{
  "abstract": "BackgroundEnhanced infection control measures were widely implemented during the COVID-19 pandemic, but their quantitative impact on healthcare-associated infections (HAIs) in specialized cancer hospitals remains insufficiently evaluated.MethodsMonthly surveillance data from January 2016 to June 2022 (78 time points) were collected from a tertiary cancer hospital in Sichuan Province, China. A Bayesian structural time series (BSTS) model was used to construct a counterfactual prediction of HAI incidence under the scenario without enhanced measures, and the causal effect was estimated by comparing observed and predicted values. Model convergence was assessed by Geweke and Heidelberger–Welch diagnostics. Robustness was further assessed through sensitivity analyses on the outcome scale (counts versus incidence rates), the definition of the intervention date, and alternative covariate sets.ResultsEnhanced infection control measures (June 2020–June 2022) were associated with a cumulative reduction of 525 HAI cases [95% credible interval (CrI): 203–1,051] relative to the pre-pandemic trend, corresponding to a 36% relative reduction (95% CrI: 19–54%; posterior tail probability p < 0.01). Subgroup analyses showed significant reductions in respiratory system HAIs (357 cases; 38% reduction) and urinary system HAIs (56 cases; 46% reduction), while the reduction in oral cavity HAIs was not statistically significant.ConclusionEnhanced infection control measures significantly reduced HAI incidence, particularly in the respiratory and urinary systems. These findings provide evidence for optimizing infection control policies in specialized cancer hospitals in the post-pandemic era.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "Original Research",
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "name": "Qingqing Tian"
    },
    {
      "name": "Qin Huang"
    },
    {
      "name": "Hui Wang"
    },
    {
      "name": "Jiayang Tang"
    },
    {
      "name": "Anran Liu"
    },
    {
      "name": "Weiwei Yang"
    },
    {
      "name": "Weibing Li"
    },
    {
      "name": "Chunlin Wu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/4y1nn9eq056w9.bib",
  "cited_by": 0,
  "doi": "10.3389/fpubh.2026.1946523",
  "fulltext_url": null,
  "id": "4y1nn9eq056w9",
  "issns": [
    "2296-2565"
  ],
  "landing_url": "https://www.frontiersin.org/articles/10.3389/fpubh.2026.1946523",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "feed-journal",
      "medicine/epidemiology-public-health"
    ]
  ],
  "openalex": null,
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-09",
  "publisher": "Frontiers Media SA",
  "ris": "https://research.draconitic.com/paper/4y1nn9eq056w9.ris",
  "sources": [
    {
      "first_seen": "2026-11-09T06:20:11Z",
      "native_id": "10.3389/fpubh.2026.1946523",
      "source": "feed-frontiers",
      "url": "https://www.frontiersin.org/articles/10.3389/fpubh.2026.1946523"
    },
    {
      "first_seen": "2026-11-09T12:23:43Z",
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      "url": "https://www.frontiersin.org/articles/10.3389/fpubh.2026.1946523/full"
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  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "feed-journal:medicine/epidemiology-public-health",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Enhanced infection control measures during the COVID-19 pandemic significantly reduced healthcare-associated infections in a Chinese cancer hospital: a Bayesian structural time series analysis",
  "title_text": "Enhanced infection control measures during the COVID-19 pandemic significantly reduced healthcare-associated infections in a Chinese cancer hospital: a Bayesian structural time series analysis",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T12:23:43Z",
  "url": "https://research.draconitic.com/paper/4y1nn9eq056w9",
  "venue": "Frontiers in Public Health",
  "versions": []
}