000			01815nam a22002417a 4500
001			D0001C000187
003			DOH
005			20210505125621.0
008			210505b ||||| |||| 00| 0 eng d
245	0	0	_aModelling strategies to organize healthcare workforce during pandemics: application to COVID-19 / _c Daniel Sánchez-Taltavull [and five others]
520	3		_aProtection 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 organizational 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.
580			_a To appear in: Journal of Theoretical Biology DOI: https://doi.org/10.1016/j.jtbi.2021.110718
650		2	_aEpidemiology
650		2	_aModels, Theoretical
653			_aDesynchronization Strategy
700	1		_aSánchez-Taltavull, Daniel
700	1		_aCastelo-Szekely, Violeta
700	1		_aCandinas, Daniel
700	1		_aRoldán, Edgar
700	1		_aBeldi, Guido
856			_uhttps://www.sciencedirect.com/science/article/pii/S0022519321001405?via%3Dihub
942			_cCV
999			_c4410 _d4410