Schmallenberg Virus: Viral Detection, Morphological Identification and a Spatial Distribution Modeling of its Vectors
| dc.contributor.advisor | Dr. Haileleul Negussie, Dr. Samson Leta | |
| dc.contributor.advisor | Dr. Megarsa Bedasa | |
| dc.contributor.author | Getachew, Teka | |
| dc.date.accessioned | 2020-11-12T07:11:06Z | |
| dc.date.accessioned | 2023-11-08T11:36:55Z | |
| dc.date.available | 2020-11-12T07:11:06Z | |
| dc.date.available | 2023-11-08T11:36:55Z | |
| dc.date.issued | 2020-06 | |
| dc.description.abstract | Schmallenberg virus (SBV) is a novel Orthobunyavirus that causes drop milk production, diarrhea, fever, congenital malformation and abortion to the affected animal. First it spread rapidly throughout the European continent and then to other parts of the world. In Ethiopia, there was no previous study conducted on the detection of SBV in Culicoides and ensemble modeling of SBV vectors in Ethiopia. Thus, this study aimed to conduct entomological survey, SBV detection and ensemble modeling of the vectors. An entomological survey was conducted during the study from October, 2019 to May, 2020 in Adama, Bishoftu, Holeta, Jimma, and Sebeta. The result showed that from the total of 6356 adult Culicoides midges collected, C. imicola (32%), C. kings (30%), C. deltus (4%), C.milnei (13%), and not identified (20%) were recorded. Detection of SBV from a total of 29 pools of Culicoides midges containing 70-160 Culicoides/pool was performed using real-time RT-PCR. The results revealed that, none of the Culicoides midges were positive for SBV genome. Ensemble model were developed using predictor variables land cover data, livestock, mean annual maximum temperature, mean annual minimum temperature, precipitation, solar radiation, water vapour and wind. The overall contributions of the variables to the model were mean annual minimum temperature (49.5%) highest and land cover (3.9%) lowest. Of 30 individual models developed, 27 had ROC > 0.90 and 24 had TSS and Kappa > 0.80. The ensemble model of the 30 models showed most parts of Ethiopia are suitable for C. imicola. The suitability differs across zones. High probability of suitability occurs in Borena, Bale, East Hararge, East Shewa, North Shewa, West Shewa, Hadiya, North Wollo, Southern Tigray, and Eastern Tigray while low suitable areas were occurs in Benchimaji, Shaka, Kafa, Gambela, Zone 1 and 2 and Afar Regional State. Thus, our results suggested that more work is needed on viral detection of SBV, modeling of the spatial and temporal situations of both vector and the disease. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/23211 | |
| dc.language.iso | en | en_US |
| dc.subject | Culicoides | en_US |
| dc.subject | Ensemble modeling | en_US |
| dc.subject | Occurrence | en_US |
| dc.subject | Schmallenberg Virus | en_US |
| dc.subject | Viral detection | en_US |
| dc.title | Schmallenberg Virus: Viral Detection, Morphological Identification and a Spatial Distribution Modeling of its Vectors | en_US |
| dc.type | Thesis | en_US |