ArticleJournal of theoretical biology2021
Modelling strategies to organize healthcare workforce during pandemics: Application to COVID-19.
Article in Journal of theoretical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Stochastic modelling of viral infection spread via a Partial Integro-Differential Equation.Infectious Disease Modelling · 2025Article
- Infectious Disease in the Workplace: Quantifying Uncertainty in Transmission.Bulletin of mathematical biology · 2024Article
- A simulation model for predicting hospital occupancy for Covid-19 using archetype analysis.Healthcare analytics (New York, N.Y.) · 2023Article
- On the optimal presence strategies for workplace during pandemics: A COVID-19 inspired probabilistic model.PloS one · 2023Article
- Estimating the risk of incident SARS-CoV-2 infection among healthcare workers in quarantine hospitals: the Egyptian example.Scientific reports · 2022Article
- Stochastic SIR model predicts the evolution of COVID-19 epidemics from public health and wastewater data in small and medium-sized municipalities: A one year study.Chaos, solitons, and fractals · 2022Article
- When uncertainty becomes the norm: The Chris Hani Baragwanath Academic Hospital's Speech Therapy and Audiology Department's response to the COVID-19 pandemic.The South African journal of communication disorders = Die Suid-Afrikaanse tydskrif vir Kommunikasieafwykings · 2022Review
- Mathematical modeling of COVID-19 transmission dynamics between healthcare workers and community.Results in physics · 2021Article
- Mass Testing and Proactiveness Affect Epidemic Spreading.Journal of the Indian Institute of Science · 2021Review
- Regular testing of asymptomatic healthcare workers identifies cost-efficient SARS-CoV-2 preventive measures.PloS one · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.