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Utilizing Google trends to monitor coronavirus vaccine interest and hesitancies

INTRODUCTION: Vaccine hesitancy remains a serious challenge for ending the coronavirus disease 2019 (COVID-19) pandemic. Digital media has played an immense role in the spread of information during the pandemic. One method to gauge public interest in COVID-19 related information is to examine patter...

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Detalles Bibliográficos
Autores principales: Merrick, Emily, Weissman, Joshua P., Patel, Sameer J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9149202/
https://www.ncbi.nlm.nih.gov/pubmed/35660035
http://dx.doi.org/10.1016/j.vaccine.2022.05.070
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author Merrick, Emily
Weissman, Joshua P.
Patel, Sameer J.
author_facet Merrick, Emily
Weissman, Joshua P.
Patel, Sameer J.
author_sort Merrick, Emily
collection PubMed
description INTRODUCTION: Vaccine hesitancy remains a serious challenge for ending the coronavirus disease 2019 (COVID-19) pandemic. Digital media has played an immense role in the spread of information during the pandemic. One method to gauge public interest in COVID-19 related information is to examine patterns of online search queries. METHODS: Google Trends (GT) was used to analyze results for search terms relating to COVID-19 vaccine misinformation, information, and accessibility from October 1st, 2020 to May 27th, 2021. GT allows you to compare multiple queries at one time. The resultant relative search volumes (RSVs) range from 0 to 100. The search term and point in time on the graph that has the greatest search volume is given a score of 100 and all other terms and times are given values relative to that maximum. Search interest peaks were analyzed by subgroups (misinformation, information seeking, and access seeking) and across key time points throughout the pandemic. RESULTS: GT analysis revealed that search interest related to vaccine misinformation, general information, and access seeking changed in relation to events taking place throughout the pandemic. The most commonly searched terms in each subgroup were: “Covid vaccine infertility”, “Covid vaccine side effects”, and “Covid vaccine appointment”. Searches related to misinformation peaked in December 2020. Search terms in the general information category peaked in April 2021. RSVs for access seeking terms peaked in March 2021 and have decreased since April 2021. CONCLUSION: Misinformation RSVs were highest after FDA authorization and have multiple repeated spikes after subsequent vaccine announcements. General information seeking terms peaked concurrently with increased vaccination uptake in the United States. Search interest has decreased with wider vaccine availability, despite many individuals in the United States remaining unvaccinated. GT can be used to monitor trends in public attitudes and misinformation regarding COVID-19 vaccines and further target education.
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spelling pubmed-91492022022-05-31 Utilizing Google trends to monitor coronavirus vaccine interest and hesitancies Merrick, Emily Weissman, Joshua P. Patel, Sameer J. Vaccine Article INTRODUCTION: Vaccine hesitancy remains a serious challenge for ending the coronavirus disease 2019 (COVID-19) pandemic. Digital media has played an immense role in the spread of information during the pandemic. One method to gauge public interest in COVID-19 related information is to examine patterns of online search queries. METHODS: Google Trends (GT) was used to analyze results for search terms relating to COVID-19 vaccine misinformation, information, and accessibility from October 1st, 2020 to May 27th, 2021. GT allows you to compare multiple queries at one time. The resultant relative search volumes (RSVs) range from 0 to 100. The search term and point in time on the graph that has the greatest search volume is given a score of 100 and all other terms and times are given values relative to that maximum. Search interest peaks were analyzed by subgroups (misinformation, information seeking, and access seeking) and across key time points throughout the pandemic. RESULTS: GT analysis revealed that search interest related to vaccine misinformation, general information, and access seeking changed in relation to events taking place throughout the pandemic. The most commonly searched terms in each subgroup were: “Covid vaccine infertility”, “Covid vaccine side effects”, and “Covid vaccine appointment”. Searches related to misinformation peaked in December 2020. Search terms in the general information category peaked in April 2021. RSVs for access seeking terms peaked in March 2021 and have decreased since April 2021. CONCLUSION: Misinformation RSVs were highest after FDA authorization and have multiple repeated spikes after subsequent vaccine announcements. General information seeking terms peaked concurrently with increased vaccination uptake in the United States. Search interest has decreased with wider vaccine availability, despite many individuals in the United States remaining unvaccinated. GT can be used to monitor trends in public attitudes and misinformation regarding COVID-19 vaccines and further target education. Elsevier Ltd. 2022-06-26 2022-05-30 /pmc/articles/PMC9149202/ /pubmed/35660035 http://dx.doi.org/10.1016/j.vaccine.2022.05.070 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Merrick, Emily
Weissman, Joshua P.
Patel, Sameer J.
Utilizing Google trends to monitor coronavirus vaccine interest and hesitancies
title Utilizing Google trends to monitor coronavirus vaccine interest and hesitancies
title_full Utilizing Google trends to monitor coronavirus vaccine interest and hesitancies
title_fullStr Utilizing Google trends to monitor coronavirus vaccine interest and hesitancies
title_full_unstemmed Utilizing Google trends to monitor coronavirus vaccine interest and hesitancies
title_short Utilizing Google trends to monitor coronavirus vaccine interest and hesitancies
title_sort utilizing google trends to monitor coronavirus vaccine interest and hesitancies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9149202/
https://www.ncbi.nlm.nih.gov/pubmed/35660035
http://dx.doi.org/10.1016/j.vaccine.2022.05.070
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