Influence of temperature on prevalence of health and welfare conditions in pigs: time-series analysis of pig abattoir inspection data in England and Wales. (18th February 2020)

• Record Type: Journal Article
• Authors: Lee, H.; Perkins, C.; Gray, H.; Hajat, S.; Friel, M.; Smith, R. P.; Williamson, S.; Edwards, P.; Collins, L. M.
• Is Part Of: Epidemiology and infection. Volume 148(2020)
• Publication Date: 2020-02-18
• Subjects: Climate, -- epidemiology, -- estimating, -- impact of, -- prevalence of disease, -- respiratory infections, -- veterinary epidemiology; Communicable diseases -- Periodicals; Epidemiology -- Periodicals; 614.4
• DOI: 10.1017/S0950268819002085
• Languages: English
• ISSNs: 0950-2688

Abstract

Abstract: The prevalence of many diseases in pigs displays seasonal distributions. Despite growing concerns about the impacts of climate change, we do not yet have a good understanding of the role that weather factors play in explaining such seasonal patterns. In this study, national and county-level aggregated abattoir inspection data were assessed for England and Wales during 2010–2015. Seasonally-adjusted relationships were characterised between weekly ambient maximum temperature and the prevalence of both respiratory conditions and tail biting detected at slaughter. The prevalence of respiratory conditions showed cyclical annual patterns with peaks in the summer months and troughs in the winter months each year. However, there were no obvious associations with either high or low temperatures. The prevalence of tail biting generally increased as temperatures decreased, but associations were not supported by statistical evidence: across all counties there was a relative risk of 1.028 (95% CI 0.776–1.363) for every 1 °C fall in temperature. Whilst the seasonal patterns observed in this study are similar to those reported in previous studies, the lack of statistical evidence for an explicit association with ambient temperature may possibly be explained by the lack of information on date of disease onset. There is also the possibility that other time-varying factors not investigated here may be driving some of the seasonal patterns.