An investigation of equine infectious anaemia infection in the central Anatolia region of Turkey.

This research investigates the prevalence of equine infectious anaemia infection in various regions of Turkey, using serum samples collected from horses, donkeys, and mules. The study concluded that no positive results were detected in the collected samples.

Research Objectives and Methodology

• The primary aim of this research was to analyse the possible presence and incidence of equine infectious anaemia (EIA) in the central Anatolian region of Turkey. EIA is a severe viral disease that affects horses and other equine animals like donkeys and mules.
• The serum samples of 162 horses, 80 donkeys, and 51 mules from Konya city were collected for examination. Additionally, 64 horse serum samples from Ankara and 49 samples from Kayseri city were also examined.
• Overall, a total of 406 serum samples were tested using agar gel immunodiffusion (AGID) and enzyme-linked immunosorbent assay (ELISA). AGID and ELISA are diagnostic methods used to detect the presence of antibodies against the EIA virus (EIAV) in serum samples.

Research Findings

• The outcome of the study revealed no positive results for EIAV in all the serum samples tested. Despite the rigorous diagnostic procedures, EIAV antibodies were not detected in any of the serum samples from the three cities in central Anatolia. This suggests the absence of EIA among the tested equine population in these regions.
• The authors concluded that there was no occurrence of equine infectious anaemia in the examined regions of Ankara, Kayseri, and Konya city in central Turkey.

Significance of the Research

• The absence of EIA in the examined regions highlights the success of measures taken to control the disease, indicating an effective equine health management policy in central Anatolia, Turkey.
• The findings of this study could provide a basis or starting point for future research into the incidence and prevalence of EIA in other regions and countries. It could also offer vital data to comparative studies exploring geographical disease distribution patterns.