Abstract

Purpose: This study analyzes global health-related search trends using Google Trends data from January 2021 to the present. It focuses on elderly health, odor management, beauty products, deodorization, and industry-related health topics to uncover long-term trends, seasonal variations, and forecast patterns. These insights reflect public interest and market behavior in health-related areas. Research Design & Data, Methodology: Time-Series Analysis, Correlation Analysis, and ARIMA forecasting were applied to analyze to Google Trends data. Time-Series Analysis identified patterns and seasonality; Correlation Analysis explored relationships among search terms; and ARIMA predicted search trends for the next 12 weeks. Research Results: Elderly health searches steadily increased, indicating rising awareness. Odor and deodorization showed strong seasonality, peaking in warmer months. Beauty product searches remained relatively stable, with spikes during promotional periods. Industry-related health concerns varied, reflecting workplace policies and regulations. Correlation results revealed strong links between odor and deodorization, and moderate connections between elderly health and beauty products. Conclusion: Google Trends effectively captures public interest in health topics. The study provides valuable insights for public health professionals, businesses, and policymakers. Future research should integrate external variables and machine learning methods to enhance prediction accuracy and monitor emerging health concerns.