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Job request: 8239

Organisation:
The London School of Hygiene & Tropical Medicine
Workspace:
covid-collateral
ID:
jp3qmgqtvhg76hnk

This page shows the technical details of what happened when the authorised researcher Ruth Costello 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: 1000

actions:
  # Generates study population for CV, mental health outcomes - start date = 2018-03-01
  generate_study_population:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2018-03-01 to 2022-01-31 by month" --output-dir=output/measures --output-format=csv
    outputs:
      highly_sensitive:
        cohort: output/measures/input_*.csv
  # Generates study population for diabetes outcomes
  generate_study_population_dm:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_dm --index-date-range "2018-03-01 to 2022-01-31 by month" --output-dir=output/measures/dm --output-format=csv 
    outputs:
      highly_sensitive:
        cohort: output/measures/dm/input_dm_*.csv

  # Generates study population for respiratory outcomes
  generate_study_population_resp:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_resp --index-date-range "2018-03-01 to 2022-01-31 by month" --output-dir=output/measures/resp --output-format=csv --skip-existing
    outputs:
      highly_sensitive:
        cohort: output/measures/resp/input_resp_*.csv

  # Generates study population for mortality
  generate_study_population_mortality:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_mortality --index-date-range "2019-02-01 to 2022-01-31 by month" --output-dir=output/measures/mortality --output-format=csv --skip-existing
    outputs:
      highly_sensitive:
        cohort: output/measures/mortality/input_mortality_*.csv
  
  # Generates study populations for baseline tables at 3 timepoints
  generate_study_population_tables_2019:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_tables --index-date-range "2019-01-01" --output-dir=output/measures/tables --output-format=csv --skip-existing
    outputs:
      highly_sensitive:
        cohort: output/measures/tables/input_tables_2019-01-01.csv
  generate_study_population_tables_2020:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_tables --index-date-range "2020-01-01" --output-dir=output/measures/tables --output-format=csv --skip-existing
    outputs:
      highly_sensitive:
        cohort: output/measures/tables/input_tables_2020-01-01.csv
  generate_study_population_tables_2021:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_tables --index-date-range "2021-01-01" --output-dir=output/measures/tables --output-format=csv --skip-existing
    outputs:
      highly_sensitive:
        cohort: output/measures/tables/input_tables_2021-01-01.csv
  
  # Generates baseline tables
  create_baseline_tables:
    run: stata-mp:latest analysis/baseline_tables.do
    needs: [generate_study_population_tables_2019, generate_study_population_tables_2020, generate_study_population_tables_2021]
    outputs:
      highly_sensitive:
        output: output/tables/baseline_table_*.xlsx

  # Generates summary measures for CV and mental health outcomes
  calculate_measures:
    run: cohortextractor:latest  generate_measures --study-definition study_definition --output-dir=output/measures
    needs: [generate_study_population]
    outputs:
      moderately_sensitive:
        measure: output/measures/measure_*_rate.csv
  # Generates summary measures for diabetes outcomes  
  calculate_measures_dm:
    run: cohortextractor:latest  generate_measures --study-definition study_definition_dm --output-dir=output/measures/dm
    needs: [generate_study_population_dm]
    outputs:
      moderately_sensitive:
        measure: output/measures/dm/measure_dm_*_rate.csv

  # Generates summary measures for respiratory outcomes  
  calculate_measures_resp:
    run: cohortextractor:latest  generate_measures --study-definition study_definition_resp --output-dir=output/measures/resp
    needs: [generate_study_population_resp]
    outputs:
      moderately_sensitive:
        measure: output/measures/resp/measure_*_rate.csv

  # Generates summary measures for mortality outcomes  
  calculate_measures_mortality:
    run: cohortextractor:latest  generate_measures --study-definition study_definition_mortality --output-dir=output/measures/mortality
    needs: [generate_study_population_mortality]
    outputs:
      moderately_sensitive:
        measure: output/measures/mortality/measure_*_rate.csv
  
  # Generates graphs for CVD & mental health outcomes
  graphs_mh_cvd:
    run: stata-mp:latest analysis/graphs_mh_cvd.do 
    needs: [calculate_measures]
    outputs: 
      moderately_sensitive:
        log: logs/graphs_mh_cvd.log
        output: output/graphs/line_*.svg
     
  # Generates graphs for diabetes outcomes
  graphs_dm:
    run: stata-mp:latest analysis/graphs_dm.do 
    needs: [calculate_measures_dm]
    outputs: 
      moderately_sensitive:
        log: logs/graphs_dm.log
        output: output/graphs/line_dm_*.svg
      highly_sensitive:
        output: output/collapsed/collapse_measure_dm_*
  # Generate graphs for respiratory outcomes
  graphs_resp:
    run: stata-mp:latest analysis/graphs_resp.do 
    needs: [calculate_measures_resp]
    outputs: 
      moderately_sensitive:
        log: logs/graphs_resp.log
        output: output/graphs/line_resp_*.svg

  # Generate graphs for mortality
  graphs_mortality:
    run: stata-mp:latest analysis/graphs_mortality.do 
    needs: [calculate_measures_mortality]
    outputs: 
      moderately_sensitive:
        log: logs/graphs_mortality.log
        output: output/graphs/line_mortality_*.svg
      highly_sensitive:
        output: output/collapsed/collapse_measure_*
        
  # Running analysis scripts
  model_checks_dm:
    run: stata-mp:latest analysis/model_check_dm.do
    needs: [calculate_measures_dm]
    outputs:
      moderately_sensitive: 
        log: logs/model_checks_dm.log
        output: output/time_series/dm_*.svg

  model_checks_resp:
    run: stata-mp:latest analysis/model_check_resp.do
    needs: [calculate_measures_resp]
    outputs:
      moderately_sensitive: 
        log: logs/model_checks_resp.log
        output: output/time_series/resp_*.svg

  model_checks_cvd:
    run: stata-mp:latest analysis/model_check_cvd.do
    needs: [calculate_measures]
    outputs:
      moderately_sensitive: 
        log: logs/model_checks_cvd.log
        output: output/time_series/cvd_*.svg

  model_checks_mh:
    run: stata-mp:latest analysis/model_check_mh.do
    needs: [calculate_measures]
    outputs:
      moderately_sensitive: 
        log: logs/model_checks_mh.log
        output: output/time_series/mh_*.svg

  model_checks_mortality:
    run: stata-mp:latest analysis/model_check_mortality.do
    needs: [calculate_measures_mortality]
    outputs:
      moderately_sensitive: 
        log: logs/model_checks_mortality.log
        output: output/time_series/mortality_*.svg
  
  time_series_resp:
    run: stata-mp:latest analysis/time_series_resp.do
    needs: [calculate_measures_resp]
    outputs:
      moderately_sensitive:
        log: logs/tsreg_resp.log
        output: output/time_series/tsreg_tables_resp.xlsx

  time_series_dm:
    run: stata-mp:latest analysis/time_series_dm.do
    needs: [calculate_measures_dm]
    outputs:
      moderately_sensitive:
        log: logs/tsreg_dm.log
        output: output/time_series/tsreg_tables_dm.xlsx

  time_series_cvd:
    run: stata-mp:latest analysis/time_series_cvd.do
    needs: [calculate_measures]
    outputs:
      moderately_sensitive:
        log: logs/tsreg_cvd.log
        output: output/time_series/tsreg_tables_cvd.xlsx

  time_series_mh:
    run: stata-mp:latest analysis/time_series_mh.do
    needs: [calculate_measures]
    outputs:
      moderately_sensitive:
        log: logs/tsreg_mh.log
        output: output/time_series/tsreg_tables_mh.xlsx

  time_series_mortality:
    run: stata-mp:latest analysis/time_series_mortality.do
    needs: [calculate_measures_mortality]
    outputs:
      moderately_sensitive:
        log: logs/tsreg_mortality.log
        output: output/time_series/tsreg_tables_mortality.xlsx

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:25:44

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

Job request

Status
Succeeded
Backend
TPP
Workspace
covid-collateral
Requested by
Ruth Costello
Branch
main
Force run dependencies
No
Git commit hash
23d8b8a
Requested actions
  • create_baseline_tables

Code comparison

Compare the code used in this job request