{
  "story_id": "683cb79ceac3173474ef2e517cc055e4",
  "desk": "drm3",
  "revision": 1,
  "published_at": "2026-09-04T01:56:48.000Z",
  "content_hash": "c203b42631d9610bb48065fe182fd98ffba09bbcaad0a1c451b4577385f35000",
  "hash_basis": "sha256 over `headline\\ndek\\nprose`, plus `\\n` + the canonical citations JSON when any source is placed, plus `\\n#blog` for blogs",
  "basis": {
    "headline": "AI Sleep App Data Predicts Flu and COVID-19 Trends a Week Early",
    "dek": "A study found AI sleep app cough data predicts respiratory illness trends one week before official reports.",
    "prose": "The study found that passive data collected by the Sleep Cycle app can provide a robust and regionally consistent indicator of community respiratory illness while also providing early signals for influenza and COVID-19 activity. [^1]\n\nThe UK Health Security Agency (UKHSA) and Sleep Cycle published the results of a research study evaluating if cough data from a sleep app could give early indications of increasing respiratory illness in England. [^2]\n\nResearchers found that cough data collected through the Sleep Cycle app closely reflected levels of respiratory illness reported through NHS 111, with rises in coughing often seen around a week before increases in flu and COVID-19 cases. [^3]\n\nResearchers determined that the AI sleep technology could provide a one-week early warning of flu and COVID-19 cases. [^4]\n\nProfessor Steven Riley, Chief Data Officer at UKHSA, said that combining established surveillance approaches with novel digital health signals could contribute to an earlier, richer and more resilient understanding of population respiratory health. [^5]\n\nThe research specifically analyzed cough data to determine its utility as a public health metric. [^6]",
    "cited": "[{\"statement\":\"The study found that passive data collected by the Sleep Cycle app can provide a robust and regionally consistent indicator of community respiratory illness while also providing early signals for influenza and COVID-19 activity.\",\"source\":\"GOV.UK\",\"instrument\":\"News\",\"claim_key\":null,\"published_at\":\"2026-09-03T09:08:10.000Z\",\"publisher_count\":1,\"sources\":[\"GOV.UK\"]},{\"statement\":\"The UK Health Security Agency (UKHSA) and Sleep Cycle published the results of a research study evaluating if cough data from a sleep app could give early indications of increasing respiratory illness in England.\",\"source\":\"GOV.UK\",\"instrument\":\"News\",\"claim_key\":null,\"published_at\":\"2026-09-03T09:08:10.000Z\",\"publisher_count\":1,\"sources\":[\"GOV.UK\"]},{\"statement\":\"Researchers found that cough data collected through the Sleep Cycle app closely reflected levels of respiratory illness reported through NHS 111, with rises in coughing often seen around a week before increases in flu and COVID-19 cases.\",\"source\":\"GOV.UK\",\"instrument\":\"News\",\"claim_key\":null,\"published_at\":\"2026-09-03T09:08:10.000Z\",\"publisher_count\":1,\"sources\":[\"GOV.UK\"]},{\"statement\":\"Researchers determined that the AI sleep technology could provide a one-week early warning of flu and COVID-19 cases.\",\"source\":\"thestkittsnevisobserver.com\",\"instrument\":\"News\",\"claim_key\":null,\"published_at\":\"2026-09-04T01:56:48.000Z\",\"publisher_count\":1,\"sources\":[\"thestkittsnevisobserver.com\"]},{\"statement\":\"Professor Steven Riley, Chief Data Officer at UKHSA, said that combining established surveillance approaches with novel digital health signals could contribute to an earlier, richer and more resilient understanding of population respiratory health.\",\"source\":\"GOV.UK\",\"instrument\":\"News\",\"claim_key\":null,\"published_at\":\"2026-09-03T09:08:10.000Z\",\"publisher_count\":1,\"sources\":[\"GOV.UK\"]},{\"statement\":\"The research specifically analyzed cough data to determine its utility as a public health metric.\",\"source\":\"thestkittsnevisobserver.com\",\"instrument\":\"News\",\"claim_key\":null,\"published_at\":\"2026-09-04T01:56:48.000Z\",\"publisher_count\":1,\"sources\":[\"thestkittsnevisobserver.com\"]}]",
    "kind": "news"
  },
  "receipt_verify": "Ed25519 over the dot-joined string `slice_hash.cursor_from.cursor_to.view.view_version.row_count`; public_key and sig are base64url of the raw 32-byte key / 64-byte signature",
  "receipt": null,
  "receipt_note": "this revision predates receipt-keeping (before v0.37.0); the filed row lives in the record",
  "generation_chain": {
    "wire": {
      "stream": "fountain_news",
      "story_id": "4bcde12a2435a3185c56c6a68a1a35b6",
      "thread_id": "2c8dd022d5b556bd9492d5bf2309b050",
      "thread_label": "Sleep Cycle",
      "novelty": "UPDATE",
      "content_hash": "a08fb7818c746202bef7f1772433f45b949f66a35a1e83c9211b764fa320c995",
      "last_published_at": "2026-09-04T01:56:48.000Z",
      "read_receipt": {
        "slice_hash": "5de78e0268e8521ad16e5cf9ee6a3f52d94938edb756d6ad3b1d600f15bf1ca2",
        "cursor_from": "eyJ0cyI6IjIwMjYtMDktMDRUMDE6Mzk6MDEuMDAwMDAwWiIsImlkIjoiODRmNDU4MmVmYjgzMjVlMTljNWE5ZTcxMmZiNzEyNjIiLCJ2IjoiMSJ9",
        "cursor_to": "eyJ0cyI6IjIwMjYtMDktMDRUMDI6MTY6MzQuMDAwMDAwWiIsImlkIjoiMTllYTRlYTE3OTNiMzQxNGMwZWRjMTI5Y2FiZWM5NmQiLCJ2IjoiMSJ9",
        "view": "v_fountain_news",
        "view_version": "1",
        "row_count": 100,
        "window_days": 3,
        "bytes_scanned": 12166856,
        "credits": 8,
        "price_per_100_rows": 8,
        "sig": "TpxZhQpWXmBFCPVs7PlyradOotp1SBlOrQ2LqzkQQfYQYQiMKzNF2FLI1LmsvU3b-hjEJhVc0pwPlpwujMElBA",
        "public_key": "bMUigy8O0jOnBxQ4Sc-5lwhIZ8LQVAhxMbR7qESVuUE",
        "signer_path": "lakehouse/data-extract/v1",
        "alg": "Ed25519",
        "signed": true
      }
    },
    "written_at": "2026-09-04T06:54:15.528Z"
  },
  "cited_facts": [
    {
      "statement": "The study found that passive data collected by the Sleep Cycle app can provide a robust and regionally consistent indicator of community respiratory illness while also providing early signals for influenza and COVID-19 activity.",
      "source": "GOV.UK",
      "instrument": "News",
      "claim_key": null,
      "published_at": "2026-09-03T09:08:10.000Z",
      "publisher_count": 1,
      "sources": [
        "GOV.UK"
      ]
    },
    {
      "statement": "The UK Health Security Agency (UKHSA) and Sleep Cycle published the results of a research study evaluating if cough data from a sleep app could give early indications of increasing respiratory illness in England.",
      "source": "GOV.UK",
      "instrument": "News",
      "claim_key": null,
      "published_at": "2026-09-03T09:08:10.000Z",
      "publisher_count": 1,
      "sources": [
        "GOV.UK"
      ]
    },
    {
      "statement": "Researchers found that cough data collected through the Sleep Cycle app closely reflected levels of respiratory illness reported through NHS 111, with rises in coughing often seen around a week before increases in flu and COVID-19 cases.",
      "source": "GOV.UK",
      "instrument": "News",
      "claim_key": null,
      "published_at": "2026-09-03T09:08:10.000Z",
      "publisher_count": 1,
      "sources": [
        "GOV.UK"
      ]
    },
    {
      "statement": "Researchers determined that the AI sleep technology could provide a one-week early warning of flu and COVID-19 cases.",
      "source": "thestkittsnevisobserver.com",
      "instrument": "News",
      "claim_key": null,
      "published_at": "2026-09-04T01:56:48.000Z",
      "publisher_count": 1,
      "sources": [
        "thestkittsnevisobserver.com"
      ]
    },
    {
      "statement": "Professor Steven Riley, Chief Data Officer at UKHSA, said that combining established surveillance approaches with novel digital health signals could contribute to an earlier, richer and more resilient understanding of population respiratory health.",
      "source": "GOV.UK",
      "instrument": "News",
      "claim_key": null,
      "published_at": "2026-09-03T09:08:10.000Z",
      "publisher_count": 1,
      "sources": [
        "GOV.UK"
      ]
    },
    {
      "statement": "The research specifically analyzed cough data to determine its utility as a public health metric.",
      "source": "thestkittsnevisobserver.com",
      "instrument": "News",
      "claim_key": null,
      "published_at": "2026-09-04T01:56:48.000Z",
      "publisher_count": 1,
      "sources": [
        "thestkittsnevisobserver.com"
      ]
    }
  ],
  "note": "A signature proves who filed this and that it has not changed since. It never makes a claim true."
}