NNDSS Disease Surveillance Normalizer
Pricing
Pay per usage
NNDSS Disease Surveillance Normalizer
Normalize CDC weekly disease surveillance records into clean, typed data for epidemiology, public health, research, and health analytics.
Pricing
Pay per usage
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Developer
Chris Wakefield
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1
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3 days ago
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NNDSS Disease Surveillance Normalizer
Clean, normalized weekly disease surveillance records from the CDC National Notifiable Diseases Surveillance System (NNDSS). The Actor preserves source identifiers while standardizing disease labels, locations, epidemiological dates, case counts, and reporting flags.
Why use this Actor?
Public-health analysts, epidemiologists, research teams, insurers, and health-tech companies can query a consistent dataset without manually cleaning CDC spreadsheet-style fields. Common aliases are unified (for example, flu → Influenza and USA → US RESIDENTS), locations are canonicalized, numeric fields are typed, and source provenance is retained.
Input parameters
| Parameter | Type | Description |
|---|---|---|
disease | string | Optional partial disease label, e.g. Anthrax |
location | string | Optional state, region, or US RESIDENTS |
year | integer | Optional epidemiological year |
maxResults | integer | Maximum records (default 100, max 5,000) |
Example input
{"disease":"Anthrax","location":"US RESIDENTS","year":2022,"maxResults":10}
Normalized output
Each dataset item contains location, numeric year, week, canonical disease, numeric reportedCases, reportingFlags, sourceSortOrder, and source.
{"location":"US RESIDENTS","year":2022,"week":1,"disease":"Anthrax","reportedCases":0,"reportingFlags":{},"sourceSortOrder":"20220100001","source":"CDC NNDSS Weekly Data"}
The run also provides a human-readable summary table in the OUTPUT key and machine-readable run metadata in STATS.
Data source and attribution
Source: [CDC NNDSS Weekly Data](https://data.cdc.gov/ de/), accessed through the public Socrata API dataset x9gk-5huc. The records are provisional and should be interpreted according to CDC documentation.
Use cases
- Epidemiological trend analysis
- Public-health dashboards and monitoring
- Research dataset preparation
- Health-risk and insurance analytics
- Reproducible disease surveillance pipelines
Pricing
Pay per usage: $2.00 per 1,000 returned records.