Tsetse fly distribution and occurrence of Trypanosoma species among cattle and goats around Queen Elizabeth National park, Uganda
Bibliographic record
Abstract
Abstract Background African Animal Trypanosomiasis (AAT) is an infectious disease of economic and public health importance hindering agricultural productivity in Sub-Saharan Africa. The current study aimed at providing baseline information on tsetse fly distribution and occurrence of Trypanosoma species in cattle and goats within and around Queen Elizabeth National Park (QENP), in western Uganda. A minimal entomological survey was conducted in April 2017 while blood samples collected from cattle (n = 576) and goats (n = 319) in June 2015 and May 2017 were subjected to microscopy and Polymerase Chain Reaction (PCR) to determine the occurrence of trypanosome species. Results Glossina pallidipes and G. fuscipes were the only tsetse fly species trapped in the study area with apparent density of 20.6. The overall prevalence of Trypanosoma spp. in cattle and goats was 38.9% and 37% respectively for samples collected in 2015 while the prevalence of Trypanosome spp in cattle samples collected in 2017 was 38%. In 2015, T. brucei was the highest prevalent trypanosome in both cattle (23%) and goats (18.8%). In both cattle and goats, a mixed infection of T. brucei + T. congolense was most encountered with prevalence of 4.8% and 4.1% in cattle and goats, respectively. In goats a mixed infection of T. brucei + T. congolense + T. vivax was higher (2.8%) than in cattle (2.4%). In 2017, in cattle (n = 250), the prevalence for T. congolense was 32.4%, T. vivax was 6.8% and T. brucei was 6.4%. A co-infection of T. brucei and T. congolense was most prevalent (7.4%). Only 3.2% of the cattle were co-infected with all the three Trypanosome species. Conclusions Current findings show that there are two types of Tsetse fly specie, s important in transmission of AAT. Presence of these parasites in goats shows that they also play a key role in epidemiology of the disease and control efforts should aim also involve goat farmers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".