SUSPECTED RESISTANCE TO ALBENDAZOLE IN FASCIOLA GIGANTICA NATURALLY INFECTING CATTLE IN TANZANIA Jahashi Nzalawahe1*, Ayub A. Kassuku1, James R. Stothard2, Hannah Rose3, Gerald C. Coles3, Mark C. Eisler3 1 Department of Veterinary Microbiology and Parasitology, Sokoine University of Agriculture, Morogoro, Tanzania 2Department of Parasitology, Liverpool School of Tropical Medicine, Liverpool, UK 3School of Veterinary Sciences, University of Bristol, Langford house, Langford, Bristol, UK.
BACKGROUND Large scale farmers (Improved dairy breeds) Small scale farmers (Improved dairy breeds) Traditional farmers (Traditional breeds)
Control of Fasciola gigantica infections in cattle greatly achieved by the use fasciolicides world wide.
EXPERIMENTAL DESIGN 60 cattle with concurrent infections of Fasciola and paramphistomes in each District were randomly allocated into six experimental groups
Animal identification
Treatment of animals
Post-treatment collection of faecal samples Day of treatment Days 7, 14 and 28
DATA ANALYSIS Faecal Egg Count Reduction Test (FECR) Flukicide was considered effective when calculated FECR was ≥ 95% and 95% lower confidence limit (LCL) was ≥ 90% Day 14 post-treatment EPG results were used in FECR calculations
Efficiencies of flukicides against Fasciola Arumeru District Albendazole Nitroxynil Oxyclozanide Closantel Triclabendazole FECR% 49% 100% 95% LCL -3% Iringa District Albendazole Nitroxynil Oxyclozanide Closantel Triclabendazole FECR% 89% 100% 95% LCL 50%
Efficiencies of flukicides against paramphistomes Arumeru District Albendazole Nitroxynil Oxyclozanide Closantel Triclabendazole FECR% 50% 79% 99% 31% 95% LCL 0% 33% 95% 25% Iringa District Albendazole Nitroxynil Oxyclozanide Closantel Triclabendazole FECR% 29% -15% 99% 79% 62% 95% LCL 0% 95% 19%
CONCLUSIONS Nitroxynil, oxyclozanide, closantel and triclabendazole were highly (100%) effective to Fasciola infection Oxyclozanide was the only drug effective against paramphistomes Reduced efficacy of albendazole to Fasciola infection
ACKNOWLEDGMENT Sokoine University of Agriculture (SUA) Leverhulme Royal Society African Award Scheme Supervisors: - Prof: Mark Eisler (University of Bristol) - Prof: Ayub Kassuku (SUA, Tanzania) Global Farm Platform