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Accepted for/Published in: JMIRx Med

Date Submitted: Apr 12, 2022
Date Accepted: Apr 12, 2022

The final, peer-reviewed published version of this preprint can be found here:

Authors’ Response to Peer Reviews of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”

Rovetta A

Authors’ Response to Peer Reviews of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”

JMIRx Med 2022;3(2):e38695

DOI: 10.2196/38695

PMCID: 10414253

Author Response to Peer Review Report for ms# 35356 "Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: A Retrospective Infodemiological Analysis"

  • Alessandro Rovetta

ABSTRACT

This is the author response to peer review reports related to ms#35356.


 Citation

Please cite as:

Rovetta A

Authors’ Response to Peer Reviews of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”

JMIRx Med 2022;3(2):e38695

DOI: 10.2196/38695

PMCID: 10414253

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.