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Job request: 1253

Organisation:
Bennett Institute
Workspace:
long-covid-emis
ID:
jwvileqkedneqfds

This page shows the technical details of what happened when the authorised researcher Alex Walker requested one or more actions to be run against real patient data within a secure environment.

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level the outputs were written to.

The output security levels are:

  • highly_sensitive
    • Researchers can never directly view these outputs
    • Researchers can only request code is run against them
  • moderately_sensitive
    • Can be viewed by an approved researcher by logging into a highly secure environment
    • These are the only outputs that can be requested for public release via a controlled output review service.

Jobs

Pipeline

Show project.yaml
version: '3.0'

expectations:
  population_size: 500

actions:

  generate_measure_cohort_1:
    # week 45 2020 to 20 2020 inclusive
    run: cohortextractor:latest generate_cohort --study-definition study_definition_measure --index-date-range "2020-11-02 to 2021-01-03 by week"
    outputs:
      highly_sensitive:
        cohort: output/input_*.csv

  generate_measure_cohort_2:
    # week 51 2020 to 03 2021 inclusive
    run: cohortextractor:latest generate_cohort --study-definition study_definition_measure --index-date-range "2021-01-04 to 2021-03-07 by week"
    outputs:
      highly_sensitive:
        cohort: output/input*.csv

  calculate_measures:
    run: cohortextractor:latest generate_measures --study-definition study_definition_measure
    needs: [generate_measure_cohort_1, generate_measure_cohort_2]
    outputs:
      highly_sensitive:
        measure: output/measure_*_rate.csv

  standardise_and_plot:
    run: python:latest python analysis/time_series_plots.py
    needs: [calculate_measures]
    outputs:
      moderately_sensitive:
        tables: output/*_rate.csv
        graph: output/time_series_plot.svg

  generate_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_cohort
    outputs:
      highly_sensitive:
        cohort: output/input_cohort.csv

  count_by_strata:
    run: python:latest python analysis/all_time_counts.py
    needs: [generate_cohort]
    outputs:
      moderately_sensitive:
        table: output/counts_table.csv
        code_table: output/first_long_covid_code.csv
        code_table2: output/all_long_covid_codes.csv
        practice_summ: output/practice_summ.txt

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:04:15

These timestamps are generated and stored using the UTC timezone on the EMIS backend.

Job request

Status
Succeeded
Backend
EMIS
Workspace
long-covid-emis
Requested by
Alex Walker
Branch
EMIS
Force run dependencies
No
Git commit hash
9ca7a78
Requested actions
  • count_by_strata

Code comparison

Compare the code used in this job request