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Dataset Information

Online information-seeking behavior of Iranian web users on Google about Henoch-Schonlein purpura (HSP): an infodemiology study.


ABSTRACT:

Backgrounds

Previous studies have indicated that users' health information-seeking behavior can serve as a reflection of current health issues within a community. This study aimed to investigate the online information-seeking behavior of Iranian web users on Google about Henoch-Schönlein purpura (HSP).

Methods

Google Trends (GTr) was utilized to collect big data from the internet searches conducted by Iranian web users. A focus group discussion was employed to identify users' selected keywords when searching for HSP. Additionally, keywords related to the disease's symptoms were selected based on recent clinical studies. All keywords were queried in GTr from January 1, 2012 to October 30, 2022. The outputs were saved in an Excel format and analyzed using SPSS.

Results

SUBMITTER: Javadi V 

PROVIDER: S-EPMC10714479 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature