First Assessment of Weeks-to-Negative Processing Fluids in Breeding Herds after a Senecavirus A Outbreak

This is our Friday rubric: every week a new Science Page from the Bob Morrison’s Swine Health Monitoring Project. The previous editions of the science page are available on our website.

In this week’s science page Guilherme Preis, Neal R Benjamin, Deborah Murray, Emily Byers Taylor, Samuel Copeland, Grant Allison and Cesar A Corzo share the results of a study looking at the number of weeks processing fluids remain SVA-positive after an SVA outbreak.

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Chart 4 PRRS EWMA Review

This is our Friday rubric: every week a new Science Page from the Bob Morrison’s Swine Health Monitoring Project. The previous editions of the science page are available on our website.

In today’s Science Page, the MSHMP team dives into Chart 4, which shows Porcine reproductive and respiratory syndrome virus Exponential Weighted Moving Average.

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Space-time dynamics of African Swine Fever spread in the Philippines

This is our Friday rubric: every week a new Science Page from the Bob Morrison’s Swine Health Monitoring Project. The previous editions of the science page are available on our website.

In today’s Science Page Chia-Hui Hsu and Andres Perez from the Center for Animal Health and Food Safety, and Maximino Montenegro from the Pig Improvement Company in the Philippines, examine the spatial and temporal patterns of ASF in the Philippines between 2019 and 2022.

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Wait and see? Biosecurity decision-making under disease risk – Part 2

In the previous science page, Gabriela Bucini, Scott C. Merrill, Eric M. Clark, and Julie M. Smith of the Social Ecological Gaming and Simulation Lab at the University of Vermont shared that the decisions made by the players in different scenarios of disease risk, risk communication strategies, and neighboring farm biosecurity implementation allowed us to identify three prominent behavioral groups. The risk tolerant players invested very little in biosecurity in contrast to risk averse players who invested consistently throughout the simulation to protect their farms. Our third category, risk opportunists, primarily invested in biosecurity during high risk scenarios but limited investments during rounds with lower chance of infection.

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Wait and see? Biosecurity decision-making under disease risk – Part 1

This short science page offers insights on decision making where a wait-and-see attitude induces a delay in biosecurity investments and implementation, which creates instability and uncertainty in the industry’s ability and capacity to control disease. Written by Gabriela Bucini, Scott C. Merrill, Eric M. Clark, and Julie M. Smith of the Social Ecological Gaming and Simulation Lab, University of Vermont.

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