Similar Items: Evidence of exposure to C. burnetii among slaughterhouse workers in western Kenya
- Prevalence and risk factors for exposure to Toxoplasma gondii in slaughterhouse workers in western Kenya
- Slaughterhouse workers as sentinels of zoonotic disease
- Slaughterhouse workers as reservoirs of zoonotic disease
- Coxiella burnetii serostatus in dromedary camels (Camelus dromedarius) is associated with the presence of C. burnetii DNA in attached ticks in Laikipia County, Kenya
- Slaughterhouse zoonoses: Leptospirosis and Q fever in Kenya
- Working conditions and public health risks in slaughterhouses in western Kenya
Author: Cook, Elizabeth A.J.
- Clinical evaluation of corridor disease in Bos indicus (Boran) cattle naturally infected with buffalo-derived Theileria parva
- Species diversity and risk factors of gastrointestinal nematodes in smallholder dairy calves in Kenya
- Microbial contamination at slaughter and retail points of the pork value chain in Uganda
- Zoonoses and Poverty: The Multiple Burdens of Zoonoses in Low- and Middle-Income Countries
- Goat seropositivity as an indicator of Rift Valley fever (RVF) infection in human populations: A case-control study of the 2018 Rift Valley fever outbreak in Wajir County, Kenya
- Non-typhoidal Salmonella among slaughterhouse workers and in the pork value chain in Uganda
Author: Glanville, William A. de
- Risk mapping for HPAI H5N1 in Africa - Improving surveillance for bird flu: Introduction to bird flu risk maps for disease surveillance
- Mapping the likelihood of introduction and spread of HPAI virus H5N1 in Indonesia using multicriteria decision modelling
- Shrinking a large dataset to identify variables associated with increased risk of Plasmodium falciparum infection in Western Kenya
- Mapping the likelihood of introduction and spread of Highly Pathogenic Avian Influenza virus H5N1 in Africa and Indonesia using multicriteria decision modelling
- Modelling the risk of Taenia solium exposure from pork produced in western Kenya
- Mapping the risk of spread of highly pathogenic avian influenza H5N1 in Indonesia using multicriteria decision modelling