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Record W4407510308 · doi:10.1016/j.azn.2025.02.002

Monkeypox immunity: A landscape of host-virus interactions, vaccination strategies, and future research horizons

2025· article· en· W4407510308 on OpenAlexaff
Md. Salauddin, Qingcong Zheng, Mohammad Shaz Murtuza, Chunfu Zheng, Md. Golzar Hossain

Bibliographic record

VenueAnimals and zoonoses. · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPoxvirus research and outbreaks
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMonkeypoxHost (biology)New horizonsVirologyImmunityVaccinationVirusBiologyEcologyImmunologyImmune systemEngineering

Abstract

fetched live from OpenAlex

Monkeypox virus (MPXV) is the cause of monkeypox (mpox), which is a viral zoonotic disease similar to smallpox. It is currently a re-emerging and a cause of global concern for human health. The emergence has been attributed to the decrease in vaccination rates due to the eradication of smallpox disease, as well as a decrease in the immune response to MPXV. Multiple insights into the immune response to the virus and personalized vaccination based on the immune system of the individual may help to elucidate the prevention of this disease. This review discusses the immune response of the host following the infection of the virus and the ability of the virus to evade this immune system. Various vaccines that have already been developed or vaccines at developing stages to prevent this disease have also been developed. However, in addition, future directions include monitoring the disease, particularly in endemic regions, to prevent its spread in non-endemic regions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.026
GPT teacher head0.335
Teacher spread0.309 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2025
Admission routes1
Has abstractyes

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