Epidemiological factors and mitigation measures influencing production losses in cattle due to bovine viral diarrhoea virus infection: A meta‐analysis

• Published in: Transboundary and emerging diseases Vol. 66; no. 6; pp. 2426 - 2439
• Main Authors: Pinior, Beate, Garcia, Sebastien, Minviel, Jean J., Raboisson, Didier
• Format: Journal Article
• Language: English
• Published: Germany Hindawi Limited 01.11.2019; Wiley-Blackwell; John Wiley and Sons Inc
• Subjects: Agricultural production; Animal Husbandry - economics; Animals; Biosecurity; Bovine Virus Diarrhea-Mucosal Disease - economics; Bovine Virus Diarrhea-Mucosal Disease - epidemiology; Bovine Virus Diarrhea-Mucosal Disease - prevention & control; Cattle; Computer simulation; Costs and Cost Analysis; Culling; Diarrhea; Diarrhea Viruses, Bovine Viral; economic; Environmental Sciences; Epidemiology; eradication; Farms; Humanities and Social Sciences; Immunization; Infections; Life Sciences; Maintenance management; Meta-analysis; Mitigation; Original; Quantitative Finance; Regression analysis; Ultrasonic testing; Vaccination; Vaccination - economics; Viruses; epidemiology; biosecurity; eradication; economic; vaccination
• ISSN: 1865-1674; 1865-1682
• DOI: 10.1111/tbed.13300

Infection with bovine viral diarrhoea virus (BVDV) is associated with a loss in productivity in cattle farms. Determining which factors influence monetary losses due to BVDV could facilitate the implementation of mitigation measures to reduce the burden of BVDV. Mixed‐effect meta‐analysis models were performed to estimate the extent to which the costs of mean annual BVDV production losses per animal may be influenced by epidemiological factors such as BVDV introduction risk, initial prevalence, viral circulation intensity and circulation duration (trial 1). Additionally, changes in mean annual BVDV production losses per animal due to specific mitigation measures (i.e., biosecurity, vaccination, testing and culling, cattle introduction or contact with neighbouring cattle herds) were analysed (trial 2). In total, 19 studies were included in the meta‐analysis to assess mean annual BVDV production losses. The mean annual direct losses were determined to be €42.14 per animal (trial 1). The multivariate meta‐regression showed that four of the previously mentioned epidemiological factors significantly influenced the mean annual BVDV production losses per animal. Indeed, the per animal costs increased to €67.19 when these four factors (trial 1) were considered as “high or moderate” compared to “low”. The meta‐regression analysis revealed that implementation of vaccination and biosecurity measures were associated with an 8%–12% and 28%–29% decrease in BVDV production losses on average, respectively, when simulated herds were compared with or without such mitigation measures (trial 2). This reduction of mean annual BVDV production losses per animal due to mitigation measures was partially counteracted when farmers brought new cattle on to farm or allowed contact with neighbouring cattle herds. The influencing mitigation factors presented here could help to guide farmers in their decision to implement mitigation strategies for the control of BVDV at farm level.