Dry eye disease seasonal pattern and climatic association in Saudi Arabia using Google Trends.

ABSTRACT:

Purpose

The study aims to investigate the dry eye search term pattern in Saudi Arabia using Google Trends, and to explore the association of weather changes on dry eye disease (DED) search interests.

Methods

Time series analysis for data that were collected from Google Trends (GTs) on period from January 2011 to October 2024 using Arabic term for Dry Eye with setting allocated in Saudi Arabia. Seasonality was evaluated using Fourier terms in ARIMA regression model. Monthly variation was further evaluated. Climate factors, mean surface air temperature, relative humidity and accumulated precipitate were incorporated into ARIMAX model to find environmental relationship with DED. Kruskal-Wallis test was performed to confirm significant finding in monthly variation.

Results

SUBMITTER: AlHarthi AS 

PROVIDER: S-EPMC12716742 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature