Clinical Case Studies on Animal Diseases and Evaluation of EDDIE Smartphone Based Mobile Application as a Diagnostic Aid Tool in Bishoftu and Modjo Towns, Central Ethiopia
| dc.contributor.advisor | Dr. Sisay Girma | |
| dc.contributor.advisor | Takele Beyene (Assoc. Prof.) | |
| dc.contributor.author | Waktole Yadeta | |
| dc.date.accessioned | 2023-12-09T13:31:25Z | |
| dc.date.available | 2023-12-09T13:31:25Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Ethiopia has the highest livestock population in Africa and ranks 10th globally. However, animal disease is one of the bottle neck leading to a significant economic losses in the sector. Central Ethiopia, particularly Bishoftu and Modjo towns are among the areas affected by animal diseases. This study was undertaken to study and report cases of diseases in animals presented to animal health facilities in Bishoftu and Modjo towns between October 2020 to March 2021 and November 2022 to May 2023, and evaluate the Ethiopia differential diagnosis and investigation center (EDDIE) smartphone-based mobile application as a veterinary diagnostic aid tool. The study used a descriptive case study design and purposive sampling to include animals from different species. Case reports followed protocols including history taking, physical and clinical examination, and EDDIE app as a diagnostic aid tool, laboratory investigation, case management, follow-up, and discussion. Cattle accounted for 35% (7/20) of the reported cases in the study, sheep for 30% (6/20), goats for 5% (1/20), horses for 5% (1/20), chicken for 15% (3/20), and dogs for 10% (2/20). Tentative and laboratory diagnoses revealed that viruses caused 25% (5/20) of the diseases, bacteria 25% (5/20), parasites 25% (5/20), metabolic disorders 10% (2/20), unknown causes 10% (2/20), and foreign bodies 5% (1/20). Of the 20 cases, 75% (15/20) recovered, 10% (2/20) died, and 10% (2/20) underwent post-mortem examination. EDDIE app diagnosed 15 cases (7 cattle, 6 sheep, 1 goat, and 1 horse) but doesn't support poultry and canine diseases. The app correctly matched a confirmatory diagnoses in 8 cases, relatively matched in 2 cases, mismatched in 2 cases, and couldn't diagnose 3 cases (disease not registered on the app). Generally, the study provides valuable insight into animal diseases in the study area and the efficacy of the EDDIE app as a diagnostic aid tool. Therefore, it is recommended that veterinary practitioners in the study area and beyond should make early diagnosis and treatment of animal diseases using suitable tools like EDDIE. Research and development of EDDIE app should continue to improve its accuracy in diagnosing diseases and expand its coverage to more animal species. Additionally, appropriate measures, including training and support, should be put in place to help prevent and control animal diseases in the study area, and beyond. | |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/509 | |
| dc.language.iso | en | |
| dc.publisher | Addis Ababa University | |
| dc.subject | Animal Disease | |
| dc.subject | Case reports | |
| dc.subject | EDDIE App | |
| dc.subject | Bishoftu | |
| dc.subject | Modjo | |
| dc.subject | Ethiopia | |
| dc.title | Clinical Case Studies on Animal Diseases and Evaluation of EDDIE Smartphone Based Mobile Application as a Diagnostic Aid Tool in Bishoftu and Modjo Towns, Central Ethiopia | |
| dc.type | Thesis |