Ontology highlight
ABSTRACT:
Methods: We calculated infection and death rates amongst US hospital workers per 100 COVID-19-related deaths in the general population based on observed numbers in Hubei, China, and Italy. We used Monte Carlo simulations to compute point estimates with 95% confidence intervals for hospital worker (HW) infections in the US based on each of these two scenarios. We also assessed the impact of restricting hospital workers aged ? 60 years from performing patient care activities on these estimates.
Results: We estimated that about 53,000 hospital workers in the US could get infected, and 1579 could die due to COVID19. The availability of PPE for high-risk workers alone could reduce this number to about 28,000 infections and 850 deaths. Restricting high-risk hospital workers such as those aged ? 60 years from direct patient care could reduce counts to 2,000 healthcare worker infections and 60 deaths.
Conclusion: We estimate that US hospital workers will bear a significant burden of illness due to COVID-19. Making PPE available to all hospital workers and reducing the exposure of hospital workers above the age of 60 could mitigate these risks.
SUBMITTER: Razzak JA
PROVIDER: S-EPMC7717542 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Razzak Junaid A JA Bhatti Junaid A JA Tahir Muhammad Ramzan MR Pasha-Razzak Omrana O
PloS one 20201204 12
<h4>Objective</h4>We estimated the number of hospital workers in the United States (US) that might be infected or die during the COVID-19 pandemic based on the data in the early phases of the pandemic.<h4>Methods</h4>We calculated infection and death rates amongst US hospital workers per 100 COVID-19-related deaths in the general population based on observed numbers in Hubei, China, and Italy. We used Monte Carlo simulations to compute point estimates with 95% confidence intervals for hospital w ...[more]