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Modelling strategies to organize healthcare workforce during pandemics: Application to COVID-19.
Sánchez-Taltavull, Daniel; Castelo-Szekely, Violeta; Candinas, Daniel; Roldán, Edgar; Beldi, Guido.
Afiliación
  • Sánchez-Taltavull D; Department for Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Switzerland; Bern Center for Precision Medicine, Switzerland. Electronic address: guido.beldi@insel.ch.
  • Castelo-Szekely V; Department for Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Switzerland; Bern Center for Precision Medicine, Switzerland.
  • Candinas D; Department for Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Switzerland; Bern Center for Precision Medicine, Switzerland.
  • Roldán E; ICTP - The Abdus Salam International Centre for Theoretical Physics, Strada Costiera 11, 34151 Trieste, Italy.
  • Beldi G; Department for Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Switzerland; Bern Center for Precision Medicine, Switzerland.
J Theor Biol ; 523: 110718, 2021 08 21.
Article en En | MEDLINE | ID: mdl-33862091
Protection of the healthcare workforce is of paramount importance for the care of patients in the setting of a pandemic such as coronavirus disease 2019 (COVID-19). Healthcare workers are at increased risk of becoming infected. The ideal organisational strategy to protect the workforce in a situation in which social distancing cannot be maintained remains to be determined. In this study, we have mathematically modelled strategies for the employment of the hospital workforce with the goal of simulating the health and productivity of the workers. The models were designed to determine if desynchronization of medical teams by dichotomizing the workers may protect the workforce. Our studies model workforce productivity and the efficiency of home office applied to the case of COVID-19. The results reveal that a desynchronization strategy in which two medical teams work alternating for 7 days increases the available workforce.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Pandemias / COVID-19 Límite: Humans Idioma: En Revista: J Theor Biol Año: 2021 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Pandemias / COVID-19 Límite: Humans Idioma: En Revista: J Theor Biol Año: 2021 Tipo del documento: Article