Items corresponding to entire populations or subpopulations. Might be geographically or temporally temporally limited.

population

PyRoss provides an integrated platform for inference, forecasts and non-pharmaceutical interventions in structured epidemiological compartment models. PyRoss requires Python and common scientific computing libraries (such as NumPy and SciPy) and is designed to run in standard Python environments. The package supports epidemic forecasting, age-structured modeling, etc., with documentation and example applications available to help researchers understand and apply the tool.

non-collection specific

(Simple) Released

English

MIT License

The PyRoss Team

Python is a high-level, interpreted programming language known for its readability and broad applicability in web development, data science, and automation.

Python

PyRoss: A Python Library for Epidemiological Modeling

Descriptors of the behavior of an outbreak

modeling

Modeling

Projections of outbreak behavior into some future time, determined relative to a defined starting point. Might include retrospective projects or projections for current activitiy (known as "now-casting").

forecasting

Forecasting

Forecasts based on SIR (Susceptible, Infected, Recovered) models or any of the many variants of this basic famework.

compartmental models

Compartmental Models

modeling purpose

Modeling Purpose

The method or type of model used to achieve the purpose.

modeling method

Modeling Method

a statistical model is an information content entity which is a formalization of relationships between variables in the form of mathematical equations. A statistical model describes how one or more random variables are related to one or more other variables. The model is statistical as the variables are not deterministically but stochastically related.

statistical model

Statistical Model

A Bayesian model is a statistical model where inference is based on using Bayes theorem to obtain a posterior distribution for a quantity (or quantities) of interest for some model (such as parameter values) based on some prior distribution for the relevant unknown parameters and the likelihood from the model.

Bayesian model

Bayesian Model

Software is a plan specification composed of a series of instructions that can be interpreted by or directly executed by a processing unit.

software

Written programs or procedures or rules and associated documentation pertaining to the operation of a computer system and that are stored in read/write memory.

Package

Digital Object Type

Topic

Apache 2.0

Schema.org vocabulary for structured data on the web

Schema.org

Dublin Core Metadata Initiative Terms - refined elements for precise resource description

DCMI Metadata Terms

Provenance, Authoring and Versioning ontology for metadata about web resources

PAV Ontology

W3C Provenance Ontology for describing provenance information

PROV Ontology

Custom MIDAS vocabulary for epidemiological data and modeling

MIDAS Metadata Vocabulary

JSON Schema (Draft 2020-12) defining the structure of MIDAS Catalog JSON-LD metadata records

MIDAS Catalog JSON-LD Schema

Searchable collection of curated datasets and software resources for infectious disease modeling, filterable by disease, topic, location, and time period.

Identifier	URL: https://github.com/SoftMatterGroupCambridge/pyross
Type	Software Package
Topics/About	Modeling Modeling Method Compartmental Models Statistical Model Bayesian Model Modeling Purpose Forecasting
Language	English
License	MIT License
Rights	https://github.com/SoftMatterGroupCambridge/pyross?tab=MIT-1-ov-file
Accessible For Free	TRUE
Biological Scale	population
Software Language	Python
Version	2.2.1
HTTP Status Code	200
HTTP Checked On	2026/09/27