Infectieradar Acute Respiratory Infection Symptom Prevalence by Reporting Date

Infectieradar data from the RIVM provides weekly percentages of participants reporting symptoms consistent with an acute respiratory infection. The dataset includes a daily percentage and its 7-day moving average, structured with one record per reporting date and updated weekly. It is published under a CC-PDM-1.0 license by the Dutch Ministry of the Interior and Kingdom Relations.

Use Cases

• Tracking weekly trends in acute respiratory infection symptom prevalence based on participant-reported complaints.
• Analyzing the 7-day moving average of symptom rates to smooth daily fluctuations.
• Studying the methodology of participatory syndromic surveillance systems like Infectieradar.
• Correlating self-reported symptom data with other public health indicators over time.

Strengths

• Includes both daily symptom percentages and a calculated 7-day moving average.
• Dataset versioning is documented to track structural changes.
• Update process is clearly described: weekly updates with data from fully completed days.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent for some fields; field semantics must be inferred from the general description.
• Last update date is unknown; freshness is unverified.

Provenance

Source

RIVM (National Institute for Public Health and the Environment, Netherlands) via the Dutch Ministry of the Interior and Kingdom Relations.

Collection Method

Participatory syndromic surveillance via the weekly Infectieradar questionnaire.

Time Range

null

Freshness

Updated weekly (on Wednesdays from September 6, 2023).

Geography

Likely Netherlands, based on the source institution.