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

Bibliographic Details
Main Author: Artur Strzelecki
Format: Article
Language:English
Published: JMIR Publications 2022-04-01
Series:JMIRx Med
Online Access:https://med.jmirx.org/2022/2/e38665
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author Artur Strzelecki
author_facet Artur Strzelecki
author_sort Artur Strzelecki
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spelling doaj.art-adcf13aa01034d418415cc37b53e6ae52024-02-03T04:55:22ZengJMIR PublicationsJMIRx Med2563-63162022-04-0132e3866510.2196/38665Peer Review of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”Artur Strzeleckihttps://orcid.org/0000-0003-3487-0971 https://med.jmirx.org/2022/2/e38665
spellingShingle Artur Strzelecki
Peer Review of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”
JMIRx Med
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
url https://med.jmirx.org/2022/2/e38665
work_keys_str_mv AT arturstrzelecki peerreviewofgoogletrendsasapredictivetoolforcovid19vaccinationsinitalyretrospectiveinfodemiologicalanalysis