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).
Last updated 4 years ago
4.80 score 6 stars 21 scripts 217 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>.
Last updated 5 years ago
bayesian-inferencedistanceepidemic-dataepidemicsinfectious-disease-modelskerneltypenetworkplots
3.65 score 6 stars 15 scripts 205 downloads