{
  "abstract": "The magnitude and timing of short-term associations of weather and air quality with ophthalmic attendance remain poorly quantified. We analysed completed attendances from a tertiary ophthalmology department in Jiangsu, China (2015–2025; 3,788 days) using a time-stratified case-crossover design with conditional Poisson regression. Exposures included catchment-weighted meteorology, nitrogen dioxide (NO₂), and fine particulate matter (PM₂.₅); extreme heat, cold, and heavy rainfall were accumulated over 0–3 and 0–7 days. Over 0–3 days, each additional extreme-heat or heavy-rainfall day was associated with lower completed attendance (rate ratios 0.961 [95% CI 0.954–0.967] and 0.937 [95% CI 0.923–0.952], respectively; both p < 0.0001), whereas extreme cold showed no clear association. From a baseline of 293 visits/day, two heat days and two heavy-rainfall days corresponded to approximately 23 and 36 fewer visits/day, respectively. Lag analyses suggested delayed positive rainfall associations compatible with partial compensation, but no comparable heat pattern within 21 days. The retrospective trigger simulation had 39% precision and 59% recall; approximately 61% of triggered days were false alarms. Locally derived heat thresholds and rainfall amount-related estimates may support preparedness planning. Because completed attendance—not underlying ophthalmic need—was measured, real-time use requires prospective validation of safety, equity, and unmet-need outcomes.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Ophthalmology, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University",
    "Department of Biobank, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Tian Yang"
    },
    {
      "affs": [
        0
      ],
      "name": "Chen Qin"
    },
    {
      "affs": [
        1
      ],
      "name": "Li Ding"
    },
    {
      "affs": [
        0
      ],
      "name": "Jie Zhu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/d0ag56chthawz.bib",
  "cited_by": 0,
  "doi": "10.1038/s41598-026-64134-2",
  "fulltext_url": "https://doi.org/10.1038/s41598-026-64134-2",
  "id": "d0ag56chthawz",
  "issns": [
    "2045-2322"
  ],
  "landing_url": "https://doi.org/10.1038/s41598-026-64134-2",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "Q"
    ],
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      "lcc",
      "R"
    ],
    [
      "openalex",
      "2307|Climate Change and Health Impacts"
    ]
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  "openalex": "W7170301393",
  "pdf_url": "https://www.nature.com/articles/s41598-026-64134-2_reference.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-07-01",
  "publisher": "Nature Portfolio",
  "ris": "https://research.draconitic.com/paper/d0ag56chthawz.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:45:54Z",
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      "url": "https://doi.org/10.1038/s41598-026-64134-2"
    }
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  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2307|Climate Change and Health Impacts",
      "subfield": "pharmacology-toxicology"
    }
  ],
  "title": "Short term associations of weather and air quality with ophthalmic outpatient attendance in eastern China",
  "title_text": "Short term associations of weather and air quality with ophthalmic outpatient attendance in eastern China",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:45:54Z",
  "url": "https://research.draconitic.com/paper/d0ag56chthawz",
  "venue": "Scientific Reports",
  "versions": []
}