Chart 3 description: PRRS incidence rate by status at break

In this science page we would like to review one of our charts that tends to be more difficult to interpret, yet it conveys a valuable interpretation of the MSHMP data. Chart 3 – PRRSv Incidence rate can be tricky to interpret at first because it reflects the dynamic nature of swine herd health and, consequently, the MSHMP data. Since PRRSv health statuses are not static over time, a farm can experience PRRSv status changes throughout the year. This happens in a variety of ways, such as moving towards a naïve status, introducing vaccine(s), or experiencing a new PRRSv outbreak. The situation becomes more complex by the fact that a farm listed as having recently moved to a PRRSv status 1 can break again with another PRRSv strain. Therefore, we consider each farm is at risk for breaking with PRRSv regardless of its current status.

Chart 3 calculates the PRRS Incidence Rate according to the health status farms had at the beginning of the MSHMP year (Jul 1st). This chart addresses the question: “How frequently do farms that started the MSHMP year in each of the different PRRSv health status break with PRRSv throughout the year?”. Therefore, Chart 3 estimates the number of outbreaks within each status while taking into account the time at risk (i.e. number of weeks in that given status). For instance, if 10 sites started the year as status 2, one breaks with PRRSv within 5 weeks and a second one breaks within 20 weeks, while the rest remain with no PRRSv breaks throughout the year, their time at risk (i.e., time in the original status) is 5 (for the first site), 20 (for the second site), and 52 (for each of the remaining 8 herds) weeks, respectively. The incidence rate would be 2 (total number of breaks) divided by 441 farm-weeks (5+20+(8*52)), or an incidence rate of 0.0045. This means that, on average, the 10 hypothetical sites that started the year in status 2 experience PRRSv breaks at 0.0045 breaks per week. Farm-week is the nomenclature of the standardization of the different contribution times of each site. Similarly, the contribution time can also be standardized to represent years instead of weeks.

Using the Chart 3 example below, the incidence rate for PRRS status 2 farms is 0.0049 cases per farm-week or 0.2537 cases per farm-year. Alternatively, we can multiply those rates by 1,000 and have an incidence rate of 4.9 cases per 1,000 farm-week or 253.7 cases per 1,000 farm-years. In other words, if 1,000 farms are in status 2 in a given week, approximately 5 are expected to experience a PRRSv outbreak (0.0049 x 1,000 farm-weeks). Or annually, if 1,000 farms are in status 2 during the year, then approximately 254 farms are expected to experience a PRRSv outbreak (0.2537 cases x 1,000 farm-years).

Although weekly incidence rate is not visually intuitive, it allows a more nuanced and accurate reflection of the rate in which a site might break with PRRSv given its initial PRRSv status at the beginning of the year. Chart 3 in the MSHMP reports allows us to notice that sites in status 2fvi have an overall higher incidence rate than sites in status 4. Also, it also allows us to quickly notice any drastic change in patterns, such as sudden incidence rate increases in a particular status of interest as it is currently the only swine health monitoring metric that provides an objective measure of disease occurrence since it does have a farm denominator. If you have any comments or questions about the MSHMP PRRSv Chart 3, please do not hesitate to contact Cesar Corzo at corzo@umn.edu.

Tools to Fight PRRSv: Too Soon to Admit Defeat: A podcast

Podcasts are a perfect way to get caught up with new swine information! We are presenting you the latest episode from “At The Meeting… Honoring Dr. Bob Morrison” in collaboration with SwineCast.

Decades of hard work have produced a wide assortment of tools to fight the spread of PRRSv. Success and failure and no silver bullets have discouraged many – leaving the impression that the PRRSv cannot be eliminated.


The At The Meeting team documents how far the pig industry has come with two front-line leaders in the PRRSv battle: Dr. Scott Dee (Emeritus Director, Discovery and Innovation, Pipestone Research) and Dr. Reid Philips (PRRS Technical Manager, Boehringer Ingelheim Animal Health Inc USA).

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Summary: The effect of piglet vitality, birth order, and blood lactate on the piglet growth performances and preweaning survival

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.

This week’s Science Page is a summary of research done by Md Karim Uddin, Shah Hasan, Olli Peltoniemi, and Claudio Oliviero of the University of Helsinki in Helsinki, Finland. The authors looked at the effect of several factors, including birth order, on piglet growth performances and preweaning survival rates.

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Drs. Sturos and Murray discuss their paper on “Processing the Litter-ature”

The Swine Disease Eradication Center is proud to present another episode of “Processing the Litter-ature”: a podcast in which peer-reviewed papers are docked, clipped and supplemented with a field perspective.

In this episode, Dr. Matt Sturos and Dr. Deb Murray discuss the paper “Persistence and shedding of senecavirus A in naturally infected boars.”

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Seasonality of PEDV incidence in breeding herds during endemic transmission in the U.S.

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.

University of Minnesota researchers Mariana Kikuti, Xiaomei Yue, Marcello Melini, Emily Geary, Paulo Fioravante, and Cesar Corzo share information regarding how seasons affect PEDV incidents in breeding herds in this week’s Science Page.

Continue reading “Seasonality of PEDV incidence in breeding herds during endemic transmission in the U.S.”