Near Real-time Surveillance for Consequences of Health Policies Using Sequential Analysis

Background:New health policies may have intended and unintended consequences. Active surveillance of population-level data may provide initial signals of policy effects for further rigorous evaluation soon after policy implementation.Objective:This study evaluated the utility of sequential analysis