# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "seairmobility" in publications use:' type: software license: MIT title: 'seairmobility: Mobility-Based SEAIR Epidemic Models' version: 0.1.0 doi: 10.1137/24M1691557 identifiers: - type: doi value: 10.32614/CRAN.package.seairmobility abstract: Tools for simulating, analysing, and fitting mobility-based SEAIR (Susceptible-Exposed-Asymptomatic-Infectious-Recovered) compartmental epidemic models with heterogeneous individual mobility. Each individual carries a fixed mobility trait that scales susceptibility and infectiousness through a rank-one kernel, extending the mobility-based compartmental framework of Jiang et al. (2025) by adding a latent stage and a behavioural split between asymptomatic and symptomatic infectiousness. Provides a numerical solver for the underlying partial differential equation system, closed-form computation of the basic reproduction number R0 and the final epidemic size, and a parametric least-squares routine for recovering the mobility distribution from an observed aggregate symptomatic time series. authors: - family-names: Wang given-names: Weinan email: ww@ou.edu preferred-citation: type: article title: Modeling, inference, and prediction in mobility-based compartmental models for epidemiology authors: - family-names: Jiang given-names: Ning - family-names: Chu given-names: Weiqi - family-names: Li given-names: Yao journal: SIAM Journal on Applied Mathematics year: '2025' volume: '85' issue: '5' doi: 10.1137/24M1691557 start: '2355' end: '2375' repository: https://wwang-math.r-universe.dev commit: c1161aaf46b6ea68f49681a82627e30ed303917c date-released: '2026-04-28' contact: - family-names: Wang given-names: Weinan email: ww@ou.edu