# NNDSS Disease Surveillance Normalizer (`wakey7dev/nndss-surveillance-normalizer`) Actor

Normalize CDC weekly disease surveillance records into clean, typed data for epidemiology, public health, research, and health analytics.

- **URL**: https://apify.com/wakey7dev/nndss-surveillance-normalizer.md
- **Developed by:** [Chris Wakefield](https://apify.com/wakey7dev) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

![Chris The Dev](https://raw.githubusercontent.com/chriswakefield87/appstore-screenshot-translator/main/assets/actor-banner.png)

## 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

```json
{"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`.

```json
{"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.

# Actor input Schema

## `disease` (type: `string`):

Optional disease name, such as Anthrax or Influenza-associated pediatric mortality.

## `location` (type: `string`):

Optional state, region, or US RESIDENTS location.

## `year` (type: `integer`):

Optional epidemiological year.

## `maxResults` (type: `integer`):

Maximum normalized records to return.

## Actor input object example

```json
{
  "maxResults": 100
}
```

# Actor output Schema

## `dataset` (type: `string`):

All normalized records.

## `summary` (type: `string`):

Formatted run summary table.

## `stats` (type: `string`):

Machine-readable run statistics.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("wakey7dev/nndss-surveillance-normalizer").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("wakey7dev/nndss-surveillance-normalizer").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call wakey7dev/nndss-surveillance-normalizer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,wakey7dev/nndss-surveillance-normalizer"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/YeiNDQ5VLOj7KzHqy/builds/n7J12VOPEGHamEw8U/openapi.json