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Association of Online Search Trends With Vaccination in the United States: June 2020 Through May 2021
Stagnating COVID-19 vaccination rates and vaccine hesitancy remain a threat to public health. Improved strategies for real-time tracking and estimation of population-level behavior regarding vaccinations are needed. The aim of this study was to evaluate whether online search trends for COIVD-19 and...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066639/ https://www.ncbi.nlm.nih.gov/pubmed/35514956 http://dx.doi.org/10.3389/fimmu.2022.884211 |
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author | Berning, Philipp Huang, Leu Razavi, Alexander C. Boakye, Ellen Osuji, Ngozi Stokes, Andrew C. Martin, Seth S. Ayers, John W. Blaha, Michael J. Dzaye, Omar |
author_facet | Berning, Philipp Huang, Leu Razavi, Alexander C. Boakye, Ellen Osuji, Ngozi Stokes, Andrew C. Martin, Seth S. Ayers, John W. Blaha, Michael J. Dzaye, Omar |
author_sort | Berning, Philipp |
collection | PubMed |
description | Stagnating COVID-19 vaccination rates and vaccine hesitancy remain a threat to public health. Improved strategies for real-time tracking and estimation of population-level behavior regarding vaccinations are needed. The aim of this study was to evaluate whether online search trends for COIVD-19 and influenza mirror vaccination rates. State-level weekly fraction of online searches for top vaccination-related search terms and CDC vaccination data were obtained from June 1, 2020, to May 31, 2021. Next, trends in online search and vaccination data for COVID-19 and influenza were analyzed for visual and quantitative correlation patterns using Spearman’s rank correlation analysis. Online searches in the US for COVID-19 vaccinations increased 2.71-fold (95% CI: 1.98-3.45) in the 4 weeks after the FDA emergency authorization compared to the precedent 4 weeks. In March-April 2021, US online searches reached a plateau that was followed by a decline of 83.3% (95% CI: 31.2%-135.3%) until May 31, 2021. The timing of peaks in online searches varied across US states. Online searches were strongly correlated with vaccination rates (r=0.71, 95% CI: 0.45 - 0.87), preceding actual reported vaccination rates in 44 of 51 states. Online search trends preceded vaccination trends by a median of 3.0 weeks (95% CI: 2.0-4.0 weeks) across all states. For influenza vaccination searches, seasonal peaks in September-October between 2016-2020 were noted. Influenza search trends highly correlated with the timing of actual vaccinations for the 2019-2020 (r=0.82, 95% CI: 0.64 – 0.93) and 2020-2021 season (r=0.91, 95% CI: 0.78 – 0.97). Search trends and real-world vaccination rates are highly correlated. Temporal alignment and correlation levels were higher for influenza vaccinations; however, only online searches for COVID-19 vaccination preceded vaccination trends. These findings indicate that US online search data can potentially guide public health efforts, including policy changes and identifying geographical areas to expand vaccination campaigns. |
format | Online Article Text |
id | pubmed-9066639 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90666392022-05-04 Association of Online Search Trends With Vaccination in the United States: June 2020 Through May 2021 Berning, Philipp Huang, Leu Razavi, Alexander C. Boakye, Ellen Osuji, Ngozi Stokes, Andrew C. Martin, Seth S. Ayers, John W. Blaha, Michael J. Dzaye, Omar Front Immunol Immunology Stagnating COVID-19 vaccination rates and vaccine hesitancy remain a threat to public health. Improved strategies for real-time tracking and estimation of population-level behavior regarding vaccinations are needed. The aim of this study was to evaluate whether online search trends for COIVD-19 and influenza mirror vaccination rates. State-level weekly fraction of online searches for top vaccination-related search terms and CDC vaccination data were obtained from June 1, 2020, to May 31, 2021. Next, trends in online search and vaccination data for COVID-19 and influenza were analyzed for visual and quantitative correlation patterns using Spearman’s rank correlation analysis. Online searches in the US for COVID-19 vaccinations increased 2.71-fold (95% CI: 1.98-3.45) in the 4 weeks after the FDA emergency authorization compared to the precedent 4 weeks. In March-April 2021, US online searches reached a plateau that was followed by a decline of 83.3% (95% CI: 31.2%-135.3%) until May 31, 2021. The timing of peaks in online searches varied across US states. Online searches were strongly correlated with vaccination rates (r=0.71, 95% CI: 0.45 - 0.87), preceding actual reported vaccination rates in 44 of 51 states. Online search trends preceded vaccination trends by a median of 3.0 weeks (95% CI: 2.0-4.0 weeks) across all states. For influenza vaccination searches, seasonal peaks in September-October between 2016-2020 were noted. Influenza search trends highly correlated with the timing of actual vaccinations for the 2019-2020 (r=0.82, 95% CI: 0.64 – 0.93) and 2020-2021 season (r=0.91, 95% CI: 0.78 – 0.97). Search trends and real-world vaccination rates are highly correlated. Temporal alignment and correlation levels were higher for influenza vaccinations; however, only online searches for COVID-19 vaccination preceded vaccination trends. These findings indicate that US online search data can potentially guide public health efforts, including policy changes and identifying geographical areas to expand vaccination campaigns. Frontiers Media S.A. 2022-04-20 /pmc/articles/PMC9066639/ /pubmed/35514956 http://dx.doi.org/10.3389/fimmu.2022.884211 Text en Copyright © 2022 Berning, Huang, Razavi, Boakye, Osuji, Stokes, Martin, Ayers, Blaha and Dzaye https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Berning, Philipp Huang, Leu Razavi, Alexander C. Boakye, Ellen Osuji, Ngozi Stokes, Andrew C. Martin, Seth S. Ayers, John W. Blaha, Michael J. Dzaye, Omar Association of Online Search Trends With Vaccination in the United States: June 2020 Through May 2021 |
title | Association of Online Search Trends With Vaccination in the United States: June 2020 Through May 2021 |
title_full | Association of Online Search Trends With Vaccination in the United States: June 2020 Through May 2021 |
title_fullStr | Association of Online Search Trends With Vaccination in the United States: June 2020 Through May 2021 |
title_full_unstemmed | Association of Online Search Trends With Vaccination in the United States: June 2020 Through May 2021 |
title_short | Association of Online Search Trends With Vaccination in the United States: June 2020 Through May 2021 |
title_sort | association of online search trends with vaccination in the united states: june 2020 through may 2021 |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066639/ https://www.ncbi.nlm.nih.gov/pubmed/35514956 http://dx.doi.org/10.3389/fimmu.2022.884211 |
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