TY - JOUR
T1 - Initial estimates of COVID-19 infections in hospital workers in the United States during the first wave of pandemic
AU - Razzak, Junaid A.
AU - Bhatti, Junaid A.
AU - Tahir, Muhammad Ramzan
AU - Pasha-Razzak, Omrana
N1 - Funding Information:
The Fogarty International Centre of the National Institute of Health and ELRHA UK provided grant support to JAR. Manulife Canada (Financial Institution) provided support in the form of salary for JAB, and APOTEX (Generic Pharmaceutical manufacturing company) provided support in the form of salary for MRT. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section. Disclaimers: The opinions and findings presented in this manuscript are of authors only. The views presented here do not represent the official position or policy of the authors’ affiliate institutions.
Publisher Copyright:
© 2020 Razzak et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2020/12
Y1 - 2020/12
N2 - Objective 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. Methods We calculated infection and death rates amongst US hospital workers per 100 COVID-19related 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.
AB - Objective 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. Methods We calculated infection and death rates amongst US hospital workers per 100 COVID-19related 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.
UR - http://www.scopus.com/inward/record.url?scp=85097310720&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0242589
DO - 10.1371/journal.pone.0242589
M3 - Article
C2 - 33275599
AN - SCOPUS:85097310720
SN - 1932-6203
VL - 15
JO - PLoS ONE
JF - PLoS ONE
IS - 12 December
M1 - e0242589
ER -