Current Data Gaps in Modeling Essential Worker Absenteeism Due to COVID-19

With the uncertain physical and mental health implications of COVID-19 infection, companies have taken a myriad of actions that aim to reduce the risk of employees contracting the virus, with most grounded in reducing or eliminating in-person interactions. Our preliminary analysis indicates that whi...

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Bibliographic Details
Published in:Disaster Medicine and Public Health Preparedness 2021-08, Vol.15 (4), p.e10-e11
Main Authors: White, Zackery, Schlegelmilch, Jeff, Ratner, Jackie, Saxena, Gunjan, Wongsodirdjo, Kevin, Aguilar, Susanna, Kushner, Daniel, Ortega, Jim, Paaso, Aleksi, Bahramirad, Shay
Format: Article
Language:English
Subjects:
Absenteeism
Conflicts of interest
Coronaviruses
COVID-19
COVID-19 - epidemiology
COVID-19 - therapy
Data Collection - standards
Emergency preparedness
Employees
Employment - statistics & numerical data
Hospitalization
Humans
Letter to the Editor
Mental health
Models, Statistical
Online Section: COVID-19
Quarantine
Citations: Items that cite this one
Online Access:Request full text
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Summary:With the uncertain physical and mental health implications of COVID-19 infection, companies have taken a myriad of actions that aim to reduce the risk of employees contracting the virus, with most grounded in reducing or eliminating in-person interactions. Our preliminary analysis indicates that while there is some data to support modelling absenteeism, there are gaps in the available evidence, requiring the use of assumptions that limit precision and efficacy for decision support. Improved data on time-to-recovery after hospitalization, absenteeism due to family or other household member illness, and mental health’s impact on returning to work will support the development of more robust absenteeism models and analytical approaches.
ISSN:1935-7893
1938-744X
DOI:10.1017/dmp.2020.353