Datasets:
Initial ingest — cdc-nrevss-rsv — card update
Browse files
README.md
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---
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pretty_name: CDC NREVSS — weekly RSV test specimens and positives
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license: other
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size_categories:
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- 10K<n<100K
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tags:
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- cadence-weekly
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- geo-us
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- surveillance-respiratory
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- pathogen-rsv
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- tier-2
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- availability-open
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schema_version: '0.1'
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source_id: cdc-nrevss-rsv
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source_url: https://www.cdc.gov/nrevss/php/dashboard/index.html
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manifest_section: §1.6
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surveillance_category: respiratory
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pathogens:
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- rsv
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availability: open
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availability_notes: null
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access_type: socrata
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tier: 2
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cadence: weekly
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geography_levels:
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- subnational-region
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geography_countries:
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- US
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gold_standard_for: []
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vintaged_version_of: null
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succeeds: null
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derived_from: []
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value_columns:
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- name: rsvpos
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unit: specimens/week
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value_type: incident
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description: Specimens testing positive for RSV (this test type, this region, this week)
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aggregation: sum
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- name: rsvtest
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unit: specimens/week
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value_type: incident
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description: Total specimens tested for RSV
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aggregation: sum
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notes:
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extra_columns:
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- column: testtype
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description: '`Antigen` or `PCR`. Always 2 rows per (date, region) — one per test type. Treat as a row-level dimension;
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downstream % positive is computed per testtype.'
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- column: outlier
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description: 1 = source itself flagged this point as an outlier (excluded from CDC's published trend).
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- column: location_name
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description: '`HHS N` for traceability. `location_id` (`US-HHS-N`) is canonical.'
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interpretation_caveats:
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- column: rsvtest
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caveat: PCR vs antigen counts are NOT comparable. PCR ramped up post-2018; antigen has been the long-term backbone but
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is less sensitive. Don't sum across testtype — they're parallel signals.
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general: 'NREVSS is the long-running multi-pathogen lab network. The full system covers flu,
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RSV, parainfluenza, hMPV, adenovirus, etc.; this Socrata view exposes only the
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RSV portion. Other pathogens are in sibling Socrata datasets (separate ingests).
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'
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extra:
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pathogens_in_sibling_datasets:
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- influenza-a/b → fluview_clinical (Delphi)
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- hMPV / adenovirus / parainfluenza → separate Socrata ids
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source_columns_omitted: 1 (`season` — derivable from `date`)
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computed:
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last_ingested: '2026-04-26T12:48:35Z'
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row_count: 10313
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time_coverage:
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- start: '2010-07-10'
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end: '2020-06-27'
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geography_unit_count: 10
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observed_cadence_days: 7
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missing_gaps: []
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data_hash: 1fc350efdd47a8f5
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---
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# CDC NREVSS — weekly RSV test specimens and positives
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NREVSS is the long-running multi-pathogen lab network. The full system covers flu,
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RSV, parainfluenza, hMPV, adenovirus, etc.; this Socrata view exposes only the
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RSV portion. Other pathogens are in sibling Socrata datasets (separate ingests).
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**Source:** <https://www.cdc.gov/nrevss/php/dashboard/index.html>
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## Coverage
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- **Time:** 2010-07-10 → 2020-06-27
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- **Cadence:** `weekly` (observed median spacing: 7 days)
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- **Geography levels:** `subnational-region` — 10 unique location IDs
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- **Countries:** US
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- **Pathogens:** `rsv`
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- **Surveillance category:** `respiratory`
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- **Rows:** 10,313
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## Columns
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| Column | Unit | value_type | Aggregation | Description |
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|--------|------|------------|-------------|-------------|
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| `rsvpos` | specimens/week | `incident` | `sum` | Specimens testing positive for RSV (this test type, this region, this week) |
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| `rsvtest` | specimens/week | `incident` | `sum` | Total specimens tested for RSV |
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### Additional data columns
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- **`testtype`** — `Antigen` or `PCR`. Always 2 rows per (date, region) — one per test type. Treat as a row-level dimension; downstream % positive is computed per testtype.
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- **`outlier`** — 1 = source itself flagged this point as an outlier (excluded from CDC's published trend).
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- **`location_name`** — `HHS N` for traceability. `location_id` (`US-HHS-N`) is canonical.
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## Interpretation caveats
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Things that may differ from how other sources define a similar measure. If you're combining this dataset with another, read these first.
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- **`rsvtest`** — PCR vs antigen counts are NOT comparable. PCR ramped up post-2018; antigen has been the long-term backbone but is less sensitive. Don't sum across testtype — they're parallel signals.
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## Access
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- **Availability:** `open`
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- **Access type:** `socrata`
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- **License:** other
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- **Tier:** 2
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---
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*Schema version `0.1` · Last ingested 2026-04-26T12:48:35Z · `source_id: cdc-nrevss-rsv` · Manifest section §1.6*
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