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Record W4384151770 · doi:10.60014/pmjg.v7i1.142

Chickenpox In Ghana; Is It Time To Consider Universal Immunization?

2022· article· en· W4384151770 on OpenAlexaff
S. Addai, Edem M. A. Tette

Bibliographic record

VenuePostgraduate Medical Journal of Ghana · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Virus Infections Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsChickenpoxImmunizationDiseaseMedicinePediatricsDeveloping countryDisease burdenVaccinationEnvironmental healthIntensive care medicineImmunologyEconomic growthVirus

Abstract

fetched live from OpenAlex

Chickenpox is a very common disease worldwide. It is one of the most frequently reported infectious diseases in North America. Although childhood varicella disease is not usually a life-threatening condition, it can cause major financial and social problems to parents and society from lost working time spent looking after sick children. Besides, there is a large number of unrecognized complications including fatalities from invasive infections. The availability of an effective vaccine, has made universal immunization a cost-effective approach to prevention and minimizing the effects of the disease in some settings. The exact burden of the disease in Ghana and for that matter most of Africa is unknown. Thus, in Ghana, a surveillance system and selective immunization is recommended as more information is gathered on the burden of disease and its impact on Ghana and the rest of Africa.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.242
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.000

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 head0.029
GPT teacher head0.264
Teacher spread0.235 · 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 designNot applicable
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

Citations1
Published2022
Admission routes1
Has abstractyes

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