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Mastitis pattern analysis: epidemiology into practice

02 September 2022
8 mins read
Volume 27 · Issue 5

Abstract

Analysis of data to inform decision making in dairy animal practice is a cornerstone of modern dairy herd health work and is routinely carried out in areas such as fertility management and mastitis control. Mastitis in dairy herds continues to be important and relevant to veterinary advisors for many reasons, such as cow welfare, the cost of disease, the use of antimicrobials and the sustainability of farming and food supply, including environmental impact and waste milk. When implementing control measures to reduce mastitis infection rates on farm, herd level analysis of infection ‘patterns’ to inform decision making has been shown to be an important first step. Feedback from participants using the Agriculture and Horticulture Development Board (AHDB) Dairy Mastitis Control Plan previously indicated that the first stage of the Plan, analysing patterns and making a herd ‘diagnosis’, was often a difficult stage for Plan deliverers. The new AHDB Dairy QuarterPRO scheme offers an ‘entry-level’ method of routinely monitoring mastitis on farm and builds in a rapid method of assessing the predominant mastitis infection patterns present on farm, using somatic cell count and clinical mastitis records. A new fully automated mastitis pattern analysis report is now available to all milk recording dairy herds in the UK through their milk recording organisation, allowing routine assessment of the predominant pattern of infection, and enabling farmers and veterinary surgeons to highlight the most important area on their farm for mastitis control.

Analysis of data using software and the understanding of mastitis epidemiology on farm remains a barrier to more widespread control of mastitis in the UK for several reasons. Data analysis requires time, either on farm with the client or off farm at the practice. Routine analysis of data requires available software and interpretation of the data requires an understanding of fundamental concepts in epidemiology as well as understanding of the research into mastitis infections and mastitis control.

Analysis of mastitis data is an essential first step in any mastitis investigation, including the Mastitis Control Plan because any control measures that are prioritised to the farmer are dependent on a correct interpretation of mastitis patterns at this point. Research has shown that a targeted approach to control rather than a ‘one size fits all’ approach is vital when working to reduce the rate of new infection (Green et al, 2007), and therefore mastitis control plans have to be specifically tailored to the present herd situation. This represents a key barrier that prevents mastitis control being more successful and there continue to be many examples of where mastitis control advice has become confused and ineffective in the absence of a clear herd pattern.

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