EpiILM - Spatial and Network Based Individual Level Models for Epidemics
Provides tools for simulating from discrete-time individual level models for infectious disease data analysis. This epidemic model class contains spatial and contact-network based models with two disease types: Susceptible-Infectious (SI) and Susceptible-Infectious-Removed (SIR).
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4.48 score 6 stars 6 scripts 451 downloadsEpiILMCT - Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics
Provides tools for simulating from continuous-time individual level models of disease transmission, and carrying out infectious disease data analyses with the same models. The epidemic models considered are distance-based and/or contact network-based models within Susceptible-Infectious-Removed (SIR) or Susceptible-Infectious-Notified-Removed (SINR) compartmental frameworks. An overview of the implemented continuous-time individual level models for epidemics is given by Almutiry and Deardon (2019) <doi:10.1515/ijb-2017-0092>.
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bayesian-inferencedistanceepidemic-dataepidemicsinfectious-disease-modelskerneltypenetworkplotsfortranglibc
3.48 score 6 stars 116 downloads