Peer Review of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”

Detalles Bibliográficos
Autor principal: Chang, Angela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Peer-Review Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414447/
http://dx.doi.org/10.2196/38726
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author Chang, Angela
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spelling pubmed-104144472023-09-12 Peer Review of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis” Chang, Angela JMIRx Med Peer-Review Report JMIR Publications 2022-04-19 /pmc/articles/PMC10414447/ http://dx.doi.org/10.2196/38726 Text en ©Angela Chang. Originally published in JMIRx Med (https://med.jmirx.org), 19.04.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIRx Med, is properly cited. The complete bibliographic information, a link to the original publication on https://med.jmirx.org/, as well as this copyright and license information must be included.
spellingShingle Peer-Review Report
Chang, Angela
Peer Review of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”
title Peer Review of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”
title_full Peer Review of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”
title_fullStr Peer Review of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”
title_full_unstemmed Peer Review of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”
title_short Peer Review of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”
title_sort peer review of “google trends as a predictive tool for covid-19 vaccinations in italy: retrospective infodemiological analysis”
topic Peer-Review Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414447/
http://dx.doi.org/10.2196/38726
work_keys_str_mv AT changangela peerreviewofgoogletrendsasapredictivetoolforcovid19vaccinationsinitalyretrospectiveinfodemiologicalanalysis

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