A library containing algorithms to model population dynamics resulting from infectious diseases and more.
Project description
EpidemicsRunner API
CovPred is a Python library that provides various algorithms useful for modeling population dynamics inferred from e.g. infectious diseases. Amongst others, it is used by CovPred in this exact form.
Contents
Installation Notes
General
Just run pip-install covpred
Description
The following algorithms are currently implemented:
| Name | Description |
|---|---|
| SIR | Classical Susceptible-Infected-Recovered ODE Model augmented with a deceased class |
| SEIRD | Extended SIR model accounting for a new class (Exposed) amongst other additions |
| SEIRD_VARA | Extended SIR model paired with variable (over time) infection rate |
| SEIRD_CK | Coupled ODE SEIRD Model to model interaction between the ODE systems |
| SEIRD_PDE | A PDE formulation of the SEIRD model, discretized using Finite Differences |
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file covpred-1.0.2-cp39-cp39-manylinux_2_31_aarch64.whl.
File metadata
- Download URL: covpred-1.0.2-cp39-cp39-manylinux_2_31_aarch64.whl
- Upload date:
- Size: 120.4 kB
- Tags: CPython 3.9, manylinux: glibc 2.31+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2fbb1be0a132f7f02e3eee5d5be0bbfae71f1fafce22a7a5cda643fbfed002d5
|
|
| MD5 |
6a13c229d7637d893b31eda4a07dea5b
|
|
| BLAKE2b-256 |
682722fbcb83223a5fb7aeb22ad2961dbb876dcf3d811bfb6fa6a4fb4816fa38
|
