US state respiratory-illness pressure, weekly (CDC wastewater)
Weekly US state respiratory-illness pressure from CDC NWSS wastewater surveillance (keyless Socrata: SARS-CoV-2, Influenza A, RSV; public domain): site samples aggregated to population-weighted state-week PMMoV-normalized concentrations, each scored as a percentile of the state's own trailing-52-week history with minimal/low/moderate/high/very-high bands, 4-week log-momentum and 2-vs-2-week acceleration, and a documented 0-100 composite respiratory-pressure index (50/30/20 covid/flu/RSV weights) with surge-watch/elevated/calm flags. Who joins this: an online shop joins (state_abbr, week_start) to staffing plans to anticipate sick-leave surges; a subscription business to support-load forecasts; a sales team to travel timing. Caveats: wastewater reflects community shedding, not clinical cases; site coverage varies by state/week; CDC backfills revise recent weeks. CDC NWSS data are U.S. public domain (commercial reuse allowed).
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 2 624
- Colonnes
- 30
- Cadence de la source
- Hebdomadaire
- Dernière actualisation
- 30 sept. 2026
- Thème
- health
| Colonne | Type | Description |
|---|---|---|
| week_start | string | Week start (Monday, ISO date). Samples are bucketed to the Monday of their collection week. |
| state_abbr | string | USPS state/territory abbreviation (uppercase). Primary join key with week_start. |
| state_name | string | Canonical state/territory name. |
| country_code | string | ISO alpha-3 country code; always 'USA'. |
| sites_reporting | integer | Number of distinct wastewater sites contributing samples to this state-week (all pathogens). |
| population_covered | float | Sum of site served-populations contributing to this state-week (people). |
| pathogens_reporting | integer | How many of the 3 pathogens (SARS-CoV-2, Influenza A, RSV) reported this state-week; the composite renormalizes its weights over these. |
| covid_conc | float | Population-weighted mean of site-week median PMMoV-normalized SARS-CoV-2 concentrations (copies/L per PMMoV unit). |
| covid_level_pct | float | Percentile (0-100) of covid_conc within the state's own trailing-52-week history. |
| covid_band | string | Activity band from covid_level_pct: minimal (<25), low (25-50), moderate (50-75), high (75-90), very_high (>=90). Relative to state history. |
| covid_momentum_4w | float | log10(conc_t / conc_{t-4}); ~0.3 means roughly doubling over 4 weeks. Null when either endpoint is missing/non-positive. |
| covid_accel_2v2 | float | Recent 2-week log-change minus prior 2-week log-change; positive = accelerating. |
| flua_conc | float | Population-weighted mean of site-week median PMMoV-normalized Influenza A concentrations. |
| flua_level_pct | float | Percentile (0-100) of flua_conc within the state's own trailing-52-week history. |
| flua_band | string | Activity band from flua_level_pct (same cuts as covid_band). |
| flua_momentum_4w | float | log10(conc_t / conc_{t-4}) for Influenza A. |
| flua_accel_2v2 | float | 2-vs-2-week log acceleration for Influenza A. |
| rsv_conc | float | Population-weighted mean of site-week median PMMoV-normalized RSV concentrations. |
| rsv_level_pct | float | Percentile (0-100) of rsv_conc within the state's own trailing-52-week history. |
| rsv_band | string | Activity band from rsv_level_pct (same cuts as covid_band). |
| rsv_momentum_4w | float | log10(conc_t / conc_{t-4}) for RSV. |
| rsv_accel_2v2 | float | 2-vs-2-week log acceleration for RSV. |
| respiratory_pressure_index | float | Documented 0-100 composite: 100 * weighted mean of reporting pathogens' level_pct (weights 0.50 covid / 0.30 flu / 0.20 RSV, renormalized when a pathogen is absent). |
| pressure_band | string | Composite band from the same percentile cuts applied to respiratory_pressure_index. |
| composite_momentum_4w | float | Weight-renormalized mean of reporting pathogens' momentum_4w (log10 units). |
| surge_watch | boolean | True when pressure >= 70 and composite momentum > 0.3 (sharp, elevated wave). |
| elevated | boolean | True when respiratory_pressure_index >= 70. |
| calm | boolean | True when respiratory_pressure_index <= 30. |
| preliminary | boolean | True for the trailing ~2 weekly buckets: NWSS samples land with a reporting lag, so the most recent weeks are systematically thin (median 2-3 contributing sites vs ~6 earlier) and revise as late samples arrive. Treat preliminary weeks as provisional. |
| row_hash | string | Deterministic sha256 hash of 'NWSS-RSP|<state_abbr>|<week_start>' (first 16 hex). |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| week_start | state_abbr | state_name | country_code | sites_reporting | population_covered | pathogens_reporting | covid_conc | covid_level_pct | covid_band | covid_momentum_4w | covid_accel_2v2 | flua_conc | flua_level_pct | flua_band | flua_momentum_4w | flua_accel_2v2 | rsv_conc | rsv_level_pct | rsv_band | rsv_momentum_4w | rsv_accel_2v2 | respiratory_pressure_index | pressure_band | composite_momentum_4w | surge_watch | elevated | calm | preliminary | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-09-22 | AK | Alaska | USA | 5 | 369 000 | 3 | 0 | 76,923 | high | — | — | 0 | 13,462 | minimal | — | — | 0 | 15,385 | minimal | — | — | 45,6 | low | — | false | false | false | false | 38124690b58620b5 |
| 2025-09-22 | AL | Alabama | USA | 6 | 697 000 | 3 | 0 | 24,528 | minimal | — | — | 0 | 5,66 | minimal | — | — | 0 | 7,547 | minimal | — | — | 15,5 | minimal | — | false | false | true | false | 17405bc1a4e1bd4e |
| 2025-09-22 | AR | Arkansas | USA | 6 | 145 840 | 3 | 0 | 73,585 | moderate | — | — | 0 | 56,604 | moderate | — | — | 0 | 41,509 | low | — | — | 62,1 | moderate | — | false | false | false | false | 60bc2a5685a3dfce |
| 2025-09-22 | AZ | Arizona | USA | 26 | 4 135 436 | 3 | 0 | 88,462 | high | — | — | 0 | 25 | low | — | — | 0 | 59,615 | moderate | — | — | 63,7 | moderate | — | false | false | false | false | 4e9fa53ae4dd49ac |
| 2025-09-22 | CA | California | USA | 84 | 24 273 598 | 3 | 0 | 92,453 | very_high | — | — | 0 | 30,189 | low | — | — | 0 | 22,642 | minimal | — | — | 59,8 | moderate | — | false | false | false | false | bdfbcf3897205ed4 |
| 2025-09-22 | CO | Colorado | USA | 2 | 60 000 | 3 | 0 | 83,019 | high | — | — | 0 | 23,585 | minimal | — | — | 0 | 26,415 | low | — | — | 53,9 | moderate | — | false | false | false | false | e807fa37fdecc800 |
| 2025-09-22 | CT | Connecticut | USA | 5 | 352 060 | 3 | 0 | 88,679 | high | — | — | 0 | 47,17 | low | — | — | 0 | 32,075 | low | — | — | 64,9 | moderate | — | false | false | false | false | f98bdf12f3f0792c |
| 2025-09-22 | DC | District of Columbia | USA | 1 | 1 600 000 | 3 | 0 | 24,51 | minimal | — | — | 0 | 54,902 | moderate | — | — | 0 | 50 | moderate | — | — | 38,7 | low | — | false | false | false | false | 1aa9dab1e0728be1 |
| 2025-09-22 | DE | Delaware | USA | 1 | 13 172 | 3 | 0 | 33,962 | low | — | — | 0 | 31,132 | low | — | — | 0 | 31,132 | low | — | — | 32,5 | low | — | false | false | false | false | b45197f7b93f8c6b |
| 2025-09-22 | FL | Florida | USA | 14 | 3 563 830 | 3 | 0 | 90,566 | very_high | — | — | 0 | 33,962 | low | — | — | 0 | 43,396 | low | — | — | 64,2 | moderate | — | false | false | false | false | af57fa3f53d4647f |
Profilé le 1 oct. 2026 à partir de l’instantané 20260930T174442Z-69be5765342f
Mesuré- Complétude
- 95,5 %
- Lignes
- 2 624
- Colonnes
- 30
- Colonnes incomplètes
- 13
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| week_startvarchar | 0 % | 49 | — |
|
| state_abbrvarchar | 0 % | 53 | — |
|
| state_namevarchar | 0 % | 60 | — |
|
| country_codevarchar | 0 % | 1 | — |
|
| sites_reportingbigint | 0 % | 78 | 1 → 145médiane 6 | 27 hors du 1er–99e centile |
| population_covereddouble | 0 % | 514 | 6 149 → 24 923 598médiane 601 024 | 27 hors du 1er–99e centile |
| pathogens_reportingbigint | 0 % | 2 | 1 → 3médiane 3 | |
| covid_concdouble | 0 % | 2 683 | 0 → 1 542médiane 0,0001 | 27 hors du 1er–99e centile |
| covid_level_pctdouble | 0 % | 298 | 1,89 → 100médiane 50,94 | |
| covid_bandvarchar | 0 % | 4 | — |
|
| covid_momentum_4wdouble | 9,4 % | 2 296 | -7,37 → 6,88médiane -0,0086 | 48 hors du 1er–99e centile |
| covid_accel_2v2double | 9,8 % | 2 630 | -14,8 → 11,58médiane 0,0005 | 48 hors du 1er–99e centile |
| flua_concdouble | 2 % | 1 575 | 0 → 786,71médiane 0 | 26 hors du 1er–99e centile |
| flua_level_pctdouble | 2 % | 210 | 1,89 → 100médiane 50,94 | 27 hors du 1er–99e centile |
| flua_bandvarchar | 2 % | 4 | — |
|
| flua_momentum_4wdouble | 22,8 % | 2 048 | -6,97 → 7,23médiane -0,0081 | 42 hors du 1er–99e centile |
| flua_accel_2v2double | 24,6 % | 2 217 | -12,84 → 12,38médiane 0 | 40 hors du 1er–99e centile |
| rsv_concdouble | 2 % | 2 122 | 0 → 532,36médiane 0 | 26 hors du 1er–99e centile |
| rsv_level_pctdouble | 2 % | 236 | 1,89 → 100médiane 50 | 26 hors du 1er–99e centile |
| rsv_bandvarchar | 2 % | 4 | — |
|
| rsv_momentum_4wdouble | 23,1 % | 1 690 | -6,32 → 7,11médiane 0 | 42 hors du 1er–99e centile |
| rsv_accel_2v2double | 24,5 % | 2 191 | -12,84 → 11,73médiane 0 | 40 hors du 1er–99e centile |
| respiratory_pressure_indexdouble | 0 % | 796 | 1,9 → 100médiane 50,6 | 49 hors du 1er–99e centile |
| pressure_bandvarchar | 0 % | 4 | — |
|
| composite_momentum_4wdouble | 8,9 % | 2 084 | -7,23 → 6,89médiane -0,0161 | 48 hors du 1er–99e centile |
| surge_watchboolean | 0 % | 2 | — |
|
| elevatedboolean | 0 % | 2 | — |
|
| calmboolean | 0 % | 2 | — |
|
| preliminaryboolean | 0 % | 2 | — |
|
| row_hashvarchar | 0 % | 2 189 | — |
|
- Actuelle
20260930T174442Z-69be5765342f · sha256 69be5765342f…
2 624 lignes · premier instantané
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/cdc_nwss_respiratory_pressure/us_state_respiratory_pressure_weekly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/cdc_nwss_respiratory_pressure/us_state_respiratory_pressure_weekly").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API : https://datazimuts.com/v1/datasets/cdc_nwss_respiratory_pressure/us_state_respiratory_pressure_weekly
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.
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Épinglé à l’instantané 20260930T174442Z-69be5765342f et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
U.S. Centers for Disease Control and Prevention, National Wastewater Surveillance System. (2026). US state respiratory-illness pressure, weekly (CDC wastewater) [Data set, snapshot 20260930T174442Z-69be5765342f, sha256 69be5765342f]. Datazimuts. Retrieved 2026-10-01, from https://datazimuts.com/fr/datasets/cdc_nwss_respiratory_pressure/us_state_respiratory_pressure_weekly?snapshot=20260930T174442Z-69be5765342f
@misc{dz_cdc_nwss_respiratory_pressure_us_state_r_69be5765,
title = {{US state respiratory-illness pressure, weekly (CDC wastewater)}},
author = {{U.S. Centers for Disease Control and Prevention, National Wastewater Surveillance System}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/cdc_nwss_respiratory_pressure/us_state_respiratory_pressure_weekly?snapshot=20260930T174442Z-69be5765342f}},
note = {Snapshot 20260930T174442Z-69be5765342f, sha256 69be5765342fce97d470c019c2cc1e05ceb2507b959b2d8e19f57bd13a82e41c; accessed 2026-10-01}
}Intégrer un tableau ou un graphique
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<iframe src="https://datazimuts.com/embed/chart?dataset=cdc_nwss_respiratory_pressure%2Fus_state_respiratory_pressure_weekly&lang=fr&theme=auto&snapshot=20260930T174442Z-69be5765342f&x=week_start&y=sites_reporting&agg=avg" title="US state respiratory-illness pressure, weekly (CDC wastewater)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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