ArticleAnnals of medicine and surgery (2012)2026
Temporal and geographic patterns of breast cancer-related google search activity and its association with CDC-reported incidence in the United States (2005-2023).
Article in Annals of medicine and surgery (2012), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
5 authors.
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Abstract
Background: Breast cancer remains the most commonly diagnosed cancer among women worldwide and a leading cause of cancer-related mortality. With increasing reliance on digital platforms for health information, Google Trends has emerged as a potential tool for digital surveillance. This study aims to determine whether Google Trends search activity correlates with Centers for Disease Control (CDC)-reported breast cancer burden and to assess its viability as a complementary digital surveillance signal for public health monitoring. Methods: This study utilized Google Trends data to analyze prevalent breast cancer-related search terms from 2005 to 2023 in the United States. The latest CDC-reported breast cancer incidence rates for 2023 were compared with State-level relative search volume (RSV) to identify patterns. Pearson correlation and linear regression analyses were performed to evaluate the association between state-level RSV and breast cancer incidence rates. Results: Google Trends data showed a 21% increase in average annual breast cancer-related searches in the United States from 2005 to 2023. Linear regression analysis showed a statistically significant upward trend ( Conclusion: Although national digital search interest in breast cancer has increased significantly over time, Google Trends data demonstrated weak geographic concordance with state-level incidence rates. These findings suggest that while digital search data may reflect evolving public engagement, they should be interpreted cautiously when used as a proxy for geographic disease burden in digital surveillance frameworks.
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