Lyme Disease Surveillance Data With County-Level Aggregation

Aggregated public health surveillance data for Lyme disease cases in the United States for 2022-2023. Data originates from the National Notifiable Diseases Surveillance System, voluntarily reported by states and territories to the CDC. The dataset groups cases by demographic variables and county of residence, reflecting major changes in surveillance case definitions implemented in 2022.

Use Cases

• Analyze geographic disparities in Lyme disease incidence by mapping case Frequency against State and FIPS codes.
• Model the relationship between Age_cat_yrs, Sex, and Case_status to identify demographic patterns in confirmed vs. probable cases.
• Track annual case trends by aggregating Frequency by Year and State to monitor public health interventions.
• Assess data completeness and reporting variations by comparing Frequency across different State values over the two-year period.

Strengths

• Data covers two recent years (2022-2023) following a major surveillance definition change.
• Includes 7 structured columns for demographic, geographic, and temporal analysis.

Limitations

• Under-reporting and misclassification are acknowledged features of the surveillance system, affecting data accuracy.
• Comparisons with historical data prior to 2022 are precluded due to significant changes in case definitions and reporting methods.
• Case counts are subject to state-level variations in budget and personnel, which can cause non-disease-related fluctuations.

Provenance

Source

U.S. Centers for Disease Control and Prevention (CDC) via the National Notifiable Diseases Surveillance System.

Collection Method

Voluntarily reported public health surveillance data from U.S. states and territories, aggregated for privacy protection.

Time Range

2022-2023

Freshness

Updated annually upon final verification by health departments.

Geography

United States, aggregated by county of residence (FIPS code) and State.