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Reorganize README content (#1314)
* Readd newline required for rendering of code block * Remove DOI badge * Moving existing README to docs * Add new README * Add align=center attribute to README header
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README.md

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<div style="text-align: center" align="center">
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<img src="docs/thanzi-la-onse.png" alt="Thanzi La Onze" />
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<br />
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<h1>Thanzi la Onse model</h1>
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</div>
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[![License][license-badge]](./LICENSE.txt)
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[![DOI][doi-badge]][doi-link]
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[![Tests status][tests-badge]][tests-link]
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[![Checks status][checks-badge]][checks-link]
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[![Documentation status][documentation-badge]][documentation-link]
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The __Thanzi la Onse model (TLOmodel)__ is a part of the [Thanzi la Onse][thanzi-link]
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(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.
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- __Documentation__: <https://www.tlomodel.org>
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- __Getting started__: <https://www.tlomodel.org/getting_started.html>
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- __Contributing__: <https://www.tlomodel.org/contributing.html>
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- __Bug reports__: <https://github.com/UCL/TLOmodel/issues>
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- __Wiki__: <https://github.com/UCL/TLOmodel/wiki>
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## Project team
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TLOmodel is developed in a collaboration between:
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- [Kamuzu University of Health Sciences][kuhes-link]
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- [MRC Centre for Global Infectioous Disease Analysis][mrc-gida-link], [Imperial College London][imperial-link]
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- [Institute for Global Health][igh-link], [University College London][ucl-link]
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- [Centre for Advanced Research Computing][arc-link], [University College London][ucl-link]
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- [Centre for Health Economics][che-link], [University of York][york-link]
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It benefits from a close partnership between this team and the Ministry of Health, Malawi.
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A [full list of contributors][contributors-link] is available
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in the documentation.
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## Acknowledgements
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This work has been funded by grants from [Wellcome](https://wellcome.org/),
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[GCRF](https://www.newton-gcrf.org/) and [UKRI](https://www.ukri.org/).
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[tests-badge]: https://github.com/UCL/TLOmodel/actions/workflows/tests.yml/badge.svg
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[tests-link]: https://github.com/UCL/TLOmodel/actions/workflows/tests.yml
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[checks-badge]: https://github.com/UCL/TLOmodel/actions/workflows/checks.yml/badge.svg
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[checks-link]: https://github.com/UCL/TLOmodel/actions/workflows/checks.yml
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[documentation-badge]: https://github.com/UCL/TLOmodel/actions/workflows/docs.yml/badge.svg
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[documentation-link]: https://github.com/UCL/TLOmodel/actions/workflows/docs.yml
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[license-badge]: https://img.shields.io/badge/License-MIT-blue.svg
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[doi-badge]: https://zenodo.org/badge/DOI/10.5281/zenodo.10144015.svg
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[doi-link]: https://doi.org/10.5281/zenodo.10144015
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[thanzi-link]: https://thanzi.org
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[kuhes-link]: https://www.kuhes.ac.mw/
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[imperial-link]: https://www.imperial.ac.uk
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[mrc-gida-link]: https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis
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[ucl-link]: https://www.ucl.ac.uk
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[igh-link]: https://www.ucl.ac.uk/global-health/
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[arc-link]: https://www.ucl.ac.uk/arc
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[york-link]: https://www.york.ac.uk/
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[che-link]: https://www.york.ac.uk/che/
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[contributors-link]: https://www.tlomodel.org/contributors.html

README.rst docs/getting_started.rst

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.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.10144015.svg
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:target: https://zenodo.org/doi/10.5281/zenodo.10144015
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=====================
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Getting Started
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=====================
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you prefer, you can carry out the setup using the command line:
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::
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cd TLOmodel
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conda create -n tlo python=3.11
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conda activate tlo

docs/index.rst

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aims
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writeups
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data_sources
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readme
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getting_started
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azure_batch
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reference/index
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resources/index

docs/readme.rst

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pyproject.toml

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description = "Thanzi la Onse Epidemiology Model"
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dynamic = ["version"]
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license = {file = "LICENSE.txt"}
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readme = "README.rst"
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readme = "README.md"
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requires-python = ">=3.8"
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[project.optional-dependencies]

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