---
pretty_name: CDC NREVSS — weekly RSV test specimens and positives
license: other
size_categories:
- 10K<n<100K
tags:
- cadence-weekly
- geo-us
- surveillance-respiratory
- pathogen-rsv
- tier-2
- availability-open
schema_version: '0.1'
source_id: cdc-nrevss-rsv
source_url: https://www.cdc.gov/nrevss/php/dashboard/index.html
manifest_section: §1.6
surveillance_category: respiratory
pathogens:
- rsv
availability: open
availability_notes: null
access_type: socrata
tier: 2
cadence: weekly
geography_levels:
- subnational-region
geography_countries:
- US
gold_standard_for: []
vintaged_version_of: null
succeeds: null
derived_from: []
value_columns:
- name: rsvpos
  unit: specimens/week
  value_type: incident
  description: Specimens testing positive for RSV (this test type, this region, this week)
  aggregation: sum
- name: rsvtest
  unit: specimens/week
  value_type: incident
  description: Total specimens tested for RSV
  aggregation: sum
notes:
  extra_columns:
  - column: testtype
    description: '`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.'
  - column: outlier
    description: 1 = source itself flagged this point as an outlier (excluded from CDC's published trend).
  - column: location_name
    description: '`HHS N` for traceability. `location_id` (`US-HHS-N`) is canonical.'
  interpretation_caveats:
  - column: rsvtest
    caveat: 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.
  general: 'NREVSS is the long-running multi-pathogen lab network. The full system covers flu,

    RSV, parainfluenza, hMPV, adenovirus, etc.; this Socrata view exposes only the

    RSV portion. Other pathogens are in sibling Socrata datasets (separate ingests).

    '
extra:
  pathogens_in_sibling_datasets:
  - influenza-a/b → fluview_clinical (Delphi)
  - hMPV / adenovirus / parainfluenza → separate Socrata ids
  source_columns_omitted: 1 (`season` — derivable from `date`)
computed:
  last_ingested: '2026-04-26T12:48:35Z'
  row_count: 10313
  time_coverage:
  - start: '2010-07-10'
    end: '2020-06-27'
  geography_unit_count: 10
  observed_cadence_days: 7
  missing_gaps: []
  data_hash: 1fc350efdd47a8f5
---

# CDC NREVSS — weekly RSV test specimens and positives

NREVSS is the long-running multi-pathogen lab network. The full system covers flu,
RSV, parainfluenza, hMPV, adenovirus, etc.; this Socrata view exposes only the
RSV portion. Other pathogens are in sibling Socrata datasets (separate ingests).

**Source:** <https://www.cdc.gov/nrevss/php/dashboard/index.html>

## Coverage

- **Time:** 2010-07-10 → 2020-06-27
- **Cadence:** `weekly` (observed median spacing: 7 days)
- **Geography levels:** `subnational-region` — 10 unique location IDs
- **Countries:** US
- **Pathogens:** `rsv`
- **Surveillance category:** `respiratory`
- **Rows:** 10,313

## Columns

| Column | Unit | value_type | Aggregation | Description |
|--------|------|------------|-------------|-------------|
| `rsvpos` | specimens/week | `incident` | `sum` | Specimens testing positive for RSV (this test type, this region, this week) |
| `rsvtest` | specimens/week | `incident` | `sum` | Total specimens tested for RSV |

### Additional data columns

- **`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.
- **`outlier`** — 1 = source itself flagged this point as an outlier (excluded from CDC's published trend).
- **`location_name`** — `HHS N` for traceability. `location_id` (`US-HHS-N`) is canonical.

## Interpretation caveats

Things that may differ from how other sources define a similar measure. If you're combining this dataset with another, read these first.

- **`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.

## Access

- **Availability:** `open`
- **Access type:** `socrata`
- **License:** other
- **Tier:** 2

---

*Schema version `0.1` · Last ingested 2026-04-26T12:48:35Z · `source_id: cdc-nrevss-rsv` · Manifest section §1.6*