Skip to content

Job request: 14700

Workspace:
disect_uk_india_covid
ID:
xsuk4lopwqc5wrwt
View repo View project.yaml

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

By cross-referencing the indicated Requested Actions with the Pipeline section below, you can infer what security level various outputs were written to. Outputs marked as highly_sensitive can never be viewed directly by a researcher; they can only request that code runs against them. Outputs marked as moderately_sensitive can be viewed by an approved researcher by logging into a highly secure environment. Only outputs marked as moderately_sensitive can be requested for release to the public, via a controlled output review service.

Jobs

  • Action:
    table_censor2
    Status:
    Status: Failed
    Job identifier:
    ydscve76kvcnbjrc

Pipeline

Show project.yaml 
version: '3.0'

expectations:
  population_size: 1000

actions:

  generate_study_population_w1:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_w1
    outputs:
      highly_sensitive:
        cohort: output/input_w1.csv


  generate_study_population_w2:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_w2
    outputs:
      highly_sensitive:
        cohort: output/input_w2.csv

  
  generate_study_population_w3:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_w3
    outputs:
      highly_sensitive:
        cohort: output/input_w3.csv
  

  generate_study_population_w4:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_w4
    outputs:
      highly_sensitive:
        cohort: output/input_w4.csv


  generate_study_population_full:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_full
    outputs:
      highly_sensitive:
        cohort: output/input_full.csv

  generate_study_population_pre:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_pre
    outputs:
      highly_sensitive:
        cohort: output/input_pre.csv



  analyse_w1_long:
    run: r:latest analysis/analysis_wave1_long.R
    needs: [generate_study_population_w1]
    outputs:
      moderately_sensitive:
        table1a_long: output/table1a_w1_long.csv
        table1b_long: output/table1b_w1_long.csv
        long_incidence: output/long_incidence_w1.csv
        long_incidence_strata: output/long_incidence_strata_w1.csv
        long_incidence_indian: output/long_incidence_indian_w1.csv
        unadjusted_long: output/unadjusted_long_w1.csv
        long_eth5_adjusted: output/long_eth5_adjusted_w1.csv
        post_eth5_adjusted: output/post_eth5_adjusted_w1.csv
        long_eth16_adjusted: output/long_eth16_adjusted_w1.csv
        post_eth16_adjusted: output/post_eth16_adjusted_w1.csv
        long_eth5_part_adjusted: output/long_eth5_part_adjusted_w1.csv
        post_eth5_part_adjusted: output/post_eth5_part_adjusted_w1.csv
        long_eth16_part_adjusted: output/long_eth16_part_adjusted_w1.csv
        post_eth16_part_adjusted: output/post_eth16_part_adjusted_w1.csv

  analyse_w1_severe:
    run: r:latest analysis/analysis_wave1_severe.R
    needs: [generate_study_population_w1]
    outputs:
      moderately_sensitive:
        table1a: output/table1a_w1.csv
        table1b: output/table1b_w1.csv
        severe_incidence: output/severe_incidence_w1.csv
        severe_incidence_strata: output/severe_incidence_strata_w1.csv
        severe_incidence_indian: output/severe_incidence_indian_w1.csv
        unadjusted_long: output/unadjusted_severe_w1.csv
  
  data_check_w1:
    run: r:latest analysis/analysis_wave1_checks.R
    needs: [generate_study_population_w1]
    outputs:
      moderately_sensitive:
        sample_size_table: output/sample_size_table_w1.csv
        missing_nums: output/missing_nums_w1.csv
        long_dates: output/long_covid_dates_w1.csv
        covid_admit_dates: output/covid_admit_dates_w1.csv
        dereg_dates: output/dereg_dates_w1.csv
        died_dates: output/died_dates_w1.csv
        long_dates_15: output/long_covid_dates_15_w1.csv
        long_filter_check: output/long_filter_check_w1.csv
        long_covid_surv_time: output/long_covid_surv_time_w1.csv
        long_covid_surv_flag: output/long_covid_surv_flag_w1.csv
        severe_covid_surv_time: output/severe_covid_surv_time_w1.csv
        severe_covid_surv_flag: output/severe_covid_surv_flag_w1.csv
        continuous_checks: output/continuous_checks_w1.csv
        dates_dmy: output/dates_dmy_w1.csv
        dates_my: output/dates_my_w1.csv
        binary_checks: output/binary_checks_w1.csv
        eth_tab: output/ethnicity5_w1.csv
        eth16_tab: output/ethnicity16_w1.csv
        ethcross_tab: output/ethnicity_cross_w1.csv
        sex_tab: output/sex_w1.csv
        smoke_tab: output/smoke_w1.csv
        imd_tab: output/imd_w1.csv
        stp_tab: output/stp_w1.csv
        region_tab: output/region_w1.csv
        diabetes_tab: output/diabetes_w1.csv
        carehome_tab: output/carehome_w1.csv




  analyse_w2_long:
    run: r:latest analysis/analysis_wave2_long.R
    needs: [generate_study_population_w2]
    outputs:
      moderately_sensitive:
        table1a_long: output/table1a_w2_long.csv
        table1b_long: output/table1b_w2_long.csv
        long_incidence: output/long_incidence_w2.csv
        long_incidence_strata: output/long_incidence_strata_w2.csv
        long_incidence_indian: output/long_incidence_indian_w2.csv
        unadjusted_long: output/unadjusted_long_w2.csv
        long_eth5_adjusted: output/long_eth5_adjusted_w2.csv
        post_eth5_adjusted: output/post_eth5_adjusted_w2.csv
        long_eth16_adjusted: output/long_eth16_adjusted_w2.csv
        post_eth16_adjusted: output/post_eth16_adjusted_w2.csv
        long_eth5_part_adjusted: output/long_eth5_part_adjusted_w2.csv
        post_eth5_part_adjusted: output/post_eth5_part_adjusted_w2.csv
        long_eth16_part_adjusted: output/long_eth16_part_adjusted_w2.csv
        post_eth16_part_adjusted: output/post_eth16_part_adjusted_w2.csv


  analyse_w2_severe:
    run: r:latest analysis/analysis_wave2_severe.R
    needs: [generate_study_population_w2]
    outputs:
      moderately_sensitive:
        table1a: output/table1a_w2.csv
        table1b: output/table1b_w2.csv
        severe_incidence: output/severe_incidence_w2.csv
        severe_incidence_strata: output/severe_incidence_strata_w2.csv
        severe_incidence_indian: output/severe_incidence_indian_w2.csv
        unadjusted_long: output/unadjusted_severe_w2.csv
  
  data_check_w2:
    run: r:latest analysis/analysis_wave2_checks.R
    needs: [generate_study_population_w2]
    outputs:
      moderately_sensitive:
        sample_size_table: output/sample_size_table_w2.csv
        missing_nums: output/missing_nums_w2.csv
        long_dates: output/long_covid_dates_w2.csv
        covid_admit_dates: output/covid_admit_dates_w2.csv
        dereg_dates: output/dereg_dates_w2.csv
        died_dates: output/died_dates_w2.csv
        long_dates_15: output/long_covid_dates_15_w2.csv
        long_filter_check: output/long_filter_check_w2.csv
        long_covid_surv_time: output/long_covid_surv_time_w2.csv
        long_covid_surv_flag: output/long_covid_surv_flag_w2.csv
        severe_covid_surv_time: output/severe_covid_surv_time_w2.csv
        severe_covid_surv_flag: output/severe_covid_surv_flag_w2.csv
        continuous_checks: output/continuous_checks_w2.csv
        dates_dmy: output/dates_dmy_w2.csv
        dates_my: output/dates_my_w2.csv
        binary_checks: output/binary_checks_w2.csv
        eth_tab: output/ethnicity5_w2.csv
        eth16_tab: output/ethnicity16_w2.csv
        ethcross_tab: output/ethnicity_cross_w2.csv
        sex_tab: output/sex_w2.csv
        smoke_tab: output/smoke_w2.csv
        imd_tab: output/imd_w2.csv
        stp_tab: output/stp_w2.csv
        region_tab: output/region_w2.csv
        diabetes_tab: output/diabetes_w2.csv
        carehome_tab: output/carehome_w2.csv



  analyse_w3_long:
    run: r:latest analysis/analysis_wave3_long.R
    needs: [generate_study_population_w3]
    outputs:
      moderately_sensitive:
        table1a_long: output/table1a_w3_long.csv
        table1b_long: output/table1b_w3_long.csv
        long_incidence: output/long_incidence_w3.csv
        long_incidence_strata: output/long_incidence_strata_w3.csv
        long_incidence_indian: output/long_incidence_indian_w3.csv
        unadjusted_long: output/unadjusted_long_w3.csv
        long_eth5_adjusted: output/long_eth5_adjusted_w3.csv
        post_eth5_adjusted: output/post_eth5_adjusted_w3.csv
        long_eth16_adjusted: output/long_eth16_adjusted_w3.csv
        post_eth16_adjusted: output/post_eth16_adjusted_w3.csv
        long_eth5_part_adjusted: output/long_eth5_part_adjusted_w3.csv
        post_eth5_part_adjusted: output/post_eth5_part_adjusted_w3.csv
        long_eth16_part_adjusted: output/long_eth16_part_adjusted_w3.csv
        post_eth16_part_adjusted: output/post_eth16_part_adjusted_w3.csv


  analyse_w3_severe:
    run: r:latest analysis/analysis_wave3_severe.R
    needs: [generate_study_population_w3]
    outputs:
      moderately_sensitive:
        table1a: output/table1a_w3.csv
        table1b: output/table1b_w3.csv
        severe_incidence: output/severe_incidence_w3.csv
        severe_incidence_strata: output/severe_incidence_strata_w3.csv
        severe_incidence_indian: output/severe_incidence_indian_w3.csv
        unadjusted_long: output/unadjusted_severe_w3.csv
  
  data_check_w3:
    run: r:latest analysis/analysis_wave3_checks.R
    needs: [generate_study_population_w3]
    outputs:
      moderately_sensitive:
        sample_size_table: output/sample_size_table_w3.csv
        missing_nums: output/missing_nums_w3.csv
        long_dates: output/long_covid_dates_w3.csv
        covid_admit_dates: output/covid_admit_dates_w3.csv
        dereg_dates: output/dereg_dates_w3.csv
        died_dates: output/died_dates_w3.csv
        long_dates_15: output/long_covid_dates_15_w3.csv
        long_filter_check: output/long_filter_check_w3.csv
        long_covid_surv_time: output/long_covid_surv_time_w3.csv
        long_covid_surv_flag: output/long_covid_surv_flag_w3.csv
        severe_covid_surv_time: output/severe_covid_surv_time_w3.csv
        severe_covid_surv_flag: output/severe_covid_surv_flag_w3.csv
        continuous_checks: output/continuous_checks_w3.csv
        dates_dmy: output/dates_dmy_w3.csv
        dates_my: output/dates_my_w3.csv
        binary_checks: output/binary_checks_w3.csv
        eth_tab: output/ethnicity5_w3.csv
        eth16_tab: output/ethnicity16_w3.csv
        ethcross_tab: output/ethnicity_cross_w3.csv
        sex_tab: output/sex_w3.csv
        smoke_tab: output/smoke_w3.csv
        imd_tab: output/imd_w3.csv
        stp_tab: output/stp_w3.csv
        region_tab: output/region_w3.csv
        diabetes_tab: output/diabetes_w3.csv
        carehome_tab: output/carehome_w3.csv




  analyse_w4_long:
    run: r:latest analysis/analysis_wave4_long.R
    needs: [generate_study_population_w4]
    outputs:
      moderately_sensitive:
        table1a_long: output/table1a_w4_long.csv
        table1b_long: output/table1b_w4_long.csv
        long_incidence: output/long_incidence_w4.csv
        long_incidence_strata: output/long_incidence_strata_w4.csv
        long_incidence_indian: output/long_incidence_indian_w4.csv
        unadjusted_long: output/unadjusted_long_w4.csv
        long_eth5_adjusted: output/long_eth5_adjusted_w4.csv
        post_eth5_adjusted: output/post_eth5_adjusted_w4.csv
        long_eth16_adjusted: output/long_eth16_adjusted_w4.csv
        post_eth16_adjusted: output/post_eth16_adjusted_w4.csv
        long_eth5_part_adjusted: output/long_eth5_part_adjusted_w4.csv
        post_eth5_part_adjusted: output/post_eth5_part_adjusted_w4.csv
        long_eth16_part_adjusted: output/long_eth16_part_adjusted_w4.csv
        post_eth16_part_adjusted: output/post_eth16_part_adjusted_w4.csv


  analyse_w4_severe:
    run: r:latest analysis/analysis_wave4_severe.R
    needs: [generate_study_population_w4]
    outputs:
      moderately_sensitive:
        table1a: output/table1a_w4.csv
        table1b: output/table1b_w4.csv
        severe_incidence: output/severe_incidence_w4.csv
        severe_incidence_strata: output/severe_incidence_strata_w4.csv
        severe_incidence_indian: output/severe_incidence_indian_w4.csv
        unadjusted_long: output/unadjusted_severe_w4.csv
  
  data_check_w4:
    run: r:latest analysis/analysis_wave4_checks.R
    needs: [generate_study_population_w4]
    outputs:
      moderately_sensitive:
        sample_size_table: output/sample_size_table_w4.csv
        missing_nums: output/missing_nums_w4.csv
        long_dates: output/long_covid_dates_w4.csv
        covid_admit_dates: output/covid_admit_dates_w4.csv
        dereg_dates: output/dereg_dates_w4.csv
        died_dates: output/died_dates_w4.csv
        long_dates_15: output/long_covid_dates_15_w4.csv
        long_filter_check: output/long_filter_check_w4.csv
        long_covid_surv_time: output/long_covid_surv_time_w4.csv
        long_covid_surv_flag: output/long_covid_surv_flag_w4.csv
        severe_covid_surv_time: output/severe_covid_surv_time_w4.csv
        severe_covid_surv_flag: output/severe_covid_surv_flag_w4.csv
        continuous_checks: output/continuous_checks_w4.csv
        dates_dmy: output/dates_dmy_w4.csv
        dates_my: output/dates_my_w4.csv
        binary_checks: output/binary_checks_w4.csv
        eth_tab: output/ethnicity5_w4.csv
        eth16_tab: output/ethnicity16_w4.csv
        ethcross_tab: output/ethnicity_cross_w4.csv
        sex_tab: output/sex_w4.csv
        smoke_tab: output/smoke_w4.csv
        imd_tab: output/imd_w4.csv
        stp_tab: output/stp_w4.csv
        region_tab: output/region_w4.csv
        diabetes_tab: output/diabetes_w4.csv
        carehome_tab: output/carehome_w4.csv



  analyse_full_long:
    run: r:latest analysis/analysis_full_long.R
    needs: [generate_study_population_full]
    outputs:
      moderately_sensitive:
        table1a_long: output/table1a_full_long.csv
        table1b_long: output/table1b_full_long.csv
        long_incidence: output/long_incidence_full.csv
        long_incidence_strata: output/long_incidence_strata_full.csv
        long_incidence_indian: output/long_incidence_indian_full.csv
        unadjusted_long: output/unadjusted_long_full.csv
        long_eth5_adjusted: output/long_eth5_adjusted.csv
        post_eth5_adjusted: output/post_eth5_adjusted.csv
        long_pos_eth5_adjusted: output/long_pos_eth5_adjusted.csv
        post_pos_eth5_adjusted: output/post_pos_eth5_adjusted.csv
        long_eth16_adjusted: output/long_eth16_adjusted.csv
        post_eth16_adjusted: output/post_eth16_adjusted.csv
        long_pos_eth16_adjusted: output/long_pos_eth16_adjusted.csv
        post_pos_eth16_adjusted: output/post_pos_eth16_adjusted.csv
        long_eth5_part_adjusted: output/long_eth5_part_adjusted.csv
        post_eth5_part_adjusted: output/post_eth5_part_adjusted.csv
        long_pos_eth5_part_adjusted: output/long_pos_eth5_part_adjusted.csv
        post_pos_eth5_part_adjusted: output/post_pos_eth5_part_adjusted.csv
        long_eth16_part_adjusted: output/long_eth16_part_adjusted.csv
        post_eth16_part_adjusted: output/post_eth16_part_adjusted.csv
        long_pos_eth16_part_adjusted: output/long_pos_eth16_part_adjusted.csv
        post_pos_eth16_part_adjusted: output/post_pos_eth16_part_adjusted.csv


  analyse_full_fatigue:
    run: r:latest analysis/analysis_full_fatigue.R
    needs: [generate_study_population_full]
    outputs:
      moderately_sensitive:
        fatigue_incidence: output/fatigue_incidence_full.csv
        fatigue_incidence_strata: output/fatigue_incidence_strata_full.csv
        fatigue_incidence_indian: output/fatigue_incidence_indian_full.csv
        fatigue_long_eth5: output/fatigue_long_eth5.csv
        fatigue_long_eth16: output/fatigue_long_eth16.csv
        fatigue_5_totals: output/fatigue_5_totals.csv
        unadjusted_fatigue: output/unadjusted_fatigue_full.csv
        fatigue_eth5_adjusted: output/fatigue_eth5_adjusted.csv
        fatigue_pos_eth5_adjusted: output/fatigue_pos_eth5_adjusted.csv
        fatigue_eth16_adjusted: output/fatigue_eth16_adjusted.csv
        fatigue_pos_eth16_adjusted: output/fatigue_pos_eth16_adjusted.csv
        fatigue_eth5_part_adjusted: output/fatigue_eth5_part_adjusted.csv
        fatigue_pos_eth5_part_adjusted: output/fatigue_pos_eth5_part_adjusted.csv
        fatigue_eth16_part_adjusted: output/fatigue_eth16_part_adjusted.csv
        fatigue_pos_eth16_part_adjusted: output/fatigue_pos_eth16_part_adjusted.csv
      
  analyse_pre_fatigue:
    run: r:latest analysis/analysis_pre_fatigue.R
    needs: [generate_study_population_pre]
    outputs:
      moderately_sensitive:
        fatigue_incidence_pre: output/fatigue_incidence_pre.csv
        unadjusted_fatigue_pre: output/unadjusted_fatigue_pre.csv
        fatigue_eth5_part_adjusted_pre: output/fatigue_eth5_part_adjusted_pre.csv
        fatigue_eth16_part_adjusted_pre: output/fatigue_eth16_part_adjusted_pre.csv
        pre_fatigue_table: output/pre_fatigue_table.csv



  analyse_full_severe:
    run: r:latest analysis/analysis_full_severe.R
    needs: [generate_study_population_full]
    outputs:
      moderately_sensitive:
        table1a: output/table1a_full.csv
        table1b: output/table1b_full.csv
        severe_incidence: output/severe_incidence_full.csv
        severe_incidence_strata: output/severe_incidence_strata_full.csv
        severe_incidence_indian: output/severe_incidence_indian_full.csv
        unadjusted_long: output/unadjusted_severe_full.csv
  
  data_check_full:
    run: r:latest analysis/analysis_full_checks.R
    needs: [generate_study_population_full]
    outputs:
      moderately_sensitive:
        sample_size_table: output/sample_size_table_full.csv
        missing_nums: output/missing_nums_full.csv
        long_dates: output/long_covid_dates_full.csv
        covid_admit_dates: output/covid_admit_dates_full.csv
        dereg_dates: output/dereg_dates_full.csv
        died_dates: output/died_dates_full.csv
        long_dates_15: output/long_covid_dates_15_full.csv
        long_filter_check: output/long_filter_check_full.csv
        long_covid_surv_time: output/long_covid_surv_time_full.csv
        long_covid_surv_flag: output/long_covid_surv_flag_full.csv
        severe_covid_surv_time: output/severe_covid_surv_time_full.csv
        severe_covid_surv_flag: output/severe_covid_surv_flag_full.csv
        continuous_checks: output/continuous_checks_full.csv
        dates_dmy: output/dates_dmy_full.csv
        dates_my: output/dates_my_full.csv
        binary_checks: output/binary_checks_full.csv
        eth_tab: output/ethnicity5_full.csv
        eth16_tab: output/ethnicity16_full.csv
        ethcross_tab: output/ethnicity_cross_full.csv
        sex_tab: output/sex_full.csv
        smoke_tab: output/smoke_full.csv
        imd_tab: output/imd_full.csv
        stp_tab: output/stp_full.csv
        region_tab: output/region_full.csv
        diabetes_tab: output/diabetes_full.csv
        carehome_tab: output/carehome_full.csv




  standardise_rates_full:
    run: r:latest analysis/poisson_standardization.R
    needs: [analyse_full_severe, analyse_full_long]
    outputs:
      moderately_sensitive:
        model_test_results: output/model_test_results.csv
        world_pop_standard: output/world_pop_standard.csv
        standard_rates: output/overall_standard_rates.csv
        world_pop_standard_Nb: output/world_pop_standard_nb.csv
        model_test_results_more: output/model_test_results_more.csv
        world_pop_more_standard: output/world_pop_more_standard.csv
        standard_rates_more: output/overall_standard_rates_more.csv
        world_pop_more_standard_Nb: output/world_pop_more_standard_nb.csv



  long_covid_tables_full:
    run: r:latest analysis/analysis_full_long_ukpaper.R
    needs: [generate_study_population_full]
    outputs:
     moderately_sensitive:
        test_pairs_tables: output/test_pairs_tables.csv
        test_timing_table_first: output/test_timing_table_first.csv
        test_timing_table_last: output/test_timing_table_last.csv
        long_by_month_eth5: output/long_by_month_eth5.csv
        long_by_month_eth16: output/long_by_month_eth16.csv
        gp_code_table: output/gp_code_table.csv
        eth_sankey: output/eth_sankey.csv

  long_covid_hosp_tables_full:
    run: r:latest analysis/analysis_full_long_hospital.R
    needs: [generate_study_population_full]
    outputs:
     moderately_sensitive:
        long_hosp_eth_un: output/long_hosp_eth_un.csv
        post_hosp_eth_un: output/post_hosp_eth_un.csv
        long_hosp_eth5_part_adjusted: output/long_hosp_eth5_part_adjusted.csv
        post_hosp_eth5_part_adjusted: output/post_hosp_eth5_part_adjusted.csv
        long_hosp_eth5_adjusted: output/long_hosp_eth5_adjusted.csv
        post_hosp_eth5_adjusted: output/post_hosp_eth5_adjusted.csv
        hosp_death_table: output/hosp_death_table.csv

  long_covid_hosp_tables_extra:
    run: r:latest analysis/analysis_full_long_hospital_extra.R
    needs: [generate_study_population_full]
    outputs:
     moderately_sensitive:
        hosp_death_table_strata: output/hosp_death_table_strata.csv

  long_covid_demographic_table:
    run: r:latest analysis/analysis_full_outcome_table.R
    needs: [generate_study_population_full]
    outputs:
     moderately_sensitive:
        long_covid_demos: output/long_covid_demos.csv
        flowchart_nums: output/flowchart_nums.csv

  table_censor:
    run: r:latest analysis/table_censor_script.R
    needs: [long_covid_tables_full]
    outputs:
     moderately_sensitive:
        eth_sankey_cens: output/sankey_cens.csv
        test_timing_cens: output/test_timing_cens.csv

  table_combine_wave:
    run: r:latest analysis/table_combine_waves.R
    needs: [analyse_full_long, analyse_w2_long, analyse_w3_long, analyse_w4_long]
    outputs:
     moderately_sensitive:
        crude_combined: output/crude_combined.csv
        unadj_comb: output/unadjust_combined.csv
        agesex_comb: output/agesex_combined.csv

  table_combine_fatigue:
    run: r:latest analysis/table_combine_fatigue.R
    needs: [analyse_full_fatigue, analyse_pre_fatigue]
    outputs:
      moderately_sensitive:
        fatigue_case_comb: output/fatigue_case_comb.csv
        fatigue_rate_comb: output/fatigue_rate_comb.csv

  table_combine_rates:
    run: r:latest analysis/table_combine_rates.R
    needs: [analyse_full_long, long_covid_hosp_tables_full]
    outputs:
      moderately_sensitive:
        full_rate_comb: output/full_rate_comb.csv

  table_one_mod:
    run: r:latest analysis/table_one_modified.R
    needs: [generate_study_population_full]
    outputs:
      moderately_sensitive:
        table_one_mod: output/table1a_mod.csv

  table_censor2:
    run: r:latest analysis/table_censor_script2.R
    needs: [long_covid_tables_full, table_censor, table_one_mod, table_combine_fatigue, table_combine_wave, long_covid_demographic_table]
    outputs:
     moderately_sensitive:
        eth_sankey_cens2: output/sankey_cens2.csv
        test_timing_cens2: output/test_timing_cens2.csv
        fatigue_cases_cens: output/fatigue_cases_cens.csv
        crude_comb_cens: output/crude_comb_cens.csv
        table1a_cens: output/table1a_cens.csv
        long_covid_demos_cens: output/long_covid_demos_cens

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime:

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

Job information

Status
Failed 
Job exited with an error
Backend
TPP
Workspace
disect_uk_india_covid
Requested by
Nick Birk
Branch
main
Force run dependencies
No
Git commit hash
06679e5
Requested actions
  • table_censor2