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EIDM  Â»EIDM 
Software Â»Software
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R Packages Â»R Packages
R Shiny Â»R Shiny
Rmarkdown Â»Rmarkdown
2022/03/03 Technique in Biostatistics and Epidemiology Â»2022/03/03 Technique in Biostatistics and Epidemiology
diseasemapping Â»diseasemapping
epi base package for SyncroSim Â»epi base package for SyncroSim
epigrowthfit Â»epigrowthfit
EpiILM Â»EpiILM
EpiILMCT Â»EpiILMCT
Estimating the infection fatality rate of Covid-19 Â»Estimating the infection fatality rate of Covid-19
geostatsp Â»geostatsp
Hexagonalfan Â»Hexagonalfan
localEM Â»localEM
McMasterPandemic Â»McMasterPandemic
MultiBD Â»MultiBD
Open Data Model Â»Open Data Model
Stochastic simulations of classroom-level COVID-19 outbreaks Â»Stochastic simulations of classroom-level COVID-19 outbreaks
SyncroSim Â»SyncroSim
Age-Patch Mobility Mixing Â»Age-Patch Mobility Mixing
COVID Hospital Surge Â»COVID Hospital Surge
COVID-19 Re - Generation Time Â»COVID-19 Re - Generation Time
Mathematical epidemiology in a data-rich world Â»Mathematical epidemiology in a data-rich world
Efficacy of quarantine Â»Efficacy of quarantine
covidseir Â»covidseir
R Epidemics Consortium (RECON) Â»R Epidemics Consortium (RECON)
macpan2 Â»macpan2
Lecture 12: Introduction to R. Collecting data Â»Lecture 12: Introduction to R. Collecting data
Lectures 9 & 10: Propagating Uncertainty Â»Lectures 9 & 10: Propagating Uncertainty
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