Computational tools to fit data, simulate and calibrate parameters of the compartmental epidemiological SEIQRDP model.
Project description
COVID-19 mathematical modeling
This repository is aimed to contain the programs used for dynamical modeling of COVID-19 spread with SEIQRDP compartmental model. It is described in this paper by Mohamed Taha Rouabah, Abdellah Tounsi, and Nacer Eddine Belaloui.
This repository will also contain an agent-based program for epidemic spread simulation in the near future.
seiqrdp_model
This package includes computational tools to fit data, simulate and calibrate parameters of the compartmental epidemiological SEIQRDP model using a genetic fitting algorithm and parallel computing techniques.
Architecture
How to install
Using pip (preferred way)
Execute the following line in your command-line interface:
pip install seiqrdp-model
Using setup.py
Download the repository then execute the following line in your command-line interface:
python setup.py install
You need to cd inside the repository folder.
Quick start
The module is fully documented and equiped with all necessary information
about the classes and methods.
Moreover, you are welcome to check launcher.py
file which shows an example of
how to use this module.
Data
- World wide data is sourced and maintained by the John Hopkins University Center for Systems Science and Engineering
- Data for Algeria is provided by Algerian Health Ministry and CDTA
License
This work is licensed under the Apache 2.0 License
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for seiqrdp_model-7.5.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7da10937f4d9f49d4ae916fbcfd49893a1a95aac610c32eb5f7d59aca3061476 |
|
MD5 | ae0b066eb1e41f76f813739b5ff0633d |
|
BLAKE2b-256 | d0d40570c203a11cd58bf2ecf74a365d09f2ba450593f03de8643dda7963ad18 |