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  "Title": "Mobility-Based SEAIR Epidemic Models",
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  "Description": "Tools for simulating, analysing, and fitting\nmobility-based SEAIR\n(Susceptible-Exposed-Asymptomatic-Infectious-Recovered)\ncompartmental epidemic models with heterogeneous individual\nmobility. Each individual carries a fixed mobility trait that\nscales susceptibility and infectiousness through a rank-one\nkernel, extending the mobility-based compartmental framework of\nJiang et al. (2025) <doi:10.1137/24M1691557> by adding a latent\nstage and a behavioural split between asymptomatic and\nsymptomatic infectiousness. Provides a numerical solver for the\nunderlying partial differential equation system, closed-form\ncomputation of the basic reproduction number R0 and the final\nepidemic size, and a parametric least-squares routine for\nrecovering the mobility distribution from an observed aggregate\nsymptomatic time series.",
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  "Maintainer": "Weinan Wang <ww@ou.edu>",
  "Repository": "https://wwang-math.r-universe.dev",
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      "title": "seairmobility: Mobility-Based SEAIR Epidemic Models",
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        "seairmobility"
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