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Record W4280629129 · doi:10.1002/wsb.1289

Active and passive disease surveillance in wild turkeys ( <i>Meleagris gallopavo</i> ) from 2008 to 2018 in Pennsylvania, USA

2022· article· en· W4280629129 on OpenAlexaff
Amanda M. MacDonald, Joshua B. Johnson, Mary Jo Casalena, Nicole M. Nemeth, Melanie R. Kunkel, Mitchell Blake, Justin D. Brown

Bibliographic record

VenueWildlife Society Bulletin · 2022
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Vectors
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMeleagris gallopavoVeterinary medicineWildlife diseaseDiseaseMedicineBiologyPathology

Abstract

fetched live from OpenAlex

Abstract There are increasing concerns about the effects of disease on wild turkeys ( Meleagris gallopavo ). Yet, many management agencies lack adequate data on wild turkey diseases and pathogens to address this concern. Toward that end, the Pennsylvania Game Commission increased surveillance efforts on wild turkeys beginning in 2013 (referred to hereafter as the enhanced surveillance period). From 2008–2018, 121 wild turkeys from Pennsylvania were submitted for necropsy, with 102/121 (84.3%) submitted during the enhanced surveillance period (2013–2018). We examined cases to determine causes of morbidity/mortality through gross and microscopic examinations and ancillary tests. The most common causes of morbidity/mortality in the examined wild turkeys were avian pox (66/121; 54.5%), chronic dermatitis (15/121; 12.4%), and trauma (10/121; 8.3%). We diagnosed additional diseases for the first time or more frequently during the enhanced surveillance period, including histomoniasis (7/121; 5.7%) and infectious sinusitis (1/121; 0.8%). Skin lesions were the most common cause of submission (94/121; 77.7%) and were most often attributed to avian pox (66/94, 70.2%), chronic dermatitis (15/94; 16.0%), or lymphoproliferative disease (3/94; 3.2%). During 2013–2018, tissues and sera were collected from any diagnostic cases and hunter‐harvested turkeys to create a tissue repository. We used these samples to test for infection or exposure to specific pathogens. We found that 75.3% (61/81) of wild turkeys were positive for lymphoproliferative disease virus, 61.9% (52/84) for Heterakis gallinarum , 28.6% (10/35) for Toxoplasma gondii , and 15.6% (15/32) for Borrelia burgdorferi . We detected antibodies (indicating exposure) to avian paramyxovirus‐1 in 34.9% (22/63) of the wild turkeys and West Nile virus in 21% (13/62), but none were seropositive to influenza A viruses (0/62; 0%). The presence of diseases and pathogens in wild turkeys in Pennsylvania are being defined through active and passive surveillance approaches. Such data can begin to address the broader questions of disease impacts on wild turkey populations.

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 categoriesInsufficient 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 score0.084
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.235
Teacher spread0.226 · 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 routes1
Has abstractyes

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