COVID-19 Infection and Mortality Indices for 154 Countries

154 national datasets from the WHO were normalized against the United States to calculate country-specific infection (CF1) and mortality (CF2) indices. The data was grouped by WHO region, with regional means and standard deviations generated to illustrate epidemiological patterns. The dataset was authored by Oyepata Simeon Joseph and last updated on 2026-04-23.

Use Cases

• Compare regional COVID-19 burdens based on the reported infection and mortality indices.
• Identify countries with disproportionately high mortality based on the CF2 > 1.5 metric.
• Test the viro-allergy-hygiene hypothesis using the comparative regional data.
• Analyze the relationship between endemic microbial exposure and severe outcomes suggested by the study's framework.

Strengths

• Includes data from 154 countries, providing a broad international scope.
• Reports specific regional mean indices (e.g., Europe CF1=0.688, CF2=0.727).
• Data is sourced from the World Health Organization, an authoritative public health body.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (871.7 KB), indicating limited scope or aggregated summary data.

Provenance

Source

World Health Organization (WHO)

Collection Method

National data were normalized against the United States to calculate indices.

Time Range

Likely covers the COVID-19 pandemic period, but specific dates are not stated.

Freshness

Last updated 2026-04-23 16:47:40; freshness should be verified.

Geography

154 countries, grouped by WHO regions (Europe, Americas, Africa, Western Pacific, South-East Asia).