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The objectives of this project were to collect data that could be used to describe farm-to-farm swine movements in a major swine production region of the United States and to use the data to develop movement parameters that may be used in epidemiologic models of transboundary animal diseases. Epidemiologic models are simplified representations of disease spread in a population that are useful tools to study questions related to the characteristics of disease spread, the effectiveness of potential control strategies, and the effects of continuity of business activities during a simulated outbreak. Most epidemiologic models that have been used to simulate transboundary animal disease spread in the United States have focused on regions outside of the country’s primary swine production regions. Consequently, swine have been underrepresented in those studies and have been described very generally in ways that do not adequately reflect the true structure and dynamics of U.S. swine systems. To create improved swine farm-to-farm movement parameters a dataset describing approximately 370,000 movements of animals in 17 primarily Midwestern states over one year was used to describe inter- and intra-state animal movements among four categories of farm (sow farm, finish, nursery, and wean-to-finish). In addition a dataset of approximately 9,000 movements of animals from Canada to the U.S. over one year were used to develop transboundary swine movement parameters between the two countries. Previously published epidemiologic models of transboundary animal diseases in the U.S. have tended to classify swine operations broadly as large (e.g., > 1,000 head) or small (e.g., < 1,000 head) operations and have not taken into account specialization in the industry and differences among types of operations in the destinations and types of animals that move among them. The movement parameters developed for this project will allow modelers to simulate movements among farms that better reflect the true structure and dynamics of U.S. swine systems.