ArticleBrain, behavior, & immunity - health2022
Representation of long COVID syndrome in the awareness of the population is revealed by Google Trends analysis.
Article in Brain, behavior, & immunity - health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Excess risks of long COVID symptoms compared with identical symptoms in the general population: A systematic review and meta-analysis of studies with control groups.Journal of global health · 2024Pooled it
- Limited Awareness of Long COVID Despite Common Experience of Symptoms Among African American/Black, Hispanic/Latino, and Indigenous Adults in Arizona.Journal of racial and ethnic health disparities · 2025Article
- Too much focus on your health might be bad for your health: Reddit user's communication style predicts their Long COVID likelihood.PloS one · 2024Article
- Maximum generable interest: A universal standard for Google Trends search queries.Healthcare analytics (New York, N.Y.) · 2023Article
- "It was almost like it's set up for people to fail" A qualitative analysis of experiences and unmet supportive needs of people with Long COVID.BMC public health · 2023Article
- Article
- Can Google Trends analysis confirm the public's need for information about the rare association of facial nerve paralysis with COVID-19 or the COVID-19 vaccination?Revue neurologique · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In some COVID-19 patients, symptoms persist for several weeks and sometimes, after the acute disease phase, these patients develop new symptoms, which then represents a transition into the so-called long COVID. The exact demarcation of the terms and generally applicable definitions are still discussed, but the phenomenon is most commonly referred to as long COVID. In this study, Google Trends data have been used to track levels of public awareness for long COVID and some important symptoms during the course of the COVID-19 pandemic. The results of this analysis clearly demonstrate the public interest in the new topic of long COVID, as documented by a corresponding search volume. This is related to the disease COVID-19, which is being spread by the corona pandemic. Relevant symptoms for COVID-19 or long COVID, for example ageusia and anosmia, only started to receive more public attention during the pandemic. Therefore, Google Trends is a useful tool to demonstrate the population's awareness of certain infodemiological topics like long COVID.
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What OpenQuestion holds
Registered trials
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.