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docs/curated_assets/covid_positive.md

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<a href="https://github.com/BHFDSC/hds_curated_assets/blob/main/curate_covid_positive.py" class="btn btn-primary fs-5 mb-4 mb-md-0 mr-2" target="_blank">View code on GitHub</a>
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The Covid Positive table is a consolidated table for positive COVID-19 case records derived from antigen testing, primary and secondary care data (including SGSS, Pillar 2 antigen testing, GDPPR, HES APC (diagnosis) and CHESS). Positive COVID-19 records are extracted from each dataset and records with a distinct person ID and non-null dates are retained. The tables from each extraction are then combined to create a unified dataset of all COVID-19 positive records. The final table includes six columns: person_id, date, code, description, covid_status (confirmed/suspected) and data_source.
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The Covid Positive table is a consolidated table for positive COVID-19 case records derived from antigen testing, primary and secondary care data (including SGSS, Pillar 2 antigen testing, GDPPR, HES APC (diagnosis) and CHESS). Positive COVID-19 records are extracted from each dataset and records with a distinct person ID and non-null dates are retained. The tables from each extraction are then combined to create a unified dataset of all COVID-19 positive records.
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The output table includes six columns:
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- **person_id**
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- **date**
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- **code**
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- **description**
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- **covid_status** (confirmed/suspected)
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- **data_source**
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{: .note }
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The methodology for curating the table is further outlined <a href="https://www.thelancet.com/journals/landig/article/PIIS2589-7500(22)00091-7/fulltext" target="_blank">in this paper</a>.

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