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.
MSHMP brings us a new perspective on the spread of PRRS in this week’s Science Page, by Nakarin Pamornchainavakul, Igor Paploski, Dennis Makau, Mariana Kikuti, Albert Rovira, Samantha Lycett, Cesar Corzo, and Kim VanderWaal.
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, Iowa State researchers Page Berenice Munguía-Ramírez, Betsy Armenta-Leyva, Alexandra Henao-Díaz, Ting-Yu Cheng, Jianqiang Zhang, Gaurav Rawal, Fangshu Ye, Luis Giménez-Lirola and Jeffrey J. Zimmerman summarize three studies looking at the effect of temperature and time on the detection of PRRSV by PCR in serum, oral fluids and fecal samples.
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.
Today’s Science Page brings together researchers from three continents! Onyekachukwu Osemeke, Eduardo Costa, Vinicius Weide, Swaminathan Jayaraman, Gustavo Silva, and Daniel Linhares share how to estimate PRRS prevalence at the piglet level in a farrowing room based on the results of family oral fluid testing.
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.
“Doing what we know how to do” is the best next step in efforts to eliminate PRRSv from the U.S. herd. The At The Meeting team presents a clear agenda in its continuing conversation with Dr. Scott Dee (Retired Director of Applied Research, Pipestone Veterinary Services) and Dr. Reid Philips (PRRS technical Brand Manager, Boehringer Ingelheim). The group acknowledges that PRRS elimination won’t be easy or immediately profitable, but a patient, persistent and proactive approach will yield success.
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.
