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1.
Trop Anim Health Prod ; 50(5): 937-945, 2018 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-29582340

RESUMEN

A cross-sectional study was conducted among 308 lactating camels selected from 15 herds from three different camel milk clusters in Isiolo County, Kenya, to determine prevalence of bovine and avian tuberculosis using Single Comparative Intradermal Tuberculin Skin test. Seventy-five (75) questionnaires were administered to pastoralists/herders, and focus group discussions were conducted among 3-5 pastoralists/herders selected from each camel herd to collect information on camel husbandry and health management practices and knowledge on tuberculosis in livestock and wildlife. An overall prevalence of bovine and avian reactors was 3.57 and 18.18%, respectively, with bovine and avian reactors for different clusters being 2.38, 3.82, and 4.48% and 25, 17.2, and 11.94%, respectively. There was significant difference (p < 0.05) in prevalence of bovine and avian reactors between different clusters. There was a negative correction (r = -0.1399) between herd size and bovine reactors, while there was a positive correlation (r = 0.0445) between herd size and avian reactors. The respondents indicated that camel herds are exposed to several risk factors like close contact with other herds or livestock or wildlife during grazing and at watering points. Pastoralists have poor knowledge on mode of infection and transmission of bovine or avian tuberculosis. The high prevalence of bovine and avian reactors and pastoralists' poor knowledge on mode of transmission signify potential risk to public health.


Asunto(s)
Camelus/microbiología , Prueba de Tuberculina/veterinaria , Tuberculosis Aviar/epidemiología , Tuberculosis Bovina/epidemiología , Animales , Animales Salvajes , Aves , Bovinos , Estudios Transversales , Femenino , Geografía , Conocimientos, Actitudes y Práctica en Salud , Humanos , Pruebas Intradérmicas/veterinaria , Kenia , Lactancia , Ganado , Leche , Prevalencia , Salud Pública , Factores de Riesgo , Tamaño de la Muestra , Encuestas y Cuestionarios , Tuberculosis
2.
Artículo en Inglés | MEDLINE | ID: mdl-25325777

RESUMEN

Aflatoxicosis has repeatedly affected Kenyans, particularly in the eastern region, due to consumption of contaminated maize. However, save for the cases of acute toxicity, the levels of sub-lethal exposure have not been adequately assessed. It is believed that this type of exposure does exist even during the seasons when acute toxicity does not occur. This study, therefore, was designed to assess the exposure of households to aflatoxins through consumption of maize and maize products. Twenty samples each of maize kernels, muthokoi and maize meal were randomly sampled from households in Kibwezi District of Makueni County in Eastern Kenya and analysed for aflatoxin contamination. The samples were quantitatively analysed for aflatoxin contamination using HPLC. The uncertainty and variability in dietary exposure was quantitatively modelled in Ms Excel using Monte Carlo simulation in @Risk software. Aflatoxins were found in 45% of maize kernels at between 18 and 480 µg kg⁻¹, 20% of muthokoi at between 12 and 123 µg kg⁻¹, and 35% of maize meal at between 6 and 30 µg kg⁻¹. The mean dietary exposure to aflatoxin in maize kernels was 292 ± 1567 ng kg⁻¹ body weight day⁻¹, while the mean dietary exposure to aflatoxin in maize meal and muthokoi were 59 ± 62 and 27 ± 154 ng kg⁻¹ body weight day⁻¹ respectively. The results showed that the amount and frequency of consumption of the three foods is the more important contributing factor than the mean aflatoxin concentration levels, to the risk of dietary exposure to aflatoxins.


Asunto(s)
Aflatoxinas/toxicidad , Carcinógenos Ambientales/toxicidad , Dieta/efectos adversos , Contaminación de Alimentos , Manipulación de Alimentos , Semillas/química , Zea mays/química , Adulto , Aflatoxinas/análisis , Aflatoxinas/antagonistas & inhibidores , Sulfato de Amonio/química , Carcinógenos Ambientales/análisis , Carcinógenos Ambientales/química , Niño , Estudios Transversales , Países en Desarrollo , Dieta/etnología , Monitoreo del Ambiente , Composición Familiar , Contaminación de Alimentos/prevención & control , Conservantes de Alimentos/química , Humanos , Kenia , Método de Montecarlo , Oxidantes/química , Medición de Riesgo , Semillas/microbiología , Zea mays/microbiología
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