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Stochastic
Function
1
#686173
Immediately related elements
How this works
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EIDM »
EIDM
EIDM ☜The Emerging Infectious Diseases Modelling Initiative (EIDM) – by the Public Health Agency of Canada and NSERC – aims to establish multi-disciplinary network(s) of specialists across the country in modelling infectious diseases to be applied to public needs associated with emerging infectious diseases and pandemics such as COVID-19. [1]☜F1CEB7
▲
Software »
Software
Software☜Learn more about the software being used across the EIDM network.☜C78CB7
▲
Software functionality »
Software functionality
Software functionality☜☜8CC79C
■
Stochastic
Stochastic☜☜8CC79C
◄
COVID Prevalence Estimate »
COVID Prevalence Estimate
COVID Prevalence Estimate☜An implementation of Bayesian inference and prediction of COVID-19 point-prevalence.☜FFFACD
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covidseir »
covidseir
covidseir☜covidseir fits a Bayesian SEIR (Susceptible, Exposed, Infectious, Recovered) model to daily COVID-19 case data. The package focuses on estimating the fraction of the usual contact rate for individuals participating in physical distancing (social distancing). The model is coded in Stan. The model can accommodate multiple types of case data at once (e.g., reported cases, hospitalizations, ICU admissions) and accounts for delays between symptom onset and case appearance. [1]☜FFFACD
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Dempster-Shafer Bayesian Network inference package »
Dempster-Shafer Bayesian Network inference package
Dempster-Shafer Bayesian Network inference package☜DS-BN is a C++ executable that accepts input data related to probabilistic belief networks and Dempster-Shafer belief networks through the use of files. According to provided instructions from one of the files, performs computations and writes inferred probability distributions or Dempster-Shafer models into an output file. [2]☜FFFACD
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diseasemapping »
diseasemapping
diseasemapping☜[Archived on 21 March 2022]☜FFFACD
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Efficacy of quarantine »
Efficacy of quarantine
Efficacy of quarantine☜R files linked to the paper Quarantine and the risk of COVID-19 importation [2]☜FFFACD
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epi base package for SyncroSim »
epi base package for SyncroSim
epi base package for SyncroSim☜A scenario-based modelling framework for generating locally relevant forecasts of COVID-19☜FFFACD
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EpiILM »
EpiILM
EpiILM☜The R package EpiILM 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).☜FFFACD
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EpiILMCT »
EpiILMCT
EpiILMCT☜The R package EpiILMCT 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 contact network-based models within Susceptible-Infectious-Removed (SIR) or Susceptible-Infectious-Notified-Removed (SINR) compartmental frameworks. [2]☜FFFACD
◄
Estimating the infection fatality rate of Covid-19 »
Estimating the infection fatality rate of Covid-19
Estimating the infection fatality rate of Covid-19☜Estimating the infection fatality rate of Covid-19 using demographics data and deaths records from Italys hardest hit area. [1]☜FFFACD
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geostatsp »
geostatsp
geostatsp☜[Archived on 2021-12-09]☜FFFACD
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localEM »
localEM
localEM☜localEM is an R package that implements the kernel smoothing local-EM algorithm for estimating spatial risk on areal disease data. [1]☜FFFACD
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Mathematical epidemiology in a data-rich world »
Mathematical epidemiology in a data-rich world
Mathematical epidemiology in a data-rich world☜An exciting trend for modellers, which started 5–10 years ago and is becoming increasingly common, are open data initiatives. Such initiatives see governments (local or higher) create portals where data is centralised and made accessible, usually with very few constraints.☜FFFACD
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McMasterPandemic »
McMasterPandemic
McMasterPandemic☜Compartmental epidemic models for forecasting and analysis of infectious disease pandemics: contributions from Ben Bolker, Jonathan Dushoff, David Earn, Weiguang Guan, Morgan Kain, Michael Li, Irena Papst, Steve Walker (in alphabetical order).☜FFFACD
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MultiBD »
MultiBD
MultiBD☜MultiBD is an R package for direct likelihood-based inference of multivariate birth-death processes. [1]☜FFFACD
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pathogen.jl »
pathogen.jl
pathogen.jl☜Simulation, visualization, and inference tools for modelling the spread of infectious diseases with Julia☜FFFACD
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python Population Modeller »
python Population Modeller
python Population Modeller☜The pyPM.ca software was developed to study and characterize the CoViD-19 epidemic.☜FFFACD
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PyCoMod »
PyCoMod
PyCoMod☜PyCoMod is a Python package for building and running compartment models derived from systems of differential equations such as the Susceptible-Infectious-Recovered (SIR)model of infectious diseases.☜FFFACD
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Stochastic simulations of classroom-level COVID-19 outbreaks »
Stochastic simulations of classroom-level COVID-19 outbreaks
Stochastic simulations of classroom-level COVID-19 outbreaks☜This repository contains code associated with a preprint exploring COVID-19 outbreaks in classrooms, and how these might be managed with several different protocols: COVID-19s unfortunate events in schools: mitigating classroom clusters in the context of variable transmission. [1]☜FFFACD
◄
SyncroSim »
SyncroSim
SyncroSim☜Delivering geospatial forecasting models direct to decision makers. SyncroSim streamlines the process of delivering your map-based forecasting models to non-technical users☜FFFACD
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Steven Walker
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#686173
Node type:
Function
Įvedimo data (GMT):
10/7/2021 1:44:00 PM
Paskutinės redakcijos data (GMT laikas):
10/7/2021 1:44:00 PM
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