Datasets:

EPI-Eval
/

cdc-nrevss-rsv

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