Hotspot sheep scab management: A community-based regional approach in England

BACKGROUND

Ovine psoroptic mange (sheep scab), caused by an infestation of the mite Psoroptes ovis, leads to clinical disease, economic loss and severely compromised animal welfare. Here, a community-based approach to the management of scab in three high-risk areas of England is described.

METHODS

For each of the 254 farms included in the study, an initial survey of their clinical sheep scab history was followed up by a blood test (ELISA) to detect the presence of antibodies to P. ovis. This facilitated the coordination of treatment across groups of farms in each region. Blood testing was then repeated at the end of the treatment programme.

RESULTS

On the first blood test in 2021/2022, 25.6% (±5.5%) of the flocks were positive for sheep scab. On the second test in 2022/2023, 9% (±3.94%) of the flocks tested were positive, showing a highly statistically significant reduction in prevalence overall, but with strong regional variation.

LIMITATIONS

generating an understanding of the flock-level nature of the blood test and confidence in its detection of scab where clinical signs were not apparent provided ongoing challenges.

CONCLUSIONS

The programme demonstrated that a focused community-based approach can be used to significantly reduce the prevalence of sheep scab in high-risk areas of England. The use of the blood test on all farms allowed the identification of subclinical sheep scab. The programme provides an effective model for sheep scab management on a national scale.

Sheep scab: comparison of spatial and temporal patterns determined by clinical diagnosis or ELISA

Background

Ovine psoroptic mange (sheep scab) is an infectious condition caused by an allergen-induced hypersensitivity response to the mite Psoroptes ovis. Infestation results in clinical disease, economic loss and welfare issues in many sheep-producing countries. The aim of this study was to compare the prevalence and spatial pattern of sheep scab on contiguous farms, using both self-reported clinical outbreak history (2012–2020) and serological testing with an enzyme-linked immunosorbent assay (2021/2022).

Methods

Farms included in the study were located in three regions of known high scab prevalence in North, Central and Southwest England. In total, 254 farms completed both a questionnaire, which provided the clinical scab history of the farm, and submitted results of serological testing with the ELISA.

Results

A scab outbreak was reported by 17.4% (± confidence interval [CI]: 4.6%; n = 48) of farms in 2020 based on clinical diagnosis; scab was diagnosed by the ELISA on 25.6% (± 5.5%; n = 65) of farms in 2021/2022. Comparison of self-reported clinical scab cases with the ELISA test results identified a group of farms (n = 52) that did not report scab in 2020, or in some cases did not report having scab over the previous 8 years (n = 20), but whose flocks were nevertheless seropositive in 2021/2022.

Conclusion

A small number of flocks, particularly those using common grazings in North England, where handling is infrequent, often comprising less susceptible sheep breeds, may have persistent scab infestations that are generally undetected by clinical inspection. The data highlight the advantages of serological testing to identify exposure to scab in flocks where clinical signs are less easily detected.

Graphical Abstract

Comparing two predictive risk models for nematodirosis in Great Britain

BACKGROUND

Nematodirus battus infection is a major health concern in lambs. Development and hatch of infective larvae on pastures is temperature dependent, making model-based risk forecasting a useful tool for disease control.

METHODS

Air and 30 cm soil temperature-based risk models were used to predict hatch dates using meteorological data from 2019 and compared to infection dates, estimated from the first appearance of N. battus eggs, on 18 sheep farms distributed across Great Britain.

RESULTS

The air temperature model was more accurate in its predictions than the soil temperature model on 12 of the 18 farms, but tended to predict late hatch dates in the early part of the season.

CONCLUSION

Overall, the air temperature model appears the more appropriate choice for predicting N. battus peak hatch in the UK in terms of accuracy and practicality, but some adjustment might be needed to account for microclimatic variations at the soil-air interface.