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Articles Published Processes
5/19/2022 12:49:59 AM | Browse: 369 | Download: 1159
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Received |
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2021-11-23 15:42 |
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Peer-Review Started |
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2021-11-23 15:44 |
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To Make the First Decision |
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Return for Revision |
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2022-02-08 10:22 |
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Revised |
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2022-02-11 14:15 |
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Second Decision |
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2022-03-18 06:18 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-03-27 06:29 |
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Articles in Press |
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2022-03-27 06:29 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2022-03-15 10:39 |
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Typeset the Manuscript |
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2022-04-15 02:38 |
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Publish the Manuscript Online |
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2022-05-19 00:49 |
ISSN |
2222-0682 (online) |
Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
Copyright |
©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Endocrinology & Metabolism |
Manuscript Type |
Clinical and Translational Research |
Article Title |
COVID-19 and thyroid disease: An infodemiological pilot study
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Manuscript Source |
Invited Manuscript |
All Author List |
Ioannis Ilias, Charalampos Milionis and Eftychia Koukkou |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Ioannis Ilias, MD, PhD, Consultant Physician-Scientist, Department of Endocrinology, Diabetes & Metabolism, Elena Venizelou Hospital, 2, Elena Venizelou Sq., Athens GR-11521, Greece. iiliasmd@yahoo.com |
Key Words |
Data collection; Epidemiology; Thyroid; Medical informatics; Methods; Trends |
Core Tip |
Google Trends searches for coronavirus disease 2019 (COVID-19)-associated terms have been linked to the epidemiology of COVID-19. In this study we aimed to assess worldwide COVID-19 cases per se vs COVID-19-associated Google Trends searches and thyroid-associated Google Trends searches for 92 wk. The study period was split in half and in each time period we performed cross-correlation analysis and mediation analysis. Significant cross correlation function factors for “COVID-19” and “severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)” were mostly found in the second time period, whereas COVID-19 cases per se were associated with “thyroid” searches in both time periods. In the second time period, which was characterized by the spread of SARS-CoV-2 delta variant, the effect of “COVID-19” searches on “thyroid” searches was significantly mediated by COVID-19 cases (P = 0.048). The observed time frame/sequence lends some credence to associations of COVID-19 cases per se with (apparent) thyroid disease. |
Publish Date |
2022-05-19 00:49 |
Citation |
Ilias I, Milionis C, Koukkou E. COVID-19 and thyroid disease: An infodemiological pilot study. World J Methodol 2022; 12(3): 99-106 |
URL |
https://www.wjgnet.com/2222-0682/full/v12/i3/99.htm |
DOI |
https://dx.doi.org/10.5662/wjm.v12.i3.99 |
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