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About:
Fluctuation of Public Interest in COVID-19 in the United States: Retrospective Analysis of Google Trends Search Data
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research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
Fluctuation of Public Interest in COVID-19 in the United States: Retrospective Analysis of Google Trends Search Data
Creator
Mavragani, Amaryllis
Eysenbach, Gunther
Briggs, Blake
Cline, David
Countryman, Chase
Gilmore, Scott
Husain, Iltifat
K., Mikołaj
Lefebvre, Cedric
O'Brien, Mary
Stopyra, Jason
Vaithi, Ramupriya
source
Medline; PMC
abstract
BACKGROUND: In the absence of vaccines and established treatments, nonpharmaceutical interventions (NPIs) are fundamental tools to control coronavirus disease (COVID-19) transmission. NPIs require public interest to be successful. In the United States, there is a lack of published research on the factors that influence public interest in COVID-19. Using Google Trends, we examined the US level of public interest in COVID-19 and how it correlated to testing and with other countries. OBJECTIVE: The aim of this study was to determine how public interest in COVID-19 in the United States changed over time and the key factors that drove this change, such as testing. US public interest in COVID-19 was compared to that in countries that have been more successful in their containment and mitigation strategies. METHODS: In this retrospective study, Google Trends was used to analyze the volume of internet searches within the United States relating to COVID-19, focusing on dates between December 31, 2019, and March 24, 2020. The volume of internet searches related to COVID-19 was compared to that in other countries. RESULTS: Throughout January and February 2020, there was limited search interest in COVID-19 within the United States. Interest declined for the first 21 days of February. A similar decline was seen in geographical regions that were later found to be experiencing undetected community transmission in February. Between March 9 and March 12, 2020, there was a rapid rise in search interest. This rise in search interest was positively correlated with the rise of positive tests for SARS-CoV-2 (6.3, 95% CI −2.9 to 9.7; P<.001). Within the United States, it took 52 days for search interest to rise substantially after the first positive case; in countries with more successful outbreak control, search interest rose in less than 15 days. CONCLUSIONS: Containment and mitigation strategies require public interest to be successful. The initial level of COVID-19 public interest in the United States was limited and even decreased during a time when containment and mitigation strategies were being established. A lack of public interest in COVID-19 existed in the United States when containment and mitigation policies were in place. Based on our analysis, it is clear that US policy makers need to develop novel methods of communicating COVID-19 public health initiatives.
has issue date
2020-07-17
(
xsd:dateTime
)
bibo:doi
10.2196/19969
bibo:pmid
32501806
has license
cc-by
schema:url
https://doi.org/10.2196/19969
resource representing a document's title
Fluctuation of Public Interest in COVID-19 in the United States: Retrospective Analysis of Google Trends Search Data
has PubMed Central identifier
PMC7371405
has PubMed identifier
32501806
schema:publication
JMIR Public Health Surveill
resource representing a document's body
covid:PMC7371405#body_text
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schema:about
of
named entity 'COVID-19 in the United States'
named entity 'coronavirus'
named entity 'Hong Kong'
named entity 'Pearson coefficient'
named entity 'Google Trends'
named entity 'NBA'
named entity 'COVID'
named entity 'President of the United States'
named entity 'severe acute respiratory syndrome coronavirus'
named entity 'coronavirus'
named entity 'coronavirus'
named entity 'Republic of Korea'
named entity 'United States'
named entity 'infodemiology'
named entity 'Google Trends'
named entity 'SARS-CoV'
named entity 'quarantine'
named entity 'social distancing'
named entity 'Google Trends'
named entity 'COVID-19'
named entity 'Google Trends'
named entity 'Diamond Princess'
named entity 'data set'
named entity 'COVID'
named entity 'Tom Hanks'
named entity 'COVID-19'
named entity 'COVID-19'
named entity 'CDC'
named entity '95% CI'
named entity 'SARS'
named entity 'data set'
named entity 'Singapore'
named entity 'Seattle'
named entity 'COVID'
named entity 'coronavirus'
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named entity 'Seattle'
named entity 'CDC'
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named entity 'United States'
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named entity 'United States'
named entity 'Singapore'
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named entity 'Tacoma'
named entity 'coronavirus'
named entity 'Tom Hanks'
named entity 'SARS-CoV-2'
named entity 'Google'
named entity 'coronavirus'
named entity 'medical facilities'
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named entity 'Republic of Korea'
named entity 'vaccine'
named entity 'Google'
named entity 'Singapore'
named entity 'confidence intervals'
named entity 'pneumonia'
named entity 'COVID'
named entity 'John F. Kennedy International Airport'
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named entity '28 days'
named entity 'United States'
named entity 'SARS'
named entity 'United States'
named entity 'coronavirus'
named entity 'Los Angeles'
named entity 'social media'
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