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A mathematical model of COVID-19 transmission in a tertiary hospital and assessment of the effects of different intervention strategies.
Baek, Yae Jee; Lee, Taeyong; Cho, Yunsuk; Hyun, Jong Hoon; Kim, Moo Hyun; Sohn, Yujin; Kim, Jung Ho; Ahn, Jin Young; Jeong, Su Jin; Ku, Nam Su; Yeom, Joon-Sup; Lee, Jeehyun; Choi, Jun Yong.
  • Baek YJ; Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Lee T; Department of Mathematics, Yonsei University, Seoul, Republic of Korea.
  • Cho Y; Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Hyun JH; Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Kim MH; Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Sohn Y; Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Kim JH; Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Ahn JY; Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Jeong SJ; Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Ku NS; Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Yeom JS; Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Lee J; Department of Mathematics, Yonsei University, Seoul, Republic of Korea.
  • Choi JY; Department of Computational Science and Engineering, Yonsei University, Seoul, Republic of Korea.
PLoS One ; 15(10): e0241169, 2020.
Article in English | MEDLINE | ID: covidwho-892386
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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Cross Infection / Infection Control / Coronavirus Infections / Pandemics / Tertiary Care Centers / Betacoronavirus / Models, Theoretical Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Cross Infection / Infection Control / Coronavirus Infections / Pandemics / Tertiary Care Centers / Betacoronavirus / Models, Theoretical Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article