ArticlePloS one2020
A mathematical model of COVID-19 transmission in a tertiary hospital and assessment of the effects of different intervention strategies.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Modelling TB-HIV co-infection and evaluating intervention strategies in Thailand.BMC infectious diseases · 2026Article
- Proximal femoral fractures in patients with COVID-19 : Pneumonia and admission from a nursing home are the strongest predictors of mortality.Zeitschrift fur Gerontologie und Geriatrie · 2024Article
- Impacts of optimal control strategies on the HBV and COVID-19 co-epidemic spreading dynamics.Scientific reports · 2024Article
- Symptom-based scoring technique by machine learning to predict COVID-19: a validation study.BMC infectious diseases · 2023Article
- Evaluating the impact of testing strategies for the detection of nosocomial COVID-19 in English hospitals through data-driven modeling.Frontiers in medicine · 2023Article
- Analysis of HBV and COVID-19 Coinfection Model with Intervention Strategies.Computational and mathematical methods in medicine · 2023Article
- Mathematical Modeling of COVID-19 Transmission and Intervention in South Korea: A Review of Literature.Yonsei medical journal · 2023Review
- Bifurcation and optimal control analysis of HIV/AIDS and COVID-19 co-infection model with numerical simulation.PloS one · 2023Article
- The effect of shortening the quarantine period and lifting the indoor mask mandate on the spread of COVID-19: a mathematical modeling approach.Frontiers in public health · 2023Article
- A qualitative study on a novel peer collaboration care programme during the first COVID-19 outbreak: A SWOT analysis.Nursing open · 2022Article
- The epidemiological characteristics and effectiveness of countermeasures to contain coronavirus disease 2019 in Ningbo City, Zhejiang Province, China.Scientific reports · 2021Article
- Epidemiological analysis of a COVID-19 outbreak associated with an infected surgeon.Epidemiology and infection · 2021Article
- Article
- Modelling COVID-19 transmission in a hemodialysis centre using simulation generated contacts matrices.PloS one · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Novel coronavirus (named SARS-CoV-2) can spread widely in confined settings including hospitals, cruise ships, prisons, and places of worship. In particular, a healthcare-associated outbreak could become the epicenter of coronavirus disease (COVID-19). This study aimed to evaluate the effects of different intervention strategies on the hospital outbreak within a tertiary hospital. A mathematical model was developed for the COVID-19 transmission within a 2500-bed tertiary hospital of South Korea. The SEIR (susceptible-exposed-infectious-recovered) model with a compartment of doctor, nurse, patient, and caregiver was constructed. The effects of different intervention strategies such as front door screening, quarantine unit for newly admitted patients, early testing of suspected infected people, and personal protective equipment for both medical staff and visitors were evaluated. The model suggested that the early testing (within eight hours) of infected cases and monitoring the quarantine ward for newly hospitalized patients are effective measures for decreasing the incidence of COVID-19 within a hospital (81.3% and 70% decrease of number of incident cases, respectively, during 60 days). Front door screening for detecting suspected cases had only 42% effectiveness. Screening for prohibiting the admission of COVID-19 patients was more effective than the measures for patients before emergency room or outpatient clinic. This model suggests that under the assumed conditions, some effective measures have a great influence on the incidence of COVID-19 within a hospital. The implementation of the preventive measures could reduce the size of a hospital outbreak.
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