Objectives This study investigates sex and gender disparities in COVID-19 epidemiology in the Canton of Vaud, Switzerland, focusing on interactions with socioeconomic position (SEP) and age. Methods We analyzed COVID-19 surveillance data from March 2020 to June 2021, using an intersectional approach. Negative binomial regression models assessed disparities between women and men, across SEP quintiles and age groups, in testing, positivity, hospitalizations, ICU admissions, and mortality (Incidence Rate Ratios [IRR], 95% Confidence Intervals [CI]). Results Women had higher testing and positivity rates than men, while men experienced more hospitalizations, ICU admissions, and deaths. The higher positivity in women under 50 was mitigated after accounting for higher testing rates. Across SEP quintiles, gender/sex differences in testing and positivity were insignificant. In the lowest quintile, women`s mortality risk was 68% lower (IRR 0.32, CI 0.20-0.52), with no significant disparities in the highest quintile (IRR 0.66, CI 0.41-1.06). Conclusion Our findings underscore diverse epidemiological patterns of COVID-19, shaped by the interactions of gender/sex, SEP, and age, highlighting the need for intersectional perspectives in both epidemiological research and the development of public health strategies.