, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. Please submit your revised manuscript by Mar 11 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. 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Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ******** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ****** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data 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 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—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ****** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ****** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: I think that it is very important to study the adherence to the preventive protocols, mainly for pregnants in Africa. I would recommend to correctly call a model with only one explanatory variable as simple logistic regression model. A model with more than one explanatory variable is a multiple logistic regression model. It is wrong to call as bivariable (or bivariate) and multivariable or multivariable. I proposed few minor corrections in the .pdf appended file. Reviewer #2: In this paper entitled "Adherence with COVID-19 preventive practice and associated factors among pregnant women in Gondar city, northwest Ethiopia, 2021: Community-based cross-sectional study", the authors investigated the obedience with COVID-19 preventive practices and associated factors among pregnant women. This study is unique because it selected 678 pregnant women during the community-based cross-sectional survey and analyzed the data with rigorous statistics. Moreover, pregnant women are at risk during the pandemic due to physiological reasons. Also, pregnant women are generally excluded from any COVID research and not given vaccines. So this study provided a glimpse of how COVID-19 preventive practices are practiced by pregnant women in Gondar City, North Ethiopia. The manuscript is fascinating and easy to understand. However, there are a few problems in the manuscript. Minor Comments: 1) A cross-sectional survey of 678 pregnant women in Gondar city can't corroborate the practice practiced by Ethiopia's whole pregnant women population. Mention this in the limitation of the study section. 2) Introduction: The authors should provide information like mortality rate, incubation, various initial prevention approaches, and diet and natural biomolecules for improving immunity and health (doi: 10.1007/s12088-020-00908-0). 3) In the introduction, minor information on the variants of COVID-19 and their future challenges can be included i.e. doi: 10.1007/s15010-021-01734-2. 3) At least one additional Figure (illustration) may be provided to highlight this study's summary or prospect. Reviewer #3: The manuscript is well written, and it can be accepted after the minor revision. Please find my comments below. 1. Please provide some information on the effect of diet to boost the immunity of pregnant woman towards the treatment of Covid-19 and their variant in the discussion section and the following paper may be followed and cited; Indian Journal of Microbiology, 2020, volume 60, pages 420–429. 2. I would recommend few more figure to describe your explanations instead of tables. ******** [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment 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. Registration is free. 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 PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. Attachments Attachment Submitted filename: PONE-D-21-40668_reviewer.pdf.pdf https://doi.org/10.1371/journal.pone.0264237.r001
Revision 1
31 Jan 2022 Author Response Response to Reviewers Date: 31/1/2022 PLOSS ONE Manuscript number: PONE-D- 21-40668 We would like to say thank you for giving us the opportunity to submit a revised draft of our manuscript titled “Adherence with COVID-19 preventive practice and associated factors among pregnant women in Gondar city, northwest Ethiopia, 2021: Community-based cross-sectional study”. We appreciate the time and effort that you have dedicated to provide your valuable feedback on our manuscript. We are grateful to the entire editorial team and peer reviewers for their insightful comments on our paper. We have been able to incorporate changes to reflect most of the suggestions provided by the reviewer. Here is a point-by-point response to specific comments and concerns. Academic Editor’s comments and concerns 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. Response: Thank you, dear editor, we kindly accepted your request and we did that in the revised manuscript. 2. If you did not receive any funding for this study, please state: “The authors received no specific funding for this work.” Response: Thank you, dear editor, we kindly accepted your request and we have corrected in the revised manuscript as “the authors received no specific funding for this work”. Please see the tack change in the revised manuscript. 3. PLOS requires an ORCID iD for the corresponding author in Editorial Manager on papers submitted after December 6th, 2016. Please ensure that you have an ORCID iD and that it is validated in Editorial Manager. Response: Thank you for pointing this out, I have already created an ORCID id 4. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available Response: Thank you very much. We have uploaded the minimal data set as supporting information when we submitted the manuscript. If it is necessary, we have uploaded it again as S1 English version questionnaire and S1 Dataset. 5. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Response: Thank you, dear editor, we kindly accepted your request and we have checked all listed references and all are complete, correct and there is no retracted paper. Reviewer #1 1.I would recommend to correctly call a model with only one explanatory variable as simple logistic regression model. A model with more than one explanatory variable is a multiple logistic regression model. It is wrong to call as bivariable (or bivariate) and multivariable or multivariable. Response: Thank you, dear reviewer, for your thoughtful concern. As we tried to review evidence, a multiple or multivariable logistic regression model is a model with more than one explanatory variable with a single binary outcome and we can use interchangeably. However, multivariate implies a statistical analysis with multiple outcomes. Please kindly visit the following articles: 1: Distinction between Two Statistical Terms: Multivariable and Multivariate Logistic Regression: doi:10.1093/ntr/ntaa055. 2: Multivariable Analysis in Cerebrovascular Research: Practical Notes for the Clinician: DOI: 10.1159/000345491 2.I proposed few minor corrections in the .pdf appended file. Response: Thank you, as per your kind recommendation, we tried to correct in the revised manuscript. Please kindly see the track changes. Reviewer#2 MinorComments: 1) A cross-sectional survey of 678 pregnant women in Gondar city can't corroborate the practice practiced by Ethiopia's whole pregnant women population. Mention this in the limitation of the studysection. Response: Thank you, dear reviewer, for your thoughtful concern. We knew that the limitations of the study are those characteristics of design or methodology that impacted or influenced the application or interpretation of the results of the study. Our study finding is generalized to the source population (all pregnant women in Gondar city). But, it is not generalized to Ethiopia's whole pregnant women population. So this not our study limitation. 2) Introduction: The authors should provide information like mortality rate, incubation, various initial prevention approaches, and diet and natural biomolecules for improving immunity and health (doi: 10.1007/s12088-020-00908-0). Response: The authors would like to thank you for your constructive and helpful feedback. Comment accepted and corrected accordingly. Please kindly see the revised version. 3) In the introduction, minor information on the variants of COVID-19 and their future challenges can be included i.e. doi: 10.1007/s15010-021-01734-2. Response: Thank you for your constructive and helpful feedback. Comment accepted and corrected accordingly. please kindly see the track change. 3) At least one additional Figure (illustration) may be provided to highlight this study's summary or prospect. Response: Thank you for your suggestion. We have agreed with your suggestion and corrected in the revised manuscript. Please kindly see the revised manuscript. Reviewer #3: 1. Please provide some information on the effect of diet to boost the immunity of pregnant woman towards the treatment of Covid-19 and their variant in the discussion section and the following paper may be followed and cited; Indian Journal of Microbiology, 2020, volume 60, pages 420–429. Response: Thank you for your constructive and helpful feedback. Comment accepted and we incorporate it in the introduction section by considering it is the ideal section . Please kindly see the track change. 2. I would recommend few more figure to describe your explanations instead of tables. Response: Thank you, dear reviewer, we have amended it accordingly. Please kindly see the revised manuscript. Best regards! Wubedle Zelalem Temesgan Attachments Attachment Submitted filename: Response to Reviewers.docx https://doi.org/10.1371/journal.pone.0264237.r002
7 Feb 2022 Decision Letter - Sanjay Kumar Singh Patel, Editor Adherence to COVID-19 preventive practice and associated factors among pregnant women in Gondar city, northwest Ethiopia, 2021: Community-based cross-sectional study PONE-D-21-40668R1 Dear Dr. Temesgan, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Sanjay Kumar Singh Patel, Ph.D. Academic Editor PLOS ONE https://doi.org/10.1371/journal.pone.0264237.r003
Formally Accepted
11 Feb 2022 Acceptance Letter - Sanjay Kumar Singh Patel, Editor PONE-D-21-40668R1 Adherence to COVID-19 preventive practice and associated factors among pregnant women in Gondar city, northwest Ethiopia, 2021: Community-based cross-sectional study Dear Dr. Temesgan: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Sanjay Kumar Singh Patel Academic Editor PLOS ONE https://doi.org/10.1371/journal.pone.0264237.r004

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