Background: The growing demand for innovative biomaterials with antimicrobial properties has driven research into natural and synthetic compounds, such as propolis and nanosilver, known for their antimicrobial efficacy. Methods: This study uses Google Trends data to analyze global search interest in five key terms—propolis, antimicrobial, antibacterial, nanosilver, and biomaterials—over a ten-year period (starting November 2014). The objective is to evaluate temporal variations, quantify correlations between the terms, and explore how external events, such as the COVID-19 pandemic, have influenced public and clinical interest in these topics. Search data were extracted, normalized, and analyzed using multivariate time series methods, including vector autoregression (VAR) modeling, Impulse Response Function (IRF) analysis, and forecast error variance decomposition (FEVD). Stability, causality, and inter-period relationships were assessed using statistical analysis, with results visualized through time series plots and impulse response coefficients. Results: Key findings reveal significant interdependencies between search terms, with surges in one often resulting in immediate or shor
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