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Detect measles outbreak anomalies in CDC NNDSS weekly data

Scan CDC NNDSS weekly surveillance for measles case spikes — current-week counts, 52-week highs and spike ratios flagged by reporting area.

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CDC NNDSS Weekly Outbreak & Disease Anomaly Monitor
CDC NNDSS Weekly Outbreak & Disease Anomaly Monitormalonestar/cdc-nndss-outbreak-monitor
Disease
Reporting area
MMWR year
MMWR week
+8 fields
Text
Number
Boolean
List
Object

Input

Diseases / conditions:Measles
Spike ratio anomaly threshold:2.0
Only return anomalies:false
Maximum results:1000

Output fields

Disease
Reporting area
MMWR year
MMWR week
Current week cases (resolved)
Current week status
52-week max (resolved)
Spike ratio
YoY cumulative change %
Anomaly
Anomaly reasons
Is latest published week

How it works

Sign up on Apify or log in

The CDC NNDSS Weekly Outbreak & Disease Anomaly Monitor Actor is ready to run with the inputs already set for "Detect measles outbreak anomalies in CDC NNDSS weekly data". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Detect measles outbreak anomalies in CDC NNDSS weekly data" task

The CDC NNDSS Weekly Outbreak & Disease Anomaly Monitor Actor will start running based on the input automatically. You can also change all the input fields, like diseases / conditions, spike ratio anomaly threshold, and more, to match your specific use case.

Receive the "Detect measles outbreak anomalies in CDC NNDSS weekly data" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as disease, reporting area, MMWR year, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Detect measles outbreak anomalies in CDC NNDSS weekly data" task via API.

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