الفهرس 
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Abstract
The present study was performed using two types of data:
The first dataset is collected from seroprevalence study applied for screening bluetongue in small ruminants of five different localities in Egypt; Sharkia, Monfia, Menia, Giza, and Suis governorates, during the period from April 2018 to March 2019. The data included age, sex, species, locality, and season as risk factors to investigate their effect on bluetongue risk. Two types of analyses used this data: a. machine learning algorithms, and b. multiple correspondence analysis followed by HCCA.
The second dataset included urine samples collected from 290 schoolchildren from primary and preparatory schools in four villages in Beni-Suef governorate from October to November 2018. Collected urine samples were subjected to microscopy for egg detection at the Medical Parasitology Department, Faculty of Medicine, Ain Shams University. The presence of Schistosoma tested by Direct microscopy, Elisa, Nano Elisa, micro-hematuria, and micro-proteinuria. Latent class analysis was performed on this data.