PONE-D-23-09622Predicting childhood vaccination among children aged 12-23 months in Ethiopia: Using machine learning algorithmsPLOS ONE

Dear Dr. Addisalem Workie Demsash

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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5. Review Comments to the Author

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Reviewer #1: This type of methodological modeling research in operational research is not as such common and I appreciate the authors to come up with such insightful new approach.

Few concerns and suggestion for the authors: Q1? It was better if you make the presentation those statistical modelling easier for all readers to read.

Q2? Through this machine learning algorithms approach of identifying predictors of child vaccination, what are new from the usual operatonal research approach

Reviewer #2: Review Reports

Title: Predicting childhood vaccination among children aged 12-23 months in Ethiopia: Using machine learning algorithms

Manuscript ID: PONE-D-23-09622

Review Comments

� Are you predicting vaccination uptake or whether the children have taken vaccinations? Or the outcome of the vaccinations? Why do we predict? Is there no other means to gain this data?

� The abstract section needs major revision E.g., Mixed reporting in the methods and result section and the key terms are incomplete

� Which model was used? It is inconsistent in the methods and results section.

� Shorten and add efforts made for improving vaccination in Ethiopia?

� The study area is NOT referenced.

� In the operational definitions try to be specific E.g., is that access to media or use of the medias?

� In the model building section appropriate references are lacking

� You can rewrite “Children’s and mothers’ characteristics” for example as “Socio-demographic Characteristics of Children’s and mothers” and avoid inconsistency e.g., basic characteristics….

� The tables and figures are not self-explanatory. In addition, the figure is not referenced

� Try to see this sentence again “This might be because some vaccines such as, BCG and OPV 0 are often 460 given immediately after birth at health facilities [70].” With the percentage of institutional delivery. Similarly, try to revisit “household head 491 was female” because it is very law and is associated with your statistical efficiency.

� The result section needs brief revision.

� The discussion section is inadequately discussed and reasoned out.

� The recommendations and the conclusions should be context based and practical.

� For your research carrier try to do with others/team which is one component of professionalism

Regards,

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Reviewer #1: Yes: Abebe Sorsa

Reviewer #2: No

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Attachments

Attachment

Submitted filename: PONE-D-23-09622.pdf

Machine learning algorithms’ Application to predict childhood vaccination among children aged 12-23 Months in Ethiopia: Evidence 2016 Ethiopian Demographic and Health Survey Dataset

PONE-D-23-09622R1

Dear Dr. Demsash Addisalem Workie 

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.

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Kind regards,

Engidaw Fentahun Enyew, MSc

Academic Editor

PLOS ONE

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