CHANGES:

1. `summary.py` provide a 56 day projection
2. `medium_term_prediction.py` correct issues turning dates into day, month, year.

==============================

enqueue_pipeline.sh --> covid_pipeline.sge --> prepare_config.py --> inference.py --> summary.py

enqueue_pipeline.sh identifies the dataset and analysis period, launching 4 SGE jobs [P1, P1+2]\times[specimen_date, report_date]

Each SGE job runs the inference and summary scripts, using information contained in a config.yaml file.

The config.yaml file, together with results outputs, are stored in a results directory specified the config file
and over-ridden in the top-level enqueue_pipeline.sh script.

CHANGES:

1. Added `data/example_cases.py`, `data/uk_clip.py`, `covid/summary.py`, `summary.py`
2. `summary.py` computes summary values required by reports to SAGE
3. Small changes to `inference.py` and `simulate.py` to reflect baked-in `nu` parameter in `model_spec.py`.