covid_screening_data: COVID-19 Screening Data

In sbalci/ClinicoPathJamoviModule: Analysis for Clinicopathological Research

COVID-19 Screening Data

Description

A simulated dataset for evaluating COVID-19 screening strategies. It includes patient identifiers, results from various screening tests (rapid antigen, PCR, chest CT), symptom scores, actual COVID-19 status, and demographic/risk information.

Usage

data(covid_screening_data)

Format

A data frame with 1000 rows and 8 variables:

patient_id

Integer. Unique patient identifier.

rapid_antigen

Character. Result of rapid antigen test (e.g., "Positive", "Negative").

pcr

Character. Result of PCR test (e.g., "Positive", "Negative").

chest_ct

Character. Result of chest CT scan (e.g., "Normal", "Abnormal", "Not Performed").

symptom_score

Integer. Clinical symptom score, potentially based on a standardized checklist.

covid_status

Character. Actual COVID-19 status, confirmed by a gold standard (e.g., "Positive", "Negative").

age

Integer. Patient's age in years.

risk_group

Character. Patient's risk group (e.g., "High", "Medium", "Low").

Examples

data(covid_screening_data)
str(covid_screening_data)
head(covid_screening_data)
table(covid_screening_data$covid_status, covid_screening_data$rapid_antigen)

sbalci/ClinicoPathJamoviModule documentation built on June 13, 2025, 9:34 a.m.