Infodemiology and hearing: analysis of the search behavior of the Brazilian population.
Ademir Antonio Comerlatto Junior, Mariane Perin da Silva Comerlatto, Iris Layane Santos Santana and 4 others
PMID 41124525WHAT IT FOUND
Google searches for hearing loss, dizziness, and tinnitus in Brazil rose significantly over ten years.
Dizziness and tinnitus searches correlated strongly with each other, while both also correlated moderately with hearing loss searches. This reflects public interest, not clinical prevalence.
Key findings
01Search interest for hearing loss showed a moderate upward trend, while dizziness and tinnitus showed strong upward trends over the study period.
02Searches for dizziness and tinnitus were strongly correlated with each other, and both were moderately correlated with searches for hearing loss.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
Read the rest of this summary
You get three full summaries a month, free, and we do not ask for a card. Search, the TL;DRs and your library stay unlimited either way.
What it does not show
Google Trends data reflects search interest, not the actual prevalence or severity of hearing loss, dizziness, or tinnitus in the population. The data only captures searches made on Google, missing those on other search engines or platforms. Search volumes can be influenced by media coverage, public health campaigns, or events unrelated to individual health status, such as the authors' hypothesis regarding COVID-19 discussions. The study does not account for who is searching (patients, family members, or students), nor does it link searches to clinical outcomes.
Declared interests
The authors declared no financial support or conflicts of interest.
The easy way to misread this
Do not interpret rising search volumes as evidence of increasing disease prevalence. The data shows what people are looking for, not necessarily how many are affected, and search behavior can be driven by news cycles or internet access changes rather than health status.
Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →