healthcare_ASEAN

Open data project on exploration of healthcare data for the ASEAN region, currently focusing on Malaria and Dengue.

Trello board: https://trello.com/b/NtM7qDC5/project-healthcare-asean
Slack Channel on DataKindSG team: #healthcare_asean

The data folder is currently not uploaded to the github repo (see .gitignore). For new repositories, run: python download_raw_data.py from .\src\data\ To get latest data, run: python .\src\data\download_lastmonth_data.py

Previously collected data is available in the Project Google drive folder.

Granularity

• weekly data
• location: state/province level

Project Setup

for python 2 virtualenv \<virtual env name\>

for python 3 python3 -m venv \<virtual env name\>

On Unix or MacOS, run:

source \<virtual env name\>/bin/activate
(\<virtual env name\>/bin/activate.fish for fish shell)

On Windows, run command:

\path\to\env\Scripts\activate)

Install required packages

pip install -r requirements.txt

To deactivate virtual environment, run:

deactivate

Project Organization

├── LICENSE
├── Makefile           <- Makefile with commands like `make data` or `make train`
├── README.md          <- The top-level README for developers using this project.
├── data
│   ├── external       <- Data from third party sources.
│   ├── interim        <- Intermediate data that has been transformed.
│   ├── processed      <- The final, canonical data sets for modeling.
│   └── raw            <- The original, immutable data dump.
│
├── docs               <- A default Sphinx project; see sphinx-doc.org for details
│
├── models             <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
│                         the creator's initials, and a short `-` delimited description, e.g.
│                         `1.0-jqp-initial-data-exploration`.
├── references         <- Data dictionaries, manuals, and all other explanatory materials.
│
├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures        <- Generated graphics and figures to be used in reporting
│
├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
│                         generated with `pip freeze > requirements.txt`
│
├── src                <- Source code for use in this project.
│   ├── __init__.py    <- Makes src a Python module
│   │
│   ├── data
│   │   └── download_scripts <- Scripts for downloading from each raw data
│   │   │                       source
│   │   └── download_raw_data.py <- Script to download raw data using
│   │   │                           modules in `download_scripts/`
│   │   └── make_dataset.py <- Script to clean raw data
│   │
│   ├── features       <- Scripts to turn raw data into features for modeling
│   │   └── build_features.py
│   │
│   ├── models         <- Scripts to train models and then use trained models to make
│   │   │                 predictions
│   │   ├── predict_model.py
│   │   └── train_model.py
│   │
│   └── visualization  <- Scripts to create exploratory and results oriented visualizations
│       └── visualize.py
├── test               <- Directory for souce codes testing
│   ├── func           <- Directory for souce codes functional testing
│   │   ├── data
│   │   ├── features
│   │   └── models
│   ├── unit           <- Directory for souce codes unit testing
│   │   ├── data
│   │   ├── features
│   │   └── models
└── tox.ini            <- tox file with settings for running tox; see tox.testrun.org