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Peer Review of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis”
Autor principal: | |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414316/ http://dx.doi.org/10.2196/38665 |
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author | Strzelecki, Artur |
author_facet | Strzelecki, Artur |
author_sort | Strzelecki, Artur |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-10414316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-104143162023-09-12 Peer Review of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis” Strzelecki, Artur JMIRx Med Peer-Review Report JMIR Publications 2022-04-19 /pmc/articles/PMC10414316/ http://dx.doi.org/10.2196/38665 Text en ©Artur Strzelecki. 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 Strzelecki, Artur 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/PMC10414316/ http://dx.doi.org/10.2196/38665 |
work_keys_str_mv | AT strzeleckiartur peerreviewofgoogletrendsasapredictivetoolforcovid19vaccinationsinitalyretrospectiveinfodemiologicalanalysis |