Metadata-Version: 2.1
Name: sid-dev
Version: 0.0.3
Summary: Simulate the spread of COVID-19 with different policies.
Home-page: https://github.com/covid-19-impact-lab/sid
Author: Janos Gabler, Tobias Raabe, Klara Röhrl
Author-email: janos.gabler@gmail.com
License: MIT
Project-URL: Tracker, https://github.com/covid-19-impact-lab/sid/issues
Project-URL: Documentation, https://sid-dev.readthedocs.io/en/latest
Project-URL: Github, https://github.com/covid-19-impact-lab/sid
Project-URL: Changelog, https://sid-dev.readthedocs.io/en/latest/changes.html
Description: Simulate the spread of COVID-19 with different policies.
        
        sid
        ===
        
        .. start-badges
        
        .. image:: https://img.shields.io/pypi/v/sid-dev?color=blue
            :alt: PyPI
            :target: https://pypi.org/project/sid-dev
        
        .. image:: https://img.shields.io/pypi/pyversions/sid-dev
            :alt: PyPI - Python Version
            :target: https://pypi.org/project/sid-dev
        
        .. image:: https://img.shields.io/conda/vn/conda-forge/sid-dev.svg
            :target: https://anaconda.org/conda-forge/sid-dev
        
        .. image:: https://img.shields.io/conda/pn/conda-forge/sid-dev.svg
            :target: https://anaconda.org/conda-forge/sid-dev
        
        .. image:: https://img.shields.io/pypi/l/sid-dev
            :alt: PyPI - License
            :target: https://pypi.org/project/sid-dev
        
        .. image:: https://readthedocs.org/projects/sid-dev/badge/?version=latest
            :target: https://sid-dev.readthedocs.io/en/latest
        
        .. image:: https://img.shields.io/github/workflow/status/covid-19-impact-lab/sid/Continuous%20Integration%20Workflow/main
           :target: https://github.com/covid-19-impact-lab/sid/actions?query=branch%3Amain
        
        .. image:: https://codecov.io/gh/covid-19-impact-lab/sid/branch/main/graph/badge.svg
            :target: https://codecov.io/gh/covid-19-impact-lab/sid
        
        .. image:: https://results.pre-commit.ci/badge/github/covid-19-impact-lab/sid/main.svg
            :target: https://results.pre-commit.ci/latest/github/covid-19-impact-lab/sid/main
            :alt: pre-commit.ci status
        
        .. image:: https://img.shields.io/badge/code%20style-black-000000.svg
            :target: https://github.com/psf/black
        
        .. image:: https://sid-dev.readthedocs.io/en/latest/_static/images/interrogate_badge.svg
            :target: https://github.com/econchick/interrogate
        
        .. end-badges
        
        
        Features
        --------
        
        sid is a agent-based simulation-based model for infectious diseases like COVID-19.
        
        sid's focus is on predicting the effects of non-pharmaceutical interventions on the
        spread of an infectious disease. To accomplish this task it is built to capture
        important aspects of contacts between people. In particular, sid has the following
        features:
        
        1. At the core of the model, people meet people based on a matching algorithm. We
           distinguish various types of contacts. Currently, these are households, leisure
           activities, schools, nurseries and several types of contacts at the workplace.
           Contact types can be random or recurrent and vary in frequency.
        
        2. Policies can be implemented as shutting down contact types entirely or partially. The
           reduction of contacts can be random or systematic, e.g., to allow for essential
           workers.
        
        3. Infection probabilities vary across contact types, but are invariant to policies
           which reduce contacts.
        
        4. The model achieves a good fit on German infection and fatality rate data even if only
           the infection probabilities are fit to the data and the remaining parameters are
           calibrated from the medical literature and datasets on contact frequencies.
        
        More information can be found in the `discussion paper
        <https://www.iza.org/publications/dp/13899>`_ or in the `documentation
        <https://sid-dev.readthedocs.io/en/latest/>`_.
        
        
        .. start-installation
        
        Installation
        ------------
        
        sid is available on `PyPI <https://pypi.org/project/sid-dev>`_ and on `Anaconda.org
        <https://anaconda.org/conda-forge/sid-dev>`_ and can be installed with
        
        .. code-block:: bash
        
            $ pip install sid-dev
        
            # or
        
            $ conda install -c conda-forge sid-dev
        
        .. end-installation
        
        
        Publications
        ------------
        
        sid has been featured in some publications which are listed here:
        
        - Gabler, J., Raabe, T., & Röhrl, K. (2020). `People Meet People: A Microlevel Approach
          to Predicting the Effect of Policies on the Spread of COVID-19
          <http://ftp.iza.org/dp13899.pdf>`_.
        
        - Dorn, F., Gabler, J., von Gaudecker, H. M., Peichl, A., Raabe, T., & Röhrl, K. (2020).
          `Wenn Menschen (keine) Menschen treffen: Simulation der Auswirkungen von
          Politikmaßnahmen zur Eindämmung der zweiten Covid-19-Welle
          <https://www.ifo.de/DocDL/sd-2020-digital-15-dorn-etal-politikmassnahmen-covid-19-
          zweite-welle.pdf>`_. ifo Schnelldienst Digital, 1(15).
        
        - Gabler, J., Raabe, T., Röhrl, K., & Gaudecker, H. M. V. (2020). `Die Bedeutung
          individuellen Verhaltens über den Jahreswechsel für die Weiterentwicklung der
          Covid-19-Pandemie in Deutschland <http://ftp.iza.org/sp99.pdf>`_ (No. 99). Institute
          of Labor Economics (IZA).
        
        - Gabler, J., Raabe, T., Röhrl, K., & Gaudecker, H. M. V. (2021). `Der Effekt von
          Heimarbeit auf die Entwicklung der Covid-19-Pandemie in Deutschland
          <http://ftp.iza.org/sp100.pdf>`_ (No. 100). Institute of Labor Economics (IZA).
        
        
        Citation
        --------
        
        If you rely on sid for your own research, please cite it with
        
        .. code-block::
        
            @article{Gabler2020,
              Title = {
                People Meet People: A Microlevel Approach to Predicting the Effect of Policies
                on the Spread of COVID-19
              },
              Author = {Gabler, Janos and Raabe, Tobias and R{\"o}hrl, Klara},
              Year = {2020},
              Publisher = {IZA Discussion Paper}
            }
        
Platform: any
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
