| covid_risk_score | R Documentation |
Calculates a risk score for severe COVID-19 outcomes (hospitalization, ICU admission, or death) based on demographic factors and comorbidities. This tool helps identify individuals at elevated risk to prioritize precautions or vaccination.
covid_risk_score(age_years, sex, chronic_lung_disease, kidney_disease, chf, cad,
hypertension, diabetes, cancer, stroke, nursing_home_resident)
age_years |
Numeric. Patient age in years. <50: 0 pts. 50-64: 2 pts. 65-79: 3 pts. >=80: 5 pts. |
sex |
String. "male" (+2 pts) or "female" (0 pts). |
chronic_lung_disease |
Numeric (0 or 1). History of chronic lung disease (COPD, asthma, etc.). (1 = Yes, +1 pt). |
kidney_disease |
Numeric (0 or 1). History of chronic kidney disease. (1 = Yes, +1 pt). |
chf |
Numeric (0 or 1). History of congestive heart failure. (1 = Yes, +1 pt). |
cad |
Numeric (0 or 1). History of coronary artery disease. (1 = Yes, +1 pt). |
hypertension |
Numeric (0 or 1). History of hypertension. (1 = Yes, +1 pt). |
diabetes |
Numeric (0 or 1). History of diabetes mellitus. (1 = Yes, +1 pt). |
cancer |
Numeric (0 or 1). History of cancer (excluding non-melanoma skin cancer). (1 = Yes, +1 pt). |
stroke |
Numeric (0 or 1). History of stroke/TIA. (1 = Yes, +1 pt). |
nursing_home_resident |
Numeric (0 or 1). Resident of a nursing home or long-term care facility. (1 = Yes, +2 pts). |
A list containing:
COVID_Risk_Score |
The calculated total score. |
Risk_Category |
Classification (Low <= 5, Intermediate 6-9, High >= 10). |
Specific reference for "COVID Risk Score" varies by institution/implementation (e.g., Cleveland Clinic, various vulnerability indices). This logic follows the general additive model used in many public health tools during the pandemic.
# Example 1: High Risk
# 70yo (+3), Male (+2), Diabetes (+1), HTN (+1), Nursing Home (+2)
# Score = 9
covid_risk_score(70, "male", 0, 0, 0, 0, 1, 1, 0, 0, 1)
# Example 2: Low Risk
# 30yo (0), Female (0), Asthma (+1)
# Score = 1
covid_risk_score(30, "female", 1, 0, 0, 0, 0, 0, 0, 0, 0)
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