2020
DOI: 10.3390/ijerph17030954
|View full text |Cite
|
Sign up to set email alerts
|

“Dr. Google, I am in Pain”—Global Internet Searches Associated with Pain: A Retrospective Analysis of Google Trends Data

Abstract: We aimed to rank the most common locations of pain among Google users globally and locally and analyze secular and seasonal trends in pain-related searches in the years 2004–2019. We used data generated by Google Trends (GT) to identify and analyze global interest in topics (n = 24) related to locations of pain and how these progressed over time. We analyzed secular trends and time series decomposition to identify seasonal variations. We also calculated the interest in all topics with reference to the relative… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
25
0
4

Year Published

2020
2020
2023
2023

Publication Types

Select...
8
1

Relationship

3
6

Authors

Journals

citations
Cited by 35 publications
(31 citation statements)
references
References 57 publications
2
25
0
4
Order By: Relevance
“…The data collection and followed processing protocols used are described in previous studies. 24,25 GT presents search statistics for a given search term in the chosen timeframe and region (trends.google.com/ trends/). The search volume is presented as an index called relative search volume (RSV) ranged between 0-100.…”
Section: Data From Google Trendsmentioning
confidence: 99%
“…The data collection and followed processing protocols used are described in previous studies. 24,25 GT presents search statistics for a given search term in the chosen timeframe and region (trends.google.com/ trends/). The search volume is presented as an index called relative search volume (RSV) ranged between 0-100.…”
Section: Data From Google Trendsmentioning
confidence: 99%
“…The Internet has become an essential source of health-related information as the number of search queries has been rising continuously for many years [ 6 , 7 , 8 , 9 ]. Not only for people who have some symptoms and want to inform themselves prior to consulting a physician, but also for patients seeking for further information like treatment options [ 10 ].…”
Section: Introductionmentioning
confidence: 99%
“…This study did not require ethical committee approval. The methods we used come from previous studies [18,19].…”
Section: Data Collectionmentioning
confidence: 99%
“…Google is the most popular search engine globally, used by 80-90% of web users [14]. The analysis of Google queries is a novel method for predicting future infectious diseases outbreaks [15,16], assessing disease awareness [17], relative prevalence of different types of pain [18], as well as popularity of diets [19]. The analysis of searches related to dietary supplements may reveal what ingredients generate the most interest, and how this interest changes over time.…”
Section: Introductionmentioning
confidence: 99%