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CANMOD – Tools Resource1 #701015 List of tools created by CANMOD Members, as well as tools that are of particular relevance to CANMOD's initiatives and mission.

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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

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Networks »NetworksNetworks☜Learn more about the five EIDM networks: CANMOD, MfPH, OMNI, OSN, and SMMEID.☜79B9B9

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CANMOD »CANMOD CANMOD ☜CANadian Network for MODelling infectious Disease / Réseau CANadien de MODélisation des maladies infectieuses☜79B9B9

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CANMOD – ToolsCANMOD – Tools☜List of tools created by CANMOD Members, as well as tools that are of particular relevance to CANMODs initiatives and mission.☜C78CB7

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R Epidemics Consortium (RECON) »R Epidemics Consortium (RECON)R Epidemics Consortium (RECON)☜The R Epidemics Consortium (RECON) is an international not-for-profit, non-governmental organisation gathering experts in data science, modelling methodology, public health, and software development to create the next generation of analytics tools for informing the response to disease outbreaks, health emergencies and humanitarian crises, using the R software and other free, open-source resources.☜FFFACD

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covidseir »covidseircovidseir☜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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McMasterPandemic »McMasterPandemicMcMasterPandemic☜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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epigrowthfit »epigrowthfitepigrowthfit☜epigrowthfit is an R package for fitting nonlinear mixed effects models of epidemic growth to collections of one or more disease incidence time series. It can be applied to birth processes other than epidemics, as the statistical machinery is agnostic to the precise interpretation of supplied count data. epigrowthfit is built on Template Model Builder. [1]☜FFFACD

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CovidSim »CovidSimCovidSim☜CovidSim models the transmission dynamics and severity of COVID-19 infections throughout a spatially and socially structured population over time.☜FFFACD

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EpiEstim »EpiEstimEpiEstim☜A tool to estimate time varying instantaneous reproduction number during epidemics.☜FFFACD

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R Packages »R PackagesR Packages☜List of ten most popular R packages in infectious disease modelling as measured by the pkgsearch package (on 2021-06-09).☜FFFACD

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macpan2 »macpan2macpan2☜McMasterPandemic was developed to provide forecasts and insights to Canadian public health agencies throughout the COVID-19 pandemic. The goal of this macpan2 project is to re-imagine McMasterPandemic, building it from the ground up with architectural and technological decisions that address the many lessons that we learned from COVID-19 about software.☜FFFACD

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Entered by:- David Price
NodeID: #701015
Node type: Resource
Entry date (GMT): 9/16/2022 10:42:00 AM
Last edit date (GMT): 9/16/2022 10:56:00 AM
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Incoming cross-relations: 7
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