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comma

An agent-based microsimulation model to study mental health outcomes during covid-19 lockdowns

https://github.com/covid19abm/comma

Science Score: 44.0%

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Keywords

abm covid-19 python simulation
Last synced: 6 months ago · JSON representation ·

Repository

An agent-based microsimulation model to study mental health outcomes during covid-19 lockdowns

Basic Info
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 5
Topics
abm covid-19 python simulation
Created almost 3 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation

README.md

COMMA - COvid Mental-health Model with Agents

comma lets you run agent-based simulations to study mental health outcomes during covid-19 lockdowns.

Project status

Python package pages-build-deployment Docs Quality Gate Status github license badge OpenSSF Best Practices Coverage Code style: black

Why?

This project aims at understanding the full spectrum of impacts the lockdown policies had during the COVID-19 pandemic, specifically on non-COVID-19-related health outcomes, such as mental health. Although lockdowns reduced disease transmission and mortality, they also potentially exacerbated mental health issues. By using comma you can simulate real-world scenarios, and estimate/compare the effects of lockdown policies on the mental health of an a-priori defined population across time.

Table of contents

Installation

Prerequisites

  • Python 3.6 or above

Install from source

We recommend installing comma in a virtual environment. For example, in conda: bash conda create --name comma_env conda activate comma_env

Then installing comma with pip by cloning the github repository locally: ```bash git clone git@github.com:covid19ABM/comma.git cd comma python -m pip install .

```

That's it! After following these steps, you should have comma installed in a dedicated virtual environment and be ready to use it.

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Example

You can find a tutorial that demonstrates the usage of comma in the /notebooks folder.

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License

comma is under free open source Apache License Version 2.0. This means that you're free to use, modify, and distribute this software, even for commercial applications.

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Diagram

diagram

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Credits

This is a project funded by the Netherlands eScience Center (Grant ID: NLESC.SSI.2022b.022) and awarded to Dr Kristina Thompson (Wageningen University) and developed in collaboration with the Netherlands eScience Center. More information on the Research Software Directory.

mhm

An agent-based simulation model to study mental health outcomes during covid-19 lockdowns

Owner

  • Name: covid19ABM
  • Login: covid19ABM
  • Kind: organization

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: comma - COvid Mental-health Model with Agents
message: >-
  comma lets you run agent-based simulations to study mental
  health outcomes during covid-19 lockdowns.
type: software
authors:
  - given-names: Eva
    family-names: Viviani
    email: e.viviani@esciencecenter.nl
    affiliation: Netherlands eScience center
    orcid: 'https://orcid.org/0000-0002-1330-0585'
  - given-names: Ji
    family-names: Qi
    email: j.qi@esciencecenter.nl
    affiliation: Netherlands eScience center
    orcid: 'https://orcid.org/0000-0001-8074-2730'
  - orcid: 'https://orcid.org/0000-0002-0013-2295'
    given-names: Astrid Anh
    family-names: Pham
    affiliation: >-
      Wageningen University & Research - Wageningen Social
      Science Group (WUR-SSG)
  - given-names: Kristina
    family-names: Thompson
    email: kristina.thompson@wur.nl
    affiliation: >-
      Wageningen University & Research - Wageningen Social
      Science Group (WUR-SSG)
    orcid: 'https://orcid.org/0000-0002-2570-3365'
repository-code: 'https://github.com/covid19ABM/comma'
url: 'https://covid19abm.github.io/comma/'
abstract: >-
  This project aims at understanding the full spectrum of
  impacts the lockdown policies had during the COVID-19
  pandemic, specifically on non-COVID-19-related health
  outcomes, such as mental health. Although lockdowns
  reduced disease transmission and mortality, they also
  potentially exacerbated mental health issues. By using
  comma you can simulate real-world scenarios, and
  estimate/compare the effects of lockdown policies on the
  mental health of an a-priori defined population across
  time.
keywords:
  - microsimulation
  - ABM
  - COVID-19
  - python
license: Apache-2.0

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