Lyme Disease Patient Demographics and Clinical Features 2022-2023

CDC data.cdc.gov provides line-listed public health surveillance data for Lyme disease cases from 2022-2023. The dataset contains anonymized patient demographic factors, month of illness onset, and clinical presentation information, collected voluntarily from U.S. states and territories through the National Notifiable Diseases Surveillance System (NNDSS). Data are updated annually upon final verification by health departments.

Use Cases

• Analyze the association between Age_cat_yrs, Sex, and specific clinical presentations like Arthritis or Facial_palsy.
• Model the distribution of Case_status (confirmed/probable) across different Race and Ethnicity groups.
• Track seasonal trends in Lyme disease onset by analyzing the Onset_month column across the two-year period.
• Investigate co-occurrence patterns of clinical symptoms like Enceph, Av_block, and Radiculo within patient records.

Strengths

• Data covers the most recent reporting years of 2022-2023 following a major surveillance definition change.
• Contains 14 distinct columns covering demographic, clinical, and temporal features per case.

Limitations

• Data is limited to two years (2022-2023), preventing long-term trend analysis.
• Significant under-reporting and misclassification are acknowledged features of the surveillance system.
• Geographic information is excluded for privacy, limiting spatial analysis.

Provenance

Source

U.S. Centers for Disease Control and Prevention (CDC) via data.cdc.gov.

Collection Method

Collected voluntarily from U.S. states and territories through the National Notifiable Diseases Surveillance System (NNDSS).

Time Range

2022-2023

Freshness

Updated annually; last updated on 2025-08-19.

Geography

United States (states and territories), but specific geographic identifiers are excluded.