Start on a project for using genetic algorithms to adjust parameters in an epidemic model
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Updated
Nov 28, 2020 - C++
Start on a project for using genetic algorithms to adjust parameters in an epidemic model
We address the calibration of SEIR-like epidemiological models from daily reports of COVID-19 infections in New York City, during the period 01-Mar-2020 to 22-Aug-2020. Our models account for different types of disease severity, age range, sex and spatial distribution. The manuscript related to such simulations can be found in https://arxiv.org/…
Na tomto úložišti můžeme najít kód, který byl naprogramován k Středoškolské odborné činnost - Využití p-adických čísel v modelování šíření epidemie - Hronová Anna.
Introduction to temporal networks and the activity driven framework with code
Matlab code for the simulation of a zombie outbreak using a compartmental model
Codes related to the project "Threshold-based epidemic dynamics in systems with memory"
It is a skeleton structure for epidemic modelling using SIR models.
Combine and visualize predictions of international periodically updated COVID-19 pandemic models for countries with subnational level estimates: Canada
泰迪杯A题:基于 SEIDR 的疫情数据分析及精准防控研究 Research on epidemic data analysis and precise prevention and control based on SEIDR model
Epidemic Models Estimation and Simulation
Explore strategies of social distancing on epidemic w/ SIR model and R - from Gandon, Lion, Day
Code for modeling RSV resurgence following contact restrictions
Analyzing the spread of the novel Coronavirus COVID-19
Последняя версия симулятора распространения эпидемии и конкуренции разных видов инфекций.
A simple UI to easily build and run custom epidemic models.
A free API that that simulates the epidemic model SIR. Accepts values for different parameters and responds in JSON format.
Vectored GPU based compartmental simulations. Easy to use. With some ABC (Approximate Bayesian Computation) utils
The MetaWards R package. This supports easy install of MetaWards R bindings from GitHub
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