corical: corical Bayesian Network

In bnRep: A Repository of Bayesian Networks from the Academic Literature

corical Bayesian Network

Description

Risk-benefit analysis of the AstraZeneca COVID-19 vaccine in Australia using a Bayesian network modelling framework.

Format

A discrete Bayesian network to perform risk-benefit analysis of vaccination. The probabilities were given in the referenced paper. The vertices are:

Age

(0-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70+);

AZVaccineDoses

(One, Two, Three, Four);

BackgroundCSVTOver6Weeks

(Yes, No);

BackgroundPVTOver6Weeks

(Yes, No);

Covid19AssociatedCSVT

(Yes, No);

Covid19AssociatedPVT

(Yes, No);

DieFromBackgroundCSVT

(Yes, No);

DieFromBackgroundPVT

(Yes, No);

DieFromCovid19

(Yes, No);

DieFromCovid19AssociatedCSVT

(Yes, No);

DieFromCovid19AssociatedPVT

(Yes, No);

DieFromVaccineAssociatedTTS

(Yes, No);

IntensityOfCommunityTransmission

(None, ATAGI Low, ATAGI Med, ATAGI High, One Percent, Two Percent, NSW 200 Daily, NSW 1000 Daily, VIC 1000 Daily, QLD 1000 Daily);

RiskOfSymptomaticInfection

(Yes, No);

RiskOfSymptomaticInfectionUnderCurrentTransmissionAndVaccinationStatus

(Yes, No);

SARSCoV2Variant

(Alpha Wild, Delta);

Sex

(Male, Female);

VaccineAssociatedTTS

(Yes, No);

VaccineEffectivenessAgainstDeathIfInfected

(Effective, Not Effective);

VaccineEffectivenessAgainstSymptomaticInfection

(Effective, Not Effective);

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

Lau, C. L., Mayfield, H. J., Sinclair, J. E., Brown, S. J., Waller, M., Enjeti, A. K., ... & Litt, J. (2021). Risk-benefit analysis of the AstraZeneca COVID-19 vaccine in Australia using a Bayesian network modelling framework. Vaccine, 39(51), 7429-7440.

bnRep documentation built on April 12, 2025, 1:13 a.m.