Formalizes interventions on EvAMs via Pearl's do-operator for multiple model types, distinguishes killing versus inactivating interventions, and supplies ranking protocols for target prioritization.
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2026 2verdicts
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A new Bayesian multiscale framework with cut inference jointly models heterogeneous viral load trajectories and household transmission, recovering parameters without bias on simulated data when viral sampling is frequent.
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A structural causal framework for interventions on evolutionary accumulation models
Formalizes interventions on EvAMs via Pearl's do-operator for multiple model types, distinguishes killing versus inactivating interventions, and supplies ranking protocols for target prioritization.
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Bayesian inference for disease transmission models informed by viral dynamics
A new Bayesian multiscale framework with cut inference jointly models heterogeneous viral load trajectories and household transmission, recovering parameters without bias on simulated data when viral sampling is frequent.