Silicosis Surveillance in California, 2019–2024: Tracking an Epidemic.

Objectives. To characterize the nature, burden, and trends of silicosis among California workers, including workers with engineered stone exposures. Methods. We conducted multisource public health surveillance and generated descriptive statistics, compared engineered stone cases to cases with other...

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Publicado en:American Journal of Public Health Vol. 115; no. 11; pp. 1913 - 1922
Autores principales: Flattery, Jennifer, Woolsey, Chelsea, Fazio, Jane C., Gandhi, Sheiphali A., Heinzerling, Amy, Harrison, Robert J., Cummings, Kristin J.
Formato: Artículo
Publicado: American Public Health Association Nov2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2025
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      pub: American Public Health Association
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        188519045
        10.2105/AJPH.2025.308225
      ppf: 1913
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        atl: Silicosis Surveillance in California, 2019–2024: Tracking an Epidemic.
      aug:
        au:
          Flattery, Jennifer
          Woolsey, Chelsea
          Fazio, Jane C.
          Gandhi, Sheiphali A.
          Heinzerling, Amy
          Harrison, Robert J.
          Cummings, Kristin J.
      su:
        California
        Public health surveillance
        Mortality
        Occupational diseases
        Disease outbreaks
        Hospitals
        Age distribution
        Industrial hygiene
        Research funding
        Lung transplantation
        Dust diseases
        Descriptive statistics
        Diagnosis
        Occupational exposure
        Research methodology
        Electronic health records
        Mineral industries
        Comparative studies
        Data analysis software
        Nosology
        Medical referrals
        Disease progression
      sug:
        subj:
          Public health surveillance
          Mortality
          Occupational diseases
          Disease outbreaks
          Hospitals
          Age distribution
          Industrial hygiene
          California
          General Medical and Surgical Hospitals
          General (except paediatric) hospitals
          Mineral, ore and precious metal merchant wholesalers
          Coal and Other Mineral and Ore Merchant Wholesalers
          Research funding
          Lung transplantation
          Dust diseases
          Descriptive statistics
          Diagnosis
          Occupational exposure
          Research methodology
          Electronic health records
          Mineral industries
          Comparative studies
          Data analysis software
          Nosology
          Medical referrals
          Disease progression
      ab: Objectives. To characterize the nature, burden, and trends of silicosis among California workers, including workers with engineered stone exposures. Methods. We conducted multisource public health surveillance and generated descriptive statistics, compared engineered stone cases to cases with other silica exposures, and examined the utility of various data sources for silicosis surveillance. Results. We received 1817 reports of possible silicosis for 648 individuals from 2019 to 2024 and confirmed 296 (46%) cases, including 243 (82%) associated with engineered stone exposures. Engineered stone cases were more likely to be younger, men, Latino, and from Los Angeles County than were non–engineered stone cases. Of engineered stone cases, at least 15 (6%) were known to have died, and 60 (25%) were referred for lung transplant, including 30 (12%) who received transplants. There was limited overlap between reporting mechanisms. Conclusions. Multisource surveillance was effective for identifying a large number of individuals with silicosis, including people exposed to engineered stone. Outcomes were severe, and many patients had advanced disease. Results illustrate that worker screening and silica exposure mitigation are essential to prevent morbidity and mortality in the engineered stone countertop fabrication industry. (Am J Public Health. 2025;115(11):1913–1921. https://doi.org/10.2105/AJPH.2025.308225)
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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