Seasonal Trends in Public Interest for Gastrointestinal Symptoms: A 10-Year Infodemiology Analysis Using Google Trends
John K Appiah, Ewurabena Plange-Kaye, Evans Donneyong

TL;DR
This study uses Google Trends to analyze 10 years of public interest in gastrointestinal symptoms, finding seasonal patterns that could help predict healthcare needs.
Contribution
The study reveals distinct seasonal trends in public interest for gastrointestinal symptoms using infodemiology tools.
Findings
Stomach pain and heartburn peak in January, while bloating and diarrhea peak in July.
Bloody stool showed the largest seasonal amplitude at 63.2 percent.
Seasonal patterns in GI symptom searches can inform public health surveillance and resource planning.
Abstract
Online search data have emerged as a novel tool to assess public health interest and behavior. Gastrointestinal (GI) symptoms are prevalent, yet little is known about their seasonal variation from a population behavior standpoint. This study uses Google Trends to evaluate temporal patterns in public search interest for common GI symptoms over a 10-year period in the United States. Relative search volumes (RSVs) for six GI symptoms (stomach pain, heartburn, bloating, diarrhea, constipation, and bloody stool) were extracted from Google Trends spanning January 2015 to January 2025. Data were normalized, aggregated monthly, and subjected to seasonal-trend decomposition using Loess (STL) to isolate long-term and seasonal components. Peak months were determined based on the seasonal component. Stomach pain had the highest overall search volume, with a seasonal peak in January reflecting a…
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Taxonomy
TopicsData-Driven Disease Surveillance · Colorectal Cancer Screening and Detection · Mobile Health and mHealth Applications
