Sığır Tüberkülozu için Genel ve Hastalığa Özgü Risk Değişkenlerinin Analizi
Bu çalışmada, 2017 yılında hastalığın sık görüldüğü ve nadir görüldüğü bölgelerde risk değişkenlerinin sığır tüberkülozu insidansı ile ilişkisi araştırılmıştır. Bu amaçla Türkiye'de Samsun iline bağlı ilçeler sığır tüberkülozu salgınlarının sayısına göre üç risk grubuna ayrılmıştır. Hastalığa özgü risk değişkenleri 300 büyük baş hayvan işletmesinde incelenmiştir. Hayvanların beslenme rejimi, içme suyuna erişimi, yem kaynağı, gübre atıklarının yönetimi, alanda yabani hayvanların varlığı ve 150 metre yakınındaki benzer işletmelerin varlığı hakkında bilgi toplandı. Hastalıkla ilişkili risk değişkenlerinin analizinde 11 değişken değerlendirildi ve toplam bir risk puanı belirlendi. Salgın sayısı ile genel risk skorları arasındaki ilişki anlamlı bulundu (P<0.05). Ayrıca ilçeler arasında hastalığa özgü risk değişkenleri açısından da anlamlı bir fark saptandı (P<0.05). Sonuç olarak, bu çalışmanın sonuçları, bireysel işletmelerin ve belirli alanların sığır tüberkülozu salgınlarına karşı savunmasızlığının belirlenmesine yardımcı olabilir, hastalık salgını riskini azaltabilir ve ayrıca hastalığın erken müdahalesini ve baskılanmasını kolaylaştırabilir.
Analysis of General and Disease-Specific Risk Variables for Bovine Tuberculosis
In this study, the relationship of risk variables to the incidence of bovine tuberculosis in areas where the disease is commonly seen and rarely seen was investigated in the years of 2017. For this purpose, the districts of Samsun Province in Türkiye were divided into three risk groups according to the number of bovine tuberculosis out- breaks. The disease-specific risk variables were surveyed 300 cattle enterprises. Information was collected on the feeding regime of the animals, access of drinking water, the source of feed, the management of the manure waste, the presence of wild animals in the area and the presence of similar enterprises within 150 meters. In the analysis of the risk variables associated with the disease, 11 variables were evaluated and a total risk score was allocated. The rela- tionship between the number of outbreaks and general risk scores was significant (P<0.05). Moreover, a significant difference was determined between the districts in terms of disease-specific risk variables (P<0.05). In conclusion, the results of this study can assist in the determination of the vulnerability of individual farms and particular areas to bovine tuberculosis outbreaks, reduce the risk of disease outbreak, and also facilitate early intervention and suppression of the disease.
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