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Abstract: Estimating Transmission Dynamics of African Swine Fever Virus from Experimental Studies

Abstract: Estimating transmission dynamics of African swine fever virus from experimental studies

African swine fever virus (ASFV) continues to spread across the world, and currently, there are no treatments or vaccines available to combat this virus. Reliable estimates of transmission parameters for ASFV are therefore needed to establish effective contingency plans. This study used data from controlled ASFV inoculations of pigs to assess the transmission parameters. Three models were developed with (binary, piecewise-linear and exponential) time-dependent levels of infectiousness based on latency periods of 3-5 days derived from the analysis of 294 ethylenediamine tetraacetic acid-stabilized blood samples originating from 16 pigs with direct and 10 pigs with indirect contact to 8 inoculated pigs. The models were evaluated for three different discrete latency periods of infection. The likelihood ratio test showed that a binary model had an equally good fit for a latency period of 4 or 5 days as the piecewise-linear and exponential model. However, for a latency period of 3 days, the piecewise-linear and exponential models had the best fit. 

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Season 7, Episode 2: From Data to Decisions in Swine Production

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Data can provide a clear picture of trends and performance across a swine farm, but its greatest value comes from putting those insights into action. In this episode, Dr. Edison Magalhães, assistant professor in the department of animal science at Iowa State University, discusses how producers can leverage data to make informed decisions that improve herd performance from birth to market. He highlights the challenges of siloed data across different teams, the impact those gaps can have on performance and the importance of integrating data to gain a more complete picture of herd health and productivity. He also explains the PROSPER (Predictors of Swine Performance) tool, which combines data from multiple sources to help producers better understand herd performance.