Cryptosporidium spp., comparative diagnosis and geospatial distribution in diarrheic calves from dairy farms, Valdivia, Chile

Objetivo. Determinar la frecuencia de infección por Cryptosporidium spp., mediante las tinciones de Ziehl-Neelsen y Auramina en terneros diarreicos de predios lecheros de la provincia de Valdivia. Comparar ambas pruebas diagnósticas y determinar la distribución geoespacial de las infecciones causadas por este protozoo. Materiales y métodos. Se estudiaron 221 muestras fecales de terneros diarreicos pertenecientes a 24 predios de la provincia de Valdivia. El procesamiento y análisis de las muestras se realizó mediante tinción de Ziehl-Neelsen (ZN) y Auramina (AU); y ambas técnicas se compararon mediante la prueba estadística de McNemar y su nivel de concordancia se determinó mediante índice kappa. Se generó además un mapa para determinar la distribución geoespacial de las infecciones por Cryptosporidium. Resultados. Del total de animales muestreados, 57.9% resultaron positivos a ZN, mientras que 55.6% fueron positivo para AU. En la prueba de McNemar no hubo diferencia significativa entre los métodos diagnósticos estudiados (p>0.05), en tanto el índice kappa determinó una concordancia buena entre ambas pruebas (k=0.73). Del total de predios georeferenciados el 100% resultó positivo a la presencia del protozoo; demostrándose que ésta parasitosis tiene una amplia distribución; sin embargo, dado este factor, no fue posible determinar asociaciones geoespaciales sobre la distribución de éste. Conclusiones. La frecuencia de infección por Cryptosporidium supera el 50% en los predios lecheros de la provincia de Valdivia. No hubo diferencia entre las técnicas Ziehl-Neelsen y Auramina con resultados concordantes. Fue posible detectar que el número de predios infectados corresponde al 100% de los predios analizados.Objective. To determine the Cryptosporidium spp. infection frequency by using Ziehl-Neelsen and Auramine stains on samples obtained from diarrheic calves from milking farms of the Valdivia province. To compare both diagnostic tests and to determine the geospatial distribution of the infections caused by this protozoan. Materials and methods. 221 fecal samples of diarrheic calves of 24 milking farms of the Valdivia province were studied. The processing and analysis of the samples was done by Ziehl-Neelsen (ZN) and Auramine (AU) staining techniques, and the results were compared by McNemar statistical test and the concordance level was determined by kappa index. A map was also generated to determine the geospatial distribution of Cryptosporidium infections. Results. 57.9% of all the animals tested were classified as positive with the ZN stain test, while 55.6% of all the animals turned out positive for the AU stain test. The McNemar test showed no significant difference between both diagnostic techniques (p>0.05), while the kappa index showed proper concordance between tests (k=0.73). 100% of the farms studied showed protozoan presence demonstrating the broad distribution of the parasite, however, and considering the previous factor, it was not possible to determine geospatial associations for the parasite distribution. Conclusions. The infection frequency of Cryptosporidium is higher than 50% in the milking farms studied from the Valdivia province. No difference between the Ziehl-Neelsen and Auramine staining techniques was demonstrated showing very consistent results. It was possible to detect that the number of farms infected correspond to 100% of the farms analyzed

Cryptosporidium spp., comparative diagnosis and geospatial distribution in diarrheic calves from dairy farms, Valdivia, Chile

Objetivo. Determinar la frecuencia de infección por Cryptosporidium spp., mediante las tinciones de Ziehl-Neelsen y Auramina en terneros diarreicos de predios lecheros de la provincia de Valdivia. Comparar ambas pruebas diagnósticas y determinar la distribución geoespacial de las infecciones causadas por este protozoo. Materiales y métodos. Se estudiaron 221 muestras fecales de terneros diarreicos pertenecientes a 24 predios de la provincia de Valdivia. El procesamiento y análisis de las muestras se realizó mediante tinción de Ziehl-Neelsen (ZN) y Auramina (AU); y ambas técnicas se compararon mediante la prueba estadística de McNemar y su nivel de concordancia se determinó mediante índice kappa. Se generó además un mapa para determinar la distribución geoespacial de las infecciones por Cryptosporidium. Resultados. Del total de animales muestreados, 57.9% resultaron positivos a ZN, mientras que 55.6% fueron positivo para AU. En la prueba de McNemar no hubo diferencia significativa entre los métodos diagnósticos estudiados (p>0.05), en tanto el índice kappa determinó una concordancia buena entre ambas pruebas (k=0.73). Del total de predios georeferenciados el 100% resultó positivo a la presencia del protozoo; demostrándose que ésta parasitosis tiene una amplia distribución; sin embargo, dado este factor, no fue posible determinar asociaciones geoespaciales sobre la distribución de éste. Conclusiones. La frecuencia de infección por Cryptosporidium supera el 50% en los predios lecheros de la provincia de Valdivia. No hubo diferencia entre las técnicas Ziehl-Neelsen y Auramina con resultados concordantes. Fue posible detectar que el número de predios infectados corresponde al 100% de los predios analizados.Objective. To determine the Cryptosporidium spp. infection frequency by using Ziehl-Neelsen and Auramine stains on samples obtained from diarrheic calves from milking farms of the Valdivia province. To compare both diagnostic tests and to determine the geospatial distribution of the infections caused by this protozoan. Materials and methods. 221 fecal samples of diarrheic calves of 24 milking farms of the Valdivia province were studied. The processing and analysis of the samples was done by Ziehl-Neelsen (ZN) and Auramine (AU) staining techniques, and the results were compared by McNemar statistical test and the concordance level was determined by kappa index. A map was also generated to determine the geospatial distribution of Cryptosporidium infections. Results. 57.9% of all the animals tested were classified as positive with the ZN stain test, while 55.6% of all the animals turned out positive for the AU stain test. The McNemar test showed no significant difference between both diagnostic techniques (p>0.05), while the kappa index showed proper concordance between tests (k=0.73). 100% of the farms studied showed protozoan presence demonstrating the broad distribution of the parasite, however, and considering the previous factor, it was not possible to determine geospatial associations for the parasite distribution. Conclusions. The infection frequency of Cryptosporidium is higher than 50% in the milking farms studied from the Valdivia province. No difference between the Ziehl-Neelsen and Auramine staining techniques was demonstrated showing very consistent results. It was possible to detect that the number of farms infected correspond to 100% of the farms analyzed

Cryptosporidium spp., comparative diagnosis and geospatial distribution in diarrheic calves from dairy farms, Valdivia, Chile

Objective. To determine the Cryptosporidium spp. infection frequency by using Ziehl-Neelsen and Auramine stains on samples obtained from diarrheic calves from milking farms of the Valdivia province. To compare both diagnostic tests and to determine the geospatial distribution of the infections caused by this protozoan. Materials and methods. 221 fecal samples of diarrheic calves of 24 milking farms of the Valdivia province were studied. The processing and analysis of the samples was done by Ziehl-Neelsen (ZN) and Auramine (AU) staining techniques, and the results were compared by McNemar statistical test and the concordance level was determined by kappa index. A map was also generated to determine the geospatial distribution of Cryptosporidium infections. Results. 57.9% of all the animals tested were classified as positive with the ZN stain test, while 55.6% of all the animals turned out positive for the AU stain test. The McNemar test showed no significant difference between both diagnostic techniques (p>0.05), while the kappa index showed proper concordance between tests (κ=0.73). 100% of the farms studied showed protozoan presence demonstrating the broad distribution of the parasite, however, and considering the previous factor, it was not possible to determine geospatial associations for the parasite distribution. Conclusions. The infection frequency of Cryptosporidium is higher than 50% in the milking farms studied from the Valdivia province. No difference between the Ziehl-Neelsen and Auramine staining techniques was demonstrated showing very consistent results. It was possible to detect that the number of farms infected correspond to 100% of the farms analyzed

Cryptosporidium spp., comparative diagnosis and geospatial distribution in diarrheic calves from dairy farms, Valdivia, Chile Diagnóstico comparativo y distribución geoespacial de Cryptosporidium spp., en terneros diarreicos en lecherías de Valdivia, Chil

Objective. To determine the Cryptosporidium spp. infection frequency by using Ziehl-Neelsen and Auramine stains on samples obtained from diarrheic calves from milking farms of the Valdivia province. To compare both diagnostic tests and to determine the geospatial distribution of the infections caused by this protozoan. Materials and methods. 221 fecal samples of diarrheic calves of 24 milking farms of the Valdivia province were studied. The processing and analysis of the samples was done by Ziehl-Neelsen (ZN) and Auramine (AU) staining techniques, and the results were compared by McNemar statistical test and the concordance level was determined by kappa index. A map was also generated to determine the geospatial distribution of Cryptosporidium infections. Results. 57.9% of all the animals tested were classified as positive with the ZN stain test, while 55.6% of all the animals turned out positive for the AU stain test. The McNemar test showed no significant difference between both dia