Evidence map›Paper›PMID 39073868›Full record

ArticleOnline journal of public health informatics2024

Analyzing Google COVID-19 Vaccine Intent Search Trends and Vaccine Readiness in the United States: Panel Data Study.

Kenneth W Moffett, Michael C Marshall, Jae-Eun C Kim, Heather Dahlen, Benjamin Denison, Elissa C Kranzler, Morgan Meaney, Blake Hoffman, Ivica Pavisic, Leah Hoffman

Abstract read
In one paragraph

Article in Online journal of public health informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Kenneth W MoffettFors Marsh, Arlington, VA, United States.ORCID https://orcid.org/0000-0002-8704-3067
Michael C MarshallFors Marsh, Arlington, VA, United States.ORCID https://orcid.org/0000-0002-6130-4150
Jae-Eun C KimFors Marsh, Arlington, VA, United States.ORCID https://orcid.org/0000-0003-4307-0001
Heather DahlenFors Marsh, Arlington, VA, United States.ORCID https://orcid.org/0000-0001-7182-382X
Benjamin DenisonFors Marsh, Arlington, VA, United States.ORCID https://orcid.org/0000-0003-3671-2176
Elissa C KranzlerFors Marsh, Arlington, VA, United States.ORCID https://orcid.org/0000-0003-4492-5817
Morgan MeaneyFors Marsh, Arlington, VA, United States.ORCID https://orcid.org/0009-0007-8793-1527
Blake HoffmanFors Marsh, Arlington, VA, United States.ORCID https://orcid.org/0009-0002-9523-0548
Ivica PavisicFors Marsh, Arlington, VA, United States.ORCID https://orcid.org/0000-0002-9303-3287
Leah HoffmanFors Marsh, Arlington, VA, United States.ORCID https://orcid.org/0000-0002-8153-3866

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFactors such as anxiety, worry, and perceptions of insufficient knowledge about a topic motivate individuals to seek web-based health information to guide their health-related decision-making. These factors converged during the COVID-19 pandemic and were linked to COVID-19 vaccination decision-making. While research shows that web-based search relevant to COVID-19 was associated with subsequent vaccine uptake, less is known about COVID-19 vaccine intent search (which assesses vaccine availability, accessibility, and eligibility) as a signal of vaccine readiness.

objectiveTo increase knowledge about vaccine intent search as a signal of vaccine readiness, we investigated the relationship between COVID-19 vaccine readiness and COVID-19 vaccine intent relative search volume on Google.

methodsWe compiled panel data from several data sources in all US counties between January 2021 and April 2023, a time during which those with primary COVID-19 vaccinations increased from <57,000 to >230 million adults. We estimated a random effects generalized least squares regression model with time-fixed effects to assess the relationship between county-level COVID-19 vaccine readiness and COVID-19 vaccine intent relative search volume. We controlled for health care capacity, per capita COVID-19 cases and vaccination doses administered, and sociodemographic indicators.

resultsThe county-level proportions of unvaccinated adults who reported that they would wait and see before getting a COVID-19 vaccine were positively associated with COVID-19 vaccine intent relative search volume (β=9.123; Z=3.59; P<.001). The county-level proportions of vaccine-enthusiast adults, adults who indicated they were either already vaccinated with a primary COVID-19 vaccine series or planned to complete the vaccine series soon, were negatively associated with COVID-19 vaccine intent relative search volume (β=-10.232; Z=-7.94; P<.001). However, vaccine intent search was higher in counties with high proportions of people who decided to wait and see and lower in counties with high proportions of vaccine enthusiasts.

conclusionsDuring this period of steep increase in COVID-19 vaccination, web-based search may have signaled differences in county-level COVID-19 vaccine readiness. More vaccine intent searches occurred in high wait-and-see counties, whereas fewer vaccine intent searches occurred in high vaccine-enthusiast counties. Considering previous research that identified a relationship between vaccine intent search and subsequent vaccine uptake, these findings suggest that vaccine intent search aligned with people's transition from the wait-and-see stage to the vaccine-enthusiast stage. The findings also suggest that web-based search trends may signal localized changes in information seeking and decision-making antecedent to vaccine uptake. Changes in web-based search trends illuminate opportunities for governments and other organizations to strategically allocate resources to increase vaccine uptake. Resource use is part of the larger public policy decisions that influence vaccine uptake, such as efforts to educate the public during evolving public health crises, including future pandemics.

Indexed as

COVID-19information-seeking behaviorinternet usevaccinationvaccine hesitancy

Identifiers

PMID39073868
PMCPMC11319879

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.