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Authors’ Response to Peer Reviews 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/PMC10414253/ http://dx.doi.org/10.2196/38695 |
| _version_ | 1785087296630947840 |
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| author | Rovetta, Alessandro |
| author_facet | Rovetta, Alessandro |
| author_sort | Rovetta, Alessandro |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10414253 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | JMIR Publications |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-104142532023-09-12 Authors’ Response to Peer Reviews of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis” Rovetta, Alessandro JMIRx Med Authors’ Response to Peer Reviews JMIR Publications 2022-04-19 /pmc/articles/PMC10414253/ http://dx.doi.org/10.2196/38695 Text en ©Alessandro Rovetta. 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 | Authors’ Response to Peer Reviews Rovetta, Alessandro Authors’ Response to Peer Reviews of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis” |
| title | Authors’ Response to Peer Reviews of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis” |
| title_full | Authors’ Response to Peer Reviews of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis” |
| title_fullStr | Authors’ Response to Peer Reviews of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis” |
| title_full_unstemmed | Authors’ Response to Peer Reviews of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis” |
| title_short | Authors’ Response to Peer Reviews of “Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis” |
| title_sort | authors’ response to peer reviews of “google trends as a predictive tool for covid-19 vaccinations in italy: retrospective infodemiological analysis” |
| topic | Authors’ Response to Peer Reviews |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414253/ http://dx.doi.org/10.2196/38695 |
| work_keys_str_mv | AT rovettaalessandro authorsresponsetopeerreviewsofgoogletrendsasapredictivetoolforcovid19vaccinationsinitalyretrospectiveinfodemiologicalanalysis |