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Record W4386137573 · doi:10.22259/2638-4787.0302004

Global BCG Vaccination Coverage versus Cases and Mortality in the SARS-CoV-2 Pandemic

2020· article· en· W4386137573 on OpenAlexaff
Mayda Gürsel, İhsan Gürsel, Zack Z. Cernovsky

Bibliographic record

VenueArchives of Community and Family Medicine · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune responses and vaccinations
Canadian institutionsWestern University
Fundersnot available
KeywordsPandemicSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)MedicineVaccination2019-20 coronavirus outbreakVirologyOutbreakInfectious disease (medical specialty)DiseaseInternal medicine

Abstract

fetched live from OpenAlex

Background:We examined if BCG vaccination policies adopted by different countries might influence the SARS-CoV-2 transmission patterns and associated morbidity and mortality through the vaccine's capacity to confer heterologous protection. Method: The focus of this study was on the initial impact of SARS-CoV-2 as on March 23, 2020. We compared the number of cases per million and deaths per million of population of 20 countries with a national BCG immunization program and 20 of those that did not have or have ceased their national BCG vaccination programs. Results:The Mann Whitney U-tests was significant (p<.001) for both the number of cases and for number of death per capita.Countries with BCG vaccine coverage had significantly less cases and significantly lower mortality. Discussion and Conclusion:Until a specific vaccine for SARS-CoV-2 is developed, vulnerable populations could be immunized with BCG vaccines to attain heterologous nonspecific protection from the new coronavirus.The choice of the best vaccine strain is important.

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)0.001
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 score0.622
Threshold uncertainty score0.411

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.108
GPT teacher head0.355
Teacher spread0.248 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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