This study investigates the statistical association between community mobility patterns and daily new COVID-19 cases in Pakistan. Using Google Community Mobility Reports data combined with new daily COVID-19 cases per million population (sourced from Our World in Data) for the period February 25, 2020 to a specified endpoint, the analysis examines how changes in movement across residential, retail, transit, and workplace categories correlate with subsequent transmission patterns. Scatter plots and correlation analysis provide preliminary evidence of mobility-transmission relationships, with implications for the use of mobility data as a real-time surveillance and early warning tool for pandemic management.