cliot (version 1.0.0)

covid_risk_score: COVID-19 Vulnerability Index (CVI)

Description

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.

Usage

covid_risk_score(age_years, sex, chronic_lung_disease, kidney_disease, chf, cad,
                 hypertension, diabetes, cancer, stroke, nursing_home_resident)

Value

A list containing:

COVID_Risk_Score

The calculated total score.

Risk_Category

Classification (Low <= 5, Intermediate 6-9, High >= 10).

Arguments

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).

References

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.

Examples

# 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)