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- Title
A COMBINED APPROACH OF MULTIPLE CORRESPONDENCE ANALYSIS AND HIERARCHICAL CLUSTER ANALYSIS FOR PROFILING RELATIONSHIPS AMONG CATEGORICAL RISK PREDICTORS: A BLUETONGUE CASE STUDY.
- Authors
El-Araby, Iman E.; Moawed, Sherif A.; Hassan, Fardos A. M.; Gouda, Hagar F.
- Abstract
Bluetongue (BT) is a non-contagious virus in the Reoviridae family that infects both wild and domestic animals. It causes economic losses and reduces infected animals’ production and reproduction. This study aims to show the utility of MCA and HCCA in identifying relationships between categorical variables used as risk factors for Bluetongue disease. Six categorical variables (age, sex, season, species, locality, and BT serotyping) of 233 apparently healthy animals were screened for studying BT. Based on visualized information of MCA and HCA among variable categories, disease profiles were identified. The first two MCA dimensions retained up to 27% of the total inertia contained in the data. The positive BT results, summer, and old animals categories were loaded in the first dimension, while negative cases, Al-mounfia and winter categories were related to the second dimension. HCA identified three clusters. Cluster 1 was characterized by frequent and largely exclusive seronegative BT animals 91.67 % of animals in the cluster were seronegative, negative BTV category is the most important and related to cluster 1 with positive v-test=8.75. Cluster 3 can named a cluster of seropositive BT, up to 88% of cases were seropositive. We can conclude that seropositive BT is associated with summer and old age categories, whereas seronegative BT is associated with young age and winter categories, and thus MCA and HCA provide convenient and easy-to-interpret analytical tools for assessing categorical data relationships.
- Subjects
BLUETONGUE; DISEASE risk factors; HIERARCHICAL clustering (Cluster analysis); CLUSTER analysis (Statistics); WINTER; OLD age
- Publication
Slovenian Veterinary Research / Slovenski Veterinarski Zbornik, 2023, Vol 60, p307
- ISSN
1580-4003
- Publication type
Article
- DOI
10.26873/SVR-1608-2022