Modelling strategies to organize healthcare workforce during pandemics: application to COVID-19 / (Record no. 4410)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01815nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DOH |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20210505125621.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210505b ||||| |||| 00| 0 eng d |
| 245 00 - TITLE STATEMENT | |
| Title | Modelling strategies to organize healthcare workforce during pandemics: application to COVID-19 / |
| Statement of responsibility, etc. | Daniel Sánchez-Taltavull [and five others] |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | Protection of the healthcare workforce is of paramount importance for the<br/>care of patients in the setting of a pandemic such as coronavirus disease 2019<br/>(COVID-19). Healthcare workers are at increased risk of becoming infected.<br/>The ideal organizational strategy to protect the workforce in a situation in<br/>which social distancing cannot be maintained remains to be determined. In this<br/>study, we have mathematically modelled strategies for the employment of the<br/>hospital workforce with the goal of simulating the health and productivity of<br/>the workers. The models were designed to determine if desynchronization of<br/>medical teams by dichotomizing the workers may protect the workforce. Our<br/>studies model workforce productivity and the efficiency of home office applied<br/>to the case of COVID-19. The results reveal that a desynchronization strategy<br/>in which two medical teams work alternating for 7 days increases the available<br/>workforce. |
| 580 ## - LINKING ENTRY COMPLEXITY NOTE | |
| Linking entry complexity note | <br/>To appear in: Journal of Theoretical Biology<br/>DOI: https://doi.org/10.1016/j.jtbi.2021.110718 |
| 650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Epidemiology |
| 650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Models, Theoretical |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Desynchronization Strategy |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Sánchez-Taltavull, Daniel |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Castelo-Szekely, Violeta |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Candinas, Daniel |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Roldán, Edgar |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Beldi, Guido |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://www.sciencedirect.com/science/article/pii/S0022519321001405?via%3Dihub">https://www.sciencedirect.com/science/article/pii/S0022519321001405?via%3Dihub</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | COVID 19 Resource |
| 999 ## - | |
| -- | 4410 |
| -- | 4410 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| National Library of Medicine | DOH Central Library | DOH Central Library | Electronic Resource Section | 05/05/2021 | COVID-19-000187 | 05/05/2021 | D0001C000187 | 05/05/2021 | COVID 19 Resource |