https://github.com/ucl/tlomodel
Epidemiology modelling framework for the Thanzi la Onse project
https://github.com/ucl/tlomodel
epidemiology health-economic-evaluation healthcare-systems individual-based-modelling simulation-modeling
Last synced: 7 days ago
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Epidemiology modelling framework for the Thanzi la Onse project
- Host: GitHub
- URL: https://github.com/ucl/tlomodel
- Owner: UCL
- License: mit
- Created: 2018-05-18T12:00:38.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2025-04-11T14:58:13.000Z (11 days ago)
- Last Synced: 2025-04-11T15:43:10.040Z (11 days ago)
- Topics: epidemiology, health-economic-evaluation, healthcare-systems, individual-based-modelling, simulation-modeling
- Language: Python
- Homepage: https://www.tlomodel.org/
- Size: 156 MB
- Stars: 26
- Watchers: 5
- Forks: 13
- Open Issues: 209
-
Metadata Files:
- Readme: README.md
- Contributing: docs/contributing.rst
- License: LICENSE.txt
- Citation: CITATION.cff
Awesome Lists containing this project
README
Thanzi la Onse model
[![License][license-badge]](./LICENSE.txt)
[![DOI][doi-badge]][doi-link]
[![Tests status][tests-badge]][tests-link]
[![Checks status][checks-badge]][checks-link]
[![Documentation status][documentation-badge]][documentation-link]
The __Thanzi la Onse model (TLOmodel)__ is a part of the [Thanzi la Onse][thanzi-link]
(Health for All) Collaboration. Our fundamental aim is to develop the use of epidemiological and economic science to effect a step-change in the way that health priorities are addressed through policy interventions in low-income countries. We are doing this by developing a model that represents explicitly the generation of health gains in a population, which can be used to examine the effect of resource allocation, management and clinical practice, in order to contribute to informing decision-making.
- __Documentation__:
- __Getting started__:
- __Contributing__:
- __Bug reports__:
- __Wiki__:
## Project team
TLOmodel is developed in a collaboration between:
- [Kamuzu University of Health Sciences][kuhes-link]
- [MRC Centre for Global Infectious Disease Analysis][mrc-gida-link], [Imperial College London][imperial-link]
- [Institute for Global Health][igh-link], [University College London][ucl-link]
- [Centre for Advanced Research Computing][arc-link], [University College London][ucl-link]
- [Centre for Health Economics][che-link], [University of York][york-link]
- [East, Central, and Southern African Health Community][ecsa-hc-link]
It benefits from a close partnership between this team and the Ministry of Health, Malawi.
A [full list of contributors][contributors-link] is available
in the documentation.
## Acknowledgements
This work has been funded by grants from [Wellcome](https://wellcome.org/),
[GCRF](https://www.newton-gcrf.org/) and [UKRI](https://www.ukri.org/).
[tests-badge]: https://github.com/UCL/TLOmodel/actions/workflows/tests.yml/badge.svg
[tests-link]: https://github.com/UCL/TLOmodel/actions/workflows/tests.yml
[checks-badge]: https://github.com/UCL/TLOmodel/actions/workflows/checks.yml/badge.svg
[checks-link]: https://github.com/UCL/TLOmodel/actions/workflows/checks.yml
[documentation-badge]: https://github.com/UCL/TLOmodel/actions/workflows/docs.yml/badge.svg
[documentation-link]: https://github.com/UCL/TLOmodel/actions/workflows/docs.yml
[license-badge]: https://img.shields.io/badge/License-MIT-blue.svg
[doi-badge]: https://zenodo.org/badge/DOI/10.5281/zenodo.10144015.svg
[doi-link]: https://doi.org/10.5281/zenodo.10144015
[thanzi-link]: https://thanzi.org
[kuhes-link]: https://www.kuhes.ac.mw/
[imperial-link]: https://www.imperial.ac.uk
[mrc-gida-link]: https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis
[ucl-link]: https://www.ucl.ac.uk
[igh-link]: https://www.ucl.ac.uk/global-health/
[arc-link]: https://www.ucl.ac.uk/arc
[york-link]: https://www.york.ac.uk/
[che-link]: https://www.york.ac.uk/che/
[ecsa-hc-link]: https://ecsahc.org/
[contributors-link]: https://www.tlomodel.org/contributors.html