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  <titleInfo>
    <title>Modelling strategies to organize healthcare workforce during pandemics: application to COVID-19</title>
  </titleInfo>
  <name type="personal">
    <namePart>Sánchez-Taltavull, Daniel</namePart>
  </name>
  <name type="personal">
    <namePart>Castelo-Szekely, Violeta</namePart>
  </name>
  <name type="personal">
    <namePart>Candinas, Daniel</namePart>
  </name>
  <name type="personal">
    <namePart>Roldán, Edgar</namePart>
  </name>
  <name type="personal">
    <namePart>Beldi, Guido</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <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 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.</abstract>
  <note type="statement of responsibility"> Daniel Sánchez-Taltavull [and five others]</note>
  <note>
To appear in: Journal of Theoretical Biology
DOI: https://doi.org/10.1016/j.jtbi.2021.110718 </note>
  <subject authority="mesh">
    <topic>Epidemiology</topic>
  </subject>
  <subject authority="mesh">
    <topic>Models, Theoretical</topic>
  </subject>
  <subject>
    <topic>Desynchronization Strategy</topic>
  </subject>
  <identifier type="uri">https://www.sciencedirect.com/science/article/pii/S0022519321001405?via%3Dihub</identifier>
  <location>
    <url>https://www.sciencedirect.com/science/article/pii/S0022519321001405?via%3Dihub</url>
  </location>
  <recordInfo>
    <recordCreationDate encoding="marc">210505</recordCreationDate>
    <recordChangeDate encoding="iso8601">20210505125621.0</recordChangeDate>
    <recordIdentifier source="DOH">D0001C000187</recordIdentifier>
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