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Record W3189918051 · doi:10.21203/rs.3.rs-63013/v1

Situation Analysis of Ticks and Seroprevalence of Theileria Parva in Two Farming Systems in Two Districts of Uganda.

2020· preprint· en· W3189918051 on OpenAlexfundno aff
Stephen Kwesiga, J. Okello-Onen, Simon Ogwal Byenek, William Otim-Nape

Bibliographic record

VenueResearch Square (Research Square) · 2020
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicVector-Borne Animal Diseases
Canadian institutionsnot available
FundersDirectorate for Biological SciencesInternational Development Research Centre
KeywordsTheileria parvaSeroprevalenceTick infestationAmblyomma variegatumTickVeterinary medicineLivestockAcaricideBiologyEast Coast feverTanzaniaHerdRhipicephalusAgricultureEpidemiologyIxodidaeGeographyEcologyMedicineSerologyImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background : In Uganda, livestock supports the livelihoods of poor people, fulfilling multiple-economic, social, and risk management functions. However, its productivity is constrained by ticks and tick-borne diseases (TTBDs), more importantly, East Cost Fever (ECF) whose epidemiology is not well known and understood in the cattle corridor. Methodology: A cross-sectional study was carried out in pastoral and mixed crop-livestock farming systems in Nakaseke and Nakasongola districts to understand the; local composition of ticks, the prevalence of Theileria parva and management of ECF and ticks. A structured closed-ended questionnaire was administered in (189) pastoral and (197) mixed-crop livestock households which were randomly selected, and a total of 384 calves were sampled. The tick challenge was assessed in situ on one side of the animal body considering different predilection sites. The prevalence of ECF was assessed by collecting whole blood in Ethylene Diamine Tetra acetic Acid (EDTA) tubes following veni-puncture. Thin and thick blood smears were made and serum samples were collected for determination of seroprevalence of ECF, using Enzyme-Linked Immunosorbent Assay (ELISA). Results/Discussion: From a sample of 384 cattle surveyed, 316 (82.3%) were found to be infested with ticks of different species at their preferential predilection sites. Rhipicephalus. appendiculatus was the most abundant tick species (88.2%), followed by Ambryomma. variegatum (7.5%) and lastly Rhipicephalus. evertsi evertsi (4.3%). 80.7% of respondents believe that there was a tick infestation problem severe and ticks were managed on regular basis mainly by using acaricides (65.3%). In the pastoral farming system, no ticks were found on calves below 6 months old. The seroprevalence of T. parva was below 20% percentage positivity (pp)in calves below 4 months old, thereafter rising to 65% at 5 months, and then dropping to 20% from the age of 6 to 9 months. In mixed crop-livestock farming system, all age groups of cattle were exposed to tick challenge. The prevalence of T. parva increased from 1-month old calf reaching a peak in 2-3 months old calves but drastically dropped in calves 4 months old. Thereafter, it gradually built up to 70% in animals 7 months old. There was a moderate correlation between the mean number of R. appendiculatus ticks and seroprevalence of T. parva (r =0.47) and there was no significant difference between age category and percentage positivity of T. parva (p = 0.969). However, there was a relationship between mean number of ticks and farming system (p = 0.019) as well as percentage positivity of T. parva and farming system (p = 0.007) Conclusion: ECF was prevalent in the two farming systems albeit frequent application of acaricides on animals as reported by most of the respondents. Further longitudinal studies required to assess seasonal variations of TTBDs, prevalence of other tick-borne diseases and acaricide resistance status.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.008
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.147
GPT teacher head0.427
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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