To estimate the reduction of influenza infection and illness during laboratory documented influenza outbreaks in individuals and groups using one or more interventions compared to those not using such interventions. The effect of the intervention will be tested through the use of generalized estimating equations (GEE) as applied to statistical regression models for clustered data. The main outcome for this aim will be the rate of influenza cases and rates of secondary influenza transmission comparing the intervention and control dormitories. Additional outcomes will include other non-influenza respiratory illnesses and enteric illness symptoms. Predictor variables will include the main effects of the intervention and control for potential confounders depending upon balance of the known confounders across intervention and control residence halls.