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New Bayesian method infers epidemic persistence from early data

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new method for inferring epidemic persistence from early observations of a heterogeneous SIS reaction-diffusion model. The study demonstrates that key prevalence dynamics are determined by the difference between transmission and recovery rates, along with infected diffusivity. The paper also establishes Bayesian well-posedness for the SIS system and provides numerical examples illustrating threshold inference and convergence rates. AI

RANK_REASON The cluster contains an academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.0]

Read on arXiv cs.LG →

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New Bayesian method infers epidemic persistence from early data

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The cluster contains an academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Duc-Lam Duong ·

    Bayesian inverse problems and epidemic-threshold uncertainty for a heterogeneous SIS reaction-diffusion model

    arXiv:2611.14468v1 Announce Type: cross Abstract: We study Bayesian inference of persistence from early observations of a heterogeneous susceptible--infected--susceptible (SIS) reaction--diffusion model with standard incidence. We show that the leading prevalence dynamics depend …

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