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Abstract

In the United States it is currently unknown whether the influenza surveillance system is capable of producing timely and accurate data for case estimation during an outbreak of pandemic scale. This simulation provides a preliminary evaluation of the surveillance system’s ability to collect data and produce timely and accurate trends of cases confirmed with an influenza virus. For the evaluation, a computer-based simulation of the data-collection process was used, which was validated with real demographic and epidemiologic information. The results were analyzed to determine the most significant behavioral and operational factors influencing the data collection and to propose the exploration of more efficient data-collection policies for the generation of timely and accurate trends of confirmed cases.