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Record W4409034080 · doi:10.1016/j.onehlt.2025.101024

One Health approach to hemotropic mycoplasmas (hemoplasmas): Molecular detection in quilombola communities and their dogs in Brazil

2025· article· en· W4409034080 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOne Health · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoUniversidade Estadual de Ponta Grossa
KeywordsBiologyVirologyZoology

Abstract

fetched live from OpenAlex

Hemoplasmas (hemotropic mycoplasmas) are obligatory red blood cell bacteria that may infect and cause anemia in several mammalian species. IAccordingly, the present study assessed four quilombola communities during six on-field expeditions between December 2021 and March 2022 in the central-eastern Paraná State, southern Brazil. Overall, 12/208 (5.8 %) quilombola individuals were positive for hemoplasma infection by qPCR. Results of 16S ribosomal RNA gene sequencing confirmed Mycoplasma heamocanis infection in two human samples. In addition, hemoplasma infection was detected by qPCR in 19/100 (19.0 %) dogs including 16/19 (84.2 %) dogs for Candidatus Mycoplasma haematoparvum, 7/19 (3.7 %) for M. haemocanis , and 4/19 (21.0 %) for both. To the author's knowledge, this is the first One Health approach study of hemoplasma detection in quilombola individuals along with their dogs as vulnerable populations worldwide, with M. heamocanis detection in both human and companion animals.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.015
GPT teacher head0.264
Teacher spread0.249 · 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