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Record W2625522284 · doi:10.1155/2017/7615810

Prevalence of<i>Toxoplasma gondii</i>and Other Gastrointestinal Parasites in Domestic Cats from Households in Thika Region, Kenya

2017· article· en· W2625522284 on OpenAlexafffund
Amos Njuguna, John Kagira, Simon Karanja, Maina Ngotho, Lucy M. Mutharia, Naomi Maina

Bibliographic record

VenueBioMed Research International · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicToxoplasma gondii Research Studies
Canadian institutionsUniversity of Guelph
FundersJomo Kenyatta University of Agriculture and TechnologyInternational Development Research Centre
KeywordsDipylidium caninumToxocara catiVeterinary medicineIsosporaToxoplasma gondiiBiologyCATSStrongyloides stercoralisStrongyloidesHelminthsAncylostoma caninumFelisAncylostomaFecesToxocariasisToxocara canisMedicineMicrobiologyZoologyInternal medicineImmunology

Abstract

fetched live from OpenAlex

Gastrointestinal (GIT) parasites of domestic cats (Felis catus) not only cause morbidity but are also potential zoonotic agents. The current study aimed at establishing the prevalence of GIT parasites in cats kept by households in Thika region, Kenya. Fecal samples were collected randomly from 103 cats and analyzed for presence of parasites using standard parasitological methods. In descending order, the prevalence of the detected protozoa parasites was Isospora spp. 43.7% (95% CI: 40.4–47%), Cryptosporidium spp. 40.8% (95% CI: 37.5–44.1%), Toxoplasma gondii 7.8% (95% CI: 4.5–11.1%), and Entamoeba spp. 2.9% (95% CI: 1.6–6.2%). The prevalence of the observed helminths was Strongyloides stercoralis 43.7% (95% CI: 40.4–47%), Toxocara cati 23.3% (95% CI: 20–26.6%), Ancylostoma spp. 9.7% (95% CI: 6.4–13%), Dipylidium caninum 8.7% (95% CI: 5.4–12.0%), and Acanthocephala spp. 1.9% (95% CI: 1–4.2%). The percentage of cats excreting at least one species of parasite was 73.2% (95% CI = 69.9–76.5%). The study shows that the cats have high spectrum (9) of parasites which are known to affect the cat’s health and some are of zoonotic significance.

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)0.001
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 score0.093
Threshold uncertainty score0.646

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.079
GPT teacher head0.383
Teacher spread0.304 · 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".

Quick stats

Citations32
Published2017
Admission routes2
Has abstractyes

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