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Record W4306914059 · doi:10.1089/vbz.2022.0036

Emerging Tick-Borne Pathogens in Central Canada: Recent Detections of <i>Babesia odocoilei</i> and <i>Rickettsia rickettsii</i>

2022· article· en· W4306914059 on OpenAlexaffabout
Kirsten E. Crandall, Jeremy T. Kerr, Virginie Millien

Bibliographic record

VenueVector-Borne and Zoonotic Diseases · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsMcGill UniversityUniversity of Ottawa
Fundersnot available
KeywordsBiologyAnaplasma phagocytophilumRickettsia rickettsiiIxodes scapularisTickBorrelia burgdorferiBabesiaTick-borne diseaseBorreliaVirologySpotted feverIxodidaeRickettsiaGenetics

Abstract

fetched live from OpenAlex

Background: The spread of emerging tick-borne pathogens has steadily increased in Canada with the widespread establishment of tick vectors and vertebrate hosts. At present, Borrelia burgdorferi , the bacterium causing Lyme disease, is the most common tick-borne pathogen in Canada and primarily transmitted by Ixodes scapularis . A low prevalence of other emerging tick-borne pathogens, such as Anaplasma phagocytophilum , Babesia species, Borrelia miyamotoi , and Francisella tularensis have also been detected through surveillance efforts in Canada. Although Rickettsia rickettsii has been historically detected in Haemaphysalis leporispalustris in Canada, the current prevalence and geographic extent of this pathogen is unknown. Material and Methods: In this study, we assessed the presence and prevalence of several emerging tick-borne pathogens in ticks and hosts collected through tick dragging and small mammal trapping in Central Canada. Results: Nested PCR testing detected three pathogen species in ticks, with Babesia odocoilei and B. burgdorferi in I. scapularis in addition to R. rickettsii in H. leporispalustris . Three pathogen species were detected in small mammals by nested PCR including B. odocoilei in Blarina brevicauda , Babesia microti in Peromyscus leucopus , and a Hepatozoon species in P. leucopus and Peromyscus maniculatus . B. burgdorferi and Babesia species were the pathogens most often detected in our samples, suggesting they are widely distributed across Central Canada. We also detected B. odocoilei and R. rickettsii beyond their known geographic distribution. Conclusions: Our results provide evidence that emerging tick-borne pathogens may be present outside defined risk areas identified by current surveillance efforts in Canada. As a result, emerging tick-borne pathogens introduced by the dispersal of infected ticks by migratory birds or maintained by hosts and vectors through cryptic transmission cycles may go undetected. More comprehensive testing including all tick life stages and additional tick-borne pathogens will help detect the spread and potential risk of emerging or re-emerging tick-borne pathogens for human and wildlife populations throughout Canada.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.208
Teacher spread0.200 · 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.

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

Citations11
Published2022
Admission routes2
Has abstractyes

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