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Record W4386847694 · doi:10.1097/ms9.0000000000001313

Upsurge of Powassan virus disease in northeastern United States: a public health concern—a short communication

2023· article· en· W4386847694 on OpenAlexaboutno aff
Heeba Anis, Ece Karabulut, Mert Uzun, Angad Tiwari, Abubakar Nazir, Olivier Uwishema

Bibliographic record

VenueAnnals of Medicine and Surgery · 2023
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Vectors
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOutbreakPublic healthDiseaseYellow feverEnvironmental healthZika virusVirusVirologyPathology

Abstract

fetched live from OpenAlex

primarily transmitted through ticks in North America which is a significant public health threat in the northeastern United States. POWV infection spans from Ontario to the Mid-Atlantic, Northeast, and Midwest regions in the USA. Climate change, ecological factors, and human-related changes, including shifts in migration and agriculture, contribute to the dissemination of POWV. Symptoms include sore throat, fatigue, headache, and severe neuroinvasive conditions. Specialized attention is required for diagnosing and managing. MRI scans detect central nervous system abnormalities, while neuromonitoring identifies metabolic distress. Severe cases may necessitate ICU hospitalisation with continuous monitoring. Prevention measures, such as awareness, controlling mammals, and protecting pets, reduce POWV infection risk. The recent outbreak of POWV in Maine, USA, highlights the importance of worldwide collaboration for prevention. With the global prevalence of POWV increasing due to climate and socioeconomic changes, implementing preventative measures and promoting awareness are crucial in reducing infection risk.

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)0.002
metaresearch head score (Gemma)0.000
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 score0.038
Threshold uncertainty score0.767

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.000
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 head0.313
GPT teacher head0.416
Teacher spread0.103 · 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

Citations6
Published2023
Admission routes1
Has abstractyes

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