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Python Option1 #685212

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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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Software »SoftwareSoftware☜Learn more about the software being used across the EIDM network.☜C78CB7

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Software languages »Software languagesSoftware languages☜☜76A4CF

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PythonPython☜☜76A4CF

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COVID Prevalence Estimate »COVID Prevalence EstimateCOVID Prevalence Estimate☜An implementation of Bayesian inference and prediction of COVID-19 point-prevalence.☜FFFACD

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Open Data Model »Open Data ModelOpen Data Model☜Metadata and code to support covid-19 environmental surveillance for public health. Wastewater-based surveillance for Covid-19, with support for other health risks and environmental settings. [1]☜FFFACD

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python Population Modeller »python Population Modellerpython Population Modeller☜The pyPM.ca software was developed to study and characterize the CoViD-19 epidemic.☜FFFACD

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PyCoMod »PyCoModPyCoMod☜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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SyncroSim »SyncroSimSyncroSim☜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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Prediction Codes »Prediction CodesPrediction Codes☜Dataset of COVID-19 outbreak and potential predictive features in the USA.☜FFFACD

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Pathosim »PathosimPathosim☜A Multi-Pathogen Agent-Based-Model capable of accurately simulating the spread of multiple pathogens in a synthetic population as well as pathogen-pathogen interactions within a host.☜FFFACD

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Covasim »CovasimCovasim☜COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions.☜FFFACD

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SamPy »SamPySamPy☜A New Python Library for Stochastic Spatial Agent-Based Modeling in Epidemiology of Infectious Diseases. [1]☜FFFACD

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plASgraph2 »plASgraph2plASgraph2☜Classifying Plasmid Contigs From Bacterial Assembly Graphs Using Graph Neural Networks.☜FFFACD

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Entrée par: David Price
NodeID: #685212
Node type: Option
Date d'entrée (GMT): 9/26/2021 9:26:00 PM
Date de la dernière modification (Heure GMT): 9/26/2021 9:26:00 PM
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