{
  "abstract": "Background: Syndromic surveillance (SS) enables early detection of public health threats and population health monitoring. This work aimed to present tools prepared to assess short-term impact for exceptional environmental situations (EES) in France.\n\nMethods: A literature review identified pathologies likely to occur after major environmental events. Corresponding syndromic indicators were selected from the French SS system (SurSaUD®), which includes emergency department (ED) visits (OSCOUR® network) and unplanned GP consultations (SOS Médecins [SOSM]). Lists of indicators were finalized through working groups and analysis of past experiences.\n\nResults: Six priority EES were identified: storms, floods, wildfires, industrial accidents, earthquakes, and droughts. For each, 35–47 indicators (most of them being available for both OSCOUR® and SOSM) were classified into chapters such as digestive, respiratory, infectious diseases, and mental health. Three standard dashboard (DB) templates were developed to monitor short-term variations in the number of ED visits and SOSM medical acts, both all-cause and by indicator. Two DB allow monitoring daily variations compared to the 90 previous days for all ages (DB1) or by age groups (<15, ≥15) with supporting numerical data (DB2). The 3rd DB assesses weekly trend for all ages to enable longer-term analysis. DBs are configurable for different geographic areas and can be set up on the event day (D0) for automatic next-morning production. Additional tools map the residential areas of patients who usually visit each ED and provide typical data completeness at D + 1, aiding in the definition of surveillance areas and data interpretation. Advanced procedures include tagging event-related ED visits and SOSM consultations using predefined associated diagnostic codes.\n\nConclusions: DBs enable reactive health monitoring during EES, supporting decision-makers in implementing health management measures alongside other data sources.\n\nKey messages: • Dashboards based on syndromic surveillance data are reactive tools for monitoring population health during major environmental events.\n\n• The system’s operability depends on clear preparedness and procedures within a broader health monitoring framework involving multiple stakeholders.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "abstract",
  "arxiv": null,
  "author_total": 9,
  "authors": [
    {
      "name": "N Méthy"
    },
    {
      "name": "I Pontais"
    },
    {
      "name": "L Simac"
    },
    {
      "name": "E Hassan"
    },
    {
      "name": "V Courtillet"
    },
    {
      "name": "M Conte"
    },
    {
      "name": "P Pirard"
    },
    {
      "name": "J Guillevic"
    },
    {
      "name": "A Mathieu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/edcw5c6nm3hev.bib",
  "cited_by": 0,
  "doi": "10.1093/eurpub/ckag169.811",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13699128/",
  "id": "edcw5c6nm3hev",
  "issns": [
    "1101-1262",
    "1464-360X"
  ],
  "landing_url": "https://doi.org/10.1093/eurpub/ckag169.811",
  "language": "en",
  "licence": "CC-BY-NC-4.0",
  "licence_label": "CC BY-NC 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "5. Poster Walks"
    ],
    [
      "heading",
      "AcademicSubjects/MED00860"
    ],
    [
      "heading",
      "AcademicSubjects/SOC01210"
    ],
    [
      "heading",
      "AcademicSubjects/SOC02610"
    ],
    [
      "heading",
      "S.2. Poster Walk: One Health, environmental surveillance and health security"
    ],
    [
      "openalex",
      "2713|Data-Driven Disease Surveillance"
    ]
  ],
  "openalex": "W7223667423",
  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13699128/pdf/?tool=EBI",
  "pmcid": "PMC13699128",
  "pmid": null,
  "published": "2026-10-01",
  "publisher": "Oxford University Press",
  "ris": "https://research.draconitic.com/paper/edcw5c6nm3hev.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:47Z",
      "native_id": "PMC13699128",
      "source": "pmc",
      "url": "https://doi.org/10.1093/eurpub/ckag169.811"
    },
    {
      "first_seen": "2026-10-30T12:21:48Z",
      "native_id": "PMC:PMC13699128",
      "source": "europepmc",
      "url": "https://europepmc.org/article/PMC/PMC13699128"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2713|Data-Driven Disease Surveillance",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Response to exceptional environmental situations: contributions of syndromic surveillance in France",
  "title_text": "Response to exceptional environmental situations: contributions of syndromic surveillance in France",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:35:44Z",
  "url": "https://research.draconitic.com/paper/edcw5c6nm3hev",
  "venue": "The European Journal of Public Health",
  "versions": []
}