MétaCan
Menu
Back to cohort
Record W4288064420

Seroprevalence of Sars-Cov-2 antibodies among eligible blood donors of Peshawar, Pakistan.

2022· article· en· W4288064420 on OpenAlexaff
Muhammad Nisar Khan, Haleema Khan, Muhammad Shahzad, Muhammad Ibrahim, Muhammad Arif, Zeeshan Kibria, Usman Waheed, Noore Saba, Inayat Shah, Sumera, Yasar Mehmood Yousafzai

Bibliographic record

VenuePubMed · 2022
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMedicineSeroprevalenceOdds ratioABO blood group systemLogistic regressionAntibodyPopulationSerologyPandemicImmunologyInternal medicineCoronavirus disease 2019 (COVID-19)Environmental health
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: To determine the seroprevalence of SARS-CoV-2 antibodies and the associated risk factors among healthy blood donors from Peshawar Pakistan, during the second and third waves of the COVID-19 pandemic. METHODS: The study was conducted on 4047 healthy (with no history or symptoms of COVID-19) blood donors attending regional blood center Peshawar between Nov 2020 and June 2021. Demographic data was collected and donors were screened for the presence of anti-SARS-CoV-2 antibodies using electrochemiluminescence immunoassay (ECLIA). RESULTS: -value ≤0.0001). CONCLUSIONS: Seropositivity of SARS-CoV-2 antibodies among blood donors gradually increased during the second and third wave of the pandemic in Pakistan indicating a widespread prevalence of Covid-19 in the general population. Susceptibility to SARS-CoV-2 varies with ABO blood types, with blood group O associated with low risk of infection.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.028
GPT teacher head0.269
Teacher spread0.241 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicBlood groups and transfusionFrench-language works237,207